NATURAL_LANG stringlengths 12 244 | SQL stringlengths 18 336 | SCHEMA stringlengths 27 355 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
What date has 6 as the tie no.? | SELECT date FROM table_name_73 WHERE tie_no = "6" | CREATE TABLE table_name_73 (date VARCHAR, tie_no VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
5522,
584,
4280,
28027,
6,
6177,
834,
29,
32,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
833,
65,
431,
38,
8,
6177,
150,
5,
58,
1,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
6177,
834,
29,
32,
3274,
96,
948,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is Fastest Lap, when Winning Team is Team BRM, when Race is 1, when Pole Position is Leanne Tander, and when Circuit is Phillip Island? | SELECT fastest_lap FROM table_name_8 WHERE winning_team = "team brm" AND race = 1 AND pole_position = "leanne tander" AND circuit = "phillip island" | CREATE TABLE table_name_8 (fastest_lap VARCHAR, circuit VARCHAR, pole_position VARCHAR, winning_team VARCHAR, race VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
11584,
222,
834,
8478,
584,
4280,
28027,
6,
4558,
584,
4280,
28027,
6,
11148,
834,
4718,
584,
4280,
28027,
6,
3447,
834,
11650,
584,
4280,
28027,
6,
1964,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
10391,
834,
8478,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
3447,
834,
11650,
3274,
96,
11650,
6397,
51,
121,
3430,
1964,
3274,
209,
3430,
11148,
834,
4718,
3274,
96,
109,
4515,
3,
17,
11849,
121,
3430,
4558,
... |
What is Fastest Lap, when Round is 5, and when Winning Driver is James Winslow? | SELECT fastest_lap FROM table_name_68 WHERE round = "5" AND winning_driver = "james winslow" | CREATE TABLE table_name_68 (fastest_lap VARCHAR, round VARCHAR, winning_driver VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
11584,
222,
834,
8478,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
3447,
834,
13739,
52,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
10391,
834,
8478,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
1751,
3274,
96,
17395,
3430,
3447,
834,
13739,
52,
3274,
96,
1191,
2687,
9204,
3216,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is Date, when Fastest Lap is James Winslow, when Race is 1, and when Winning Driver is Leanne Tander? | SELECT date FROM table_name_81 WHERE fastest_lap = "james winslow" AND race = 1 AND winning_driver = "leanne tander" | CREATE TABLE table_name_81 (date VARCHAR, winning_driver VARCHAR, fastest_lap VARCHAR, race VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
5522,
584,
4280,
28027,
6,
3447,
834,
13739,
52,
584,
4280,
28027,
6,
10391,
834,
8478,
584,
4280,
28027,
6,
1964,
584,
4280,
28027,
61,
3,
32105,
32106,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
10391,
834,
8478,
3274,
96,
1191,
2687,
9204,
3216,
121,
3430,
1964,
3274,
209,
3430,
3447,
834,
13739,
52,
3274,
96,
109,
4515,
3,
17,
11849,
121,
1,
-100,
-1... |
What is Pole Position, when Circuit is Adelaide Street Circuit, and when Winning Team is Piccola Scuderia Corse? | SELECT pole_position FROM table_name_71 WHERE circuit = "adelaide street circuit" AND winning_team = "piccola scuderia corse" | CREATE TABLE table_name_71 (pole_position VARCHAR, circuit VARCHAR, winning_team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4450,
41,
14332,
834,
4718,
584,
4280,
28027,
6,
4558,
584,
4280,
28027,
6,
3447,
834,
11650,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
19418,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
11148,
834,
4718,
21680,
953,
834,
4350,
834,
4450,
549,
17444,
427,
4558,
3274,
96,
15311,
5385,
2815,
4558,
121,
3430,
3447,
834,
11650,
3274,
96,
6174,
12600,
3,
7,
1071,
26,
4476,
4301,
7,
15,
121,
1,
-100,
-100... |
What country was the game played in when the location was trestles? | SELECT country FROM table_name_18 WHERE location = "trestles" | CREATE TABLE table_name_18 (country VARCHAR, location VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2606,
41,
17529,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
684,
47,
8,
467,
1944,
16,
116,
8,
1128,
47,
3,
17,
6216,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
684,
21680,
953,
834,
4350,
834,
2606,
549,
17444,
427,
1128,
3274,
96,
17,
6216,
965,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What date was the game played when it was located at bells beach? | SELECT date FROM table_name_8 WHERE location = "bells beach" | CREATE TABLE table_name_8 (date VARCHAR, location VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
5522,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
833,
47,
8,
467,
1944,
116,
34,
47,
1069,
44,
12815,
7,
2608,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
1128,
3274,
96,
7708,
7,
2608,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What country was the game played when it was played from April 11-April 21? | SELECT country FROM table_name_73 WHERE date = "april 11-april 21" | CREATE TABLE table_name_73 (country VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
17529,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
684,
47,
8,
467,
1944,
116,
34,
47,
1944,
45,
1186,
850,
18,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
684,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
833,
3274,
96,
9,
2246,
40,
850,
18,
9,
2246,
40,
1401,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who was the Runner-up when the game was played at Bells Beach? | SELECT runner_up FROM table_name_31 WHERE location = "bells beach" | CREATE TABLE table_name_31 (runner_up VARCHAR, location VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
10806,
834,
413,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
47,
8,
3,
23572,
18,
413,
116,
8,
467,
47,
1944,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
10806,
834,
413,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
1128,
3274,
96,
7708,
7,
2608,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which Accolade had a publication of Under the Radar? | SELECT accolade FROM table_name_44 WHERE publication = "under the radar" | CREATE TABLE table_name_44 (accolade VARCHAR, publication VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3628,
41,
21007,
14712,
584,
4280,
28027,
6,
5707,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
4292,
12600,
221,
141,
3,
9,
5707,
13,
3526,
8,
6324,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
30022,
21680,
953,
834,
4350,
834,
3628,
549,
17444,
427,
5707,
3274,
96,
7248,
8,
16092,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which year had a publication of Pazz & Jop? | SELECT year FROM table_name_99 WHERE publication = "pazz & jop" | CREATE TABLE table_name_99 (year VARCHAR, publication VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
1201,
584,
4280,
28027,
6,
5707,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
215,
141,
3,
9,
5707,
13,
2709,
5271,
3,
184,
2194,
102,
58... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
215,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
5707,
3274,
96,
20118,
172,
3,
184,
3,
1927,
102,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many districts featured the democrat nicholas von stein? | SELECT COUNT(district) FROM table_name_57 WHERE democratic = "nicholas von stein" | CREATE TABLE table_name_57 (district VARCHAR, democratic VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
26,
23,
20066,
584,
4280,
28027,
6,
15053,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
186,
14126,
4510,
8,
3,
23319,
3,
2532,
2831,
9,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
26,
23,
20066,
61,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
15053,
3274,
96,
2532,
2831,
9,
7,
193,
3,
4008,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which incumbent's democratic candidate was mike carroll? | SELECT incumbent FROM table_name_21 WHERE democratic = "mike carroll" | CREATE TABLE table_name_21 (incumbent VARCHAR, democratic VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2658,
