NATURAL_LANG stringlengths 12 244 | SQL stringlengths 18 336 | SCHEMA stringlengths 27 355 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Which winning team has Iowa city as the site, and december 3, 2006 as the date? | SELECT winning_team FROM table_name_42 WHERE site = "iowa city" AND date = "december 3, 2006" | CREATE TABLE table_name_42 (winning_team VARCHAR, site VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4165,
41,
8163,
834,
11650,
584,
4280,
28027,
6,
353,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
3447,
372,
65,
12034,
69... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3447,
834,
11650,
21680,
953,
834,
4350,
834,
4165,
549,
17444,
427,
353,
3274,
96,
23,
2381,
9,
690,
121,
3430,
833,
3274,
96,
221,
75,
18247,
6180,
3581,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What site has november 30, 2006 as the date? | SELECT site FROM table_name_25 WHERE date = "november 30, 2006" | CREATE TABLE table_name_25 (site VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1828,
41,
3585,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
353,
65,
3,
5326,
18247,
11558,
3581,
38,
8,
833,
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,
353,
21680,
953,
834,
4350,
834,
1828,
549,
17444,
427,
833,
3274,
96,
5326,
18247,
11558,
3581,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What winning team has volleyball as the sport? | SELECT winning_team FROM table_name_91 WHERE sport = "volleyball" | CREATE TABLE table_name_91 (winning_team VARCHAR, sport VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4729,
41,
8163,
834,
11650,
584,
4280,
28027,
6,
2600,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
3447,
372,
65,
26081,
38,
8,
2600,
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,
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,
3447,
834,
11650,
21680,
953,
834,
4350,
834,
4729,
549,
17444,
427,
2600,
3274,
96,
11921,
63,
3184,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total number in January when the St. Louis Blues had a game smaller than 42? | SELECT COUNT(january) FROM table_name_83 WHERE opponent = "st. louis blues" AND game < 42 | CREATE TABLE table_name_83 (january VARCHAR, opponent VARCHAR, game VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
7066,
76,
1208,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
792,
381,
16,
17... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
7066,
76,
1208,
61,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
15264,
3274,
96,
7,
17,
5,
16585,
159,
1692,
7,
121,
3430,
467,
3,
2,
6426,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the January sum with the record of 17-20-2 with a game smaller than 39? | SELECT SUM(january) FROM table_name_70 WHERE record = "17-20-2" AND game < 39 | CREATE TABLE table_name_70 (january INTEGER, record VARCHAR, game VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
7066,
76,
1208,
3,
21342,
17966,
6,
1368,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1762,
4505,
28,
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,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
7066,
76,
1208,
61,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
1368,
3274,
96,
2517,
7988,
4949,
121,
3430,
467,
3,
2,
6352,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the record when the New York Knicks played at the Boston Garden? | SELECT record FROM table_name_51 WHERE location = "boston garden" AND opponent = "new york knicks" | CREATE TABLE table_name_51 (record VARCHAR, location VARCHAR, opponent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5553,
41,
60,
7621,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
1368,
116,
8,
368,
10... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1368,
21680,
953,
834,
4350,
834,
5553,
549,
17444,
427,
1128,
3274,
96,
115,
32,
4411,
2004,
121,
3430,
15264,
3274,
96,
5534,
25453,
3,
157,
11191,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When the record was 7-2, what was the score for the game? | SELECT score FROM table_name_94 WHERE record = "7-2" | CREATE TABLE table_name_94 (score VARCHAR, record VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
7,
9022,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
8,
1368,
47,
489,
4949,
6,
125,
47,
8,
2604,
21,
8,
467... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
1368,
3274,
96,
940,
4949,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
On what date was the record 4-2? | SELECT date FROM table_name_66 WHERE record = "4-2" | CREATE TABLE table_name_66 (date VARCHAR, record VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
5522,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
461,
125,
833,
47,
8,
1368,
314,
4949,
58,
1,
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,
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... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
1368,
3274,
96,
591,
4949,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Females Rank is the highest one that has Females (%) larger than 53, and an HIV awareness (males%) smaller than 89, and a State of odisha? | SELECT MAX(females_rank) FROM table_name_2 WHERE females___percentage_ > 53 AND hiv_awareness__males_percentage_ < 89 AND state = "odisha" | CREATE TABLE table_name_2 (females_rank INTEGER, state VARCHAR, females___percentage_ VARCHAR, hiv_awareness__males_percentage_ VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
89,
15,
13513,
7,
834,
6254,
3,
21342,
17966,
6,
538,
584,
4280,
28027,
6,
3955,
7,
834,
834,
834,
883,
3728,
545,
834,
584,
4280,
28027,
6,
7102,
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,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
89,
15,
13513,
7,
834,
6254,
61,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
3955,
7,
834,
834,
834,
883,
3728,
545,
834,
2490,
12210,
3430,
7102,
208,
834,
9,
3404,
655,
834,
834,
13513,
7,
... |
How many Females (%) have Females Rank smaller than 21, and a State of kerala, and Males Rank larger than 1? | SELECT COUNT(females___percentage_) FROM table_name_1 WHERE females_rank < 21 AND state = "kerala" AND males_rank > 1 | CREATE TABLE table_name_1 (females___percentage_ VARCHAR, males_rank VARCHAR, females_rank VARCHAR, state VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
89,
15,
13513,
7,
834,
834,
834,
883,
3728,
545,
834,
584,
4280,
28027,
6,
5069,
7,
834,
6254,
584,
4280,
28027,
6,
3955,
7,
834,
6254,
584,
4280,
280... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
89,
15,
13513,
7,
834,
834,
834,
883,
3728,
545,
834,
61,
21680,
953,
834,
4350,
834,
536,
549,
17444,
427,
3955,
7,
834,
6254,
3,
2,
1401,
3430,
538,
3274,
96,
2304,
138,
9,
121,
3430,
5069,
7... |
How many Females (%) have a State of karnataka, and Males Rank larger than 16? | SELECT COUNT(females___percentage_) FROM table_name_45 WHERE state = "karnataka" AND males_rank > 16 | CREATE TABLE table_name_45 (females___percentage_ VARCHAR, state VARCHAR, males_rank VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
89,
15,
13513,
7,
834,
834,
834,
883,
3728,
545,
834,
584,
4280,
28027,
6,
538,
584,
4280,
28027,
6,
5069,
7,
834,
6254,
584,
4280,
28027,
61,
3,
321... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
89,
15,
13513,
7,
834,
834,
834,
883,
3728,
545,
834,
61,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
538,
3274,
96,
4031,
29,
144,
5667,
121,
3430,
5069,
7,
834,
6254,
2490,
898,
1,
-100,... |
Which Males Rank is the highest one that has Females (%) smaller than 40, and Females Rank smaller than 22? | SELECT MAX(males_rank) FROM table_name_93 WHERE females___percentage_ < 40 AND females_rank < 22 | CREATE TABLE table_name_93 (males_rank INTEGER, females___percentage_ VARCHAR, females_rank VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
13513,
7,
834,
6254,
3,
21342,
17966,
6,
3955,
7,
834,
834,
834,
883,
3728,
545,
834,
584,
4280,
28027,
6,
3955,
7,
834,
6254,
584,
4280,
