NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
In what year did Tom Sneva win a race? | CREATE TABLE table_19090 (
"Season" real,
"Race Name" text,
"Winning Driver" text,
"Chassis" text,
"Engine" text,
"Tires" text,
"Team" text
) | SELECT "Season" FROM table_19090 WHERE "Winning Driver" = 'Tom Sneva' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
11776,
2394,
41,
96,
134,
15,
9,
739,
121,
490,
6,
96,
448,
3302,
5570,
121,
1499,
6,
96,
518,
10503,
10546,
121,
1499,
6,
96,
3541,
6500,
7,
121,
1499,
6,
96,
31477,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15,
9,
739,
121,
21680,
953,
834,
11776,
2394,
549,
17444,
427,
96,
518,
10503,
10546,
121,
3274,
3,
31,
3696,
51,
180,
15482,
9,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How many public is there for the couple that got eliminated? | CREATE TABLE table_73944 (
"Rank" real,
"Couple" text,
"Judges" real,
"Public" real,
"Total" real,
"Vote percentage" text,
"Result" text
) | SELECT MAX("Public") FROM table_73944 WHERE "Result" = 'Eliminated' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
3288,
3628,
41,
96,
22557,
121,
490,
6,
96,
3881,
413,
109,
121,
1499,
6,
96,
683,
13164,
7,
121,
490,
6,
96,
30931,
121,
490,
6,
96,
3696,
1947,
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,
4800,
4,
599,
121,
30931,
8512,
21680,
953,
834,
940,
3288,
3628,
549,
17444,
427,
96,
20119,
121,
3274,
3,
31,
427,
4941,
77,
920,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the having things for privacy, intimate spaces of togetherness | CREATE TABLE table_name_99 (having__things_ VARCHAR, interacting__settings_ VARCHAR) | SELECT having__things_ FROM table_name_99 WHERE interacting__settings_ = "privacy, intimate spaces of togetherness" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
18261,
53,
834,
834,
8052,
7,
834,
584,
4280,
28027,
6,
3,
23396,
834,
834,
19966,
7,
834,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
578,
834,
834,
8052,
7,
834,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
3,
23396,
834,
834,
19966,
7,
834,
3274,
96,
2246,
8938,
63,
6,
11050,
4856,
13,
544,
655,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the total number of area for 775927 population | CREATE TABLE table_17979 (
"Member countries" text,
"Population" real,
"Area (km\u00b2)" real,
"GDP (billion US$)" text,
"GDP per capita (US$)" real
) | SELECT COUNT("Area (km\u00b2)") FROM table_17979 WHERE "Population" = '775927' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26593,
4440,
41,
96,
329,
18247,
1440,
121,
1499,
6,
96,
27773,
7830,
121,
490,
6,
96,
188,
864,
41,
5848,
2,
76,
1206,
115,
7318,
121,
490,
6,
96,
517,
7410,
41,
115,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
188,
864,
41,
5848,
2,
76,
1206,
115,
7318,
8512,
21680,
953,
834,
26593,
4440,
549,
17444,
427,
96,
27773,
7830,
121,
3274,
3,
31,
4013,
3390,
2555,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which colle/junior/club team did Michel Boudreau play for? | CREATE TABLE table_19541 (
"Pick #" real,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text,
"College/junior/club team" text
) | SELECT "College/junior/club team" FROM table_19541 WHERE "Player" = 'Michel Boudreau' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22464,
4853,
41,
96,
345,
3142,
1713,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
15743,
434,
372,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9939,
7883,
87,
6959,
23,
127,
87,
13442,
372,
121,
21680,
953,
834,
22464,
4853,
549,
17444,
427,
96,
15800,
49,
121,
3274,
3,
31,
30123,
272,
20180,
402,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which languages are offered in the coverage area of klang petaling jaya shah alam? | CREATE TABLE table_1837570_1 (
language VARCHAR,
coverage_area VARCHAR
) | SELECT language FROM table_1837570_1 WHERE coverage_area = "Klang Petaling Jaya Shah Alam" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2606,
22954,
2518,
834,
536,
41,
1612,
584,
4280,
28027,
6,
2591,
834,
498,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
8024,
33,
1860,
16,
8,
2591,
616,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1612,
21680,
953,
834,
2606,
22954,
2518,
834,
536,
549,
17444,
427,
2591,
834,
498,
3274,
96,
439,
4612,
5520,
9,
697,
9373,
9,
19669,
901,