41,
77,
75,
5937,
295,
584,
4280,
28027,
6,
15053,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
28406,
31,
7,
15053,
4775,
47,
3,
20068,
15,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
28406,
21680,
953,
834,
4350,
834,
2658,
549,
17444,
427,
15053,
3274,
96,
20068,
15,
443,
4046,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who ran under the Democratic ticket when Edward R. Dudley ran under the Liberal ticket? | SELECT democratic_ticket FROM table_name_68 WHERE liberal_ticket = "edward r. dudley" | CREATE TABLE table_name_68 (democratic_ticket VARCHAR, liberal_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
23319,
447,
834,
26639,
584,
4280,
28027,
6,
10215,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
4037,
365,
8,
10021,
4142,
116,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15053,
834,
26639,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
10215,
834,
26639,
3274,
96,
15,
26,
2239,
3,
52,
5,
146,
26,
1306,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
When John Emanuel ran under the Socialist Labor ticket who ran under the Democratic ticket? | SELECT democratic_ticket FROM table_name_99 WHERE socialist_labor_ticket = "john emanuel" | CREATE TABLE table_name_99 (democratic_ticket VARCHAR, socialist_labor_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
23319,
447,
834,
26639,
584,
4280,
28027,
6,
23737,
834,
9456,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
1079,
262,
348,
76,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15053,
834,
26639,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
23737,
834,
9456,
834,
26639,
3274,
96,
27341,
3,
15,
348,
76,
15,
40,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the office up for election when Sylvia Weinstein ran under the Socialist Workers ticket? | SELECT office FROM table_name_55 WHERE socialist_workers_ticket = "sylvia weinstein" | CREATE TABLE table_name_55 (office VARCHAR, socialist_workers_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3769,
41,
19632,
584,
4280,
28027,
6,
23737,
834,
1981,
277,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
828,
95,
21,
4356,
116,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
828,
21680,
953,
834,
4350,
834,
3769,
549,
17444,
427,
23737,
834,
1981,
277,
834,
26639,
3274,
96,
7,
63,
40,
5907,
62,
77,
4008,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who ran under the Socialist Labor ticket when Robert M. Morgenthau ran for the Democratic ticket? | SELECT socialist_labor_ticket FROM table_name_28 WHERE democratic_ticket = "robert m. morgenthau" | CREATE TABLE table_name_28 (socialist_labor_ticket VARCHAR, democratic_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
15745,
343,
834,
9456,
834,
26639,
584,
4280,
28027,
6,
15053,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
4037,
365,
8,
2730,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
23737,
834,
9456,
834,
26639,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
15053,
834,
26639,
3274,
96,
5840,
49,
17,
3,
51,
5,
8030,
729,
189,
402,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
When Republican ticket was John P. Lomenzo who ran for the Socialist Workers ticket? | SELECT socialist_workers_ticket FROM table_name_99 WHERE republican_ticket = "john p. lomenzo" | CREATE TABLE table_name_99 (socialist_workers_ticket VARCHAR, republican_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
15745,
343,
834,
1981,
277,
834,
26639,
584,
4280,
28027,
6,
20237,
152,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
8994,
4142,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
23737,
834,
1981,
277,
834,
26639,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
20237,
152,
834,
26639,
3274,
96,
27341,
3,
102,
5,
3,
40,
7159,
20547,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the area km2 of the area with a pop density people/km2 larger than 91, is a member state of Italy, and had less than 58.8 population in millions? | SELECT SUM(area_km_2) FROM table_name_70 WHERE pop_density_people_km_2 > 91 AND member_state = "italy" AND population_in_millions < 58.8 | CREATE TABLE table_name_70 (area_km_2 INTEGER, population_in_millions VARCHAR, pop_density_people_km_2 VARCHAR, member_state VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
498,
834,
5848,
834,
357,
3,
21342,
17966,
6,
2074,
834,
77,
834,
17030,
7,
584,
4280,
28027,
6,
2783,
834,
537,
7,
485,
834,
16588,
834,
5848,
834,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
498,
834,
5848,
834,
7318,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
2783,
834,
537,
7,
485,
834,
16588,
834,
5848,
834,
357,
2490,
3,
4729,
3430,
1144,
834,
5540,
3274,
96,
9538,
63,
121,
... |
What is the area % of EU with 16.4 population in millions? | SELECT area__percentage_of_eu FROM table_name_39 WHERE population_in_millions = 16.4 | CREATE TABLE table_name_39 (area__percentage_of_eu VARCHAR, population_in_millions VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
498,
834,
834,
883,
3728,
545,
834,
858,
834,
15,
76,
584,
4280,
28027,
6,
2074,
834,
77,
834,
17030,
7,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
616,
834,
834,
883,
3728,
545,
834,
858,
834,
15,
76,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
2074,
834,
77,
834,
17030,
7,
3274,
10128,
591,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the total number of area km2 with a 4.2 population in millions and is a member state of the Czech Republic? | SELECT COUNT(area_km_2) FROM table_name_8 WHERE population_in_millions > 4.2 AND member_state = "czech republic" | CREATE TABLE table_name_8 (area_km_2 VARCHAR, population_in_millions VARCHAR, member_state VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
498,
834,
5848,
834,
357,
584,
4280,
28027,
6,
2074,
834,
77,
834,
17030,
7,
584,
4280,
28027,
6,
1144,
834,
5540,
584,
4280,
28027,
61,
3,
32105,
32106... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
498,
834,
5848,
834,
7318,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
2074,
834,
77,
834,
17030,
7,
2490,
3,
19765,
3430,
1144,
834,
5540,
3274,
96,
75,
776,
524,
20237,
121,
1,
-100,
-100,
... |
What is the sum of the pop density people/km2 with a population % of EU of 0.1%, an area % of EU of 0.1%, and has more than 0.5 population in millions? | SELECT SUM(pop_density_people_km_2) FROM table_name_47 WHERE population__percentage_of_eu = "0.1%" AND area__percentage_of_eu = "0.1%" AND population_in_millions > 0.5 | CREATE TABLE table_name_47 (pop_density_people_km_2 INTEGER, population_in_millions VARCHAR, population__percentage_of_eu VARCHAR, area__percentage_of_eu VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4177,
41,
9791,
834,
537,
7,
485,
834,
16588,
834,
5848,
834,
357,
3,
21342,
17966,
6,
2074,
834,
77,
834,
17030,
7,
584,
4280,
28027,
6,
2074,
834,
834,
883,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
9791,
834,
537,
7,
485,
834,
16588,
834,
5848,
834,
7318,
21680,
953,
834,
4350,
834,
4177,
549,
17444,
427,
2074,
834,
834,
883,
3728,
545,
834,
858,
834,
15,
76,
3274,
96,
16029,
1454,
121,
3430,
... |
What is the lowest area km2 of the member state of the Czech Republic and has a population in millions lesss than 10.3? | SELECT MIN(area_km_2) FROM table_name_61 WHERE member_state = "czech republic" AND population_in_millions < 10.3 | CREATE TABLE table_name_61 (area_km_2 INTEGER, member_state VARCHAR, population_in_millions VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
498,
834,
5848,
834,
357,
3,
21342,
17966,
6,
1144,
834,
5540,
584,
4280,
28027,
6,
2074,
834,
77,
834,
17030,
7,
584,
4280,
28027,
61,
3,
32105,
32106... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
498,
834,
5848,
834,
7318,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