28027,
61,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4800,
4,
599,
13513,
7,
834,
6254,
61,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
3955,
7,
834,
834,
834,
883,
3728,
545,
834,
3,
2,
1283,
3430,
3955,
7,
834,
6254,
3,
2,
1630,
1,
-100,
-100,
-100,
-100,... |
Which Females (%) has an HIV awareness (males%) larger than 92, and Females Rank larger than 2, and Males Rank smaller than 3? | SELECT SUM(females___percentage_) FROM table_name_71 WHERE hiv_awareness__males_percentage_ > 92 AND females_rank > 2 AND males_rank < 3 | CREATE TABLE table_name_71 (females___percentage_ INTEGER, males_rank VARCHAR, hiv_awareness__males_percentage_ VARCHAR, females_rank VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4450,
41,
89,
15,
13513,
7,
834,
834,
834,
883,
3728,
545,
834,
3,
21342,
17966,
6,
5069,
7,
834,
6254,
584,
4280,
28027,
6,
7102,
208,
834,
9,
3404,
655,
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,
89,
15,
13513,
7,
834,
834,
834,
883,
3728,
545,
834,
61,
21680,
953,
834,
4350,
834,
4450,
549,
17444,
427,
7102,
208,
834,
9,
3404,
655,
834,
834,
13513,
7,
834,
883,
3728,
545,
834,
2490,
3,
4... |
League Cup smaller than 0 is what sum of the total? | SELECT SUM(total) FROM table_name_31 WHERE league_cup < 0 | CREATE TABLE table_name_31 (total INTEGER, league_cup INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
235,
1947,
3,
21342,
17966,
6,
5533,
834,
4658,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
3815,
3802,
2755,
145,
3,
632,
19,
125,
4505,
13,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
235,
1947,
61,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
5533,
834,
4658,
3,
2,
3,
632,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Championship larger than 3, and a FA Cup smaller than 3, and a Total smaller than 6 involves what highest league cup? | SELECT MAX(league_cup) FROM table_name_27 WHERE championship > 3 AND fa_cup < 3 AND total < 6 | CREATE TABLE table_name_27 (league_cup INTEGER, total VARCHAR, championship VARCHAR, fa_cup VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2555,
41,
29512,
834,
4658,
3,
21342,
17966,
6,
792,
584,
4280,
28027,
6,
10183,
584,
4280,
28027,
6,
3,
89,
9,
834,
4658,
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,
4800,
4,
599,
29512,
834,
4658,
61,
21680,
953,
834,
4350,
834,
2555,
549,
17444,
427,
10183,
2490,
220,
3430,
3,
89,
9,
834,
4658,
3,
2,
220,
3430,
792,
3,
2,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Opponent has a Surface of hard on 28 august 1993? | SELECT opponent FROM table_name_46 WHERE surface = "hard" AND date = "28 august 1993" | CREATE TABLE table_name_46 (opponent VARCHAR, surface VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4448,
41,
32,
102,
9977,
584,
4280,
28027,
6,
1774,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
4495,
9977,
65,
3,
9,
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,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
21680,
953,
834,
4350,
834,
4448,
549,
17444,
427,
1774,
3274,
96,
5651,
121,
3430,
833,
3274,
96,
2577,
14663,
8388,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
WHICH Outcome IS ON 18 july 1993? | SELECT outcome FROM table_name_70 WHERE date = "18 july 1993" | CREATE TABLE table_name_70 (outcome VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
670,
287,
15,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
15313,
22293,
3387,
287,
15,
6827,
9191,
507,
3,
2047,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6138,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
833,
3274,
96,
2606,
3,
2047,
120,
8388,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
WHICH Outcome has aN Opponent of pascale paradis-mangon? | SELECT outcome FROM table_name_68 WHERE opponent = "pascale paradis-mangon" | CREATE TABLE table_name_68 (outcome VARCHAR, opponent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
670,
287,
15,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
15313,
22293,
3387,
287,
15,
65,
3,
9,
567,
4495,
997... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6138,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
15264,
3274,
96,
102,
9,
6649,
31191,
18,
348,
5307,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Score has aN Outcome of winner on 4 november 1990? | SELECT score FROM table_name_66 WHERE outcome = "winner" AND date = "4 november 1990" | CREATE TABLE table_name_66 (score VARCHAR, outcome VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
7,
9022,
584,
4280,
28027,
6,
6138,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
17763,
65,
3,
9,
567,
3387,
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,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
6138,
3274,
96,
3757,
687,
121,
3430,
833,
3274,
96,
591,
3,
5326,
18247,
5541,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Tournament has an Opponent of susan sloane? | SELECT tournament FROM table_name_18 WHERE opponent = "susan sloane" | CREATE TABLE table_name_18 (tournament VARCHAR, opponent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2606,
41,
17,
1211,
20205,
17,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
20502,
65,
46,
4495,
9977,
13,
4324,
152,
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,
5892,
21680,
953,
834,
4350,
834,
2606,
549,
17444,
427,
15264,
3274,
96,
7,
302,
152,
3,
7,
40,
8086,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which Tournament has an Opponent of meike babel? | SELECT tournament FROM table_name_92 WHERE opponent = "meike babel" | CREATE TABLE table_name_92 (tournament VARCHAR, opponent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4508,
41,
17,
1211,
20205,
17,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
20502,
65,
46,
4495,
9977,
13,
140,
5208,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5892,
21680,
953,
834,
4350,
834,
4508,
549,
17444,
427,
15264,
3274,
96,
526,
5208,
3,
115,
10333,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Game has a November of 29? | SELECT SUM(game) FROM table_name_63 WHERE november = 29 | CREATE TABLE table_name_63 (game INTEGER, november VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3891,
41,
7261,
3,
21342,
17966,
6,
3,
5326,
18247,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
4435,
65,
3,
9,
1671,
13,
2838,
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,
180,
6122,
599,
7261,
61,
21680,
953,
834,
4350,
834,
3891,
549,
17444,
427,
3,
5326,
18247,
3274,
2838,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Points have a Record of 12–2–4–1, and a November larger than 22? | SELECT AVG(points) FROM table_name_40 WHERE record = "12–2–4–1" AND november > 22 | CREATE TABLE table_name_40 (points INTEGER, record VARCHAR, november VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2445,
41,
2700,
7,
3,
21342,
17966,
6,
1368,
584,
4280,
28027,
6,
3,
5326,
18247,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
4564,
7,
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,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
2445,
549,
17444,
427,
1368,
3274,
96,
2122,
104,
357,
104,
591,
104,
536,
121,
3430,
3,
5326,
18247,
2490,
1630,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which Record has a Game of 19? | SELECT record FROM table_name_78 WHERE game = 19 | CREATE TABLE table_name_78 (record VARCHAR, game VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
60,
7621,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
11392,
65,
3,
9,
4435,
13,
957,
58,
1,
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,
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... | [
3,
23143,
14196,
1368,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
467,
3274,
957,
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,... |
How many Novembers have a Game larger than 14, and an Opponent of minnesota wild? | SELECT COUNT(november) FROM table_name_50 WHERE game > 14 AND opponent = "minnesota wild" | CREATE TABLE table_name_50 (november VARCHAR, game VARCHAR, opponent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
