NATURAL_LANG stringlengths 12 244 | SQL stringlengths 18 336 | SCHEMA stringlengths 27 355 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Can you tell me the highest Lost that has the Pool/Round of pool 2, and the Played smaller than 6? | SELECT MAX(lost) FROM table_name_43 WHERE pool_round = "pool 2" AND played < 6 | CREATE TABLE table_name_43 (lost INTEGER, pool_round VARCHAR, played VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4906,
41,
2298,
17,
3,
21342,
17966,
6,
2201,
834,
7775,
584,
4280,
28027,
6,
1944,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
1072,
25,
817,
140,
8,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
2298,
17,
61,
21680,
953,
834,
4350,
834,
4906,
549,
17444,
427,
2201,
834,
7775,
3274,
96,
13194,
204,
121,
3430,
1944,
3,
2,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which network had unknown games and a title of hvem kan slå ylvis hvem kan slå aamodt & kjus? | SELECT network FROM table_name_4 WHERE games = "unknown" AND title = "hvem kan slå ylvis hvem kan slå aamodt & kjus" | CREATE TABLE table_name_4 (network VARCHAR, games VARCHAR, title VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
591,
41,
1582,
1981,
584,
4280,
28027,
6,
1031,
584,
4280,
28027,
6,
2233,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
1229,
141,
7752,
1031,
11,
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,
1229,
21680,
953,
834,
4350,
834,
591,
549,
17444,
427,
1031,
3274,
96,
202,
5661,
121,
3430,
2233,
3274,
96,
107,
162,
51,
3,
3304,
3,
7,
40,
2,
3,
63,
40,
3466,
3,
107,
162,
51,
3,
3304,
3,
7,
40,
2,
3,
... |
What was the date of the show titled Beat the Star? | SELECT date_aired FROM table_name_54 WHERE title = "beat the star" | CREATE TABLE table_name_54 (date_aired VARCHAR, title VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5062,
41,
5522,
834,
2378,
26,
584,
4280,
28027,
6,
2233,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
833,
13,
8,
504,
3,
10920,
14117,
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,
833,
834,
2378,
26,
21680,
953,
834,
4350,
834,
5062,
549,
17444,
427,
2233,
3274,
96,
12745,
8,
2213,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which date was the show aired on the RTL Televizija network? | SELECT date_aired FROM table_name_90 WHERE network = "rtl televizija" | CREATE TABLE table_name_90 (date_aired VARCHAR, network VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
5522,
834,
2378,
26,
584,
4280,
28027,
6,
1229,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
833,
47,
8,
504,
3,
2378,
26,
30,
8,
391,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
834,
2378,
26,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
1229,
3274,
96,
52,
17,
40,
3,
1931,
16880,
1191,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which date was the show aired on the RTL Televizija network? | SELECT date_aired FROM table_name_35 WHERE network = "rtl televizija" | CREATE TABLE table_name_35 (date_aired VARCHAR, network VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2469,
41,
5522,
834,
2378,
26,
584,
4280,
28027,
6,
1229,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
833,
47,
8,
504,
3,
2378,
26,
30,
8,
391,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
834,
2378,
26,
21680,
953,
834,
4350,
834,
2469,
549,
17444,
427,
1229,
3274,
96,
52,
17,
40,
3,
1931,
16880,
1191,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which network aired the program Schlag den Raab? | SELECT network FROM table_name_70 WHERE title = "schlag den raab" | CREATE TABLE table_name_70 (network VARCHAR, title VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
1582,
1981,
584,
4280,
28027,
6,
2233,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
1229,
3,
2378,
26,
8,
478,
20521,
177,
2922,
9,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1229,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
2233,
3274,
96,
9444,
177,
3,
52,
9,
9,
115,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
WHAT IS THE LOWEST DIAMETER FOR A LATITIDE OF 52.0S? | SELECT MIN(diameter__km_) FROM table_name_78 WHERE latitude = "52.0s" | CREATE TABLE table_name_78 (diameter__km_ INTEGER, latitude VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
26,
23,
9,
4401,
834,
834,
5848,
834,
3,
21342,
17966,
6,
50,
6592,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
21665,
6827,
1853,
3,
20573,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
26,
23,
9,
4401,
834,
834,
5848,
834,
61,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
50,
6592,
3274,
96,
755,
24273,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the position elected in 2011 from the Country of Algeria? | SELECT position FROM table_name_78 WHERE elected = 2011 AND country_of_origin = "algeria" | CREATE TABLE table_name_78 (position VARCHAR, elected VARCHAR, country_of_origin VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
4718,
584,
4280,
28027,
6,
8160,
584,
4280,
28027,
6,
684,
834,
858,
834,
32,
3380,
77,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
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,
1102,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
8160,
3274,
2722,
3430,
684,
834,
858,
834,
32,
3380,
77,
3274,
96,
138,
122,
4476,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the lowest term from the 2007 election with the position of chairperson? | SELECT MIN(term) FROM table_name_94 WHERE elected = 2007 AND position = "chairperson" | CREATE TABLE table_name_94 (term INTEGER, elected VARCHAR, position VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
1987,
3,
21342,
17966,
6,
8160,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
7402,
1657,
45,
8,
4101,
43... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1987,
61,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
8160,
3274,
4101,
3430,
1102,
3274,
96,
15657,
6075,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which Telebooms have a Brigade of total? | SELECT telebooms FROM table_name_78 WHERE brigade = "total" | CREATE TABLE table_name_78 (telebooms VARCHAR, brigade VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
1931,
12840,
51,
7,
584,
4280,
28027,
6,
6397,
12581,
221,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
7338,
12840,
51,
7,
43,
3,
9,
301... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
1931,
12840,
51,
7,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
6397,
12581,
221,
3274,
96,
235,
1947,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Platforms have a Hazmat of –, and a Type of urban & rural, and a Brigade of lara? | SELECT platforms FROM table_name_38 WHERE hazmat = "–" AND type = "urban & rural" AND brigade = "lara" | CREATE TABLE table_name_38 (platforms VARCHAR, brigade VARCHAR, hazmat VARCHAR, type VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3747,
41,
29100,
7,
584,
4280,
28027,
6,
6397,
12581,
221,
584,
4280,
28027,
6,
3,
10557,
3357,
584,
4280,
28027,
6,
686,
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,
5357,
21680,
953,
834,
4350,
834,
3747,
549,
17444,
427,
3,
10557,
3357,
3274,
96,
104,
121,
3430,
686,
3274,
96,
19413,
3,
184,
5372,
121,
3430,
6397,
12581,
221,
3274,
96,
40,
2551,
121,
1,
-100,
-100,
-100,
-100,... |
Which Tankers have a Hazmat of –, and Platforms of –, and a Staffing of volunteer? | SELECT tankers FROM table_name_9 WHERE hazmat = "–" AND platforms = "–" AND staffing = "volunteer" | CREATE TABLE table_name_9 (tankers VARCHAR, staffing VARCHAR, hazmat VARCHAR, platforms VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
17,
5979,
277,
584,
4280,
28027,
6,
871,
53,
584,
4280,
28027,
6,
3,
10557,
3357,
584,
4280,
28027,
6,
5357,
584,
4280,
28027,
61,
3,
32105,
32106,
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,
5040,
277,
21680,
953,
834,
4350,
834,
1298,
549,
17444,
427,
3,
10557,
3357,
3274,
96,
104,
121,
3430,
5357,
3274,
96,
104,
121,
3430,
871,
53,
3274,
96,
12740,
29,
17,
15,
49,
121,
1,
-100,
-100,
-100,
-100,
-10... |
