NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Find the most prominent max page size among all the products. | CREATE TABLE district (
district_id number,
district_name text,
headquartered_city text,
city_population number,
city_area number
)
CREATE TABLE store_product (
store_id number,
product_id number
)
CREATE TABLE store_district (
store_id number,
district_id number
)
CREATE TABLE st... | SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3939,
41,
3939,
834,
23,
26,
381,
6,
3939,
834,
4350,
1499,
6,
3,
27630,
834,
6726,
1499,
6,
690,
834,
9791,
7830,
381,
6,
690,
834,
498,
381,
3,
61,
3,
32102,
32103,
32102,
205,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9858,
834,
6492,
834,
7991,
21680,
556,
350,
4630,
6880,
272,
476,
9858,
834,
6492,
834,
7991,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which Points have an Opponent of calgary flames, and a January larger than 22? | CREATE TABLE table_name_90 (
points INTEGER,
opponent VARCHAR,
january VARCHAR
) | SELECT AVG(points) FROM table_name_90 WHERE opponent = "calgary flames" AND january > 22 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
979,
3,
21342,
17966,
6,
15264,
584,
4280,
28027,
6,
3,
7066,
76,
1208,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
4564,
7,
43,
46,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
15264,
3274,
96,
1489,
1478,
63,
12314,
7,
121,
3430,
3,
7066,
76,
1208,
2490,
1630,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the Player from Memphis? | CREATE TABLE table_44815 (
"Round" real,
"Pick" real,
"Player" text,
"Position" text,
"Nationality" text,
"School/Club Team" text
) | SELECT "Player" FROM table_44815 WHERE "School/Club Team" = 'memphis' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3707,
1808,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
345,
3142,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
24732,
485,
121,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
15800,
49,
121,
21680,
953,
834,
591,
3707,
1808,
549,
17444,
427,
96,
29364,
87,
254,
11158,
2271,
121,
3274,
3,
31,
526,
7656,
159,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the rank of the swimmer with a time of 2:11.83? | CREATE TABLE table_name_35 (
rank VARCHAR,
time VARCHAR
) | SELECT rank FROM table_name_35 WHERE time = "2:11.83" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2469,
41,
11003,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
11003,
13,
8,
27424,
28,
3,
9,
97,
13,
27078,
162... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11003,
21680,
953,
834,
4350,
834,
2469,
549,
17444,
427,
97,
3274,
96,
357,
10,
10032,
4591,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Who directed production code 3x6116? | CREATE TABLE table_30085 (
"\u2116" real,
"#" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text,
"U.S. viewers (million)" text
) | SELECT "Directed by" FROM table_30085 WHERE "Production code" = '3X6116' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
5426,
4433,
41,
96,
2,
76,
2658,
2938,
121,
490,
6,
96,
4663,
121,
490,
6,
96,
382,
155,
109,
121,
1499,
6,
96,
23620,
15,
26,
57,
121,
1499,
6,
96,
24965,
324,
57,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
23620,
15,
26,
57,
121,
21680,
953,
834,
5426,
4433,
549,
17444,
427,
96,
3174,
8291,
1081,
121,
3274,
3,
31,
519,
4,
4241,
2938,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which number belonged to the school team from Arizona? | CREATE TABLE table_15621965_17 (
no VARCHAR,
school_club_team VARCHAR
) | SELECT no FROM table_15621965_17 WHERE school_club_team = "Arizona" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
4056,
2294,
4122,
834,
2517,
41,
150,
584,
4280,
28027,
6,
496,
834,
13442,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
381,
36,
23629,
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,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
150,
21680,
953,
834,
1808,
4056,
2294,
4122,
834,
2517,
549,
17444,
427,
496,
834,
13442,
834,
11650,
3274,
96,
188,
13266,
106,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What State has an Opened (closing date if defunct) that shows 1960? | CREATE TABLE table_name_28 (
state VARCHAR,
opened__closing_date_if_defunct_ VARCHAR
) | SELECT state FROM table_name_28 WHERE opened__closing_date_if_defunct_ = "1960" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
538,
584,
4280,
28027,
6,
2946,
834,
834,
3903,
7,
53,
834,
5522,
834,
99,
834,
221,
25322,
17,
834,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
538,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
2946,
834,
834,
3903,
7,
53,
834,
5522,
834,
99,
834,
221,
25322,
17,
834,
3274,
96,
2294,
3328,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What's the area coordinator for the municipality with 1715 people living in it in 2010? | CREATE TABLE table_2402209_1 (area_coordinator VARCHAR, population__2010_ VARCHAR) | SELECT area_coordinator FROM table_2402209_1 WHERE population__2010_ = 1715 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
11944,
2884,
4198,
834,
536,
41,
498,
834,
509,
127,
2644,
1016,
584,
4280,
28027,
6,
2074,
834,
834,
14926,
834,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
616,
834,
509,
127,
2644,
1016,
21680,
953,
834,
11944,
2884,
4198,
834,
536,
549,
17444,
427,
2074,
834,
834,
14926,
834,
3274,
1003,
1808,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which class had a vehicle of Nissan in 2007? | CREATE TABLE table_14177 (
"Year" real,
"Class" text,
"Vehicle" text,
"Position" text,
"Stages won" text
) | SELECT "Class" FROM table_14177 WHERE "Vehicle" = 'nissan' AND "Year" = '2007' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2534,
26793,
41,
96,
476,
2741,
121,
490,
6,
96,
21486,
121,
1499,
6,
96,
553,
15,
107,
23,
2482,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
134,
6505,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
21486,
121,
21680,
953,
834,
2534,
26793,
549,
17444,
427,
96,
553,
15,
107,
23,
2482,
121,
3274,
3,
31,
29,
159,
7,
152,
31,
3430,
96,
476,
2741,
121,
3274,
3,
31,
20615,
31,
1,
-100,
-100,
-100,
-100,
-100... |
What was the time of the game on April 5? | CREATE TABLE table_name_87 (
time VARCHAR,
date VARCHAR
) | SELECT time FROM table_name_87 WHERE date = "april 5" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4225,
41,
97,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
97,
13,
8,
467,
30,
1186,
305,
58,
1,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
97,
21680,
953,
834,
4350,
834,
4225,
549,
17444,
427,
833,
3274,
96,
9,
2246,
40,
3,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many of the patients with sigmoid diverticulitis colovestical fistula/SDA as their primary disease had a hospital stay for more than 26 days? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" AND demographic.days_stay > "26" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
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,
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,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
25930,
4844,
159,
3274,
96,
134,
8834,
5365,
4309,
10826,
16174,
18679,
4254,
3177,
4555,
6,
3,
19... |
What is the Class when Wessex Trains Pink is the Livery? | CREATE TABLE table_name_90 (class VARCHAR, livery VARCHAR) | SELECT class FROM table_name_90 WHERE livery = "wessex trains pink" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
4057,
584,
4280,
28027,
6,
619,
651,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
4501,
116,
101,
7,
7,
994,
15059,
7,
12070,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
853,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
619,
651,
3274,
96,
1123,
7,
7,
994,
14053,
5571,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What country has a score of 66-73-69=208? | CREATE TABLE table_60398 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
) | SELECT "Country" FROM table_60398 WHERE "Score" = '66-73-69=208' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3328,
519,
3916,
41,
96,
345,
11706,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