5326,
18247,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
186,
1671,
7,
43,
3,
9,
44... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
5326,
18247,
61,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
467,
2490,
968,
3430,
15264,
3274,
96,
1109,
1496,
32,
17,
9,
3645,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which November is the lowest one that has a Record of 12–2–4–1? | SELECT MIN(november) FROM table_name_56 WHERE record = "12–2–4–1" | CREATE TABLE table_name_56 (november INTEGER, record VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4834,
41,
5326,
18247,
3,
21342,
17966,
6,
1368,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
1671,
19,
8,
7402,
80,
24,
65,
3,
9,
11392,
13,
586,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
17684,
599,
5326,
18247,
61,
21680,
953,
834,
4350,
834,
4834,
549,
17444,
427,
1368,
3274,
96,
2122,
104,
357,
104,
591,
104,
536,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What day has a record of 25–30–13 and less than 63 points? | SELECT AVG(march) FROM table_name_70 WHERE record = "25–30–13" AND points < 63 | CREATE TABLE table_name_70 (march INTEGER, record VARCHAR, points VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
51,
7064,
3,
21342,
17966,
6,
1368,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
239,
65,
3,
9,
1368,
13,
944,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
71,
17217,
599,
51,
7064,
61,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
1368,
3274,
96,
1828,
104,
1458,
104,
2368,
121,
3430,
979,
3,
2,
3,
3891,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which opponent has 63 points? | SELECT opponent FROM table_name_98 WHERE points = 63 | CREATE TABLE table_name_98 (opponent VARCHAR, points VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
32,
102,
9977,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
15264,
65,
3,
3891,
979,
58,
1,
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,
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... | [
3,
23143,
14196,
15264,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
979,
3274,
3,
3891,
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 Alpha contains ia64 with discontinued 3.5-3.8 4.1-4.7? | SELECT alpha FROM table_name_34 WHERE ia64 = "discontinued 3.5-3.8 4.1-4.7" | CREATE TABLE table_name_34 (alpha VARCHAR, ia64 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3710,
41,
138,
6977,
584,
4280,
28027,
6,
3,
23,
9,
4389,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
12503,
2579,
3,
23,
9,
4389,
28,
28723,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
491,
6977,
21680,
953,
834,
4350,
834,
3710,
549,
17444,
427,
3,
23,
9,
4389,
3274,
96,
26,
159,
14175,
15,
26,
3,
9285,
18,
26195,
3,
19708,
18,
25211,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which s390x contains a yes ia64 and a no for alpha? | SELECT s390x FROM table_name_21 WHERE ia64 = "yes" AND alpha = "no" | CREATE TABLE table_name_21 (s390x VARCHAR, ia64 VARCHAR, alpha VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2658,
41,
7,
519,
2394,
226,
584,
4280,
28027,
6,
3,
23,
9,
4389,
584,
4280,
28027,
6,
491,
6977,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
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,
3,
7,
519,
2394,
226,
21680,
953,
834,
4350,
834,
2658,
549,
17444,
427,
3,
23,
9,
4389,
3274,
96,
10070,
121,
3430,
491,
6977,
3274,
96,
29,
32,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which hppa contains a ppc64 of yes 3+, no for mips and no for alpha? | SELECT hppa FROM table_name_72 WHERE mips = "no" AND alpha = "no" AND ppc64 = "yes 3+" | CREATE TABLE table_name_72 (hppa VARCHAR, ppc64 VARCHAR, mips VARCHAR, alpha VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
107,
1572,
9,
584,
4280,
28027,
6,
3,
1572,
75,
4389,
584,
4280,
28027,
6,
3,
51,
15432,
584,
4280,
28027,
6,
491,
6977,
584,
4280,
28027,
61,
3,
321... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
107,
1572,
9,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
3,
51,
15432,
3274,
96,
29,
32,
121,
3430,
491,
6977,
3274,
96,
29,
32,
121,
3430,
3,
1572,
75,
4389,
3274,
96,
10070,
220,
1220,
121,
1,
-100,... |
Which 1991 has an A 1993 ? | SELECT 1991 FROM table_name_77 WHERE 1993 = "a" | CREATE TABLE table_name_77 (Id VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4013,
41,
196,
26,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
9957,
65,
46,
71,
8388,
3,
58,
1,
0,
0,
0,
0,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
9957,
21680,
953,
834,
4350,
834,
4013,
549,
17444,
427,
8388,
3274,
96,
9,
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 992 has a 1–2 of 1989 ? | SELECT 1992 FROM table_name_13 WHERE 1989 = "1–2" | CREATE TABLE table_name_13 (Id VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2368,
41,
196,
26,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
668,
4508,
65,
3,
9,
209,
104,
357,
13,
9975,
3,
58,
1,
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,
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... | [
3,
23143,
14196,
9047,
21680,
953,
834,
4350,
834,
2368,
549,
17444,
427,
9975,
3274,
96,
536,
104,
357,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
WHICH 1990 has a 1993 of 1r? | SELECT 1990 FROM table_name_3 WHERE 1993 = "1r" | CREATE TABLE table_name_3 (Id VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
519,
41,
196,
26,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
15313,
22293,
5541,
65,
3,
9,
8388,
13,
209,
52,
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,
5541,
21680,
953,
834,
4350,
834,
519,
549,
17444,
427,
8388,
3274,
96,
536,
52,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which 1994 has a 1998 of 0–1? | SELECT 1994 FROM table_name_35 WHERE 1998 = "0–1" | CREATE TABLE table_name_35 (Id VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2469,
41,
196,
26,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
7520,
65,
3,
9,
6260,
13,
3,
632,
104,
536,
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,
7520,
21680,
953,
834,
4350,
834,
2469,
549,
17444,
427,
6260,
3274,
96,
632,
104,
536,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which 1995 has a 1993 of 3r? | SELECT 1995 FROM table_name_86 WHERE 1993 = "3r" | CREATE TABLE table_name_86 (Id VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3840,
41,
196,
26,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
7273,
65,
3,
9,
8388,
13,
220,
52,
58,
1,
0,
0,
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,
7273,
21680,
953,
834,
4350,
834,
3840,
549,
17444,
427,
8388,
3274,
96,
519,
52,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which 1992 has a 1996 of sf and a 1993 of a? | SELECT 1992 FROM table_name_59 WHERE 1996 = "sf" AND 1993 = "a" | CREATE TABLE table_name_59 (Id VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3390,
41,
196,
26,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
9047,
65,
3,
9,
6911,
13,
3,
7,
89,
11,
3,
9,
8388,
13,
3,
9,
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,
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,
9047,
21680,
953,
834,
4350,
834,
3390,
549,
17444,
427,
6911,
3274,
96,
7,
89,
121,
3430,
8388,
3274,
96,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which school picked a back in round 16, after pick 89? | SELECT school FROM table_name_20 WHERE pick > 89 AND position = "back" AND round = 16 | CREATE TABLE table_name_20 (school VARCHAR, round VARCHAR, pick VARCHAR, position VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
6646,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
1432,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
496,
47... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
496,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