1144,
834,
5540,
3274,
96,
75,
776,
524,
20237,
121,
3430,
2074,
834,
77,
834,
17030,
7,
3,
2,
5477,
519,
1,
-100,
-100,... |
Weighing less than 85, with less than 340 Spikes, what is Gilberto Godoy Filho's Height | SELECT COUNT(height) FROM table_name_22 WHERE spike < 340 AND name = "gilberto godoy filho" AND weight < 85 | CREATE TABLE table_name_22 (height VARCHAR, weight VARCHAR, spike VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
88,
2632,
584,
4280,
28027,
6,
1293,
584,
4280,
28027,
6,
22440,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
101,
9031... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
88,
2632,
61,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
22440,
3,
2,
3,
21129,
3430,
564,
3274,
96,
122,
173,
7041,
32,
8581,
32,
63,
5375,
107,
32,
121,
3430,
1293,
3,
2,
11989,
1,
-1... |
What is the Attendance for Opponent Boston Patriots and Week is greater than 14? | SELECT COUNT(attendance) FROM table_name_1 WHERE opponent = "boston patriots" AND week > 14 | CREATE TABLE table_name_1 (attendance VARCHAR, opponent VARCHAR, week VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
15116,
663,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
22497,
663,
21,
4495,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
536,
549,
17444,
427,
15264,
3274,
96,
115,
32,
4411,
6234,
12884,
7,
121,
3430,
471,
2490,
968,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Nominated work has a Year of 1997? | SELECT nominated_work FROM table_name_96 WHERE year = 1997 | CREATE TABLE table_name_96 (nominated_work VARCHAR, year VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
3114,
77,
920,
834,
1981,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
465,
1109,
920,
161,
65,
3,
9,
2929,
13,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
150,
1109,
920,
834,
1981,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
215,
3274,
6622,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Award has a Category of music video acting award? | SELECT award FROM table_name_40 WHERE category = "music video acting award" | CREATE TABLE table_name_40 (award VARCHAR, category VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2445,
41,
9,
2239,
584,
4280,
28027,
6,
3295,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
3677,
65,
3,
9,
17459,
13,
723,
671,
6922,
2760,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2760,
21680,
953,
834,
4350,
834,
2445,
549,
17444,
427,
3295,
3274,
96,
22170,
671,
6922,
2760,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When the league is 84 (4) what is the Canadian Championship? | SELECT canadian_championship FROM table_name_87 WHERE league = "84 (4)" | CREATE TABLE table_name_87 (canadian_championship VARCHAR, league VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4225,
41,
1608,
9,
8603,
834,
17788,
12364,
2009,
584,
4280,
28027,
6,
5533,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
8,
5533,
19,
3,
4608,
3,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
54,
9,
8603,
834,
17788,
12364,
2009,
21680,
953,
834,
4350,
834,
4225,
549,
17444,
427,
5533,
3274,
96,
4608,
3,
10820,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What Canadian Championship has 84 (4) as the league? | SELECT canadian_championship FROM table_name_85 WHERE league = "84 (4)" | CREATE TABLE table_name_85 (canadian_championship VARCHAR, league VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
1608,
9,
8603,
834,
17788,
12364,
2009,
584,
4280,
28027,
6,
5533,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
4151,
7666,
65,
3,
4608,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
54,
9,
8603,
834,
17788,
12364,
2009,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
5533,
3274,
96,
4608,
3,
10820,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What Canadian Championship has Ashtone Morgan Category:Articles with hcards as the name? | SELECT canadian_championship FROM table_name_45 WHERE name = "ashtone morgan category:articles with hcards" | CREATE TABLE table_name_45 (canadian_championship VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
1608,
9,
8603,
834,
17788,
12364,
2009,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
4151,
7666,
65,
7153,
6948,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
54,
9,
8603,
834,
17788,
12364,
2009,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
564,
3274,
96,
3198,
6948,
3,
51,
11127,
3295,
10,
8372,
7,
28,
3,
107,
6043,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the total when the name is Carl Robinson Category:Articles with hcards? | SELECT total FROM table_name_15 WHERE name = "carl robinson category:articles with hcards" | CREATE TABLE table_name_15 (total VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
235,
1947,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
792,
116,
8,
564,
19,
7291,
17461,
17459,
10,
775... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
792,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
564,
3274,
96,
1720,
40,
3,
5840,
77,
739,
3295,
10,
8372,
7,
28,
3,
107,
6043,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is Name, when Games are less than 38, when Rank is less than 4, and when Points are 357? | SELECT name FROM table_name_11 WHERE games < 38 AND rank < 4 AND points = 357 | CREATE TABLE table_name_11 (name VARCHAR, points VARCHAR, games VARCHAR, rank VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2596,
41,
4350,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
6,
1031,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
5570... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
2596,
549,
17444,
427,
1031,
3,
2,
6654,
3430,
11003,
3,
2,
314,
3430,
979,
3274,
220,
3436,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is Team, when Rank is greater than 2, and when Points are greater than 259? | SELECT team FROM table_name_12 WHERE rank > 2 AND points > 259 | CREATE TABLE table_name_12 (team VARCHAR, rank VARCHAR, points VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
11650,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
2271,
6,
116,
3,
22557,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
372,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
11003,
2490,
204,
3430,
979,
2490,
204,
3390,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What are the Highest Games, when Team is Ciudad De La Laguna, and when Points are greater than 357? | SELECT MAX(games) FROM table_name_75 WHERE team = "ciudad de la laguna" AND points > 357 | CREATE TABLE table_name_75 (games INTEGER, team VARCHAR, points VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
7261,
7,
3,
21342,
17966,
6,
372,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
33,
8,
1592,
222,
5880,
6,
116,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
4800,
4,
599,
7261,
7,
61,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
372,
3274,
96,
8469,
14677,
20,
50,
50,
8765,
9,
121,
3430,
979,
2490,
220,
3436,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is Points, when Name is Ondrej Starosta? | SELECT points FROM table_name_81 WHERE name = "ondrej starosta" | CREATE TABLE table_name_81 (points VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
2700,
7,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
4564,
7,
6,
116,
5570,
19,
461,
26,
60,
354,
2042,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
979,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
564,
3274,
96,
106,
26,
60,
354,
2213,
3481,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the lowest value for Points, when Games is greater than 34, and when Name is Andrew Panko? | SELECT MIN(points) FROM table_name_98 WHERE games > 34 AND name = "andrew panko" | CREATE TABLE table_name_98 (points INTEGER, games VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
2700,
7,
3,
21342,