3696,
260,
121,
1499,
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,
96,
10628,
651,
121,
21680,
953,
834,
3328,
519,
3916,
549,
17444,
427,
96,
134,
9022,
121,
3274,
3,
31,
3539,
18,
4552,
18,
3951,
2423,
23946,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which colle/junior/club team did Michel Boudreau play for? | CREATE TABLE table_1473672_3 (college_junior_club_team VARCHAR, player VARCHAR) | SELECT college_junior_club_team FROM table_1473672_3 WHERE player = "Michel Boudreau" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24719,
3420,
5865,
834,
519,
41,
3297,
7883,
834,
6959,
23,
127,
834,
13442,
834,
11650,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1900,
834,
6959,
23,
127,
834,
13442,
834,
11650,
21680,
953,
834,
24719,
3420,
5865,
834,
519,
549,
17444,
427,
1959,
3274,
96,
30123,
272,
20180,
402,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the round wher the fabien foret had the fastest lap and david salom was the pole position? | CREATE TABLE table_29686983_1 (round VARCHAR, fastest_lap VARCHAR, pole_position VARCHAR) | SELECT round FROM table_29686983_1 WHERE fastest_lap = "Fabien Foret" AND pole_position = "David Salom" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3166,
3651,
3951,
4591,
834,
536,
41,
7775,
584,
4280,
28027,
6,
10391,
834,
8478,
584,
4280,
28027,
6,
11148,
834,
4718,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3166,
3651,
3951,
4591,
834,
536,
549,
17444,
427,
10391,
834,
8478,
3274,
96,
17477,
23,
35,
242,
15,
17,
121,
3430,
11148,
834,
4718,
3274,
96,
308,
9,
6961,
5158,
32,
51,
121,
1,
-100,
-1... |
What is the rank number for a placing of 28.5 and a total less than 92.7? | CREATE TABLE table_55934 (
"Rank" real,
"Name" text,
"Nation" text,
"Placings" text,
"Total" real
) | SELECT COUNT("Rank") FROM table_55934 WHERE "Placings" = '28.5' AND "Total" < '92.7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3769,
4271,
591,
41,
96,
22557,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
567,
257,
121,
1499,
6,
96,
345,
9700,
53,
7,
121,
1499,
6,
96,
3696,
1947,
121,
490,
3,
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,
2847,
17161,
599,
121,
22557,
8512,
21680,
953,
834,
3769,
4271,
591,
549,
17444,
427,
96,
345,
9700,
53,
7,
121,
3274,
3,
31,
357,
19253,
31,
3430,
96,
3696,
1947,
121,
3,
2,
3,
31,
1298,
21280,
31,
1,
-100,
-1... |
Who were the co drivers past 1994 in the WSC class? | CREATE TABLE table_name_43 (
co_drivers VARCHAR,
year VARCHAR,
class VARCHAR
) | SELECT co_drivers FROM table_name_43 WHERE year > 1994 AND class = "wsc" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4906,
41,
576,
834,
13739,
52,
7,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
853,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
130,
8,
576,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
576,
834,
13739,
52,
7,
21680,
953,
834,
4350,
834,
4906,
549,
17444,
427,
215,
2490,
7520,
3430,
853,
3274,
96,
210,
7,
75,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What was the aggregate score for the match won by Brive? | CREATE TABLE table_28068063_2 (
aggregate_score VARCHAR,
winners VARCHAR
) | SELECT aggregate_score FROM table_28068063_2 WHERE winners = "Brive" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
5176,
2079,
3891,
834,
357,
41,
12955,
834,
7,
9022,
584,
4280,
28027,
6,
8969,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
12955,
2604,
21,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
12955,
834,
7,
9022,
21680,
953,
834,
2577,
5176,
2079,
3891,
834,
357,
549,
17444,
427,
8969,
3274,
96,
279,
52,
757,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the attendance in texas stadium? | CREATE TABLE table_name_86 (attendance INTEGER, venue VARCHAR) | SELECT SUM(attendance) FROM table_name_86 WHERE venue = "texas stadium" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3840,
41,
15116,
663,
3,
21342,
17966,
6,
5669,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
11364,
16,
3,
10354,
9,
7,
14939,
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,
180,
6122,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
3840,
549,
17444,
427,
5669,
3274,
96,
10354,
9,
7,
14939,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the amount of job_id , and group by attribute job_id. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY... | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2476,
41,
446,
10539,
834,
4309,
3,
4331,
4059,
599,
16968,
6,
446,
10539,
834,
382,
3177,
3765,
3,
4331,
4059,
599,
2469,
201,
3,
17684,
834,
134,
4090,
24721,
7908,
1982,
599,
11071,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
446,
10539,
834,
4309,
6,
2847,
17161,
599,
15355,
279,
834,
4309,
61,
21680,
1652,
549,
17444,
427,
454,
14132,
834,
308,
6048,
3,
2,
3,
31,
24898,
18,
5176,
16539,
31,
350,
4630,
6880,
272,
476,
446,
10539,
834,
... |
What Player has a Country of west germany? | CREATE TABLE table_name_86 (
player VARCHAR,
country VARCHAR
) | SELECT player FROM table_name_86 WHERE country = "west germany" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3840,
41,
1959,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
12387,
65,
3,
9,
6993,
13,
4653,
13692,
63,
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,
1959,
21680,
953,
834,
4350,
834,
3840,
549,
17444,
427,
684,
3274,
96,
12425,
13692,
63,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Result has a Captain 1 of louis burger, and a Date of 30 october–2 november? | CREATE TABLE table_name_53 (result VARCHAR, captain_1 VARCHAR, date VARCHAR) | SELECT result FROM table_name_53 WHERE captain_1 = "louis burger" AND date = "30 october–2 november" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4867,
41,
60,
7,
83,
17,
584,
4280,
28027,
6,
14268,
834,
536,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
3,
20119,
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,
1,
1... | [
3,
23143,
14196,
741,
21680,
953,
834,
4350,
834,
4867,
549,
17444,
427,
14268,
834,
536,
3274,
96,
40,
1063,
159,
3,
9079,
121,
3430,
833,
3274,
96,
1458,
3,
32,
75,
235,
1152,
104,
357,
3,
5326,
18247,
121,
1,
-100,
-100,
-100,
... |
What is the crowd size of the Away team, Fitzroy? | CREATE TABLE table_11945 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Crowd" FROM table_11945 WHERE "Away team" = 'fitzroy' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19993,
2128,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
254,
3623,
26,
121,
21680,
953,
834,
19993,
2128,
549,
17444,
427,
96,
188,
1343,
372,
121,
3274,
3,
31,
89,
5615,
8170,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
count the number of patients whose admission location is clinic referral/premature and procedure icd9 code is 4233? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND procedures.icd9_code = "4233" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
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,
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,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
4293,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
who are the awardees when the name of award is best agricultural film? | CREATE TABLE table_25926120_7 (awardee_s_ VARCHAR, name_of_award VARCHAR) | SELECT awardee_s_ FROM table_25926120_7 WHERE name_of_award = "Best Agricultural Film" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3390,
2688,
15518,
834,
940,
41,
9,
2239,
15,
15,
834,
7,
834,
584,
4280,
28027,
6,
564,
834,
858,
834,
9,
2239,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2760,
15,
15,
834,
7,
834,
21680,
953,
834,
357,
3390,
2688,
15518,
834,
940,
549,
17444,
427,
564,
834,
858,
834,
9,
2239,
3274,
96,
17278,
3,
24354,
3417,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Where are all of Utah's games held and how many have attended? | CREATE TABLE table_21243 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "Location Attendance" FROM table_21243 WHERE "Team" = 'Utah' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2658,