1432,
2490,
3,
3914,
3430,
1102,
3274,
96,
1549,
121,
3430,
1751,
3274,
898,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who was the visitor in the game that had Ottawa as the home team? | SELECT visitor FROM table_name_29 WHERE home = "ottawa" | CREATE TABLE table_name_29 (visitor VARCHAR, home VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
3466,
155,
127,
584,
4280,
28027,
6,
234,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
47,
8,
7019,
16,
8,
467,
24,
141,
19809,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
7019,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
234,
3274,
96,
32,
17,
17,
7396,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What was the score in the game where Carolina was the home team and Niittymaki received the decision? | SELECT score FROM table_name_90 WHERE decision = "niittymaki" AND home = "carolina" | CREATE TABLE table_name_90 (score VARCHAR, decision VARCHAR, home VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
7,
9022,
584,
4280,
28027,
6,
1357,
584,
4280,
28027,
6,
234,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
2604,
16,
8,
467,
213,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
1357,
3274,
96,
29,
23,
17132,
51,
11259,
121,
3430,
234,
3274,
96,
1720,
12057,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the date of the game that had a loss of Johnson (9-8)? | SELECT date FROM table_name_30 WHERE loss = "johnson (9-8)" | CREATE TABLE table_name_30 (date VARCHAR, loss VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1458,
41,
5522,
584,
4280,
28027,
6,
1453,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
833,
13,
8,
467,
24,
141,
3,
9,
1453,
13,
5891,
141... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
833,
21680,
953,
834,
4350,
834,
1458,
549,
17444,
427,
1453,
3274,
96,
27341,
739,
14156,
18,
13520,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who had a Run 1 smaller than 51.96, a Run 2 larger than 51.13, and a Run 3 of 52.53? | SELECT athlete FROM table_name_23 WHERE run_1 < 51.96 AND run_2 > 51.13 AND run_3 = 52.53 | CREATE TABLE table_name_23 (athlete VARCHAR, run_3 VARCHAR, run_1 VARCHAR, run_2 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2773,
41,
26170,
15,
584,
4280,
28027,
6,
661,
834,
519,
584,
4280,
28027,
6,
661,
834,
536,
584,
4280,
28027,
6,
661,
834,
357,
584,
4280,
28027,
61,
3,
32105,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
17893,
21680,
953,
834,
4350,
834,
2773,
549,
17444,
427,
661,
834,
536,
3,
2,
11696,
5,
4314,
3430,
661,
834,
357,
2490,
11696,
5,
2368,
3430,
661,
834,
519,
3274,
9065,
5,
4867,
1,
-100,
-100,
-100,
-100,
-100,
... |
Who had a run 2 of 50.67? | SELECT athlete FROM table_name_67 WHERE run_2 = 50.67 | CREATE TABLE table_name_67 (athlete VARCHAR, run_2 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3708,
41,
26170,
15,
584,
4280,
28027,
6,
661,
834,
357,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
141,
3,
9,
661,
204,
13,
943,
5,
3708,
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,
17893,
21680,
953,
834,
4350,
834,
3708,
549,
17444,
427,
661,
834,
357,
3274,
943,
5,
3708,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was john farrow's run 2 associated with a run 1 of greater than 52.25? | SELECT MAX(run_2) FROM table_name_21 WHERE run_1 > 52.25 AND athlete = "john farrow" | CREATE TABLE table_name_21 (run_2 INTEGER, run_1 VARCHAR, athlete VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2658,
41,
4312,
834,
357,
3,
21342,
17966,
6,
661,
834,
536,
584,
4280,
28027,
6,
17893,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
3,
27341,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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... | [
3,
23143,
14196,
4800,
4,
599,
4312,
834,
7318,
21680,
953,
834,
4350,
834,
2658,
549,
17444,
427,
661,
834,
536,
2490,
9065,
5,
1828,
3430,
17893,
3274,
96,
27341,
623,
3623,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the Score in the game against the Buffalo Sabres? | SELECT score FROM table_name_83 WHERE opponent = "buffalo sabres" | CREATE TABLE table_name_83 (score VARCHAR, opponent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
7,
9022,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
17763,
16,
8,
467,
581,
8,
17563,
11315,
60,
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,
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,
4591,
549,
17444,
427,
15264,
3274,
96,
115,
2999,
138,
32,
3,
7,
9,
1999,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Rank smaller than 4, and a Name of dalma iványi involved which lowest game? | SELECT MIN(games) FROM table_name_9 WHERE rank < 4 AND name = "dalma iványi" | CREATE TABLE table_name_9 (games INTEGER, rank VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
7261,
7,
3,
21342,
17966,
6,
11003,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
22557,
2755,
145,
6464,
11,
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,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
7261,
7,
61,
21680,
953,
834,
4350,
834,
1298,
549,
17444,
427,
11003,
3,
2,
314,
3430,
564,
3274,
96,
26,
138,
51,
9,
3,
23,
208,
12916,
63,
23,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name of sue bird that involves what team? | SELECT team FROM table_name_27 WHERE name = "sue bird" | CREATE TABLE table_name_27 (team VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2555,
41,
11650,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
5570,
13,
2629,
15,
5963,
24,
5806,
125,
372,
58,
1,
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,
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... | [
3,
23143,
14196,
372,
21680,
953,
834,
4350,
834,
2555,
549,
17444,
427,
564,
3274,
96,
7,
76,
15,
5963,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which episode was directed by Bob Anderson with a production code of KABF16 and a season before than 25? | SELECT episode FROM table_name_16 WHERE season < 25 AND directed_by = "bob anderson" AND production_code = "kabf16" | CREATE TABLE table_name_16 (episode VARCHAR, production_code VARCHAR, season VARCHAR, directed_by VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2938,
41,
15,
102,
159,
32,
221,
584,
4280,
28027,
6,
999,
834,
4978,
584,
4280,
28027,
6,
774,
584,
4280,
28027,
6,
6640,
834,
969,
584,
4280,
28027,
61,
3,
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,
5640,
21680,
953,
834,
4350,
834,
2938,
549,
17444,
427,
774,
3,
2,
944,
3430,
6640,
834,
969,
3274,
96,
17396,
11,
13515,
121,
3430,
999,
834,
4978,
3274,
96,
1258,
115,
89,
2938,
121,
1,
-100,
-100,
-100,
-100,
... |
Who was the director of the episode with a season after 8 and an episode of XVI? | SELECT directed_by FROM table_name_77 WHERE season > 8 AND episode = "xvi" | CREATE TABLE table_name_77 (directed_by VARCHAR, season VARCHAR, episode VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4013,
41,
22955,
834,
969,
584,
4280,
28027,
6,
774,
584,
4280,
28027,
6,
5640,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
47,
8,
2090,
13,
8,
56... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6640,
834,
969,
21680,
953,
834,
4350,
834,
4013,
549,
17444,
427,
774,
2490,
505,
3430,
5640,
3274,
96,
226,
2099,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Date of 7 september 1996 includes which highest rank athlete? | SELECT MAX(rank) FROM table_name_68 WHERE date = "7 september 1996" | CREATE TABLE table_name_68 (rank INTEGER, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
6254,
3,
21342,
17966,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
7678,
13,
489,
16022,
18247,
6911,
963,
84,
2030,
11003,
17893,
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,
0... | [
3,
23143,
14196,
4800,
4,
599,
6254,
61,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
833,
3274,
96,
940,
16022,
18247,