17966,
6,
1031,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
7402,
701,
21,
4564,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
1031,
2490,
6154,
3430,
564,
3274,
96,
232,
60,
210,
2131,
157,
32,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the highest value for Points, when Games is 21, and when Rank is greater than 2? | SELECT MAX(points) FROM table_name_52 WHERE games = 21 AND rank > 2 | CREATE TABLE table_name_52 (points INTEGER, games VARCHAR, rank VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
2700,
7,
3,
21342,
17966,
6,
1031,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2030,
701,
21,
4564,
7,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
1031,
3274,
1401,
3430,
11003,
2490,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the average rank of the record on 2007-06-21 with a mark less than 91.29? | SELECT AVG(rank) FROM table_name_31 WHERE date = "2007-06-21" AND mark < 91.29 | CREATE TABLE table_name_31 (rank INTEGER, date VARCHAR, mark VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
6254,
3,
21342,
17966,
6,
833,
584,
4280,
28027,
6,
3946,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1348,
11003,
13,
8,
1368,
30... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
6254,
61,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
833,
3274,
96,
20615,
18,
5176,
16539,
121,
3430,
3946,
3,
2,
3,
4729,
5,
3166,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the lowest mark of the rank 8 record? | SELECT MIN(mark) FROM table_name_34 WHERE rank = 8 | CREATE TABLE table_name_34 (mark INTEGER, rank VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3710,
41,
3920,
3,
21342,
17966,
6,
11003,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
7402,
3946,
13,
8,
11003,
505,
1368,
58,
1,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
3920,
61,
21680,
953,
834,
4350,
834,
3710,
549,
17444,
427,
11003,
3274,
505,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the place of the record on 1996-05-25 with a mark greater than 90.73? | SELECT place FROM table_name_38 WHERE mark > 90.73 AND date = "1996-05-25" | CREATE TABLE table_name_38 (place VARCHAR, mark VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3747,
41,
4687,
584,
4280,
28027,
6,
3946,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
286,
13,
8,
1368,
30,
6911,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
286,
21680,
953,
834,
4350,
834,
3747,
549,
17444,
427,
3946,
2490,
2777,
5,
4552,
3430,
833,
3274,
96,
19479,
28625,
24279,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the place of the rank 6 record, which has a mark greater than 91.29? | SELECT place FROM table_name_16 WHERE mark > 91.29 AND rank = 6 | CREATE TABLE table_name_16 (place VARCHAR, mark VARCHAR, rank VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2938,
41,
4687,
584,
4280,
28027,
6,
3946,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
286,
13,
8,
11003,
431,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
286,
21680,
953,
834,
4350,
834,
2938,
549,
17444,
427,
3946,
2490,
3,
4729,
5,
3166,
3430,
11003,
3274,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What competition has a venue in Hampden Park, Glasgow? | SELECT competition FROM table_name_55 WHERE venue = "hampden park, glasgow" | CREATE TABLE table_name_55 (competition VARCHAR, venue VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3769,
41,
287,
4995,
4749,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
2259,
65,
3,
9,
5669,
16,
5845,
102,
537,
1061,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2259,
21680,
953,
834,
4350,
834,
3769,
549,
17444,
427,
5669,
3274,
96,
1483,
102,
537,
2447,
6,
3,
16985,
839,
210,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the score in Hampden Park, Glasgow? | SELECT score FROM table_name_68 WHERE venue = "hampden park, glasgow" | CREATE TABLE table_name_68 (score VARCHAR, venue VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
7,
9022,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
2604,
16,
5845,
102,
537,
1061,
6,
18588,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
5669,
3274,
96,
1483,
102,
537,
2447,
6,
3,
16985,
839,
210,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Venue has a Notes of 2:28:31? | SELECT venue FROM table_name_83 WHERE notes = "2:28:31" | CREATE TABLE table_name_83 (venue VARCHAR, notes VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
15098,
584,
4280,
28027,
6,
3358,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
29940,
65,
3,
9,
2507,
7,
13,
204,
10,
2577,
10,
3341,
58,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
3358,
3274,
96,
357,
10,
2577,
10,
3341,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Venue has a Competition of venice marathon? | SELECT venue FROM table_name_98 WHERE competition = "venice marathon" | CREATE TABLE table_name_98 (venue VARCHAR, competition VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
15098,
584,
4280,
28027,
6,
2259,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
29940,
65,
3,
9,
15571,
13,
3,
1926,
867,
17625,
58,
1,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
2259,
3274,
96,
1926,
867,
17625,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Year that has Notes of dnf? | SELECT MIN(year) FROM table_name_17 WHERE notes = "dnf" | CREATE TABLE table_name_17 (year INTEGER, notes VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2517,
41,
1201,
3,
21342,
17966,
6,
3358,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
2929,
24,
65,
2507,
7,
13,
3,
26,
29,
89,
58,
1,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
1201,
61,
21680,
953,
834,
4350,
834,
2517,
549,
17444,
427,
3358,
3274,
96,
26,
29,
89,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Competition has a Year larger than 2000? | SELECT competition FROM table_name_45 WHERE year > 2000 | CREATE TABLE table_name_45 (competition VARCHAR, year INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
287,
4995,
4749,
584,
4280,
28027,
6,
215,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
4073,
15571,
65,
3,
9,
2929,
2186,
145,
2766,
58,
1,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2259,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
215,
2490,
2766,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What date has a set 4 of 25-19? | SELECT date FROM table_name_33 WHERE set_4 = "25-19" | CREATE TABLE table_name_33 (date VARCHAR, set_4 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
5522,
584,
4280,
28027,
6,
356,
834,
591,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
833,
65,
3,
9,
356,
314,
13,
944,
4481,
58,
1,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
356,
834,
591,
3274,
96,
1828,
4481,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the total for the set 2 of 25-18? | SELECT total FROM table_name_80 WHERE set_2 = "25-18" | CREATE TABLE table_name_80 (total VARCHAR, set_2 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
235,
1947,
584,
4280,
28027,
6,
356,
834,
357,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
792,
21,
8,
356,
204,
13,
944,
6996,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
792,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
356,
834,
357,
3274,
96,
1828,
6996,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the total for set 2 of 25-19? | SELECT total FROM table_name_55 WHERE set_2 = "25-19" | CREATE TABLE table_name_55 (total VARCHAR, set_2 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3769,
41,
235,
1947,
584,
4280,
28027,
6,
356,
834,
357,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
792,
21,
356,
204,
13,
944,
4481,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
792,
21680,
953,
834,
4350,
834,
3769,
549,
17444,
427,
356,
834,
357,
3274,
96,
1828,