How many Pumpers have Cars of 1, and a Staffing of volunteer, and a Brigade of grovedale, and Tankers smaller than 1? | SELECT COUNT(pumpers) FROM table_name_32 WHERE cars = "1" AND staffing = "volunteer" AND brigade = "grovedale" AND tankers < 1 | CREATE TABLE table_name_32 (pumpers VARCHAR, tankers VARCHAR, brigade VARCHAR, cars VARCHAR, staffing VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2668,
41,
102,
440,
4660,
584,
4280,
28027,
6,
5040,
277,
584,
4280,
28027,
6,
6397,
12581,
221,
584,
4280,
28027,
6,
2948,
584,
4280,
28027,
6,
871,
53,
584,
42... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
102,
440,
4660,
61,
21680,
953,
834,
4350,
834,
2668,
549,
17444,
427,
2948,
3274,
96,
536,
121,
3430,
871,
53,
3274,
96,
12740,
29,
17,
15,
49,
121,
3430,
6397,
12581,
221,
3274,
96,
20254,
5437,
... |
What is the average Year that has a Quantity of 10, and a GWR Numbers of 409, 290, 315, 317–321, 324, 333? | SELECT AVG(year) FROM table_name_49 WHERE quantity = 10 AND gwr_numbers = "409, 290, 315, 317–321, 324, 333" | CREATE TABLE table_name_49 (year INTEGER, quantity VARCHAR, gwr_numbers VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3647,
41,
1201,
3,
21342,
17966,
6,
8708,
584,
4280,
28027,
6,
3,
122,
210,
52,
834,
5525,
1152,
7,
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,
1... | [
3,
23143,
14196,
71,
17217,
599,
1201,
61,
21680,
953,
834,
4350,
834,
3647,
549,
17444,
427,
8708,
3274,
335,
3430,
3,
122,
210,
52,
834,
5525,
1152,
7,
3274,
96,
591,
4198,
6,
3,
23838,
6,
220,
1808,
6,
220,
2517,
104,
2668,
4... |
What was the score of the player who earned $5,000? | SELECT score FROM table_name_9 WHERE money__$_ = "5,000" | CREATE TABLE table_name_9 (score VARCHAR, money__$_ VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
7,
9022,
584,
4280,
28027,
6,
540,
834,
834,
3229,
834,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
2604,
13,
8,
1959,
113,
4964,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1298,
549,
17444,
427,
540,
834,
834,
3229,
834,
3274,
96,
5898,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What place did Phil Rodgers finish? | SELECT place FROM table_name_61 WHERE player = "phil rodgers" | CREATE TABLE table_name_61 (place VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
4687,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
286,
410,
8188,
8222,
1304,
7,
1992,
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,
286,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
1959,
3274,
96,
18118,
6102,
1304,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What country is the player who earned $9,000 from? | SELECT country FROM table_name_62 WHERE money__$_ = "9,000" | CREATE TABLE table_name_62 (country VARCHAR, money__$_ VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
17529,
584,
4280,
28027,
6,
540,
834,
834,
3229,
834,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
684,
19,
8,
1959,
113,
4964,
1514,
23938,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
684,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
540,
834,
834,
3229,
834,
3274,
96,
23938,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What round did the MWEHL team, Detroit Honeybaked, and the NHL Team Columbus Blue Jackets play? | SELECT round FROM table_name_9 WHERE mwehl_team = "detroit honeybaked" AND nhl_team = "columbus blue jackets" | CREATE TABLE table_name_9 (round VARCHAR, mwehl_team VARCHAR, nhl_team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
7775,
584,
4280,
28027,
6,
3,
51,
1123,
107,
40,
834,
11650,
584,
4280,
28027,
6,
3,
29,
107,
40,
834,
11650,
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,
1751,
21680,
953,
834,
4350,
834,
1298,
549,
17444,
427,
3,
51,
1123,
107,
40,
834,
11650,
3274,
96,
26,
15252,
155,
8591,
115,
15461,
121,
3430,
3,
29,
107,
40,
834,
11650,
3274,
96,
3297,
440,
3465,
1692,
8094,
... |
Who was the player in Round 7, on the MWEHL Team Detroit Honeybaked, and the NHL Team, Philadelphia Flyers teams? | SELECT player FROM table_name_32 WHERE round = "7" AND mwehl_team = "detroit honeybaked" AND nhl_team = "philadelphia flyers" | CREATE TABLE table_name_32 (player VARCHAR, nhl_team VARCHAR, round VARCHAR, mwehl_team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2668,
41,
20846,
584,
4280,
28027,
6,
3,
29,
107,
40,
834,
11650,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
3,
51,
1123,
107,
40,
834,
11650,
584,
4280,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1959,
21680,
953,
834,
4350,
834,
2668,
549,
17444,
427,
1751,
3274,
96,
940,
121,
3430,
3,
51,
1123,
107,
40,
834,
11650,
3274,
96,
26,
15252,
155,
8591,
115,
15461,
121,
3430,
3,
29,
107,
40,
834,
11650,
3274,
9... |
What is the NHL team for Round 5 and an overall ranking of #154? | SELECT nhl_team FROM table_name_7 WHERE round = "5" AND overall = "#154" | CREATE TABLE table_name_7 (nhl_team VARCHAR, round VARCHAR, overall VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
940,
41,
29,
107,
40,
834,
11650,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
1879,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
22313,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
29,
107,
40,
834,
11650,
21680,
953,
834,
4350,
834,
940,
549,
17444,
427,
1751,
3274,
96,
17395,
3430,
1879,
3274,
96,
4663,
27308,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the MWEHL Team on Round 2, with player Nicolas Kerdiles? | SELECT mwehl_team FROM table_name_49 WHERE round = "2" AND player = "nicolas kerdiles" | CREATE TABLE table_name_49 (mwehl_team VARCHAR, round VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3647,
41,
51,
1123,
107,
40,
834,
11650,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
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,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
51,
1123,
107,
40,
834,
11650,
21680,
953,
834,
4350,
834,
3647,
549,
17444,
427,
1751,
3274,
96,
357,
121,
3430,
1959,
3274,
96,
29,
23,
12600,
7,
3,
2304,
26,
699,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-... |
Who is the player on round 7 with an overall ranking of #195? | SELECT player FROM table_name_86 WHERE round = "7" AND overall = "#195" | CREATE TABLE table_name_86 (player VARCHAR, round VARCHAR, overall VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3840,
41,
20846,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
1879,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
19,
8,
1959,
30,
1751,
489,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
3840,
549,
17444,
427,
1751,
3274,
96,
940,
121,
3430,
1879,
3274,
96,
4663,
22464,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which MWEHL team has player Ben Johnson? | SELECT mwehl_team FROM table_name_29 WHERE player = "ben johnson" | CREATE TABLE table_name_29 (mwehl_team VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
51,
1123,
107,
40,
834,
11650,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
283,
15713,
13641,
372,
65,
1959,
27... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
51,
1123,
107,
40,
834,
11650,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
1959,
3274,
96,
115,
35,
3,
27341,
739,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
How many people attended the game on week 3? | SELECT AVG(attendance) FROM table_name_26 WHERE week = 3 | CREATE TABLE table_name_26 (attendance INTEGER, week VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2688,
41,
15116,
663,
3,
21342,
17966,
6,
471,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
186,
151,
5526,
8,
467,
30,
471,
220,
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,
71,
17217,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
2688,
549,
17444,
427,
471,
3274,
220,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the Report for the School for Ages of 2-17? | SELECT report FROM table_name_10 WHERE ages = "2-17" | CREATE TABLE table_name_10 (report VARCHAR, ages VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1714,