6911,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Time of 10.82 has what location? | SELECT location FROM table_name_84 WHERE time = 10.82 | CREATE TABLE table_name_84 (location VARCHAR, time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4608,
41,
14836,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2900,
13,
5477,
4613,
65,
125,
1128,
58,
1,
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,
1128,
21680,
953,
834,
4350,
834,
4608,
549,
17444,
427,
97,
3274,
5477,
4613,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Date of 10 july 2009 includes what athlete? | SELECT athlete FROM table_name_92 WHERE date = "10 july 2009" | CREATE TABLE table_name_92 (athlete VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4508,
41,
26170,
15,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
7678,
13,
335,
3,
2047,
120,
2464,
963,
125,
17893,
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,
17893,
21680,
953,
834,
4350,
834,
4508,
549,
17444,
427,
833,
3274,
96,
1714,
3,
2047,
120,
2464,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Rank smaller than 5, and a Time larger than 10.7, and a Date of 10 july 2009 has what location? | SELECT location FROM table_name_37 WHERE rank < 5 AND time > 10.7 AND date = "10 july 2009" | CREATE TABLE table_name_37 (location VARCHAR, date VARCHAR, rank VARCHAR, time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4118,
41,
14836,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
22557,
2755... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1128,
21680,
953,
834,
4350,
834,
4118,
549,
17444,
427,
11003,
3,
2,
305,
3430,
97,
2490,
5477,
940,
3430,
833,
3274,
96,
1714,
3,
2047,
120,
2464,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Faith of rc, and a Opened larger than 1966 which has the highest DCSF number? | SELECT MAX(dcsf_number) FROM table_name_22 WHERE faith = "rc" AND opened > 1966 | CREATE TABLE table_name_22 (dcsf_number INTEGER, faith VARCHAR, opened VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
26,
75,
7,
89,
834,
5525,
1152,
3,
21342,
17966,
6,
3251,
584,
4280,
28027,
6,
2946,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
15364,
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,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
26,
75,
7,
89,
834,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
3251,
3274,
96,
52,
75,
121,
3430,
2946,
2490,
20658,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Faith of –, and a Name of greenway has what type? | SELECT type FROM table_name_79 WHERE faith = "–" AND name = "greenway" | CREATE TABLE table_name_79 (type VARCHAR, faith VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4440,
41,
6137,
584,
4280,
28027,
6,
3251,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
15364,
13,
3,
104,
6,
11,
3,
9,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
686,
21680,
953,
834,
4350,
834,
4440,
549,
17444,
427,
3251,
3274,
96,
104,
121,
3430,
564,
3274,
96,
9423,
1343,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Who was the opponent that played at Launceston Cricket Club Ground, launceston during the season of 1853/54? | SELECT opponent FROM table_name_47 WHERE venue = "launceston cricket club ground, launceston" AND season = "1853/54" | CREATE TABLE table_name_47 (opponent VARCHAR, venue VARCHAR, season VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4177,
41,
32,
102,
9977,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
6,
774,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
47,
8,
15264,
24,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
15264,
21680,
953,
834,
4350,
834,
4177,
549,
17444,
427,
5669,
3274,
96,
40,
402,
3772,
4411,
18096,
1886,
1591,
6,
50,
202,
565,
4411,
121,
3430,
774,
3274,
96,
21594,
15020,
5062,
121,
1,
-100,
-100,
-100,
-100,
... |
What was the rank of the team during season 2006/07? | SELECT rank FROM table_name_92 WHERE season = "2006/07" | CREATE TABLE table_name_92 (rank VARCHAR, season VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4508,
41,
6254,
584,
4280,
28027,
6,
774,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
11003,
13,
8,
372,
383,
774,
3581,
87,
4560,
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,
11003,
21680,
953,
834,
4350,
834,
4508,
549,
17444,
427,
774,
3274,
96,
21196,
87,
4560,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the venue where there were 55 runs? | SELECT venue FROM table_name_12 WHERE runs = "55" | CREATE TABLE table_name_12 (venue VARCHAR, runs VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
15098,
584,
4280,
28027,
6,
3154,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
5669,
213,
132,
130,
6897,
3154,
58,
1,
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,
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... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
3154,
3274,
96,
3769,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the venue where there were 62 runs? | SELECT venue FROM table_name_97 WHERE runs = "62" | CREATE TABLE table_name_97 (venue VARCHAR, runs VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4327,
41,
15098,
584,
4280,
28027,
6,
3154,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
5669,
213,
132,
130,
3,
4056,
3154,
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,
5669,
21680,
953,
834,
4350,
834,
4327,
549,
17444,
427,
3154,
3274,
96,
4056,
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 driver had an accident and laps smaller than 53? | SELECT driver FROM table_name_82 WHERE laps < 53 AND time_retired = "accident" | CREATE TABLE table_name_82 (driver VARCHAR, laps VARCHAR, time_retired VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4613,
41,
13739,
52,
584,
4280,
28027,
6,
14941,
7,
584,
4280,
28027,
6,
97,
834,
10682,
1271,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
2535,
141... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2535,
21680,
953,
834,
4350,
834,
4613,
549,
17444,
427,
14941,
7,
3,
2,
12210,
3430,
97,
834,
10682,
1271,
3274,
96,
6004,
4215,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What language has a publication range from 1955–1999? | SELECT language FROM table_name_85 WHERE publication_range = "1955–1999" | CREATE TABLE table_name_85 (language VARCHAR, publication_range VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
24925,
584,
4280,
28027,
6,
5707,
834,
5517,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
1612,
65,
3,
9,
5707,
620,
45,
23652,
104,
2294,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1612,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
5707,
834,
5517,
3274,
96,
2294,
3769,
104,
2294,
3264,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the status for a journal with the ISSN of 0149-1830? | SELECT status FROM table_name_62 WHERE issn = "0149-1830" | CREATE TABLE table_name_62 (status VARCHAR, issn VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
8547,
302,
584,
4280,
28027,
6,
19,
7,
29,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2637,
21,
3,
9,
6378,
28,
8,
6827,
8544,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2637,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
19,
7,
29,
3274,
96,
4542,
3647,
6996,
1458,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the language with a France publication range of 1992–2003? | SELECT language FROM table_name_65 WHERE country = "france" AND publication_range = "1992–2003" | CREATE TABLE table_name_65 (language VARCHAR, country VARCHAR, publication_range VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
24925,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
6,
5707,
834,
5517,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1612,
28,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1612,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
684,
3274,
96,
89,
5219,
121,
3430,
5707,
834,
5517,
3274,
96,
19479,
357,
104,