27730,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96,
21417,
3,
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,
96,
434,
32,
75,
257,
22497,
663,
121,
21680,
953,
834,
2658,
27730,
549,
17444,
427,
96,
18699,
121,
3274,
3,
31,
1265,
17,
9,
107,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Who is the opponent in a game higher than 76 on April 6? | CREATE TABLE table_name_52 (
opponent VARCHAR,
game VARCHAR,
april VARCHAR
) | SELECT opponent FROM table_name_52 WHERE game > 76 AND april = 6 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
15264,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
6,
3,
9,
2246,
40,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
19,
8,
15264,
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,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
467,
2490,
3,
3959,
3430,
3,
9,
2246,
40,
3274,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Find the number of routes that have destination John F Kennedy International Airport. | CREATE TABLE airlines (
alid number,
name text,
iata text,
icao text,
callsign text,
country text,
active text
)
CREATE TABLE routes (
rid number,
dst_apid number,
dst_ap text,
src_apid number,
src_ap text,
alid number,
airline text,
codeshare text
)
CREATE ... | SELECT COUNT(*) FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid WHERE T1.name = 'John F Kennedy International Airport' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
19184,
41,
3,
9,
8130,
381,
6,
564,
1499,
6,
3,
17221,
1499,
6,
3,
2617,
32,
1499,
6,
580,
6732,
1499,
6,
684,
1499,
6,
1676,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1935,
61,
21680,
3761,
7,
6157,
332,
536,
3,
15355,
3162,
9729,
6157,
332,
357,
9191,
332,
5411,
9,
12417,
3274,
332,
4416,
26,
7,
17,
834,
9,
12417,
549,
17444,
427,
332,
5411,
4350,
3274,
3,
31... |
What title was watched by 3.8 million US viewers? | CREATE TABLE table_28695 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text,
"U.S. viewers (millions)" text
) | SELECT "Title" FROM table_28695 WHERE "U.S. viewers (millions)" = '3.8' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3840,
3301,
41,
96,
4168,
5,
16,
939,
121,
490,
6,
96,
4168,
5,
16,
774,
121,
490,
6,
96,
382,
155,
109,
121,
1499,
6,
96,
23620,
15,
26,
57,
121,
1499,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
382,
155,
109,
121,
21680,
953,
834,
357,
3840,
3301,
549,
17444,
427,
96,
1265,
5,
134,
5,
13569,
41,
17030,
7,
61,
121,
3274,
3,
31,
26195,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What date was at Oakland-Alameda County Coliseum with a time of 3:40 and a game less than 5? | CREATE TABLE table_name_6 (date VARCHAR, time VARCHAR, game VARCHAR, location VARCHAR) | SELECT date FROM table_name_6 WHERE game < 5 AND location = "oakland-alameda county coliseum" AND time = "3:40" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
948,
41,
5522,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
833,
47,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
948,
549,
17444,
427,
467,
3,
2,
305,
3430,
1128,
3274,
96,
32,
1639,
40,
232,
18,
138,
9,
2726,
9,
5435,
3,
9044,
7,
15,
440,
121,
3430,
97,
3274,
96,
519,
10,
2445,
121,
1,
... |
in what year did the colors red and gold join? | CREATE TABLE table_20887670_1 (
year_joined VARCHAR,
colors VARCHAR
) | SELECT COUNT(year_joined) FROM table_20887670_1 WHERE colors = "Red and Gold" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1755,
4060,
3959,
2518,
834,
536,
41,
215,
834,
1927,
630,
26,
584,
4280,
28027,
6,
2602,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
16,
125,
215,
410,
8,
2602... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
1201,
834,
1927,
630,
26,
61,
21680,
953,
834,
1755,
4060,
3959,
2518,
834,
536,
549,
17444,
427,
2602,
3274,
96,
1649,
26,
11,
2540,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the livery of the locomotive with a serial number 83-1010? | CREATE TABLE table_name_33 (
livery VARCHAR,
serial_no VARCHAR
) | SELECT livery FROM table_name_33 WHERE serial_no = "83-1010" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
619,
651,
584,
4280,
28027,
6,
10501,
834,
29,
32,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
619,
651,
13,
8,
31301,
28,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
619,
651,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
10501,
834,
29,
32,
3274,
96,
4591,
4536,
1714,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What's the time for the match with a record of 2-0? | CREATE TABLE table_name_74 (time VARCHAR, record VARCHAR) | SELECT time FROM table_name_74 WHERE record = "2-0" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4581,
41,
715,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
31,
7,
8,
97,
21,
8,
1588,
28,
3,
9,
1368,
13,
3,
19423,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
97,
21680,
953,
834,
4350,
834,
4581,
549,
17444,
427,
1368,
3274,
96,
19423,
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 is the total number of high rebounds for minnesota? | CREATE TABLE table_22879262_7 (high_rebounds VARCHAR, team VARCHAR) | SELECT COUNT(high_rebounds) FROM table_22879262_7 WHERE team = "Minnesota" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2884,
4225,
4508,
4056,
834,
940,
41,
6739,
834,
23768,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
792,
381,
13,
306,
3,
237... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
6739,
834,
23768,
61,
21680,
953,
834,
2884,
4225,
4508,
4056,
834,
940,
549,
17444,
427,
372,
3274,
96,
12858,
1496,
32,
17,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Portuguese name of the film who's English title is, Belle Toujours? | CREATE TABLE table_24786 (
"Year (Ceremony)" text,
"English title" text,
"Portuguese title" text,
"Director" text,
"Result" text
) | SELECT "Portuguese title" FROM table_24786 WHERE "English title" = 'Belle Toujours' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
4177,
3840,
41,
96,
476,
2741,
41,
254,
49,
15,
21208,
61,
121,
1499,
6,
96,
26749,
2233,
121,
1499,
6,
96,
14714,
76,
15991,
15,
2233,
121,
1499,
6,
96,
23620,
127,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
14714,
76,
15991,
15,
2233,
121,
21680,
953,
834,
357,
4177,
3840,
549,
17444,
427,
96,
26749,
2233,
121,
3274,
3,
31,
279,
693,
3,
31511,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who wrote the title with the production code is 7acx08? | CREATE TABLE table_22269839_1 (
written_by VARCHAR,
production_code VARCHAR
) | SELECT written_by FROM table_22269839_1 WHERE production_code = "7ACX08" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2884,
2688,
3916,
3288,
834,
536,
41,
1545,
834,
969,
584,
4280,
28027,
6,
999,
834,
4978,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
2832,
8,
2233,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1545,
834,
969,
21680,
953,
834,
2884,
2688,
3916,
3288,
834,
536,
549,
17444,
427,
999,
834,
4978,
3274,
96,
940,
5173,
4,
4018,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What date did the away team Bristol Rovers play? | CREATE TABLE table_9137 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
) | SELECT "Date" FROM table_9137 WHERE "Away team" = 'bristol rovers' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4729,
4118,
41,
96,
382,
23,
15,
150,
121,
1499,
6,
96,
19040,
372,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
308,
342,
121,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
308,
342,
121,
21680,
953,
834,
4729,
4118,
549,
17444,
427,
96,
188,
1343,
372,
121,
3274,
3,
31,
115,
17149,
40,
3,
8843,
277,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Competition has a Score of 0-1, and Opponents of pkns fc? | CREATE TABLE table_75462 (
"Date" text,
"Venue" text,
"Opponents" text,
"Score" text,
"Competition" text
) | SELECT "Competition" FROM table_75462 WHERE "Score" = '0-1' AND "Opponents" = 'pkns fc' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3072,
4448,
357,
41,
96,
308,
342,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
667,
102,
9977,
7,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