265,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was the score in round 7? | CREATE TABLE table_29086 (
"Round #" text,
"Home Team" text,
"Win/Loss" text,
"Score" text,
"Opposition" text,
"Location" text
) | SELECT "Score" FROM table_29086 WHERE "Round #" = 'Round 7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23838,
3840,
41,
96,
448,
32,
1106,
1713,
121,
1499,
6,
96,
19040,
2271,
121,
1499,
6,
96,
18455,
87,
434,
32,
7,
7,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
667,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9022,
121,
21680,
953,
834,
23838,
3840,
549,
17444,
427,
96,
448,
32,
1106,
1713,
121,
3274,
3,
31,
448,
32,
1106,
489,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What player was drafted in Round 5? | CREATE TABLE table_name_30 (
player VARCHAR,
round VARCHAR
) | SELECT player FROM table_name_30 WHERE round = 5 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1458,
41,
1959,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
1959,
47,
3,
23505,
16,
9609,
305,
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,
1959,
21680,
953,
834,
4350,
834,
1458,
549,
17444,
427,
1751,
3274,
305,
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 was Emma Bunton's score for the performance with a total score of 22? | CREATE TABLE table_28352386_1 (
emma_bunton VARCHAR,
total VARCHAR
) | SELECT emma_bunton FROM table_28352386_1 WHERE total = "22" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
2469,
2773,
3840,
834,
536,
41,
3,
15,
635,
9,
834,
3007,
6992,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
15325,
4708... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
15,
635,
9,
834,
3007,
6992,
21680,
953,
834,
2577,
2469,
2773,
3840,
834,
536,
549,
17444,
427,
792,
3274,
96,
2884,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who was the opponent at the game attended by 62,019 before week 17? | CREATE TABLE table_name_22 (opponent VARCHAR, week VARCHAR, attendance VARCHAR) | SELECT opponent FROM table_name_22 WHERE week < 17 AND attendance = "62,019" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
32,
102,
9977,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
6,
11364,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
15264,
44,
8,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
471,
3,
2,
1003,
3430,
11364,
3274,
96,
4056,
6,
632,
2294,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Given a line chart about the maximum price of wines for each year. | CREATE TABLE wine (
No INTEGER,
Grape TEXT,
Winery TEXT,
Appelation TEXT,
State TEXT,
Name TEXT,
Year INTEGER,
Price INTEGER,
Score INTEGER,
Cases INTEGER,
Drink TEXT
)
CREATE TABLE grapes (
ID INTEGER,
Grape TEXT,
Color TEXT
)
CREATE TABLE appellations (
No INTEGER,
Appelation TEXT,
County TEXT,
State TEXT,
Area TEXT,
isAVA TEXT
) | SELECT Year, MAX(Price) FROM wine GROUP BY Year | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2013,
41,
465,
3,
21342,
17966,
6,
29083,
3,
3463,
4,
382,
6,
9426,
651,
3,
3463,
4,
382,
6,
3,
27794,
257,
3,
3463,
4,
382,
6,
1015,
3,
3463,
4,
382,
6,
5570,
3,
3463,
4,
38... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2929,
6,
4800,
4,
599,
345,
4920,
61,
21680,
2013,
350,
4630,
6880,
272,
476,
2929,
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 power of 1.9 diesel? | CREATE TABLE table_name_66 (
power VARCHAR,
name VARCHAR
) | SELECT power FROM table_name_66 WHERE name = "1.9 diesel" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
579,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
579,
13,
3,
22493,
12292,
58,
1,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
579,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
564,
3274,
96,
22493,
12292,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What 2nd Member has a 1st Party of conservative, and a 1st Member of william edward dowdeswell? | CREATE TABLE table_60551 (
"Election" text,
"1st Member" text,
"1st Party" text,
"2nd Member" text,
"2nd Party" text
) | SELECT "2nd Member" FROM table_60551 WHERE "1st Party" = 'conservative' AND "1st Member" = 'william edward dowdeswell' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3328,
3769,
536,
41,
96,
427,
12252,
121,
1499,
6,
96,
536,
7,
17,
8541,
121,
1499,
6,
96,
536,
7,
17,
3450,
121,
1499,
6,
96,
357,
727,
8541,
121,
1499,
6,
96,
357,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
357,