41,
60,
1493,
584,
4280,
28027,
6,
3,
2568,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
3750,
21,
8,
1121,
21,
7526,
7,
13,
204,
107... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
934,
21680,
953,
834,
4350,
834,
1714,
549,
17444,
427,
3,
2568,
3274,
96,
357,
10794,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What are the Ages of the Seashell Trust School with Ofsted Report? | SELECT ages FROM table_name_50 WHERE report = "ofsted" AND school = "seashell trust" | CREATE TABLE table_name_50 (ages VARCHAR, report VARCHAR, school VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
2568,
584,
4280,
28027,
6,
934,
584,
4280,
28027,
6,
496,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
33,
8,
7526,
7,
13,
8,
3319,
17346,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2568,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
934,
3274,
96,
858,
6265,
121,
3430,
496,
3274,
96,
7,
15,
9,
17346,
2019,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Website of the Cheadle School for Ages 8-16? | SELECT website FROM table_name_53 WHERE ages = "8-16" AND locality = "cheadle" | CREATE TABLE table_name_53 (website VARCHAR, ages VARCHAR, locality VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4867,
41,
8398,
3585,
584,
4280,
28027,
6,
3,
2568,
584,
4280,
28027,
6,
415,
485,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
3637,
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,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
475,
21680,
953,
834,
4350,
834,
4867,
549,
17444,
427,
3,
2568,
3274,
96,
927,
10892,
121,
3430,
415,
485,
3274,
96,
75,
3313,
109,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the Website of the Cheadle Hulme School with a Report of Ofsted for Ages 4-19? | SELECT website FROM table_name_69 WHERE report = "ofsted" AND ages = "4-19" AND locality = "cheadle hulme" | CREATE TABLE table_name_69 (website VARCHAR, locality VARCHAR, report VARCHAR, ages VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
8398,
3585,
584,
4280,
28027,
6,
415,
485,
584,
4280,
28027,
6,
934,
584,
4280,
28027,
6,
3,
2568,
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,
475,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
934,
3274,
96,
858,
6265,
121,
3430,
3,
2568,
3274,
96,
591,
4481,
121,
3430,
415,
485,
3274,
96,
75,
3313,
109,
3,
107,
83,
526,
121,
1,
-100,
-100,
-100,
... |
What is the Locality of the Penarth Group School for Ages 8-16? | SELECT locality FROM table_name_90 WHERE ages = "8-16" AND school = "penarth group school" | CREATE TABLE table_name_90 (locality VARCHAR, ages VARCHAR, school VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
16882,
485,
584,
4280,
28027,
6,
3,
2568,
584,
4280,
28027,
6,
496,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
4593,
485,
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,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
415,
485,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
3,
2568,
3274,
96,
927,
10892,
121,
3430,
496,
3274,
96,
3208,
10702,
563,
496,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
WHAT IS THE SCORE OF MARCH 28? | SELECT score FROM table_name_85 WHERE date = "march 28" | CREATE TABLE table_name_85 (score VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
7,
9022,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
21665,
6827,
1853,
6508,
20888,
3347,
3,
13845,
8360,
2059,
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,
2604,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
833,
3274,
96,
51,
7064,
2059,
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 SCORE WITH VISITORS CHICAGO BLACK HAWKS ON MARCH 24? | SELECT score FROM table_name_20 WHERE visitor = "chicago black hawks" AND date = "march 24" | CREATE TABLE table_name_20 (score VARCHAR, visitor VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
7,
9022,
584,
4280,
28027,
6,
7019,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
21665,
6827,
1853,
6508,
20888,
11951,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
7019,
3274,
96,
1436,
658,
839,
1001,
3,
14400,
7,
121,
3430,
833,
3274,
96,
51,
7064,
997,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the Date for the Home team West Ham United | SELECT date FROM table_name_70 WHERE home_team = "west ham united" | CREATE TABLE table_name_70 (date VARCHAR, home_team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
5522,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
7678,
21,
8,
1210,
372,
1244,
5845,
907,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2518,
549,
17444,
427,
234,
834,
11650,
3274,
96,
12425,
3,
1483,
18279,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the score that has tie number 27 | SELECT score FROM table_name_60 WHERE tie_no = "27" | CREATE TABLE table_name_60 (score VARCHAR, tie_no VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3328,
41,
7,
9022,
584,
4280,
28027,
6,
6177,
834,
29,
32,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
2604,
24,
65,
6177,
381,
2307,
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,
2604,
21680,
953,
834,
4350,
834,
3328,
549,
17444,
427,
6177,
834,
29,
32,
3274,
96,
2555,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what is the tie number that has Portsmouth Home team | SELECT tie_no FROM table_name_52 WHERE home_team = "portsmouth" | CREATE TABLE table_name_52 (tie_no VARCHAR, home_team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
17,
23,
15,
834,
29,
32,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
6177,
381,
24,
65,
31... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6177,
834,
29,
32,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
234,
834,
11650,
3274,
96,
1493,
7,
11975,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the score of the United States, which has a to par of +5? | SELECT score FROM table_name_84 WHERE country = "united states" AND to_par = "+5" | CREATE TABLE table_name_84 (score VARCHAR, country VARCHAR, to_par VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4608,
41,
7,
9022,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
6,
12,
834,
1893,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2604,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
4608,
549,
17444,
427,
684,
3274,
96,
15129,
15,
26,
2315,
121,
3430,
12,
834,
1893,
3274,
96,
1220,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
For a record of 3-2, what team was home? | SELECT home FROM table_name_31 WHERE record = "3-2" | CREATE TABLE table_name_31 (home VARCHAR, record VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
5515,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
242,
3,
9,
1368,
13,
3,
21160,
6,
125,
372,
47,
234,
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,
234,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
1368,
3274,
96,
21160,
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 home team when the visiting team was Chicago Black Hawks, a game with a record of 0-2? | SELECT home FROM table_name_94 WHERE visitor = "chicago black hawks" AND record = "0-2" | CREATE TABLE table_name_94 (home VARCHAR, visitor VARCHAR, record VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
5515,
584,
4280,
28027,
6,
7019,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
234,
372,
116,
8,
3644,
37... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
234,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
7019,
3274,
96,
1436,
658,
839,
1001,
3,
14400,
7,
121,
3430,
1368,
3274,
96,
632,
4949,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Can you tell me total number of Silver that has the Republic of latvian ssr, and the Total larger than 6? | SELECT COUNT(silver) FROM table_name_12 WHERE republic = "latvian ssr" AND total > 6 | CREATE TABLE table_name_12 (silver VARCHAR, republic VARCHAR, total VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
7,
173,
624,
584,
4280,
28027,
6,
20237,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