23948,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the ISSN number of a publication range of 1984-? | SELECT issn FROM table_name_36 WHERE publication_range = "1984-" | CREATE TABLE table_name_36 (issn VARCHAR, publication_range VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
159,
7,
29,
584,
4280,
28027,
6,
5707,
834,
5517,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
6827,
8544,
381,
13,
3,
9,
5707,
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,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
19,
7,
29,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
5707,
834,
5517,
3274,
96,
2294,
4608,
18,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the language for a journal that has a frequency of 3 times per year and has an ISSN number of 1136-7385? | SELECT language FROM table_name_43 WHERE frequency = "3 times per year" AND issn = "1136-7385" | CREATE TABLE table_name_43 (language VARCHAR, frequency VARCHAR, issn VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4906,
41,
24925,
584,
4280,
28027,
6,
7321,
584,
4280,
28027,
6,
19,
7,
29,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1612,
21,
3,
9,
63... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1612,
21680,
953,
834,
4350,
834,
4906,
549,
17444,
427,
7321,
3274,
96,
519,
648,
399,
215,
121,
3430,
19,
7,
29,
3274,
96,
20522,
25302,
3747,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the region 4 release that has july 20, 2009 as the region 2? | SELECT region_4_release FROM table_name_99 WHERE region_2_release = "july 20, 2009" | CREATE TABLE table_name_99 (region_4_release VARCHAR, region_2_release VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
18145,
834,
591,
834,
21019,
584,
4280,
28027,
6,
1719,
834,
357,
834,
21019,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1719,
314,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1719,
834,
591,
834,
21019,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
1719,
834,
357,
834,
21019,
3274,
96,
2047,
120,
16047,
2464,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the region 1 release that has july 20, 2009 as the region 2? | SELECT region_1_release FROM table_name_39 WHERE region_2_release = "july 20, 2009" | CREATE TABLE table_name_39 (region_1_release VARCHAR, region_2_release VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
18145,
834,
536,
834,
21019,
584,
4280,
28027,
6,
1719,
834,
357,
834,
21019,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1719,
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,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1719,
834,
536,
834,
21019,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
1719,
834,
357,
834,
21019,
3274,
96,
2047,
120,
16047,
2464,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the average episode that has September 11, 2007 as a region 1? | SELECT AVG(episodes) FROM table_name_70 WHERE region_1_release = "september 11, 2007" | CREATE TABLE table_name_70 (episodes INTEGER, region_1_release VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
15,
102,
159,
32,
1395,
3,
21342,
17966,
6,
1719,
834,
536,
834,
21019,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1348,
5640,
24... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
71,
17217,
599,
15,
102,
159,
32,
1395,
61,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
1719,
834,
536,
834,
21019,
3274,
96,
7,
6707,
18247,
9694,
4101,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the scheduled value for the farm having a capacity under 32.5MW, type of Nordex n90 2.5MW, and a farm of Glenough Extension? | SELECT scheduled FROM table_name_13 WHERE capacity__mw_ < 32.5 AND type = "nordex n90 2.5mw" AND wind_farm = "glenough extension" | CREATE TABLE table_name_13 (scheduled VARCHAR, wind_farm VARCHAR, capacity__mw_ VARCHAR, type VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2368,
41,
3992,
1259,
1361,
584,
4280,
28027,
6,
2943,
834,
5544,
51,
584,
4280,
28027,
6,
2614,
834,
834,
51,
210,
834,
584,
4280,
28027,
6,
686,
584,
4280,
280... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5018,
21680,
953,
834,
4350,
834,
2368,
549,
17444,
427,
2614,
834,
834,
51,
210,
834,
3,
2,
220,
15967,
3430,
686,
3274,
96,
29,
127,
26,
994,
3,
29,
2394,
10603,
51,
210,
121,
3430,
2943,
834,
5544,
51,
3274,
... |
What is the type of turbine having fewer than 17 units and located in County Laois? | SELECT type FROM table_name_65 WHERE turbines < 17 AND location = "county laois" | CREATE TABLE table_name_65 (type VARCHAR, turbines VARCHAR, location VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
6137,
584,
4280,
28027,
6,
20784,
7,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
686,
13,
20784,
578,
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,
686,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
20784,
7,
3,
2,
1003,
3430,
1128,
3274,
96,
13362,
63,
50,
32,
159,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
When is the scheduled date for the farm having 17 turbines? | SELECT scheduled FROM table_name_96 WHERE turbines = 17 | CREATE TABLE table_name_96 (scheduled VARCHAR, turbines VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
3992,
1259,
1361,
584,
4280,
28027,
6,
20784,
7,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
19,
8,
5018,
833,
21,
8,
3797,
578,
1003,
20... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5018,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
20784,
7,
3274,
1003,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the average capacity for the farm at Gortahile having more than 8 turbines? | SELECT AVG(capacity__mw_) FROM table_name_84 WHERE wind_farm = "gortahile" AND turbines > 8 | CREATE TABLE table_name_84 (capacity__mw_ INTEGER, wind_farm VARCHAR, turbines VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4608,
41,
4010,
9,
6726,
834,
834,
51,
210,
834,
3,
21342,
17966,
6,
2943,
834,
5544,
51,
584,
4280,
28027,
6,
20784,
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,
71,
17217,
599,
4010,
9,
6726,
834,
834,
51,
210,
834,
61,
21680,
953,
834,
4350,
834,
4608,
549,
17444,
427,
2943,
834,
5544,
51,
3274,
96,
122,
127,
17,
9,
107,
699,
121,
3430,
20784,
7,
2490,
505,
1,
-100,
-1... |
What is the title of the king who left office in 982 and entered office in 949? | SELECT title FROM table_name_64 WHERE left_office = "982" AND entered_office = "949" | CREATE TABLE table_name_64 (title VARCHAR, left_office VARCHAR, entered_office VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
21869,
584,
4280,
28027,
6,
646,
834,
19632,
584,
4280,
28027,
6,
5136,
834,
19632,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2233... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2233,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
646,
834,
19632,
3274,
96,
3916,
357,
121,
3430,
5136,
834,
19632,
3274,
96,
1298,
3647,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
When did the king who entered office in 1012 leave office? | SELECT left_office FROM table_name_34 WHERE entered_office = "1012" | CREATE TABLE table_name_34 (left_office VARCHAR, entered_office VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3710,
41,
17068,
834,
19632,
584,
4280,
28027,
6,
5136,
834,
19632,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
410,
8,
3,
1765,
113,
5136,
828,
16,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
646,
834,
19632,
21680,
953,
834,
4350,
834,
3710,
549,
17444,
427,
5136,
834,
19632,
3274,
96,
1714,
2122,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What are the family relations of the king with the throne name 303? | SELECT family_relations FROM table_name_20 WHERE throne_name = "303" | CREATE TABLE table_name_20 (family_relations VARCHAR, throne_name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
15474,
834,
60,
6105,
7,
584,
4280,
28027,
6,
3,
8514,
29,
15,
834,
4350,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
33,
8,
384,
5836,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