5890,
4995,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
5890,
4995,
4749,
121,
21680,
953,
834,
3072,
4448,
357,
549,
17444,
427,
96,
134,
9022,
121,
3274,
3,
31,
632,
2292,
31,
3430,
96,
667,
102,
9977,
7,
121,
3274,
3,
31,
102,
157,
29,
7,
3,
89,
75,
31,
1,
... |
Name the broadcast date for 6.0 viewers | CREATE TABLE table_2102782_1 (
broadcast_date VARCHAR,
viewers__in_millions_ VARCHAR
) | SELECT broadcast_date FROM table_2102782_1 WHERE viewers__in_millions_ = "6.0" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
15239,
2555,
4613,
834,
536,
41,
6878,
834,
5522,
584,
4280,
28027,
6,
13569,
834,
834,
77,
834,
17030,
7,
834,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
6878,
834,
5522,
21680,
953,
834,
15239,
2555,
4613,
834,
536,
549,
17444,
427,
13569,
834,
834,
77,
834,
17030,
7,
834,
3274,
96,
22642,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is Chesterfield Spires average? | CREATE TABLE table_21991074_1 (average VARCHAR, club VARCHAR) | SELECT average FROM table_21991074_1 WHERE club = "Chesterfield Spires" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
19479,
1714,
4581,
834,
536,
41,
28951,
584,
4280,
28027,
6,
1886,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
20976,
1846,
2526,
2060,
7,
1348,
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,
1348,
21680,
953,
834,
357,
19479,
1714,
4581,
834,
536,
549,
17444,
427,
1886,
3274,
96,
254,
88,
1370,
1846,
2526,
2060,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Name the most number for charvez davis | CREATE TABLE table_25360865_1 (_number INTEGER, name VARCHAR) | SELECT MAX(_number) FROM table_25360865_1 WHERE name = "Charvez Davis" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1828,
3420,
4018,
4122,
834,
536,
41,
834,
5525,
1152,
3,
21342,
17966,
6,
564,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
167,
381,
21,
3,
4059,
6071,
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,
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,
834,
5525,
1152,
61,
21680,
953,
834,
1828,
3420,
4018,
4122,
834,
536,
549,
17444,
427,
564,
3274,
96,
18947,
6071,
8688,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What torque does daewoo have? | CREATE TABLE table_36522 (
"Name" text,
"Capacity" text,
"Type" text,
"Power" text,
"Torque" text
) | SELECT "Torque" FROM table_36522 WHERE "Type" = 'daewoo' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
10402,
2884,
41,
96,
23954,
121,
1499,
6,
96,
19566,
9,
6726,
121,
1499,
6,
96,
25160,
121,
1499,
6,
96,
23553,
121,
1499,
6,
96,
382,
127,
835,
121,
1499,
3,
61,
3,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
96,
382,
127,
835,
121,
21680,
953,
834,
10402,
2884,
549,
17444,
427,
96,
25160,
121,
3274,
3,
31,
26,
9,
15,
14952,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the result for Gold Coast when Melbourne and Sydney are yes, while Auckland and Perth are no? | CREATE TABLE table_name_8 (gold_coast VARCHAR, perth VARCHAR, auckland VARCHAR, melbourne VARCHAR, sydney VARCHAR) | SELECT gold_coast FROM table_name_8 WHERE melbourne = "yes" AND sydney = "yes" AND auckland = "no" AND perth = "no" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
14910,
834,
25500,
584,
4280,
28027,
6,
399,
189,
584,
4280,
28027,
6,
3,
9,
4636,
40,
232,
584,
4280,
28027,
6,
3,
2341,
26255,
584,
4280,
28027,
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,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2045,
834,
25500,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
3,
2341,
26255,
3274,
96,
10070,
121,
3430,
3,
7,
63,
26,
3186,
3274,
96,
10070,
121,
3430,
3,
9,
4636,
40,
232,
3274,
96,
29,
32,
121,
3430,
3... |
What is the lowest Score when the Country is canada? | CREATE TABLE table_44312 (
"Place" text,
"Player" text,
"Country" text,
"Score" real,
"To par" text
) | SELECT MIN("Score") FROM table_44312 WHERE "Country" = 'canada' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3628,
519,
2122,
41,
96,
345,
11706,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
134,
9022,
121,
490,
6,
96,
3696,
260,
121,
1499,
3,
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,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
121,
134,
9022,
8512,
21680,
953,
834,
3628,
519,
2122,
549,
17444,
427,
96,
10628,
651,
121,
3274,
3,
31,
658,
18089,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what are the number of ivy league institutions ? | CREATE TABLE table_203_610 (
id number,
"institution" text,
"location" text,
"nickname" text,
"founded" number,
"historical affiliation" text,
"enrollment" number,
"primary conference" text
) | SELECT COUNT("institution") FROM table_203_610 WHERE "primary conference" = 'ivy league' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
27097,
41,
3,
23,
26,
381,
6,
96,
77,
17448,
121,
1499,
6,
96,
14836,
121,
1499,
6,
96,
11191,
4350,
121,
1499,
6,
96,
23329,
121,
381,
6,
96,
28005,
138,
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,
2847,
17161,
599,
121,
77,
17448,
8512,
21680,
953,
834,
23330,
834,
27097,
549,
17444,
427,
96,
8234,
1208,
2542,
121,
3274,
3,
31,
23,
208,
63,
5533,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which county includes Himco Dump? | CREATE TABLE table_5707 (
"CERCLIS ID" text,
"Name" text,
"County" text,
"Proposed" text,
"Listed" text,
"Construction completed" text,
"Partially deleted" text,
"Deleted" text
) | SELECT "County" FROM table_5707 WHERE "Name" = 'himco dump' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3436,
4560,
41,
96,
4770,
4902,
25769,
4699,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
10628,
63,
121,
1499,
6,
96,
3174,
12151,
121,
1499,
6,
96,
28886,
121,
1499,
6,
9... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
10628,
63,
121,
21680,
953,
834,
3436,
4560,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
10813,
509,
11986,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Away team at the game with a Score of 1 0 and Attendance of 1,791? | CREATE TABLE table_63659 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Attendance" text
) | SELECT "Away team" FROM table_63659 WHERE "Score" = '1 – 0' AND "Attendance" = '1,791' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
948,
3420,
3390,
41,
96,
382,
23,
15,
150,
121,
1499,
6,
96,
19040,
372,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
17,
324,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
188,
1343,
372,
121,
21680,
953,
834,
948,
3420,
3390,
549,
17444,
427,
96,
134,
9022,
121,
3274,
3,
31,
536,
3,
104,
3,
632,
31,
3430,
96,
188,
17,
324,
26,
663,
121,
3274,
3,
31,
4347,
4440,
536,
31,
1,
... |
How many lap two's did marco andretti do? | CREATE TABLE table_2756 (
"Pos" text,
"##" real,
"Name" text,
"Team" text,
"Lap One" text,
"Lap Two" text,
"Lap Three" text,
"Lap Four" text,
"Total Time" text,
"Avg. Speed" text
) | SELECT COUNT("Lap Two") FROM table_2756 WHERE "Name" = 'Marco Andretti' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
4834,
41,
96,
345,
32,
7,
121,
1499,
6,
96,
30345,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
3612,
102,
555,
121,
1499,
6,
96,
3612,
102,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
121,
3612,
102,
2759,
8512,
21680,
953,
834,
2555,
4834,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
7286,
509,
275,
52,
10652,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which patients had a quantitative g6pd lab test and were admitted before the year 2114? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2114" AND lab.label = "Quantitative G6PD" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
How many years is ur sulcus listed with a diameter less than 1,145.0? | CREATE TABLE table_name_68 (year_named VARCHAR, name VARCHAR, diameter VARCHAR) | SELECT COUNT(year_named) FROM table_name_68 WHERE name = "ur sulcus" AND diameter < 1 OFFSET 145.0 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
1201,
834,
4350,
26,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
6,
9260,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
203,
19,