1072,
25,
817,
140,
792,
381,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7,
173,
624,
61,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
20237,
3274,
96,
40,
144,
5907,
29,
3,
7,
7,
52,
121,
3430,
792,
2490,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the transfer window for the player whose status was loan ended? | SELECT transfer_window FROM table_name_55 WHERE status = "loan ended" | CREATE TABLE table_name_55 (transfer_window VARCHAR, status VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3769,
41,
7031,
1010,
834,
5165,
2381,
584,
4280,
28027,
6,
2637,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2025,
2034,
21,
8,
1959,
3,
25... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2025,
834,
5165,
2381,
21680,
953,
834,
4350,
834,
3769,
549,
17444,
427,
2637,
3274,
96,
40,
32,
152,
3492,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Who was the player with a transfer window of summer and was moving to Kortrijk? | SELECT name FROM table_name_36 WHERE transfer_window = "summer" AND moving_to = "kortrijk" | CREATE TABLE table_name_36 (name VARCHAR, transfer_window VARCHAR, moving_to VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
4350,
584,
4280,
28027,
6,
2025,
834,
5165,
2381,
584,
4280,
28027,
6,
1735,
834,
235,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
47,
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,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
2025,
834,
5165,
2381,
3274,
96,
23541,
52,
121,
3430,
1735,
834,
235,
3274,
96,
5543,
17,
52,
25548,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the status of the player who is moving to Nantes? | SELECT status FROM table_name_72 WHERE moving_to = "nantes" | CREATE TABLE table_name_72 (status VARCHAR, moving_to VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
8547,
302,
584,
4280,
28027,
6,
1735,
834,
235,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2637,
13,
8,
1959,
113,
19,
1735,
12,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2637,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
1735,
834,
235,
3274,
96,
29,
8386,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which Type has a Capacity of 28 passengers, and a Number of 16? | SELECT type FROM table_name_67 WHERE capacity = "28 passengers" AND number = "16" | CREATE TABLE table_name_67 (type VARCHAR, capacity VARCHAR, number VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3708,
41,
6137,
584,
4280,
28027,
6,
2614,
584,
4280,
28027,
6,
381,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
6632,
65,
3,
9,
4000,
9,
6726,
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,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
686,
21680,
953,
834,
4350,
834,
3708,
549,
17444,
427,
2614,
3274,
96,
2577,
9234,
121,
3430,
381,
3274,
96,
2938,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Builder has a Date smaller than 1913, and a Length of feet (m), and a Number of 15? | SELECT builder FROM table_name_15 WHERE date < 1913 AND length = "feet (m)" AND number = "15" | CREATE TABLE table_name_15 (builder VARCHAR, number VARCHAR, date VARCHAR, length VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
16422,
49,
584,
4280,
28027,
6,
381,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
6,
2475,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
1679... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
918,
49,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
833,
3,
2,
957,
2368,
3430,
2475,
3274,
96,
89,
15,
15,
17,
41,
51,
61,
121,
3430,
381,
3274,
96,
1808,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Date has a Length of feet 9inches (m), and a Builder of portland terminal company? | SELECT AVG(date) FROM table_name_3 WHERE length = "feet 9inches (m)" AND builder = "portland terminal company" | CREATE TABLE table_name_3 (date INTEGER, length VARCHAR, builder VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
519,
41,
5522,
3,
21342,
17966,
6,
2475,
584,
4280,
28027,
6,
918,
49,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
7678,
65,
3,
9,
312,
1725,
189,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
71,
17217,
599,
5522,
61,
21680,
953,
834,
4350,
834,
519,
549,
17444,
427,
2475,
3274,
96,
89,
15,
15,
17,
668,
77,
2951,
41,
51,
61,
121,
3430,
918,
49,
3274,
96,
1493,
40,
232,
7213,
349,
121,
1,
-100,
-100,
... |
Which Type has a Capacity of 10 tons, and a Number of 24-27? | SELECT type FROM table_name_22 WHERE capacity = "10 tons" AND number = "24-27" | CREATE TABLE table_name_22 (type VARCHAR, capacity VARCHAR, number VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
6137,
584,
4280,
28027,
6,
2614,
584,
4280,
28027,
6,
381,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
6632,
65,
3,
9,
4000,
9,
6726,
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,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
686,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
2614,
3274,
96,
1714,
8760,
121,
3430,
381,
3274,
96,
2266,
18,
2555,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
How many Dates have a Builder of laconia car company, and a Number of 63-68? | SELECT COUNT(date) FROM table_name_8 WHERE builder = "laconia car company" AND number = "63-68" | CREATE TABLE table_name_8 (date VARCHAR, builder VARCHAR, number VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
5522,
584,
4280,
28027,
6,
918,
49,
584,
4280,
28027,
6,
381,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
186,
7678,
7,
43,
3,
9,
16799,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
5522,
61,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
918,
49,
3274,
96,
9700,
8008,
443,
349,
121,
3430,
381,
3274,
96,
3891,
18,
3651,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the score for Billy Andrade? | SELECT score FROM table_name_73 WHERE player = "billy andrade" | CREATE TABLE table_name_73 (score VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
7,
9022,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2604,
21,
17724,
275,
15530,
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,
2604,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
1959,
3274,
96,
3727,
120,
11,
15530,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What country is Nick Price from? | SELECT country FROM table_name_35 WHERE player = "nick price" | CREATE TABLE table_name_35 (country VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2469,
41,
17529,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
684,
19,
7486,
5312,
45,
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,
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,
684,
21680,
953,
834,
4350,
834,
2469,
549,
17444,
427,
1959,
3274,
96,
11191,
594,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the to par for the player with score of 67-67=134? | SELECT to_par FROM table_name_53 WHERE score = 67 - 67 = 134 | CREATE TABLE table_name_53 (to_par VARCHAR, score VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4867,
41,
235,
834,
1893,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
12,
260,
21,
8,
1959,
28,
2604,
13,
3,
37... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
12,
834,
1893,
21680,
953,
834,
4350,
834,
4867,
549,
17444,
427,
2604,
3274,
3,
3708,
3,
18,
3,
3708,
3274,
3,
23747,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Team 1, Everton, has what as a 1st leg? | SELECT 1 AS st_leg FROM table_name_6 WHERE team_1 = "everton" | CREATE TABLE table_name_6 (team_1 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
948,
41,
11650,
834,
536,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2271,
1914,
6381,
17,
106,
6,
65,
125,
38,
3,
9,
209,
7,
17,
4553,
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,
0,
0,
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,
948,
549,
17444,
427,
372,
834,
536,
3274,
96,
15,
3027,
106,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