384,
834,
60,
6105,
7,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
3,
8514,
29,
15,
834,
4350,
3274,
96,
23335,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is teh born-died dates of the king with a throne name 315 and left office in 1021? | SELECT born_died FROM table_name_74 WHERE left_office = "1021" AND throne_name = "315" | CREATE TABLE table_name_74 (born_died VARCHAR, left_office VARCHAR, throne_name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4581,
41,
7473,
834,
2498,
26,
584,
4280,
28027,
6,
646,
834,
19632,
584,
4280,
28027,
6,
3,
8514,
29,
15,
834,
4350,
584,
4280,
28027,
61,
3,
32105,
32106,
3210... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2170,
834,
2498,
26,
21680,
953,
834,
4350,
834,
4581,
549,
17444,
427,
646,
834,
19632,
3274,
96,
1714,
2658,
121,
3430,
3,
8514,
29,
15,
834,
4350,
3274,
96,
3341,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Opponents have a Partner of irina-camelia begu, and a Surface of hard? | SELECT opponents FROM table_name_15 WHERE partner = "irina-camelia begu" AND surface = "hard" | CREATE TABLE table_name_15 (opponents VARCHAR, partner VARCHAR, surface VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
32,
102,
9977,
7,
584,
4280,
28027,
6,
2397,
584,
4280,
28027,
6,
1774,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
4495,
9977,
7,
43,
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,
16383,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
2397,
3274,
96,
23,
52,
77,
9,
18,
6527,
13240,
36,
1744,
121,
3430,
1774,
3274,
96,
5651,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which Surface has a Partner of galina voskoboeva? | SELECT surface FROM table_name_45 WHERE partner = "galina voskoboeva" | CREATE TABLE table_name_45 (surface VARCHAR, partner VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
26899,
584,
4280,
28027,
6,
2397,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
18884,
65,
3,
9,
5793,
13,
7466,
77,
9,
1507,
157,
32,
115... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1774,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
2397,
3274,
96,
6191,
77,
9,
1507,
157,
32,
115,
32,
4721,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Opponents have a Surface of hard, and an Outcome of runner-up, and a Partner of jarmila gajdošová? | SELECT opponents FROM table_name_80 WHERE surface = "hard" AND outcome = "runner-up" AND partner = "jarmila gajdošová" | CREATE TABLE table_name_80 (opponents VARCHAR, partner VARCHAR, surface VARCHAR, outcome VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
32,
102,
9977,
7,
584,
4280,
28027,
6,
2397,
584,
4280,
28027,
6,
1774,
584,
4280,
28027,
6,
6138,
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,
16383,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
1774,
3274,
96,
5651,
121,
3430,
6138,
3274,
96,
10806,
18,
413,
121,
3430,
2397,
3274,
96,
5670,
26759,
7922,
354,
26,
32,
2,
32,
208,
2975,
121,
1,
-100,
... |
Which Partner has a Date of 12 july 2009? | SELECT partner FROM table_name_18 WHERE date = "12 july 2009" | CREATE TABLE table_name_18 (partner VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2606,
41,
12300,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
5793,
65,
3,
9,
7678,
13,
586,
3,
2047,
120,
2464,
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,
2397,
21680,
953,
834,
4350,
834,
2606,
549,
17444,
427,
833,
3274,
96,
2122,
3,
2047,
120,
2464,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Surface has a Partner of sorana cîrstea? | SELECT surface FROM table_name_93 WHERE partner = "sorana cîrstea" | CREATE TABLE table_name_93 (surface VARCHAR, partner VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
26899,
584,
4280,
28027,
6,
2397,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
18884,
65,
3,
9,
5793,
13,
78,
2002,
9,
3,
75,
3633,
52,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1774,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
2397,
3274,
96,
7,
127,
152,
9,
3,
75,
3633,
52,
849,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Name the least overall with pick number more than 27 | SELECT MIN(overall) FROM table_name_56 WHERE pick__number > 27 | CREATE TABLE table_name_56 (overall INTEGER, pick__number INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4834,
41,
1890,
1748,
3,
21342,
17966,
6,
1432,
834,
834,
5525,
1152,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
5570,
8,
709,
1879,
28,
1432,
381,
72,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
17684,
599,
1890,
1748,
61,
21680,
953,
834,
4350,
834,
4834,
549,
17444,
427,
1432,
834,
834,
5525,
1152,
2490,
2307,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what's the first leg with gran canaria as team #2? | SELECT 1 AS st_leg FROM table_name_56 WHERE team__number2 = "gran canaria" | CREATE TABLE table_name_56 (team__number2 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4834,
41,
11650,
834,
834,
5525,
1152,
357,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
31,
7,
8,
166,
4553,
28,
3,
7662,
54,
6286,
38,
372,
15493,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
209,
6157,
3,
7,
17,
834,
5772,
21680,
953,
834,
4350,
834,
4834,
549,
17444,
427,
372,
834,
834,
5525,
1152,
357,
3274,
96,
7662,
54,
6286,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
with team #1 as lukoil academic what is team #2? | SELECT team__number2 FROM table_name_67 WHERE team__number1 = "lukoil academic" | CREATE TABLE table_name_67 (team__number2 VARCHAR, team__number1 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3708,
41,
11650,
834,
834,
5525,
1152,
357,
584,
4280,
28027,
6,
372,
834,
834,
5525,
1152,
536,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
28,
372,
7172... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
372,
834,
834,
5525,
1152,
357,
21680,
953,
834,
4350,
834,
3708,
549,
17444,
427,
372,
834,
834,
5525,
1152,
536,
3274,
96,
40,
1598,
32,
173,
2705,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
with team #2 as akasvayu girona what is team #1? | SELECT team__number1 FROM table_name_12 WHERE team__number2 = "akasvayu girona" | CREATE TABLE table_name_12 (team__number1 VARCHAR, team__number2 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
11650,
834,
834,
5525,
1152,
536,
584,
4280,
28027,
6,
372,
834,
834,
5525,
1152,
357,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
28,
372,
1549... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
372,
834,
834,
5525,
1152,
536,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
372,
834,
834,
5525,
1152,
357,
3274,
96,
5667,
7,
900,
63,
76,
3,
9427,
106,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which virtue is acedia(Latin)? | SELECT virtue FROM table_name_13 WHERE (latin) = acedia | CREATE TABLE table_name_13 (virtue VARCHAR, acedia VARCHAR, latin VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2368,
41,
5771,
17,
76,
15,
584,
4280,
28027,
6,
3,
9,
75,
18999,
584,
4280,
28027,
6,
3,
14098,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
15768... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15768,
21680,
953,
834,
4350,
834,
2368,
549,
17444,
427,
41,
14098,
61,
3274,
3,
9,
75,
18999,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which Virtue has a (vice) of lust? | SELECT virtue FROM table_name_31 WHERE _vice_ = "lust" | CREATE TABLE table_name_31 (virtue VARCHAR, _vice_ VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
5771,
17,
76,
15,
584,
4280,
28027,
6,
3,
834,
7287,
15,
834,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
31180,
15,
65,
3,
9,
41,
728... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15768,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
3,
834,
7287,
15,
834,
3274,
96,
10008,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which virtue is Invidia(Latin)? | SELECT virtue FROM table_name_20 WHERE (latin) = invidia | CREATE TABLE table_name_20 (virtue VARCHAR, invidia VARCHAR, latin VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