3,
45... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1201,
834,
4350,
26,
61,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
564,
3274,
96,
450,
3,
7,
83,
1071,
7,
121,
3430,
9260,
3,
2,
209,
3,
15316,
20788,
968,
20734,
1,
-100,
-100,
-100,
... |
Which venue did North Melbourne play away with a crowd greater than 30,000? | CREATE TABLE table_12034 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Venue" FROM table_12034 WHERE "Crowd" > '30,000' AND "Away team" = 'north melbourne' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
15518,
3710,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
553,
35,
76,
15,
121,
21680,
953,
834,
15518,
3710,
549,
17444,
427,
96,
254,
3623,
26,
121,
2490,
3,
31,
17093,
31,
3430,
96,
188,
1343,
372,
121,
3274,
3,
31,
29,
127,
189,
3,
2341,
26255,
31,
1,
-100,
-... |
What was the record for the October 16 game? | CREATE TABLE table_27537518_4 (
record VARCHAR,
date VARCHAR
) | SELECT record FROM table_27537518_4 WHERE date = "October 16" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25988,
22954,
2606,
834,
591,
41,
1368,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
1368,
21,
8,
1797,
898,
467,
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,
1368,
21680,
953,
834,
25988,
22954,
2606,
834,
591,
549,
17444,
427,
833,
3274,
96,
28680,
898,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the average number of international passengers of all airports? | CREATE TABLE airport_aircraft (
id number,
airport_id number,
aircraft_id number
)
CREATE TABLE pilot (
pilot_id number,
name text,
age number
)
CREATE TABLE aircraft (
aircraft_id number,
aircraft text,
description text,
max_gross_weight text,
total_disk_area text,
max... | SELECT AVG(international_passengers) FROM airport | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3761,
834,
2256,
6696,
41,
3,
23,
26,
381,
6,
3761,
834,
23,
26,
381,
6,
6442,
834,
23,
26,
381,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
4487,
41,
4487,
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,
71,
17217,
599,
27817,
834,
3968,
4606,
277,
61,
21680,
3761,
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,
-100,
-100... |
What is the total number of Second, when First is greater than 18, when Season is 1992-93, and when Premier is greater than 16? | CREATE TABLE table_name_5 (second VARCHAR, premier VARCHAR, first VARCHAR, season VARCHAR) | SELECT COUNT(second) FROM table_name_5 WHERE first > 18 AND season = "1992-93" AND premier > 16 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
755,
41,
12091,
584,
4280,
28027,
6,
2761,
584,
4280,
28027,
6,
166,
584,
4280,
28027,
6,
774,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
12091,
61,
21680,
953,
834,
4350,
834,
755,
549,
17444,
427,
166,
2490,
507,
3430,
774,
3274,
96,
19479,
7412,
4271,
121,
3430,
2761,
2490,
898,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the result on week 1? | CREATE TABLE table_name_27 (
result VARCHAR,
week VARCHAR
) | SELECT result FROM table_name_27 WHERE week = 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2555,
41,
741,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
741,
30,
471,
209,
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,
741,
21680,
953,
834,
4350,
834,
2555,
549,
17444,
427,
471,
3274,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What athlete has a wind number of 1.4? | CREATE TABLE table_59432 (
"Mark" text,
"Wind*" text,
"Athlete" text,
"Nationality" text,
"Venue" text,
"Date" text
) | SELECT "Athlete" FROM table_59432 WHERE "Wind*" = '1.4' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3390,
591,
2668,
41,
96,
19762,
121,
1499,
6,
96,
18455,
26,
1935,
121,
1499,
6,
96,
188,
189,
1655,
15,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
553,
35,
76,
15... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
188,
189,
1655,
15,
121,
21680,
953,
834,
3390,
591,
2668,
549,
17444,
427,
96,
18455,
26,
1935,
121,
3274,
3,
31,
14912,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of first_name and employee_id , and sort bars from high to low order please. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25... | SELECT FIRST_NAME, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY FIRST_NAME DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2476,
41,
446,
10539,
834,
4309,
3,
4331,
4059,
599,
16968,
6,
446,
10539,
834,
382,
3177,
3765,
3,
4331,
4059,
599,
2469,
201,
3,
17684,
834,
134,
4090,
24721,
7908,
1982,
599,
11071,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
30085,
834,
567,
17683,
6,
262,
5244,
5017,
476,
5080,
834,
4309,
21680,
1652,
549,
17444,
427,
4486,
3396,
19846,
11810,
834,
4309,
3388,
41,
23143,
14196,
3396,
19846,
11810,
834,
4309,
21680,
10521,
549,
17444,
427,
... |
Which series occurred in which the semi-finalist was runner-up and the 7800.00 was 6420.00? | CREATE TABLE table_2544694_3 (
indonesia_super_series_2008 VARCHAR,
runner_up VARCHAR
) | SELECT indonesia_super_series_2008 FROM table_2544694_3 WHERE runner_up = "Semi-Finalist" AND 780000 = "6420.00" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1828,
3628,
3951,
591,
834,
519,
41,
16,
2029,
15,
7,
23,
9,
834,
21771,
834,
10833,
7,
834,
16128,
584,
4280,
28027,
6,
3,
10806,
834,
413,
584,
4280,
28027,
3,
61,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
16,
2029,
15,
7,
23,
9,
834,
21771,
834,
10833,
7,
834,
16128,
21680,
953,
834,
1828,
3628,
3951,
591,
834,
519,
549,
17444,
427,
3,
10806,
834,
413,
3274,
96,
134,
15,
51,
23,
18,
371,
10270,
343,
121,
3430,
3,... |
whats the sex of patient 012-169? | CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugst... | SELECT DISTINCT patient.gender FROM patient WHERE patient.uniquepid = '012-169' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8209,
41,
8209,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
8209,
4350,
1499,
6,
8209,
715,
97,
6,
3,
447,
26,
1298,
4978,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15438,
25424,
6227,
1868,
5,
122,
3868,
21680,
1868,
549,
17444,
427,
1868,
5,
202,
1495,
12417,
3274,
3,
31,
4542,
17234,
3951,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What country was the player with the score line 69-71-72-69=281 from? | CREATE TABLE table_name_6 (country VARCHAR, score VARCHAR) | SELECT country FROM table_name_6 WHERE score = 69 - 71 - 72 - 69 = 281 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
948,
41,
17529,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
684,
47,
8,
1959,
28,
8,
2604,
689,
3,
3951,
18,
4450,
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,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
684,
21680,
953,
834,
4350,
834,
948,
549,
17444,
427,
2604,
3274,
3,
3951,
3,
18,
3,
4450,
3,
18,
9455,
3,
18,
3,
3951,
3274,
204,
4959,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the number of patients whose ethnicity is black/african american and item id is 51363? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND lab.itemid = "51363" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
what is admission type and days of hospital stay of subject name charley pescatore? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT demographic.admission_type, demographic.days_stay FROM demographic WHERE demographic.name = "Charley Pescatore" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
14798,
5,
9,
26,
5451,
834,
6137,
6,
14798,
5,
1135,
7,
834,
21545,
21680,
14798,
549,
17444,
427,
14798,
5,
4350,
3274,
96,
18947,
1306,
276,
1579,
1016,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What are the different ids and names of the stations that have had more than 12 bikes available. Plot them as bar chart. | CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
... | SELECT name, id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2478,
41,
3,
23,
26,
3,
21342,
17966,
6,
564,
3,
3463,
4,
382,
6,
50,
17,
13046,
13098,
4666,
6,
307,
13046,
13098,
4666,
6,
12908,
834,
13362,
3,
21342,
17966,
6,
690,
3,
3463,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
564,
6,
3,
23,
26,