The 2nd leg is what for the Atlético Madrid as Team 1? | SELECT 2 AS nd_leg FROM table_name_68 WHERE team_1 = "atlético madrid" | CREATE TABLE table_name_68 (team_1 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
11650,
834,
536,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
37,
204,
727,
4553,
19,
125,
21,
8,
486,
40,
17678,
509,
12033,
38,
2271,
209,
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,
204,
6157,
3,
727,
834,
5772,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
372,
834,
536,
3274,
96,
144,
40,
17678,
509,
11454,
4055,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Fulham as Team 1 has the 2nd leg score of what? | SELECT 2 AS nd_leg FROM table_name_44 WHERE team_1 = "fulham" | CREATE TABLE table_name_44 (team_1 VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3628,
41,
11650,
834,
536,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
17978,
1483,
38,
2271,
209,
65,
8,
204,
727,
4553,
2604,
13,
125,
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,
204,
6157,
3,
727,
834,
5772,
21680,
953,
834,
4350,
834,
3628,
549,
17444,
427,
372,
834,
536,
3274,
96,
1329,
1483,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What name is for the period 1945-1949 & 1953-1954 1949-1952? | SELECT name FROM table_name_69 WHERE period = "1945-1949 & 1953-1954 1949-1952" | CREATE TABLE table_name_69 (name VARCHAR, period VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
4350,
584,
4280,
28027,
6,
1059,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
564,
19,
21,
8,
1059,
18315,
4481,
3647,
3,
184,
23726,
4481,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
564,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
1059,
3274,
96,
2294,
2128,
4481,
3647,
3,
184,
23726,
4481,
5062,
24319,
4481,
5373,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which name is on the of fc sète olympique de marseille? | SELECT name FROM table_name_39 WHERE teams = "fc sète olympique de marseille" | CREATE TABLE table_name_39 (name VARCHAR, teams VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
4350,
584,
4280,
28027,
6,
2323,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
564,
19,
30,
8,
13,
3,
89,
75,
3,
7,
9831,
3,
32,
120,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
564,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
2323,
3274,
96,
89,
75,
3,
7,
9831,
3,
32,
120,
1167,
1495,
20,
8113,
15955,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What role has the team of Troyes AC Grenoble Foot? | SELECT role FROM table_name_89 WHERE teams = "troyes ac grenoble foot" | CREATE TABLE table_name_89 (role VARCHAR, teams VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3914,
41,
3491,
15,
584,
4280,
28027,
6,
2323,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
1075,
65,
8,
372,
13,
21854,
15,
7,
5686,
3796,
35,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1075,
21680,
953,
834,
4350,
834,
3914,
549,
17444,
427,
2323,
3274,
96,
17,
8170,
15,
7,
3,
9,
75,
3,
16677,
32,
2296,
2418,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What name has the role of midfielder for 1999-2003? | SELECT name FROM table_name_76 WHERE role = "midfielder" AND period = "1999-2003" | CREATE TABLE table_name_76 (name VARCHAR, role VARCHAR, period VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
4350,
584,
4280,
28027,
6,
1075,
584,
4280,
28027,
6,
1059,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
564,
65,
8,
1075,
13,
2076,
1846,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
564,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
1075,
3274,
96,
6983,
1846,
49,
121,
3430,
1059,
3274,
96,
2294,
3264,
18,
23948,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which period has the team CS Sedan? | SELECT period FROM table_name_99 WHERE teams = "cs sedan" | CREATE TABLE table_name_99 (period VARCHAR, teams VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
4267,
32,
26,
584,
4280,
28027,
6,
2323,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
1059,
65,
8,
372,
3,
4778,
679,
3768,
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,
1059,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
2323,
3274,
96,
75,
7,
24926,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the team with the name Boumediene Abderahmane? | SELECT teams FROM table_name_48 WHERE name = "boumediene abderahmane" | CREATE TABLE table_name_48 (teams VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3707,
41,
11650,
7,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
372,
28,
8,
564,
8657,
5700,
35,
15,
891,
221,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2323,
21680,
953,
834,
4350,
834,
3707,
549,
17444,
427,
564,
3274,
96,
4076,
5700,
35,
15,
703,
221,
17475,
152,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the finishing position with 13 points? | SELECT fin_pos FROM table_name_93 WHERE points = "13" | CREATE TABLE table_name_93 (fin_pos VARCHAR, points VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
89,
77,
834,
2748,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
8619,
1102,
28,
1179,
979,
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,
2202,
834,
2748,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
979,
3274,
96,
2368,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What Driver had 50+3 Points? | SELECT driver FROM table_name_99 WHERE points = "50+3" | CREATE TABLE table_name_99 (driver VARCHAR, points VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
13739,
52,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
10546,
141,
943,
1220,
519,
4564,
7,
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,
2535,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
979,
3274,
96,
1752,
1220,
519,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When was the most recent game that he partnered with nicklas kulti and they scored 3–6, 7–6, 6–4? | SELECT MAX(date) FROM table_name_19 WHERE partner = "nicklas kulti" AND score = "3–6, 7–6, 6–4" | CREATE TABLE table_name_19 (date INTEGER, partner VARCHAR, score VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
5522,
3,
21342,
17966,
6,
2397,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
47,
8,
167,
1100,
467,
24,
3,
88,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5522,
61,
21680,
953,
834,
4350,
834,
2294,
549,
17444,
427,
2397,
3274,
96,
11191,
521,
7,
3,
10701,
17,
23,
121,
3430,
2604,
3274,
96,
519,
104,
11071,
489,
104,
11071,
431,
104,
20364,
1,
-100,
-1... |
Who did he play on a hard surface? | SELECT opponents FROM table_name_99 WHERE surface = "hard" | CREATE TABLE table_name_99 (opponents VARCHAR, surface VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
32,
102,
9977,
7,
584,
4280,
28027,
6,
1774,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
410,
3,
88,
577,
30,
3,
9,
614,
1774,
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,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
16383,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
1774,
3274,
96,
5651,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
When was his first game on a clay surface where he scored 0–6, 3–6? | SELECT MIN(date) FROM table_name_24 WHERE surface = "clay" AND score = "0–6, 3–6" | CREATE TABLE table_name_24 (date INTEGER, surface VARCHAR, score VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
5522,
3,
21342,
17966,
6,
1774,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
47,
112,
166,
467,
30,
3,
9,
14364... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5522,
61,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
1774,
3274,
96,
4651,
63,
121,
3430,
2604,
3274,
96,
632,
104,
11071,
220,
104,
948,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is the highest wickets when the matches is less than 5, player is jim laker and average is more than 52.44? | SELECT MAX(wickets) FROM table_name_89 WHERE matches < 5 AND player = "jim laker" AND average > 52.44 | CREATE TABLE table_name_89 (wickets INTEGER, average VARCHAR, matches VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3914,