4481,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is set 3 when set 5 is na, set 1 is 21-25, and set 2 is 25-16? | SELECT set_3 FROM table_name_54 WHERE set_5 = "na" AND set_1 = "21-25" AND set_2 = "25-16" | CREATE TABLE table_name_54 (set_3 VARCHAR, set_2 VARCHAR, set_5 VARCHAR, set_1 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5062,
41,
2244,
834,
519,
584,
4280,
28027,
6,
356,
834,
357,
584,
4280,
28027,
6,
356,
834,
755,
584,
4280,
28027,
6,
356,
834,
536,
584,
4280,
28027,
61,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
356,
834,
519,
21680,
953,
834,
4350,
834,
5062,
549,
17444,
427,
356,
834,
755,
3274,
96,
29,
9,
121,
3430,
356,
834,
536,
3274,
96,
2658,
14855,
121,
3430,
356,
834,
357,
3274,
96,
1828,
10892,
121,
1,
-100,
-10... |
What is the set 1 for the date jun 26, and a set 2 of 25-16? | SELECT set_1 FROM table_name_90 WHERE date = "jun 26" AND set_2 = "25-16" | CREATE TABLE table_name_90 (set_1 VARCHAR, date VARCHAR, set_2 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
2244,
834,
536,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
6,
356,
834,
357,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
356,
209... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
356,
834,
536,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
833,
3274,
96,
6959,
2208,
121,
3430,
356,
834,
357,
3274,
96,
1828,
10892,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total for set 2 17-25? | SELECT total FROM table_name_80 WHERE set_2 = "17-25" | CREATE TABLE table_name_80 (total VARCHAR, set_2 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
235,
1947,
584,
4280,
28027,
6,
356,
834,
357,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
792,
21,
356,
204,
1003,
14855,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
792,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
356,
834,
357,
3274,
96,
2517,
14855,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What Opponent has a Score that is 1-6, 3-6? | SELECT opponent FROM table_name_57 WHERE score = "1-6, 3-6" | CREATE TABLE table_name_57 (opponent VARCHAR, score VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
32,
102,
9977,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
4495,
9977,
65,
3,
9,
17763,
24,
19,
3,
27019,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
2604,
3274,
96,
27019,
6,
3,
25342,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What writer has mort drucker as the artist, an issue greater than 470, and law & order: svu as an actual title? | SELECT writer FROM table_name_9 WHERE artist = "mort drucker" AND issue > 470 AND actual_title = "law & order: svu" | CREATE TABLE table_name_9 (writer VARCHAR, actual_title VARCHAR, artist VARCHAR, issue VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
12756,
584,
4280,
28027,
6,
1805,
834,
21869,
584,
4280,
28027,
6,
2377,
584,
4280,
28027,
6,
962,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4346,
21680,
953,
834,
4350,
834,
1298,
549,
17444,
427,
2377,
3274,
96,
2528,
17,
3,
7355,
49,
121,
3430,
962,
2490,
3,
27760,
3430,
1805,
834,
21869,
3274,
96,
4207,
3,
184,
455,
10,
3,
7,
208,
76,
121,
1,
-10... |
What date has ed as an actual title? | SELECT date FROM table_name_93 WHERE actual_title = "ed" | CREATE TABLE table_name_93 (date VARCHAR, actual_title VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
5522,
584,
4280,
28027,
6,
1805,
834,
21869,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
833,
65,
3,
15,
26,
38,
46,
1805,
2233,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
1805,
834,
21869,
3274,
96,
15,
26,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What isssue has 7th heaven as an actual title? | SELECT issue FROM table_name_51 WHERE actual_title = "7th heaven" | CREATE TABLE table_name_51 (issue VARCHAR, actual_title VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5553,
41,
13159,
584,
4280,
28027,
6,
1805,
834,
21869,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
7,
7,
76,
15,
65,
489,
189,
9922,
38,
46,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
962,
21680,
953,
834,
4350,
834,
5553,
549,
17444,
427,
1805,
834,
21869,
3274,
96,
940,
189,
9922,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What issue has mort drucker as the artist and february 2001 as the date? | SELECT issue FROM table_name_20 WHERE artist = "mort drucker" AND date = "february 2001" | CREATE TABLE table_name_20 (issue VARCHAR, artist VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
13159,
584,
4280,
28027,
6,
2377,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
962,
65,
7971,
3,
7355,
49,
38,
8... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
962,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
2377,
3274,
96,
2528,
17,
3,
7355,
49,
121,
3430,
833,
3274,
96,
89,
15,
9052,
1208,
4402,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
In what Week was the Attendance 39,434? | SELECT COUNT(week) FROM table_name_78 WHERE attendance < 39 OFFSET 434 | CREATE TABLE table_name_78 (week VARCHAR, attendance INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
8041,
584,
4280,
28027,
6,
11364,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
86,
125,
6551,
47,
8,
22497,
663,
6352,
6,
591,
3710,
58,
1,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
8041,
61,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
11364,
3,
2,
6352,
3,
15316,
20788,
314,
3710,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What year was the match were xavier malisse was the runner-up against lleyton hewitt? | SELECT year FROM table_name_3 WHERE outcome = "runner-up" AND opponent = "lleyton hewitt" | CREATE TABLE table_name_3 (year VARCHAR, outcome VARCHAR, opponent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
519,
41,
1201,
584,
4280,
28027,
6,
6138,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
215,
47,
8,
1588,
130,
3,
226,
9,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
215,
21680,
953,
834,
4350,
834,
519,
549,
17444,
427,
6138,
3274,
96,
10806,
18,
413,
121,
3430,
15264,
3274,
96,
195,
15,
21220,
3,
88,
7820,
17,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What year was the match against filippo volandri where xavier malisse was runner-up? | SELECT year FROM table_name_39 WHERE outcome = "runner-up" AND opponent = "filippo volandri" | CREATE TABLE table_name_39 (year VARCHAR, outcome VARCHAR, opponent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
1201,
584,
4280,
28027,
6,
6138,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
215,
47,
8,
1588,
581,
5375,
23640... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
215,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
6138,
3274,
96,
10806,
18,
413,
121,
3430,
15264,
3274,
96,
8027,
23640,
5063,
232,
52,
23,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many against have a difference of 6, with a played greater than 19? | SELECT SUM(against) FROM table_name_57 WHERE difference = "6" AND played > 19 | CREATE TABLE table_name_57 (against INTEGER, difference VARCHAR, played VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
9,
16720,
7,
17,
3,
21342,
17966,
6,
1750,
584,
4280,
28027,
6,
1944,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
186,
581,
43,
3,
9,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
9,
16720,
7,
17,
61,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
1750,
3274,
96,
948,
121,
3430,
1944,
2490,
957,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the lowest drawn that has a played greater than 19, with a position less than 2? | SELECT MIN(drawn) FROM table_name_52 WHERE played > 19 AND position < 2 | CREATE TABLE table_name_52 (drawn INTEGER, played VARCHAR, position VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
19489,
29,
3,
21342,
17966,
6,
1944,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
7402,
6796,
24,
65,
3,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
19489,