21680,
2478,
6157,
332,
536,
3,
15355,
3162,
2637,
6157,
332,
357,
9191,
332,
5411,
23,
26,
3274,
332,
4416,
6682,
834,
23,
26,
549,
17444,
427,
332,
4416,
15214,
7,
834,
28843,
2490,
586,
1,
... |
what is the year for player is derrick favors? | CREATE TABLE table_17097 (
"Year" text,
"Player" text,
"School" text,
"Hometown" text,
"College" text,
"NBA Draft" text
) | SELECT "Year" FROM table_17097 WHERE "Player" = 'Derrick Favors' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
536,
2518,
4327,
41,
96,
476,
2741,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
29364,
121,
1499,
6,
96,
19040,
3540,
121,
1499,
6,
96,
9939,
7883,
121,
1499,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
476,
2741,
121,
21680,
953,
834,
536,
2518,
4327,
549,
17444,
427,
96,
15800,
49,
121,
3274,
3,
31,
308,
49,
5206,
16717,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the result of the game that was played on Nov. 26, 1972? | CREATE TABLE table_21667 (
"Week" real,
"Date" text,
"Opponent" text,
"Stadium" text,
"Result" text,
"Record" text,
"Streak" text,
"Attendance" real
) | SELECT "Result" FROM table_21667 WHERE "Date" = 'Nov. 26' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27184,
3708,
41,
96,
518,
10266,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
134,
17,
9,
12925,
121,
1499,
6,
96,
20119,
121,
1499,
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,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
20119,
121,
21680,
953,
834,
27184,
3708,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
4168,
208,
5,
2208,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Name the score for september 11 | CREATE TABLE table_name_48 (score VARCHAR, date VARCHAR) | SELECT score FROM table_name_48 WHERE date = "september 11" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3707,
41,
7,
9022,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
2604,
21,
16022,
18247,
850,
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,
2604,
21680,
953,
834,
4350,
834,
3707,
549,
17444,
427,
833,
3274,
96,
7,
6707,
18247,
850,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who was the opponent before week 3 and a result of w 28-6? | CREATE TABLE table_8117 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
) | SELECT "Opponent" FROM table_8117 WHERE "Week" < '3' AND "Result" = 'w 28-6' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4959,
2517,
41,
96,
518,
10266,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
188,
17,
324,
26,
663,
121,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
667,
102,
9977,
121,
21680,
953,
834,
4959,
2517,
549,
17444,
427,
96,
518,
10266,
121,
3,
2,
3,
31,
519,
31,
3430,
96,
20119,
121,
3274,
3,
31,
210,
2059,
5783,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Name the listed owner for mike garvey | CREATE TABLE table_24535095_2 (listed_owner_s_ VARCHAR, crew_chief VARCHAR) | SELECT listed_owner_s_ FROM table_24535095_2 WHERE crew_chief = "Mike Garvey" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
2128,
16975,
3301,
834,
357,
41,
19279,
834,
13238,
834,
7,
834,
584,
4280,
28027,
6,
4627,
834,
20053,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
261... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2616,
834,
13238,
834,
7,
834,
21680,
953,
834,
357,
2128,
16975,
3301,
834,
357,
549,
17444,
427,
4627,
834,
20053,
3274,
96,
329,
5208,
3121,
162,
63,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
calculate the average age of unmarried patients born after 2087. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.dob_year > "2087" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14798,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
564,
1499,
6,
2774,
1947,
834,
8547,
302,
1499,
6,
1246,
1499,
6,
103,
115,
1499,
6,
7285,
1499,
6,
1612,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
1635,
9538,
834,
8547,
302,
3274,
96,
134,
2365,
3765,
121,
3430,
14798,
5,
26,
32,
115,
834,
1201,
2490,
96,
1755,
4225,
121,
1,
-... |
What is Opponent, when Result is Win, and when Date is Aug 7? | CREATE TABLE table_49108 (
"Week" real,
"Date" text,
"Opponent" text,
"Score" text,
"Result" text,
"Attendance" text,
"Record" text
) | SELECT "Opponent" FROM table_49108 WHERE "Result" = 'win' AND "Date" = 'aug 7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3647,
16169,
41,
96,
518,
10266,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
667,
102,
9977,
121,
21680,
953,
834,
3647,
16169,
549,
17444,
427,
96,
20119,
121,
3274,
3,
31,
3757,
31,
3430,
96,
308,
342,
121,
3274,
3,
31,
402,
122,
489,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What state has an interview of 8.313 (8) ? | CREATE TABLE table_20636 (
"State" text,
"Preliminary Average" text,
"Interview" text,
"Swimsuit" text,
"Evening Gown" text,
"Semifinal Average" text
) | SELECT "State" FROM table_20636 WHERE "Interview" = '8.313 (8)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24643,
3420,
41,
96,
134,
4748,
121,
1499,
6,
96,
10572,
4941,
77,
1208,
23836,
121,
1499,
6,
96,
17555,
4576,
121,
1499,
6,
96,
134,
210,
603,
7628,
121,
1499,
6,
96,
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,
96,
134,
4748,
121,
21680,
953,
834,
24643,
3420,
549,
17444,
427,
96,
17555,
4576,
121,
3274,
3,
31,
927,
5,
519,
2368,
3,
28007,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who was the Democratic incumbent in the South Carolina 5 District? | CREATE TABLE table_name_84 (
incumbent VARCHAR,
party VARCHAR,
district VARCHAR
) | SELECT incumbent FROM table_name_84 WHERE party = "democratic" AND district = "south carolina 5" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4608,
41,
28406,
584,
4280,
28027,
6,
1088,
584,
4280,
28027,
6,
3939,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
10021,
28406,
16,
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,
28406,
21680,
953,
834,
4350,
834,
4608,
549,
17444,
427,
1088,
3274,
96,
23319,
447,
121,
3430,
3939,
3274,
96,
7,
670,
107,
443,
12057,
9,
3,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How many female patients have been diagnosed with syncope telemetry? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "SYNCOPE;TELEMETRY" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
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,
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,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
122,
3868,
3274,
96,
371,
121,
3430,
14798,
5,
25930,
4844,
159,
3274,
96,
134,
476,
567,
25032,
... |
Which Surface has an Opponent(s) of anna-lena gr nefeld tatjana malek? | CREATE TABLE table_61899 (
"Year" real,
"Edition" text,
"Round" text,
"Date" text,
"Location" text,
"Surface" text,
"Against" text,
"Opponent(s)" text,
"Score" text,
"Result" text
) | SELECT "Surface" FROM table_61899 WHERE "Opponent(s)" = 'anna-lena grönefeld tatjana malek' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
948,
2606,
3264,
41,
96,
476,
2741,
121,
490,
6,
96,
427,
10569,
121,
1499,
6,
96,
448,
32,
1106,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
134,
450,
4861,
121,
21680,
953,
834,
948,
2606,
3264,
549,
17444,
427,
96,
667,
102,
9977,
599,
7,
61,
121,
3274,
3,
31,
10878,
18,
40,
35,
9,
3542,
11431,
15,
5003,
3,
17,
144,
7066,
9,
5069,
157,
31,
1,... |
What is the highest number of wins? | CREATE TABLE table_26609690_1 (wins INTEGER) | SELECT MAX(wins) FROM table_26609690_1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2688,
3328,
4314,
2394,
834,
536,
41,
3757,
7,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
381,
13,
9204,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4800,
4,
599,
3757,
7,
61,
21680,
953,
834,
2688,
3328,
4314,
2394,
834,
536,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Papers about feature engineering | CREATE TABLE field (
fieldid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
... | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'feature engineering' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1057,
41,
1057,
23,
26,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