41,
5981,
15,
17,
7,
3,
21342,
17966,
6,
1348,
584,
4280,
28027,
6,
6407,
584,
4280,
28027,
6,
1959,
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,
1... | [
3,
23143,
14196,
4800,
4,
599,
5981,
15,
17,
7,
61,
21680,
953,
834,
4350,
834,
3914,
549,
17444,
427,
6407,
3,
2,
305,
3430,
1959,
3274,
96,
354,
603,
50,
2304,
121,
3430,
1348,
2490,
9065,
5,
3628,
1,
-100,
-100,
-100,
-100,
-... |
what is the average when matches is less than 5 and wickets is more than 9? | SELECT average FROM table_name_26 WHERE matches < 5 AND wickets > 9 | CREATE TABLE table_name_26 (average VARCHAR, matches VARCHAR, wickets VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2688,
41,
28951,
584,
4280,
28027,
6,
6407,
584,
4280,
28027,
6,
29719,
7,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
1348,
116,
6407,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1348,
21680,
953,
834,
4350,
834,
2688,
549,
17444,
427,
6407,
3,
2,
305,
3430,
29719,
7,
2490,
668,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
what is the sum of matches when the player is jim laker and wikets is less than 9? | SELECT SUM(matches) FROM table_name_25 WHERE player = "jim laker" AND wickets < 9 | CREATE TABLE table_name_25 (matches INTEGER, player VARCHAR, wickets VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1828,
41,
19515,
15,
7,
3,
21342,
17966,
6,
1959,
584,
4280,
28027,
6,
29719,
7,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
4505,
13,
6407,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
180,
6122,
599,
19515,
15,
7,
61,
21680,
953,
834,
4350,
834,
1828,
549,
17444,
427,
1959,
3274,
96,
354,
603,
50,
2304,
121,
3430,
29719,
7,
3,
2,
668,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what is the highest wickets when the best bowling is 2/32 and matches is less than 5? | SELECT MAX(wickets) FROM table_name_33 WHERE best_bowling = "2/32" AND matches < 5 | CREATE TABLE table_name_33 (wickets INTEGER, best_bowling VARCHAR, matches VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
5981,
15,
17,
7,
3,
21342,
17966,
6,
200,
834,
17710,
697,
584,
4280,
28027,
6,
6407,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
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,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
4800,
4,
599,
5981,
15,
17,
7,
61,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
200,
834,
17710,
697,
3274,
96,
15896,
2668,
121,
3430,
6407,
3,
2,
305,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what is the highest wickets when best bowling is 5/40 and average is less than 33.09? | SELECT MAX(wickets) FROM table_name_14 WHERE best_bowling = "5/40" AND average < 33.09 | CREATE TABLE table_name_14 (wickets INTEGER, best_bowling VARCHAR, average VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2534,
41,
5981,
15,
17,
7,
3,
21342,
17966,
6,
200,
834,
17710,
697,
584,
4280,
28027,
6,
1348,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
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,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
5981,
15,
17,
7,
61,
21680,
953,
834,
4350,
834,
2534,
549,
17444,
427,
200,
834,
17710,
697,
3274,
96,
755,
87,
2445,
121,
3430,
1348,
3,
2,
5400,
5,
4198,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which player has a pick# over 47? | SELECT player FROM table_name_87 WHERE pick__number > 47 | CREATE TABLE table_name_87 (player VARCHAR, pick__number INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4225,
41,
20846,
584,
4280,
28027,
6,
1432,
834,
834,
5525,
1152,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
4073,
1959,
65,
3,
9,
1432,
4663,
147,
10635,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1959,
21680,
953,
834,
4350,
834,
4225,
549,
17444,
427,
1432,
834,
834,
5525,
1152,
2490,
10635,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Who is the player with a FB position? | SELECT player FROM table_name_2 WHERE position = "fb" | CREATE TABLE table_name_2 (player VARCHAR, position VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
20846,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
19,
8,
1959,
28,
3,
9,
3,
15586,
1102,
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,
1959,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
1102,
3274,
96,
89,
115,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the Score that has a To standard of –3, and a Player of Jim Furyk? | SELECT score FROM table_name_15 WHERE to_par = "–3" AND player = "jim furyk" | CREATE TABLE table_name_15 (score VARCHAR, to_par VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
7,
9022,
584,
4280,
28027,
6,
12,
834,
1893,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
17763,
24,
65,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
12,
834,
1893,
3274,
96,
104,
519,
121,
3430,
1959,
3274,
96,
354,
603,
4223,
63,
157,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the Country that has a Player of Scott Hoch? | SELECT country FROM table_name_31 WHERE player = "scott hoch" | CREATE TABLE table_name_31 (country VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
17529,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
6993,
24,
65,
3,
9,
12387,
13,
4972,
7341,
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,
684,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
1959,
3274,
96,
7,
10405,
6012,
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 Player that has a To standard of –4, and a Score of 74-70-68=212? | SELECT player FROM table_name_45 WHERE to_par = "–4" AND score = 74 - 70 - 68 = 212 | CREATE TABLE table_name_45 (player VARCHAR, to_par VARCHAR, score VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
20846,
584,
4280,
28027,
6,
12,
834,
1893,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
12387,
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,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
12,
834,
1893,
3274,
96,
104,
20364,
3430,
2604,
3274,
3,
4581,
3,
18,
2861,
3,
18,
3,
3651,
3274,
3,
24837,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the Score that has a To standard of –2, and a Country of Spain? | SELECT score FROM table_name_63 WHERE to_par = "–2" AND country = "spain" | CREATE TABLE table_name_63 (score VARCHAR, to_par VARCHAR, country VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3891,
41,
7,
9022,
584,
4280,
28027,
6,
12,
834,
1893,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
17763,
24,
65,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
3891,
549,
17444,
427,
12,
834,
1893,
3274,
96,
104,
357,
121,
3430,
684,
3274,
96,
14147,
77,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Score that has a Player of Ernie Els? | SELECT score FROM table_name_28 WHERE player = "ernie els" | CREATE TABLE table_name_28 (score VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
7,
9022,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
17763,
24,
65,
3,
9,
12387,
13,
262,
23752,
1289,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2577,
549,
17444,
427,
1959,
3274,
96,
15,
23752,
3,
3573,
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 Player that has a Place of t2, and a Score of 74-70-68=212? | SELECT player FROM table_name_64 WHERE place = "t2" AND score = 74 - 70 - 68 = 212 | CREATE TABLE table_name_64 (player VARCHAR, place VARCHAR, score VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
20846,
584,
4280,
28027,
6,
286,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
12387,
24,
65,
3,
9,
3399,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1959,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
286,
3274,
96,
17,
357,
121,
3430,
2604,
3274,
3,
4581,
3,
18,
2861,
3,
18,
3,
3651,
3274,
3,
24837,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is the date when the nationality is united kingdom, the type is freighter and the displacement is 5,145 t? | SELECT date FROM table_name_14 WHERE nationality = "united kingdom" AND type = "freighter" AND displacement = "5,145 t" | CREATE TABLE table_name_14 (date VARCHAR, displacement VARCHAR, nationality VARCHAR, type VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2534,