29,
61,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
1944,
2490,
957,
3430,
1102,
3,
2,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the average against that has a drawn less than 7, points greater than 22, and 19 for the played? | SELECT AVG(against) FROM table_name_66 WHERE drawn < 7 AND points > 22 AND played = 19 | CREATE TABLE table_name_66 (against INTEGER, played VARCHAR, drawn VARCHAR, points VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
9,
16720,
7,
17,
3,
21342,
17966,
6,
1944,
584,
4280,
28027,
6,
6796,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
36... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
9,
16720,
7,
17,
61,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
6796,
3,
2,
489,
3430,
979,
2490,
1630,
3430,
1944,
3274,
957,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When has a TV Time of fox 12:00 pm cdt? | SELECT date FROM table_name_75 WHERE tv_time = "fox 12:00 pm cdt" | CREATE TABLE table_name_75 (date VARCHAR, tv_time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
5522,
584,
4280,
28027,
6,
3,
17,
208,
834,
715,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
65,
3,
9,
1424,
2900,
13,
3,
20400,
25095,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
3,
17,
208,
834,
715,
3274,
96,
20400,
25095,
6366,
3,
75,
26,
17,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When has a Week of 8? | SELECT date FROM table_name_73 WHERE week = 8 | CREATE TABLE table_name_73 (date VARCHAR, week VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
5522,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
65,
3,
9,
6551,
13,
505,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
471,
3274,
505,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Week has a Result of l 13-16 and an Opponent of at buffalo bills? | SELECT AVG(week) FROM table_name_27 WHERE result = "l 13-16" AND opponent = "at buffalo bills" | CREATE TABLE table_name_27 (week INTEGER, result VARCHAR, opponent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2555,
41,
8041,
3,
21342,
17966,
6,
741,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
6551,
65,
3,
9,
3,
20119,
13,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
8041,
61,
21680,
953,
834,
4350,
834,
2555,
549,
17444,
427,
741,
3274,
96,
40,
1179,
10892,
121,
3430,
15264,
3274,
96,
144,
30964,
7200,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What kind of TV Time that has a Result of w 24–10? | SELECT tv_time FROM table_name_72 WHERE result = "w 24–10" | CREATE TABLE table_name_72 (tv_time VARCHAR, result VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
17,
208,
834,
715,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
773,
13,
1424,
2900,
24,
65,
3,
9,
3,
20119,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17,
208,
834,
715,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
741,
3274,
96,
210,
997,
104,
1714,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the name of the conference that K. C. Jones was a head coach in? | SELECT conf FROM table_name_78 WHERE head_coach = "k. c. jones" | CREATE TABLE table_name_78 (conf VARCHAR, head_coach VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
9707,
584,
4280,
28027,
6,
819,
834,
509,
1836,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
564,
13,
8,
2542,
24,
480,
5,
205,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
9707,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
819,
834,
509,
1836,
3274,
96,
157,
5,
3,
75,
5,
3,
1927,
1496,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who had the highest assists of the game on March 5? | SELECT high_assists FROM table_name_50 WHERE date = "march 5" | CREATE TABLE table_name_50 (high_assists VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
6739,
834,
6500,
7,
17,
7,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
141,
8,
2030,
13041,
13,
8,
467,
30,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
306,
834,
6500,
7,
17,
7,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
833,
3274,
96,
51,
7064,
3,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the least amount of appearances by new zealand when they scored 4 goals? | SELECT MIN(appearances) FROM table_name_85 WHERE goals = 4 AND nationality = "new zealand" | CREATE TABLE table_name_85 (appearances INTEGER, goals VARCHAR, nationality VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
3096,
2741,
663,
7,
3,
21342,
17966,
6,
1766,
584,
4280,
28027,
6,
1157,
485,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
709,
866... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
3096,
2741,
663,
7,
61,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
1766,
3274,
314,
3430,
1157,
485,
3274,
96,
5534,
3,
776,
138,
232,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many appearances did batram suri category:articles with hcards have scoring less than 2 goals? | SELECT COUNT(appearances) FROM table_name_41 WHERE name = "batram suri category:articles with hcards" AND goals < 2 | CREATE TABLE table_name_41 (appearances VARCHAR, name VARCHAR, goals VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4853,
41,
3096,
2741,
663,
7,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
6,
1766,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
149,
186,
3179,
7,
410,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
2847,
17161,
599,
3096,
2741,
663,
7,
61,
21680,
953,
834,
4350,
834,
4853,
549,
17444,
427,
564,
3274,
96,
3697,
2375,
244,
23,
3295,
10,
8372,
7,
28,
3,
107,
6043,
7,
121,
3430,
1766,
3,
2,
204,
1,
-100,
-100,... |
What province has a v valparaíso region and an area of 927.2? | SELECT province FROM table_name_31 WHERE region = "v valparaíso" AND area = 927.2 | CREATE TABLE table_name_31 (province VARCHAR, region VARCHAR, area VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
1409,
2494,
565,
584,
4280,
28027,
6,
1719,
584,
4280,
28027,
6,
616,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
7985,
65,
3,
9,
3,
208,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
7985,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
1719,
3274,
96,
208,
3,
2165,
6583,
2,
7,
32,
121,
3430,
616,
3274,
3,
4508,
25791,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the average area with valparaíso as the capital? | SELECT AVG(area) FROM table_name_34 WHERE capital = "valparaíso" | CREATE TABLE table_name_34 (area INTEGER, capital VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3710,
41,
498,
3,
21342,
17966,
6,
1784,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1348,
616,
28,
3,
2165,
6583,
2,
7,
32,
38,
8,
1784,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
498,
61,
21680,
953,
834,
4350,
834,
3710,
549,
17444,
427,
1784,
3274,
96,
2165,
6583,
2,
7,
32,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
WHich Category in White has a Amerindian of 4,87%? | SELECT white FROM table_name_96 WHERE amerindian = "4,87%" | CREATE TABLE table_name_96 (white VARCHAR, amerindian VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
13698,
584,
4280,
28027,
6,
183,
6655,
8603,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
15313,
362,
17459,
16,
1945,
65,
3,
9,
736,
6655,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
872,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
183,
6655,
8603,
3274,
96,
8525,
927,
6170,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
WHich Category in White has a Black of 38,05%? | SELECT white FROM table_name_35 WHERE black = "38,05%" | CREATE TABLE table_name_35 (white VARCHAR, black VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2469,
41,
13698,
584,
4280,
28027,
6,
1001,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
15313,
362,
17459,
16,
1945,
65,
3,
9,
1589,
13,
6654,
6,
632... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
872,
21680,
953,
834,
4350,
834,
2469,
549,