727,
8541,
121,
21680,
953,
834,
3328,
3769,
536,
549,
17444,
427,
96,
536,
7,
17,
3450,
121,
3274,
3,
31,
1018,
3473,
1528,
31,
3430,
96,
536,
7,
17,
8541,
121,
3274,
3,
31,
8894,
23,
265,
3,
15,
26,... |
Show all director names who have a movie in both year 1999 and 2000. | CREATE TABLE movie (director VARCHAR, YEAR VARCHAR) | SELECT director FROM movie WHERE YEAR = 2000 INTERSECT SELECT director FROM movie WHERE YEAR = 1999 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1974,
41,
25982,
584,
4280,
28027,
6,
30431,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
3111,
66,
2090,
3056,
113,
43,
3,
9,
1974,
16,
321,
215,
5247,
11,
2766,
5,
1,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2090,
21680,
1974,
549,
17444,
427,
30431,
3274,
2766,
3,
21342,
5249,
14196,
3,
23143,
14196,
2090,
21680,
1974,
549,
17444,
427,
30431,
3274,
5247,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many male patients were born before the year 2073? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid 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
)
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
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 = "M" AND demographic.dob_year < "2073" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
2118,
23,
26,
1499,
6,
5059,
715,
1499,
6,
5692,
1499,
6,
701,
834,
15129,
1499,
6,
3783,
1499,
6,
5798,
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,
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,
329,
121,
3430,
14798,
5,
26,
32,
115,
834,
1201,
3,
2,
96,
1755,
4552,
1... |
How many Dentists in ' Los Angeles ' have a rating above 4 ? | CREATE TABLE user (
uid int,
user_id varchar,
name varchar
)
CREATE TABLE category (
id int,
business_id varchar,
category_name varchar
)
CREATE TABLE review (
rid int,
business_id varchar,
user_id varchar,
rating float,
text longtext,
year int,
month varchar
)
CREATE TABLE tip (
tip_id int,
business_id varchar,
text longtext,
user_id varchar,
likes int,
year int,
month varchar
)
CREATE TABLE neighborhood (
id int,
business_id varchar,
neighborhood_name varchar
)
CREATE TABLE business (
bid int,
business_id varchar,
name varchar,
full_address varchar,
city varchar,
latitude varchar,
longitude varchar,
review_count bigint,
is_open tinyint,
rating float,
state varchar
)
CREATE TABLE checkin (
cid int,
business_id varchar,
count int,
day varchar
) | SELECT COUNT(DISTINCT (business.name)) FROM business, category WHERE business.city = 'Los Angeles' AND business.rating > 4 AND category.business_id = business.business_id AND category.category_name = 'Dentists' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1139,
41,
3,
76,
23,
26,
16,
17,
6,
1139,
834,
23,
26,
3,
4331,
4059,
6,
564,
3,
4331,
4059,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
3295,
41,
3,
23,
26,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
41,
16394,
5,
4350,
61,
61,
21680,
268,
6,
3295,
549,
17444,
427,
268,
5,
6726,
3274,
3,
31,
434,
32,
7,
4975,
31,
3430,
268,
5,
52,
1014,
2490,
314,
3430,
3295,
5,
16394,
8... |
For days had a minimum dew point smaller than any day in zip code 94107, show the total number of such days using a bar chart, and I want to sort X-axis from high to low order. | CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches NUMERIC,
mean_sea_level_pressure_inches NUMERIC,
min_sea_level_pressure_inches NUMERIC,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches INTEGER,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code INTEGER
)
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
) | SELECT date, COUNT(date) FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) GROUP BY date ORDER BY date DESC | [
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,
833,
6,
2847,
17161,
599,
5522,
61,
21680,
1969,
549,
17444,
427,
3519,
834,
221,
210,
834,
2700,
834,
89,
3,
2,
41,
23143,
14196,
3,
17684,
599,
1109,
834,
221,
210,
834,
2700,
834,
89,
61,
21680,
1969,
549,
1744... |
What is Region, when Date is 2004? | CREATE TABLE table_name_61 (
region VARCHAR,
date VARCHAR
) | SELECT region FROM table_name_61 WHERE date = 2004 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
1719,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
6163,
6,
116,
7678,
19,
4406,
58,
1,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1719,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