5771,
17,
76,
15,
584,
4280,
28027,
6,
16,
208,
24594,
584,
4280,
28027,
6,
3,
14098,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
15768,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15768,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
41,
14098,
61,
3274,
16,
208,
24594,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What's the gloss with Castitas(Latin)? | SELECT gloss FROM table_name_79 WHERE latin = "castitas" | CREATE TABLE table_name_79 (gloss VARCHAR, latin VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4440,
41,
9680,
7,
7,
584,
4280,
28027,
6,
3,
14098,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
31,
7,
8,
20666,
28,
11583,
155,
9,
7,
599,
3612... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
20666,
21680,
953,
834,
4350,
834,
4440,
549,
17444,
427,
3,
14098,
3274,
96,
5254,
155,
9,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Diligence Virtues Gloss? | SELECT gloss FROM table_name_22 WHERE virtue = "diligence" | CREATE TABLE table_name_22 (gloss VARCHAR, virtue VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
9680,
7,
7,
584,
4280,
28027,
6,
15768,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2043,
2825,
1433,
31180,
15,
7,
9840,
7,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
20666,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
15768,
3274,
96,
26,
23,
2825,
1433,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Virtue of Temperance in Latin? | SELECT latin FROM table_name_64 WHERE virtue = "temperance" | CREATE TABLE table_name_64 (latin VARCHAR, virtue VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
14098,
584,
4280,
28027,
6,
15768,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
31180,
15,
13,
26396,
5219,
16,
6271,
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,
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,
14098,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
15768,
3274,
96,
17,
22511,
663,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
In what year(s) did South Korea win silver? | SELECT year FROM table_name_14 WHERE silver = "south korea" | CREATE TABLE table_name_14 (year VARCHAR, silver VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2534,
41,
1201,
584,
4280,
28027,
6,
4294,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
86,
125,
215,
599,
7,
61,
410,
1013,
7054,
1369,
4294,
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,
215,
21680,
953,
834,
4350,
834,
2534,
549,
17444,
427,
4294,
3274,
96,
7,
670,
107,
3,
5543,
15,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which nation(s) won silver in Doha? | SELECT silver FROM table_name_51 WHERE location = "doha" | CREATE TABLE table_name_51 (silver VARCHAR, location VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5553,
41,
7,
173,
624,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
2982,
599,
7,
61,
751,
4294,
16,
531,
1024,
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,
4294,
21680,
953,
834,
4350,
834,
5553,
549,
17444,
427,
1128,
3274,
96,
26,
32,
1024,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What was the first year that South Korea won gold and Malaysia won bronze? | SELECT MIN(year) FROM table_name_74 WHERE gold = "south korea" AND bronze = "malaysia" | CREATE TABLE table_name_74 (year INTEGER, gold VARCHAR, bronze VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4581,
41,
1201,
3,
21342,
17966,
6,
2045,
584,
4280,
28027,
6,
13467,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
166,
215,
24,
1013,
7054,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
17684,
599,
1201,
61,
21680,
953,
834,
4350,
834,
4581,
549,
17444,
427,
2045,
3274,
96,
7,
670,
107,
3,
5543,
15,
9,
121,
3430,
13467,
3274,
96,
51,
9,
20244,
23,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-10... |
What country won gold in the year(s) that Chinese Taipei won bronze? | SELECT gold FROM table_name_50 WHERE bronze = "chinese taipei" | CREATE TABLE table_name_50 (gold VARCHAR, bronze VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
14910,
584,
4280,
28027,
6,
13467,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
684,
751,
2045,
16,
8,
215,
599,
7,
61,
24,
2830,
17612,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2045,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
13467,
3274,
96,
1436,
1496,
15,
3,
17,
9,
23,
855,
23,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which European competitions have a Pos of 6? | SELECT european_competitions FROM table_name_85 WHERE pos = 6 | CREATE TABLE table_name_85 (european_competitions VARCHAR, pos VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
28188,
152,
834,
287,
19427,
2865,
584,
4280,
28027,
6,
3,
2748,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
1611,
2259,
7,
43,
3,
9,
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,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
14864,
834,
287,
19427,
2865,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
3,
2748,
3274,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Pos has a Dutch Cup of winner, and a Tier larger than 1? | SELECT AVG(pos) FROM table_name_1 WHERE dutch_cup = "winner" AND tier > 1 | CREATE TABLE table_name_1 (pos INTEGER, dutch_cup VARCHAR, tier VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
2748,
3,
21342,
17966,
6,
146,
17,
524,
834,
4658,
584,
4280,
28027,
6,
3,
3276,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
13995,
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,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
2748,
61,
21680,
953,
834,
4350,
834,
536,
549,
17444,
427,
146,
17,
524,
834,
4658,
3274,
96,
3757,
687,
121,
3430,
3,
3276,
2490,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the average Frequency MHz that is on farwell, texas? | SELECT AVG(frequency_mhz) FROM table_name_72 WHERE city_of_license = "farwell, texas" | CREATE TABLE table_name_72 (frequency_mhz INTEGER, city_of_license VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
30989,
834,
51,
107,
172,
3,
21342,
17966,
6,
690,
834,
858,
834,
28062,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1348,
5532,
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,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
30989,
834,
51,
107,
172,
61,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
690,
834,
858,
834,
28062,
3274,
96,
5544,
2091,
6,
3,
10354,
9,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
WHich City of license has a FCC info of fcc, and 10,000 horizontal 3,000 vertical ERP W | SELECT city_of_license FROM table_name_42 WHERE fcc_info = "fcc" AND erp_w = "10,000 horizontal 3,000 vertical" | CREATE TABLE table_name_42 (city_of_license VARCHAR, fcc_info VARCHAR, erp_w VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4165,
41,
6726,
834,
858,
834,
28062,
584,
4280,
28027,
6,
3,
89,
75,
75,
834,
9583,
584,
4280,
28027,
6,
3,
49,
102,
834,
210,
584,
4280,
28027,
61,
3,
32105,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
690,
834,
858,
834,
28062,
21680,
953,
834,
4350,
834,
4165,
549,
17444,
427,
3,
89,
75,
75,
834,
9583,
3274,
96,
89,
75,
75,
121,
3430,
3,
49,
102,
834,
210,
3274,
96,
29573,
9969,
3,
11212,
5857,
121,
1,
-100,... |
WHich FCC info has 3,000 ERP W? | SELECT fcc_info FROM table_name_22 WHERE erp_w = "3,000" | CREATE TABLE table_name_22 (fcc_info VARCHAR, erp_w VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
89,
75,
75,
834,
9583,
584,
4280,
28027,
6,
3,
49,
102,
834,
210,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3,
15313,
362,
377,
2823,
2845,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
89,
75,
75,
834,
9583,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
3,
49,
102,
834,
210,
3274,
96,
11212,
121,
1,
-100,
-100,
-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.