17444,
427,
1001,
3274,
96,
3747,
6,
632,
2712,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Category in Brown has a Frequency of 0.08%? | SELECT brown FROM table_name_84 WHERE frequency = "0.08%" | CREATE TABLE table_name_84 (brown VARCHAR, frequency VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4608,
41,
14853,
29,
584,
4280,
28027,
6,
7321,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
17459,
16,
3899,
65,
3,
9,
5532,
835,
11298,
13,
3,
11... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4216,
21680,
953,
834,
4350,
834,
4608,
549,
17444,
427,
7321,
3274,
96,
11739,
5953,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which Category in Black has a Brown of 6,54%? | SELECT black FROM table_name_61 WHERE brown = "6,54%" | CREATE TABLE table_name_61 (black VARCHAR, brown VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
19699,
584,
4280,
28027,
6,
4216,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
17459,
16,
1589,
65,
3,
9,
3899,
13,
8580,
755,
5988,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1001,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
4216,
3274,
96,
11071,
755,
5988,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Capacity in use with an Annual change that is 21.8%? | SELECT capacity_in_use FROM table_name_31 WHERE annual_change = "21.8%" | CREATE TABLE table_name_31 (capacity_in_use VARCHAR, annual_change VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
4010,
9,
6726,
834,
77,
834,
1074,
584,
4280,
28027,
6,
2041,
834,
13073,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
4000,
9,
672... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2614,
834,
77,
834,
1074,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
2041,
834,
13073,
3274,
96,
2658,
5,
5953,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
How many Tries has Points for smaller than 137, and Tries against larger than 12? | SELECT COUNT(tries_for) FROM table_name_81 WHERE points_for < 137 AND tries_against > 12 | CREATE TABLE table_name_81 (tries_for VARCHAR, points_for VARCHAR, tries_against VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
9000,
834,
1161,
584,
4280,
28027,
6,
979,
834,
1161,
584,
4280,
28027,
6,
3,
9000,
834,
9,
16720,
7,
17,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
9000,
834,
1161,
61,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
979,
834,
1161,
3,
2,
3,
24636,
3430,
3,
9000,
834,
9,
16720,
7,
17,
2490,
586,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
WHich Team that has Points against of 43? | SELECT team FROM table_name_17 WHERE points_against = 43 | CREATE TABLE table_name_17 (team VARCHAR, points_against VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2517,
41,
11650,
584,
4280,
28027,
6,
979,
834,
9,
16720,
7,
17,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
15313,
362,
2271,
24,
65,
4564,
7,
581,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
372,
21680,
953,
834,
4350,
834,
2517,
549,
17444,
427,
979,
834,
9,
16720,
7,
17,
3274,
8838,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
WHich Tries has a Team of pau and Points against larger than 103? | SELECT MIN(tries_for) FROM table_name_48 WHERE team = "pau" AND points_against > 103 | CREATE TABLE table_name_48 (tries_for INTEGER, team VARCHAR, points_against VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3707,
41,
9000,
834,
1161,
3,
21342,
17966,
6,
372,
584,
4280,
28027,
6,
979,
834,
9,
16720,
7,
17,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
15313... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
3,
17684,
599,
9000,
834,
1161,
61,
21680,
953,
834,
4350,
834,
3707,
549,
17444,
427,
372,
3274,
96,
102,
402,
121,
3430,
979,
834,
9,
16720,
7,
17,
2490,
3,
17864,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
How many Points against has Tries for smaller than 14, and a Team of llanelli? | SELECT AVG(points_against) FROM table_name_13 WHERE tries_for < 14 AND team = "llanelli" | CREATE TABLE table_name_13 (points_against INTEGER, tries_for VARCHAR, team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2368,
41,
2700,
7,
834,
9,
16720,
7,
17,
3,
21342,
17966,
6,
3,
9000,
834,
1161,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
2700,
7,
834,
9,
16720,
7,
17,
61,
21680,
953,
834,
4350,
834,
2368,
549,
17444,
427,
3,
9000,
834,
1161,
3,
2,
968,
3430,
372,
3274,
96,
195,
152,
7999,
121,
1,
-100,
-100,
-100,
-100,
-100,
-10... |
How many Tries against has a Try diff of –17 and Points for smaller than 80? | SELECT COUNT(tries_against) FROM table_name_30 WHERE try_diff = "–17" AND points_for < 80 | CREATE TABLE table_name_30 (tries_against VARCHAR, try_diff VARCHAR, points_for VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1458,
41,
9000,
834,
9,
16720,
7,
17,
584,
4280,
28027,
6,
653,
834,
26,
5982,
584,
4280,
28027,
6,
979,
834,
1161,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
9000,
834,
9,
16720,
7,
17,
61,
21680,
953,
834,
4350,
834,
1458,
549,
17444,
427,
653,
834,
26,
5982,
3274,
96,
104,
2517,
121,
3430,
979,
834,
1161,
3,
2,
2775,
1,
-100,
-100,
-100,
-100,
-100,... |
Which player was the forward? | SELECT player FROM table_name_7 WHERE position = "forward" | CREATE TABLE table_name_7 (player VARCHAR, position VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
940,
41,
20846,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
1959,
47,
8,
1039,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
940,
549,
17444,
427,
1102,
3274,
96,
26338,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which years in Orlando are featured with the center position? | SELECT years_in_orlando FROM table_name_11 WHERE position = "center" | CREATE TABLE table_name_11 (years_in_orlando VARCHAR, position VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2596,
41,
1201,
7,
834,
77,
834,
32,
7721,
32,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
203,
16,
14374,
33,
4510,
28... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
203,
834,
77,
834,
32,
7721,
32,
21680,
953,
834,
4350,
834,
2596,
549,
17444,
427,
1102,
3274,
96,
13866,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which position was in Orlando in 2000? | SELECT position FROM table_name_15 WHERE years_in_orlando = "2000" | CREATE TABLE table_name_15 (position VARCHAR, years_in_orlando VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
4718,
584,
4280,
28027,
6,
203,
834,
77,
834,
32,
7721,
32,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
1102,
47,
16,
14374,
16,
2766,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1102,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
203,
834,
77,
834,
32,
7721,
32,
3274,
96,
13527,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Name with Goals that are 135? | SELECT name FROM table_name_61 WHERE goals = 135 | CREATE TABLE table_name_61 (name VARCHAR, goals VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
4350,
584,
4280,
28027,
6,
1766,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
5570,
28,
17916,
7,
24,
33,
209,
2469,
58,
1,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
1766,
3274,
209,
2469,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which American Labor candidate ran against Democratic candidate Robert F. Wagner? | SELECT american_labor_ticket FROM table_name_51 WHERE democratic_ticket = "robert f. wagner" | CREATE TABLE table_name_51 (american_labor_ticket VARCHAR, democratic_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5553,
41,
23064,
29,
834,
9456,
834,
26639,
584,
4280,
28027,
6,
15053,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
797,
9836,
4775,
4037,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
10211,
834,
9456,
834,
26639,
21680,
953,
834,
4350,
834,
5553,
549,
17444,
427,
15053,
834,
26639,
3274,
96,
5840,
49,
17,
3,
89,
5,
3,
15238,