1040,
41,
1040,
23,
26,
16,
17,
6,
2233,
3,
4331,
4059,
6,
5669,
23,
26,
16,
17,
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,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
1040,
5,
19587,
23,
26,
21680,
843,
27111,
6,
1040,
6,
1040,
4397,
27111,
549,
17444,
427,
843,
27111,
5,
4397,
27111,
4350,
3274,
3,
31,
30844,
3867,
31,
3430,
1040,
4397,
27111,
5,
4397,
271... |
When was the game with 13-5-6 record played? | CREATE TABLE table_23308178_5 (
date VARCHAR,
record VARCHAR
) | SELECT date FROM table_23308178_5 WHERE record = "13-5-6" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20879,
4018,
27640,
834,
755,
41,
833,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
366,
47,
8,
467,
28,
209,
18366,
5783,
1368,
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,
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,
20879,
4018,
27640,
834,
755,
549,
17444,
427,
1368,
3274,
96,
2368,
4525,
5783,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What IHSAA clas is the school with a county number of 12 clinton and the hornets as their mascot? | CREATE TABLE table_name_80 (ihsaa_class VARCHAR, _number___county VARCHAR, mascot VARCHAR) | SELECT ihsaa_class FROM table_name_80 WHERE _number___county = "12 clinton" AND mascot = "hornets" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
23,
107,
7,
9,
9,
834,
4057,
584,
4280,
28027,
6,
3,
834,
5525,
1152,
834,
834,
834,
13362,
63,
584,
4280,
28027,
6,
3,
2754,
4310,
584,
4280,
28027,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
23,
107,
7,
9,
9,
834,
4057,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
3,
834,
5525,
1152,
834,
834,
834,
13362,
63,
3274,
96,
2122,
3,
14758,
6992,
121,
3430,
3,
2754,
4310,
3274,
96,
6293,
15,
17,
... |
Where was the game played when the high assists were scored by billups , stuckey (4)? | CREATE TABLE table_11960944_11 (location_attendance VARCHAR, high_assists VARCHAR) | SELECT location_attendance FROM table_11960944_11 WHERE high_assists = "Billups , Stuckey (4)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2596,
4314,
4198,
3628,
834,
2596,
41,
14836,
834,
15116,
663,
584,
4280,
28027,
6,
306,
834,
6500,
7,
17,
7,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2840,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1128,
834,
15116,
663,
21680,
953,
834,
2596,
4314,
4198,
3628,
834,
2596,
549,
17444,
427,
306,
834,
6500,
7,
17,
7,
3274,
96,
279,
1092,
413,
7,
3,
6,
472,
4636,
15,
63,
3,
10820,
121,
1,
-100,
-100,
-100,
-10... |
What song is it that artist morena camilleri does and has more than 38 points | CREATE TABLE table_37229 (
"Draw" real,
"Artist" text,
"Song" text,
"Composer" text,
"Lyricist" text,
"Place" real,
"Points" real
) | SELECT "Song" FROM table_37229 WHERE "Points" > '38' AND "Artist" = 'morena camilleri' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4118,
357,
3166,
41,
96,
308,
10936,
121,
490,
6,
96,
7754,
343,
121,
1499,
6,
96,
134,
2444,
121,
1499,
6,
96,
5890,
2748,
49,
121,
1499,
6,
96,
434,
63,
2234,
343,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
2444,
121,
21680,
953,
834,
4118,
357,
3166,
549,
17444,
427,
96,
22512,
7,
121,
2490,
3,
31,
3747,
31,
3430,
96,
7754,
343,
121,
3274,
3,
31,
2528,
35,
9,
5511,
7613,
23,
31,
1,
-100,
-100,
-100,
-100,... |
For those records from the products and each product's manufacturer, find name and the sum of manufacturer , and group by attribute name, and visualize them by a bar chart, and show by the Y-axis from low to high. | CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
) | SELECT T2.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Manufacturer | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7554,
41,
3636,
3,
21342,
17966,
6,
5570,
584,
4280,
28027,
599,
25502,
201,
5312,
3396,
254,
26330,
434,
6,
15248,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
332,
4416,
23954,
6,
332,
5411,
7296,
76,
8717,
450,
49,
21680,
7554,
6157,
332,
536,
3,
15355,
3162,
15248,
7,
6157,
332,
357,
9191,
332,
5411,
7296,
76,
8717,
450,
49,
3274,
332,
4416,
22737,
350,
4630,
6880,
272,... |
Name the date for air canada centre 18,736 | CREATE TABLE table_23186738_9 (
date VARCHAR,
location_attendance VARCHAR
) | SELECT date FROM table_23186738_9 WHERE location_attendance = "Air Canada Centre 18,736" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
2606,
3708,
3747,
834,
1298,
41,
833,
584,
4280,
28027,
6,
1128,
834,
15116,
663,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
833,
21,
799,
19343,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
833,
21680,
953,
834,
2773,
2606,
3708,
3747,
834,
1298,
549,
17444,
427,
1128,
834,
15116,
663,
3274,
96,
20162,
1894,
2969,
14985,
940,
3420,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
For those employees who did not have any job in the past, a scatter chart shows the correlation between manager_id and department_id . | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
... | SELECT MANAGER_ID, DEPARTMENT_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3248,
41,
301,
5618,
8015,
834,
4309,
7908,
1982,
599,
8525,
632,
201,
3,
13733,
26418,
834,
24604,
12200,
134,
3,
4331,
4059,
599,
2445,
201,
3,
16034,
16359,
834,
5911,
5596,
3,
4331... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
283,
15610,
17966,
834,
4309,
6,
3396,
19846,
11810,
834,
4309,
21680,
1652,
549,
17444,
427,
4486,
262,
5244,
5017,
476,
5080,
834,
4309,
3388,
41,
23143,
14196,
262,
5244,
5017,
476,
5080,
834,
4309,
21680,
613,
834,
... |
What is Record, when High Rebounds is 'Tyson Chandler (6)'? | CREATE TABLE table_76589 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "Record" FROM table_76589 WHERE "High rebounds" = 'tyson chandler (6)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3959,
755,
3914,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96,
21417,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
1649,
7621,
121,
21680,
953,
834,
3959,
755,
3914,
549,
17444,
427,
96,
21417,
3,
23768,
121,
3274,
3,
31,
17,
63,
739,
3,
8694,
12807,
3,
18669,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What team was visiting on February 15? | CREATE TABLE table_name_85 (visitor VARCHAR, date VARCHAR) | SELECT visitor FROM table_name_85 WHERE date = "february 15" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
3466,
155,
127,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
372,
47,
3644,
30,
2083,
627,
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,
7019,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
833,
3274,
96,
89,
15,
9052,
1208,
627,
121,
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 patients whose discharge location is rehab/distinct part hosp and age is less than 54? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "REHAB/DISTINCT PART HOSP" AND demographic.age < "54" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
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,
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,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
26,
159,
7993,
834,
14836,
3274,
96,
4386,
5478,
279,
87,
15438,
25424,
6227,
3,
19846,
3,
6299,
... |
How many Points have a Date of march 19, 2009? | CREATE TABLE table_name_7 (
points VARCHAR,
date VARCHAR
) | SELECT COUNT(points) FROM table_name_7 WHERE date = "march 19, 2009" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
940,
41,
979,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
4564,
7,
43,
3,
9,
7678,
13,
10556,
12370,
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... | [
3,
23143,
14196,
2847,
17161,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
940,
549,
17444,
427,
833,
3274,
96,
51,
7064,
12370,
2464,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many people witnessed their home team score 13.15 (93)? | CREATE TABLE table_78497 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT MAX("Crowd") FROM table_78497 WHERE "Home team score" = '13.15 (93)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3940,
591,
4327,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