833,
3274,
4406,
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... |
VIE is the IATA for which city? | CREATE TABLE table_name_80 (
airport VARCHAR,
iata VARCHAR
) | SELECT airport FROM table_name_80 WHERE iata = "vie" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
3761,
584,
4280,
28027,
6,
3,
17221,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
584,
5091,
19,
8,
27,
19282,
21,
84,
690,
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,
3761,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
3,
17221,
3274,
96,
5914,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the score of the match with UTC as the runner-up and Saint-Gaudens Bears as the winners? | CREATE TABLE table_name_77 (score VARCHAR, runner_up VARCHAR, winners VARCHAR) | SELECT score FROM table_name_77 WHERE runner_up = "utc" AND winners = "saint-gaudens bears" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4013,
41,
7,
9022,
584,
4280,
28027,
6,
3,
10806,
834,
413,
584,
4280,
28027,
6,
8969,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2604,
13,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
4013,
549,
17444,
427,
3,
10806,
834,
413,
3274,
96,
76,
17,
75,
121,
3430,
8969,
3274,
96,
7,
9,
77,
17,
18,
20038,
537,
7,
4595,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,... |
which countries won the least amount of medals ? | CREATE TABLE table_204_232 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
) | SELECT "nation" FROM table_204_232 WHERE "total" = (SELECT MIN("total") FROM table_204_232) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
23188,
41,
3,
23,
26,
381,
6,
96,
6254,
121,
381,
6,
96,
29,
257,
121,
1499,
6,
96,
14910,
121,
381,
6,
96,
7,
173,
624,
121,
381,
6,
96,
13711,
776,
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,
29,
257,
121,
21680,
953,
834,
26363,
834,
23188,
549,
17444,
427,
96,
235,
1947,
121,
3274,
41,
23143,
14196,
3,
17684,
599,
121,
235,
1947,
8512,
21680,
953,
834,
26363,
834,
23188,
61,
1,
-100,
-100,
-100,
-1... |
What is Place, when Player is 'Arnold Palmer'? | CREATE TABLE table_name_88 (
place VARCHAR,
player VARCHAR
) | SELECT place FROM table_name_88 WHERE player = "arnold palmer" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4060,
41,
286,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
3399,
6,
116,
12387,
19,
3,
31,
188,
52,
29,
1490,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
286,
21680,
953,
834,
4350,
834,
4060,
549,
17444,
427,
1959,
3274,
96,
291,
29,
1490,
8466,
49,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the most rank for 2 gold | CREATE TABLE table_22355_68 (
rank INTEGER,
gold VARCHAR
) | SELECT MIN(rank) FROM table_22355_68 WHERE gold = 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
2773,
3769,
834,
3651,
41,
11003,
3,
21342,
17966,
6,
2045,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
167,
11003,
21,
204,
2045,
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,
3,
17684,
599,
6254,
61,
21680,
953,
834,
357,
2773,
3769,
834,
3651,
549,
17444,
427,
2045,
3274,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
List the number of games for each away team and group by home team in a stacked bar chart The x-axis is away team, could you display from low to high by the Y? | CREATE TABLE stadium (
id int,
name text,
Home_Games int,
Average_Attendance real,
Total_Attendance real,
Capacity_Percentage real
)
CREATE TABLE injury_accident (
game_id int,
id int,
Player text,
Injury text,
Number_of_matches text,
Source text
)
CREATE TABLE game (
stadium_id int,
id int,
Season int,
Date text,
Home_team text,
Away_team text,
Score text,
Competition text
) | SELECT Away_team, COUNT(Away_team) FROM game GROUP BY Home_team, Away_team ORDER BY COUNT(Away_team) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14939,
41,
3,
23,
26,
16,
17,
6,
564,
1499,
6,
1210,
834,
23055,
7,
16,
17,
6,
23836,
834,
188,
17,
324,
26,
663,
490,
6,
9273,
834,
188,
17,
324,
26,
663,
490,
6,
4000,
9,
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,
71,
1343,
834,
11650,
6,
2847,
17161,
599,
188,
1343,
834,
11650,
61,
21680,
467,
350,
4630,
6880,
272,
476,
1210,
834,
11650,
6,
71,
1343,
834,
11650,
4674,
11300,
272,
476,
2847,
17161,
599,
188,
1343,
834,
11650,
... |