687,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which Socialist candidate ran against American Labor candidate Caroline O'Day? | SELECT socialist_ticket FROM table_name_65 WHERE american_labor_ticket = "caroline o'day" | CREATE TABLE table_name_65 (socialist_ticket VARCHAR, american_labor_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
15745,
343,
834,
26639,
584,
4280,
28027,
6,
10211,
834,
9456,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
2730,
343,
4775,
4037... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
23737,
834,
26639,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
10211,
834,
9456,
834,
26639,
3274,
96,
1720,
32,
747,
3,
32,
31,
1135,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Democrtic candidate ran against the Socialist candidate Edna Mitchell Blue? | SELECT democratic_ticket FROM table_name_71 WHERE socialist_ticket = "edna mitchell blue" | CREATE TABLE table_name_71 (democratic_ticket VARCHAR, socialist_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4450,
41,
23319,
447,
834,
26639,
584,
4280,
28027,
6,
23737,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
15782,
75,
52,
1225,
4775,
4037,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15053,
834,
26639,
21680,
953,
834,
4350,
834,
4450,
549,
17444,
427,
23737,
834,
26639,
3274,
96,
15,
26,
29,
9,
181,
1033,
195,
1692,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which American Labor candidate is running against the Socialist candidate Herman J. Hahn? | SELECT american_labor_ticket FROM table_name_55 WHERE socialist_ticket = "herman j. hahn" | CREATE TABLE table_name_55 (american_labor_ticket VARCHAR, socialist_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3769,
41,
23064,
29,
834,
9456,
834,
26639,
584,
4280,
28027,
6,
23737,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
797,
9836,
4775,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
10211,
834,
9456,
834,
26639,
21680,
953,
834,
4350,
834,
3769,
549,
17444,
427,
23737,
834,
26639,
3274,
96,
760,
348,
3,
354,
5,
4244,
107,
29,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Republican ran against the American Labor candidate Matthew J. Merritt? | SELECT republican_ticket FROM table_name_5 WHERE american_labor_ticket = "matthew j. merritt" | CREATE TABLE table_name_5 (republican_ticket VARCHAR, american_labor_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
755,
41,
60,
15727,
152,
834,
26639,
584,
4280,
28027,
6,
10211,
834,
9456,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
8994,
4037,
581,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
20237,
152,
834,
26639,
21680,
953,
834,
4350,
834,
755,
549,
17444,
427,
10211,
834,
9456,
834,
26639,
3274,
96,
3357,
532,
210,
3,
354,
5,
3,
935,
18208,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which American Labor candidate ran against Republican Thomas E. Dewey? | SELECT american_labor_ticket FROM table_name_91 WHERE republican_ticket = "thomas e. dewey" | CREATE TABLE table_name_91 (american_labor_ticket VARCHAR, republican_ticket VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4729,
41,
23064,
29,
834,
9456,
834,
26639,
584,
4280,
28027,
6,
20237,
152,
834,
26639,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
797,
9836,
4775,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
10211,
834,
9456,
834,
26639,
21680,
953,
834,
4350,
834,
4729,
549,
17444,
427,
20237,
152,
834,
26639,
3274,
96,
189,
32,
2754,
3,
15,
5,
20,
1123,
63,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who is the Opponent in the final after 1983 with an Outcome of runner-up? | SELECT opponent_in_the_final FROM table_name_48 WHERE outcome = "runner-up" AND date > 1983 | CREATE TABLE table_name_48 (opponent_in_the_final VARCHAR, outcome VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3707,
41,
32,
102,
9977,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
6,
6138,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
15264,
834,
77,
834,
532,
834,
12406,
21680,
953,
834,
4350,
834,
3707,
549,
17444,
427,
6138,
3274,
96,
10806,
18,
413,
121,
3430,
833,
2490,
15041,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What Opponent in the final had a match with a Score in the final of 7–5, 6–2? | SELECT opponent_in_the_final FROM table_name_31 WHERE score_in_the_final = "7–5, 6–2" | CREATE TABLE table_name_31 (opponent_in_the_final VARCHAR, score_in_the_final VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
32,
102,
9977,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
6,
2604,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
15264,
834,
77,
834,
532,
834,
12406,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
2604,
834,
77,
834,
532,
834,
12406,
3274,
96,
940,
104,
11116,
431,
104,
357,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the Championship with Vitas Gerulaitis as Opponent in the final in a match on Clay Surface? | SELECT championship FROM table_name_3 WHERE surface = "clay" AND opponent_in_the_final = "vitas gerulaitis" | CREATE TABLE table_name_3 (championship VARCHAR, surface VARCHAR, opponent_in_the_final VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
519,
41,
17788,
12364,
2009,
584,
4280,
28027,
6,
1774,
584,
4280,
28027,
6,
15264,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
10183,
21680,
953,
834,
4350,
834,
519,
549,
17444,
427,
1774,
3274,
96,
4651,
63,
121,
3430,
15264,
834,
77,
834,
532,
834,
12406,
3274,
96,
12411,
7,
3,
1304,
83,
9,
155,
159,
121,
1,
-100,
-100,
-100,
-100,
-10... |
What is the smallest percentage of marine area for Pacific Marine ecozone and percentage of total area greater than 3.1? | SELECT MIN(percentage_of_marine_area__foreez_) FROM table_name_50 WHERE ecozone = "pacific marine" AND percentage_of_total_area__foreez_ > 3.1 | CREATE TABLE table_name_50 (percentage_of_marine_area__foreez_ INTEGER, ecozone VARCHAR, percentage_of_total_area__foreez_ VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
883,
3728,
545,
834,
858,
834,
12181,
15,
834,
498,
834,
834,
1161,
15,
457,
834,
3,
21342,
17966,
6,
9211,
9431,
584,
4280,
28027,
6,
5294,
834,
858,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
883,
3728,
545,
834,
858,
834,
12181,
15,
834,
498,
834,
834,
1161,
15,
457,
834,
61,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
9211,
9431,
3274,
96,
5379,
3286,
8769,
121,
3430,
5294,
834,
... |
How many values for percentage of marine area are for the Atlantic marine ecozone with an exclusive economic zone area less than 996,439? | SELECT COUNT(percentage_of_marine_area__foreez_) FROM table_name_78 WHERE ecozone = "atlantic marine" AND area__km²__exclusive_economic_zone < 996 OFFSET 439 | CREATE TABLE table_name_78 (percentage_of_marine_area__foreez_ VARCHAR, ecozone VARCHAR, area__km²__exclusive_economic_zone VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
883,
3728,
545,
834,
858,
834,
12181,
15,
834,
498,
834,
834,
1161,
15,
457,
834,
584,
4280,
28027,
6,
9211,
9431,
584,
4280,
28027,
6,
616,
834,
834,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
883,
3728,
545,
834,
858,
834,
12181,
15,
834,
498,
834,
834,
1161,
15,
457,
834,
61,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
9211,
9431,
3274,
96,
31767,
8769,
121,
3430,
616,
834,
834,... |
What is the team when alvin williams (6) has the high assists? | SELECT team FROM table_name_29 WHERE high_assists = "alvin williams (6)" | CREATE TABLE table_name_29 (team VARCHAR, high_assists VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
11650,
584,
4280,
28027,
6,
306,
834,
6500,
7,
17,
7,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
372,
116,
491,
2494,
56,
23,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
372,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
306,
834,
6500,
7,
17,
7,
3274,
96,
138,
2494,
56,
23,
265,
7,
3,
18669,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.