121,
254,
3623,
26,
8512,
21680,
953,
834,
3940,
591,
4327,
549,
17444,
427,
96,
19040,
372,
2604,
121,
3274,
3,
31,
2368,
5,
1808,
14156,
5268,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What engine was used after 1984? | CREATE TABLE table_name_87 (
engine VARCHAR,
year INTEGER
) | SELECT engine FROM table_name_87 WHERE year > 1984 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4225,
41,
1948,
584,
4280,
28027,
6,
215,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
1948,
47,
261,
227,
13480,
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,
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,
1948,
21680,
953,
834,
4350,
834,
4225,
549,
17444,
427,
215,
2490,
13480,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who was the entrant for all the round with Jean Alesi? | CREATE TABLE table_51605 (
"Entrant" text,
"Constructor" text,
"Chassis" text,
"Engine" text,
"Tyre" text,
"Driver" text,
"Rounds" text
) | SELECT "Entrant" FROM table_51605 WHERE "Rounds" = 'all' AND "Driver" = 'jean alesi' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
2938,
3076,
41,
96,
16924,
3569,
121,
1499,
6,
96,
4302,
7593,
127,
121,
1499,
6,
96,
3541,
6500,
7,
121,
1499,
6,
96,
31477,
121,
1499,
6,
96,
382,
63,
60,
121,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
16924,
3569,
121,
21680,
953,
834,
755,
2938,
3076,
549,
17444,
427,
96,
448,
32,
1106,
7,
121,
3274,
3,
31,
1748,
31,
3430,
96,
20982,
52,
121,
3274,
3,
31,
26459,
4620,
23,
31,
1,
-100,
-100,
-100,
-100,
-... |
what is the total number of deanery as new haven ? | CREATE TABLE table_204_540 (
id number,
"name" text,
"town" text,
"deanery" text,
"vicariate" text,
"founded" number,
"original ethnic community" text
) | SELECT COUNT("deanery") FROM table_204_540 WHERE "town" = 'new haven' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
25379,
41,
3,
23,
26,
381,
6,
96,
4350,
121,
1499,
6,
96,
3540,
121,
1499,
6,
96,
221,
152,
4203,
121,
1499,
6,
96,
7287,
1665,
342,
121,
1499,
6,
96,
23329... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
121,
221,
152,
4203,
8512,
21680,
953,
834,
26363,
834,
25379,
549,
17444,
427,
96,
3540,
121,
3274,
3,
31,
5534,
43,
29,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who are all the candidates when Sam Rayburn was incumbent? | CREATE TABLE table_1342292_42 (candidates VARCHAR, incumbent VARCHAR) | SELECT candidates FROM table_1342292_42 WHERE incumbent = "Sam Rayburn" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
2884,
4508,
834,
4165,
41,
1608,
12416,
6203,
584,
4280,
28027,
6,
28406,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
33,
66,
8,
4341,
116,
3084,
8279,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4341,
21680,
953,
834,
23747,
2884,
4508,
834,
4165,
549,
17444,
427,
28406,
3274,
96,
134,
265,
8279,
7223,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many rebound did the person who scored 147 points have? | CREATE TABLE table_22824199_1 (
rebounds VARCHAR,
points VARCHAR
) | SELECT COUNT(rebounds) FROM table_22824199_1 WHERE points = 147 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
2577,
2266,
19479,
834,
536,
41,
3,
23768,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
20756,
410,
8,
568,
113,
5799,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
23768,
61,
21680,
953,
834,
357,
2577,
2266,
19479,
834,
536,
549,
17444,
427,
979,
3274,
3,
24719,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the number of silver when gold is less than 1 and bronze is 0 when total is less than 2 | CREATE TABLE table_56944 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
) | SELECT COUNT("Silver") FROM table_56944 WHERE "Gold" < '1' AND "Bronze" = '0' AND "Total" < '2' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
3951,
3628,
41,
96,
22557,
121,
490,
6,
96,
567,
257,
121,
1499,
6,
96,
23576,
121,
490,
6,
96,
134,
173,
624,
121,
490,
6,
96,
22780,
29,
776,
121,
490,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
121,
134,
173,
624,
8512,
21680,
953,
834,
755,
3951,
3628,
549,
17444,
427,
96,
23576,
121,
3,
2,
3,
31,
536,
31,
3430,
96,
22780,
29,
776,
121,
3274,
3,
31,
632,
31,
3430,
96,
3696,
1947,
121... |
Which opponent has an attendance of 17,015? | CREATE TABLE table_name_33 (
opponent VARCHAR,
attendance VARCHAR
) | SELECT opponent FROM table_name_33 WHERE attendance = "17,015" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
15264,
584,
4280,
28027,
6,
11364,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
15264,
65,
46,
11364,
13,
12864,
632,
1808,
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,
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,
4201,
549,
17444,
427,
11364,
3274,
96,
2517,
6,
4542,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the highest Lane number of a person with a time of 55.94 with a Rank that's bigger than 8? | CREATE TABLE table_71939 (
"Rank" real,
"Lane" real,
"Name" text,
"Nationality" text,
"Time" real
) | SELECT MAX("Lane") FROM table_71939 WHERE "Time" > '55.94' AND "Rank" > '8' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
2294,
3288,
41,
96,
22557,
121,
490,
6,
96,
434,
152,
15,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
13368,
121,
490,
3,
61,
3,
32102,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
121,
434,
152,
15,
8512,
21680,
953,
834,
940,
2294,
3288,
549,
17444,
427,
96,
13368,
121,
2490,
3,
31,
3769,
5,
4240,
31,
3430,
96,
22557,
121,
2490,
3,
31,
927,
31,
1,
-100,
-100,
-100,
-100,
-1... |
Who has a react smaller than 0.149 and a lane smaller than 6? | CREATE TABLE table_name_23 (
name VARCHAR,
react VARCHAR,
lane VARCHAR
) | SELECT name FROM table_name_23 WHERE react < 0.149 AND lane < 6 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2773,
41,
564,
584,
4280,
28027,
6,
8922,
584,
4280,
28027,
6,
3,
8102,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
65,
3,
9,
8922,
2755,
145,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
564,
21680,
953,
834,
4350,
834,
2773,
549,
17444,
427,
8922,
3,
2,
4097,
24816,
3430,
3,
8102,
3,
2,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who was the winner after 2011? | CREATE TABLE table_name_81 (
winner VARCHAR,
year INTEGER
) | SELECT winner FROM table_name_81 WHERE year > 2011 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
4668,
584,
4280,
28027,
6,
215,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
4668,
227,
2722,
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,
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,
4668,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
215,
2490,
2722,
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... |
In Pacifico Central where the rainfall by depth (mm/year) was 2801 what was the rainfall by volume? | CREATE TABLE table_25983027_1 (
rainfall_by_volume__km_3__year_ VARCHAR,
rainfall_by_depth__mm_year_ VARCHAR
) | SELECT rainfall_by_volume__km_3__year_ FROM table_25983027_1 WHERE rainfall_by_depth__mm_year_ = 2801 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1828,
3916,
1458,
2555,
834,
536,
41,
24801,
834,
969,
834,
23439,
834,
834,
5848,
834,
519,
834,
834,
1201,
834,
584,
4280,
28027,
6,
24801,
834,
969,
834,
10437,
834,
834,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
24801,
834,
969,
834,
23439,
834,
834,
5848,
834,
519,
834,
834,
1201,
834,
21680,
953,
834,
1828,
3916,
1458,
2555,
834,
536,
549,
17444,
427,
24801,
834,
969,
834,
10437,
834,
834,
635,
834,
1201,
834,
3274,
2059,
... |
What is the 2005 Lukoil oil prodroduction when in 2007 oil production 5.545 million tonnes? | CREATE TABLE table_name_88 (Id VARCHAR) | SELECT 2005 FROM table_name_88 WHERE 2007 = "5.545" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4060,
41,
196,
26,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3105,
2318,
157,
32,
173,
1043,
813,
26,
52,
32,
8291,
116,
16,
4101,
1043,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3105,
21680,
953,
834,
4350,
834,
4060,
549,
17444,
427,
4101,
3274,
96,
15938,
2128,
121,
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.