41,
5522,
584,
4280,
28027,
6,
27780,
584,
4280,
28027,
6,
1157,
485,
584,
4280,
28027,
6,
686,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
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,
1... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
2534,
549,
17444,
427,
1157,
485,
3274,
96,
15129,
15,
26,
14740,
121,
3430,
686,
3274,
96,
89,
60,
2632,
49,
121,
3430,
27780,
3274,
96,
11116,
20987,
3,
17,
121,
1,
-100,
-100,
-... |
what is the name when the displacement is 8,305 t? | SELECT name FROM table_name_12 WHERE displacement = "8,305 t" | CREATE TABLE table_name_12 (name VARCHAR, displacement VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
4350,
584,
4280,
28027,
6,
27780,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
564,
116,
8,
27780,
19,
9478,
26724,
3,
17,
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,
564,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
27780,
3274,
96,
11864,
26724,
3,
17,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the name when the type is freighter, nationality is united kingdom on 3 may 1940? | SELECT name FROM table_name_61 WHERE type = "freighter" AND nationality = "united kingdom" AND date = "3 may 1940" | CREATE TABLE table_name_61 (name VARCHAR, date VARCHAR, type VARCHAR, nationality VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
4350,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
6,
686,
584,
4280,
28027,
6,
1157,
485,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
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,
0,
0... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
686,
3274,
96,
89,
60,
2632,
49,
121,
3430,
1157,
485,
3274,
96,
15129,
15,
26,
14740,
121,
3430,
833,
3274,
96,
519,
164,
15830,
121,
1,
-100,
-100,
-100,
-... |
what is the date for tirrana? | SELECT date FROM table_name_18 WHERE name = "tirrana" | CREATE TABLE table_name_18 (date VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2606,
41,
5522,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
833,
21,
11857,
2002,
9,
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,
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,
2606,
549,
17444,
427,
564,
3274,
96,
17,
23,
52,
2002,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the name for the nationality total:? | SELECT name FROM table_name_1 WHERE nationality = "total:" | CREATE TABLE table_name_1 (name VARCHAR, nationality VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
4350,
584,
4280,
28027,
6,
1157,
485,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
564,
21,
8,
1157,
485,
792,
10,
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,
536,
549,
17444,
427,
1157,
485,
3274,
96,
235,
1947,
10,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Who is the republican Jon Huntsman that was administered June 19, 2008? | SELECT republican AS :_jon_huntsman FROM table_name_76 WHERE dates_administered = "june 19, 2008" | CREATE TABLE table_name_76 (republican VARCHAR, dates_administered VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
60,
15727,
152,
584,
4280,
28027,
6,
5128,
834,
9,
26,
17791,
15,
26,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
19,
8,
20237,
152,
817... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
20237,
152,
6157,
3,
10,
834,
15429,
834,
24963,
7,
348,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
5128,
834,
9,
26,
17791,
15,
26,
3274,
96,
6959,
15,
12370,
2628,
121,
1,
-100,
-100,
-100,
-100,
-100,
-... |
What is the most minimal Final year that has a North or east end of covington? | SELECT MIN(final_year) FROM table_name_69 WHERE north_or_east_terminus = "covington" | CREATE TABLE table_name_69 (final_year INTEGER, north_or_east_terminus VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
12406,
834,
1201,
3,
21342,
17966,
6,
3457,
834,
127,
834,
11535,
834,
6544,
302,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
167,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
12406,
834,
1201,
61,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
3457,
834,
127,
834,
11535,
834,
6544,
302,
3274,
96,
16745,
6029,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total of Final year that has a Notes of replaced by i-96? | SELECT SUM(final_year) FROM table_name_15 WHERE notes = "replaced by i-96" | CREATE TABLE table_name_15 (final_year INTEGER, notes VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
12406,
834,
1201,
3,
21342,
17966,
6,
3358,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
792,
13,
6514,
215,
24,
65,
3,
9,
2507,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
180,
6122,
599,
12406,
834,
1201,
61,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
3358,
3274,
96,
60,
4687,
26,
57,
3,
23,
18,
4314,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the most minimal Final year that has a Notes of replaced by i-75 and m-25, and a First year larger than 1926? | SELECT MIN(final_year) FROM table_name_45 WHERE notes = "replaced by i-75 and m-25" AND first_year > 1926 | CREATE TABLE table_name_45 (final_year INTEGER, notes VARCHAR, first_year VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
12406,
834,
1201,
3,
21342,
17966,
6,
3358,
584,
4280,
28027,
6,
166,
834,
1201,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
167,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
12406,
834,
1201,
61,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
3358,
3274,
96,
60,
4687,
26,
57,
3,
23,
18,
3072,
11,
3,
51,
14855,
121,
3430,
166,
834,
1201,
2490,
957,
2688,
1,
-100,
-... |
What is the average First year that has a Notes of replaced by us 12 when i-94 replaced us 12, and a Final year larger than 1961? | SELECT AVG(first_year) FROM table_name_31 WHERE notes = "replaced by us 12 when i-94 replaced us 12" AND final_year > 1961 | CREATE TABLE table_name_31 (first_year INTEGER, notes VARCHAR, final_year VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
14672,
834,
1201,
3,
21342,
17966,
6,
3358,
584,
4280,
28027,
6,
804,
834,
1201,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1348,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
14672,
834,
1201,
61,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
3358,
3274,
96,
60,
4687,
26,
57,
178,
586,
116,
3,
23,
18,
4240,
5821,
178,
586,
121,
3430,
804,
834,
1201,
2490,
21018,
1,... |
What is the number of the votes of the election before 2004 with edward mahama as the candidate with 3.0% share of votes? | SELECT number_of_votes FROM table_name_74 WHERE candidate = "edward mahama" AND election < 2004 AND share_of_votes = "3.0%" | CREATE TABLE table_name_74 (number_of_votes VARCHAR, share_of_votes VARCHAR, candidate VARCHAR, election VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4581,
41,
5525,
1152,
834,
858,
834,
1621,
1422,
584,
4280,
28027,
6,
698,
834,
858,
834,
1621,
1422,
584,
4280,
28027,
6,
4775,
584,
4280,
28027,
6,
4356,
584,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
381,
834,
858,
834,
1621,
1422,
21680,
953,
834,
4350,
834,
4581,
549,
17444,
427,
4775,
3274,
96,
15,
26,
2239,
954,
1483,
9,
121,
3430,
4356,
3,
2,
4406,
3430,
698,
834,
858,
834,
1621,
1422,
3274,
96,
5787,
693... |
What is the outcome of the election with edward mahama as a candidate and 73,494 votes? | SELECT outcome_of_election FROM table_name_31 WHERE candidate = "edward mahama" AND number_of_votes = "73,494" | CREATE TABLE table_name_31 (outcome_of_election VARCHAR, candidate VARCHAR, number_of_votes VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
670,
287,
15,
834,
858,
834,
15,
12252,
584,
4280,
28027,
6,
4775,
584,
4280,
28027,
6,
381,
834,
858,
834,
1621,
1422,
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,
6138,
834,
858,
834,
15,
12252,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
4775,
3274,
96,
15,
26,
2239,
954,
1483,
9,
121,
3430,
381,
834,
858,
834,
1621,
1422,
3274,
96,
4552,
6,
3647,
20364,
1,
-100,
-1... |
What is the earlest election with a 0.9% share of votes? | SELECT MIN(election) FROM table_name_13 WHERE share_of_votes = "0.9%" | CREATE TABLE table_name_13 (election INTEGER, share_of_votes VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2368,
41,
15,
12252,
3,
21342,
17966,
6,
698,
834,
858,
834,
1621,
1422,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
3,
2741,
40,
222,
4356,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
17684,
599,
15,
12252,
61,
21680,
953,
834,
4350,
834,
2368,
549,
17444,
427,
698,
834,
858,
834,
1621,
1422,
3274,
96,
23758,
1454,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who is the candidate with 73,494 votes? | SELECT candidate FROM table_name_41 WHERE number_of_votes = "73,494" | CREATE TABLE table_name_41 (candidate VARCHAR, number_of_votes VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4853,
41,
1608,
12416,
342,
584,
4280,
28027,
6,
381,
834,
858,
834,
1621,
1422,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
19,
8,
4775,
28,
3,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4775,
21680,
953,
834,
4350,
834,
4853,
549,
17444,
427,
381,
834,
858,
834,
1621,
1422,
3274,
96,
4552,
6,
3647,
20364,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the share of votes in the 2008 election? | SELECT share_of_votes FROM table_name_44 WHERE election = 2008 | CREATE TABLE table_name_44 (share_of_votes VARCHAR, election VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3628,
41,
12484,
834,
858,
834,
1621,
1422,
584,
4280,
28027,
6,
4356,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
698,
13,
11839,
16,
8,
26... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
698,
834,
858,
834,
1621,
1422,
21680,
953,
834,
4350,
834,
3628,
549,
17444,
427,
4356,
3274,
2628,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the number of votes of candidate edward mahama, who had 0.9% share of votes? | SELECT number_of_votes FROM table_name_82 WHERE candidate = "edward mahama" AND share_of_votes = "0.9%" | CREATE TABLE table_name_82 (number_of_votes VARCHAR, candidate VARCHAR, share_of_votes VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4613,
41,
5525,
1152,
834,
858,
834,
1621,
1422,
584,
4280,
28027,
6,
4775,
584,
4280,
28027,
6,
698,
834,
858,
834,
1621,
1422,
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,
381,
834,
858,
834,
1621,
1422,
21680,
953,
834,
4350,
834,
4613,
549,
17444,
427,
4775,
3274,
96,
15,
26,
2239,
954,
1483,
9,
121,
3430,
698,
834,
858,
834,
1621,
1422,
3274,
96,
23758,
1454,
121,
1,
-100,
-100,
... |
Which Ages have a Capacity larger than 21, and an Ofsted of 106168? | SELECT ages FROM table_name_90 WHERE capacity > 21 AND ofsted = 106168 | CREATE TABLE table_name_90 (ages VARCHAR, capacity VARCHAR, ofsted VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
2568,
584,
4280,
28027,
6,
2614,
584,
4280,
28027,
6,
13,
6265,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
7526,
7,
43,
3,
9,
4000,
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,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
2568,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
2614,
2490,
1401,
3430,
13,
6265,
3274,
3,
16431,
24274,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Ages have an Ofsted larger than 106172, and a School of oakgrove school? | SELECT ages FROM table_name_45 WHERE ofsted > 106172 AND school = "oakgrove school" | CREATE TABLE table_name_45 (ages VARCHAR, ofsted VARCHAR, school VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
2568,
584,
4280,
28027,
6,
13,
6265,
584,
4280,
28027,
6,
496,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
7526,
7,
43,
46,
1129,
6265,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
2568,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
13,
6265,
2490,
3,
16431,
27156,
3430,
496,
3274,
96,
32,
1639,
20254,
496,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Ofsted has a Capacity smaller than 56, and Ages of 11-16? | SELECT SUM(ofsted) FROM table_name_46 WHERE capacity < 56 AND ages = "11-16" | CREATE TABLE table_name_46 (ofsted INTEGER, capacity VARCHAR, ages VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4448,
41,
858,
6265,
3,
21342,
17966,
6,
2614,
584,
4280,
28027,
6,
3,
2568,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
1129,
6265,
65,
3,
9,
400... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
858,
6265,
61,
21680,
953,
834,
4350,
834,
4448,
549,
17444,
427,
2614,
3,
2,
11526,
3430,
3,
2568,
3274,
96,
2596,
10892,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which Capacity has a School of windlehurst school, and an Ofsted smaller than 131889? | SELECT SUM(capacity) FROM table_name_63 WHERE school = "windlehurst school" AND ofsted < 131889 | CREATE TABLE table_name_63 (capacity INTEGER, school VARCHAR, ofsted VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3891,
41,
4010,
9,
6726,
3,
21342,
17966,
6,
496,
584,
4280,
28027,
6,
13,
6265,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
4000,
9,
6726,
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,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
4010,
9,
6726,
61,
21680,
953,
834,
4350,
834,
3891,
549,
17444,
427,
496,
3274,
96,
5165,
109,
23765,
496,
121,
3430,
13,
6265,
3,
2,
1179,
2606,
3914,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many people attended the game when sydney spirit was at home? | SELECT crowd FROM table_name_58 WHERE home_team = "sydney spirit" | CREATE TABLE table_name_58 (crowd VARCHAR, home_team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
75,
3623,
26,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
186,
151,
5526,
8,
467,
116,
3,
7,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4374,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
234,
834,
11650,
3274,
96,
7,
63,
26,
3186,
3564,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When the crowd was greater than 19,498 who was the away team? | SELECT away_team FROM table_name_5 WHERE crowd > 19 OFFSET 498 | CREATE TABLE table_name_5 (away_team VARCHAR, crowd INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
755,
41,
8006,
834,
11650,
584,
4280,
28027,
6,
4374,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
366,
8,
4374,
47,
2123,
145,
12370,
591,
3916,
113,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
550,
834,
11650,
21680,
953,
834,
4350,
834,
755,
549,
17444,
427,
4374,
2490,
957,
3,
15316,
20788,
314,
3916,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
An attendance larger than 33,684 and an opponent of Hamilton Academical had this listed as a result? | SELECT result FROM table_name_55 WHERE opponent = "hamilton academical" AND attendance > 33 OFFSET 684 | CREATE TABLE table_name_55 (result VARCHAR, opponent VARCHAR, attendance VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3769,
41,
60,
7,
83,
17,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
6,
11364,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
389,
11364,
2186,
145,
5400,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
741,
21680,
953,
834,
4350,
834,
3769,
549,
17444,
427,
15264,
3274,
96,
1483,
23,
7377,
2705,
138,
121,
3430,
11364,
2490,
5400,
3,
15316,
20788,
431,
4608,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
When did grid 8 finish? | SELECT time_retired FROM table_name_66 WHERE grid = 8 | CREATE TABLE table_name_66 (time_retired VARCHAR, grid VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
715,
834,
10682,
1271,
584,
4280,
28027,
6,
8634,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
410,
8634,
505,
1992,
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,
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,
97,
834,
10682,
1271,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
8634,
3274,
505,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-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.