What is the maximum number of assists for players named Anastasia Kostaki? | CREATE TABLE table_24913533_4 (
assists INTEGER,
player VARCHAR
) | SELECT MAX(assists) FROM table_24913533_4 WHERE player = "Anastasia Kostaki" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
4729,
2469,
4201,
834,
591,
41,
13041,
3,
21342,
17966,
6,
1959,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2411,
381,
13,
13041,
21,
1508,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
6500,
7,
17,
7,
61,
21680,
953,
834,
2266,
4729,
2469,
4201,
834,
591,
549,
17444,
427,
1959,
3274,
96,
188,
29,
9,
7,
17,
15974,
1793,
2427,
2168,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who was the losing team on June 16? | CREATE TABLE table_11444 (
"Date" text,
"Winning Team" text,
"Losing Team" text,
"Score" text,
"Venue" text
) | SELECT "Losing Team" FROM table_11444 WHERE "Date" = 'june 16' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
18959,
3628,
41,
96,
308,
342,
121,
1499,
6,
96,
518,
10503,
2271,
121,
1499,
6,
96,
434,
32,
7,
53,
2271,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
553,
35,
76,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
32,
7,
53,
2271,
121,
21680,
953,
834,
18959,
3628,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
6959,
15,
898,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the name and distance for aircraft with id 12? | CREATE TABLE Aircraft (
name VARCHAR,
distance VARCHAR,
aid VARCHAR
) | SELECT name, distance FROM Aircraft WHERE aid = 12 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1761,
6696,
41,
564,
584,
4280,
28027,
6,
2357,
584,
4280,
28027,
6,
3052,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
564,
11,
2357,
21,
6442,
28,
3,
23,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
564,
6,
2357,
21680,
1761,
6696,
549,
17444,
427,
3052,
3274,
586,
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,... |
what is the number of times a boston red sox player has had two grand slams in one game ? | CREATE TABLE table_203_549 (
id number,
"player" text,
"team" text,
"date" text,
"opponent" text,
"venue" text
) | SELECT COUNT(*) FROM table_203_549 WHERE "team" = 'boston red sox' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
755,
3647,
41,
3,
23,
26,
381,
6,
96,
20846,
121,
1499,
6,
96,
11650,
121,
1499,
6,
96,
5522,
121,
1499,
6,
96,
32,
102,
9977,
121,
1499,
6,
96,
15098,
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,
2847,
17161,
599,
1935,
61,
21680,
953,
834,
23330,
834,
755,
3647,
549,
17444,
427,
96,
11650,
121,
3274,
3,
31,
115,
32,
4411,
1131,
78,
226,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What movie did Bela Bose co-star in? | CREATE TABLE table_2528382_5 (movie_album VARCHAR, co_stars VARCHAR) | SELECT movie_album FROM table_2528382_5 WHERE co_stars = "Bela Bose" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1828,
2577,
3747,
357,
834,
755,
41,
7168,
23,
15,
834,
23703,
584,
4280,
28027,
6,
576,
834,
3624,
7,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1974,
410,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1974,
834,
23703,
21680,
953,
834,
1828,
2577,
3747,
357,
834,
755,
549,
17444,
427,
576,
834,
3624,
7,
3274,
96,
2703,
521,
1491,
7,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is Date, when Attendance is less than 521? | CREATE TABLE table_name_43 (
date VARCHAR,
attendance INTEGER
) | SELECT date FROM table_name_43 WHERE attendance < 521 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4906,
41,
833,
584,
4280,
28027,
6,
11364,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
7678,
6,
116,
22497,
663,
19,
705,
145,
305,
2658,
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,
833,
21680,
953,
834,
4350,
834,
4906,
549,
17444,
427,
11364,
3,
2,
305,
2658,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who are the candidates in the Tennessee 3 district election? | CREATE TABLE table_1341453_44 (
candidates VARCHAR,
district VARCHAR
) | SELECT candidates FROM table_1341453_44 WHERE district = "Tennessee 3" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
2534,
4867,
834,
3628,
41,
4341,
584,
4280,
28027,
6,
3939,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
33,
8,
4341,
16,
8,
12976,
220,
3939,
4356,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
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,
2534,
4867,
834,
3628,
549,
17444,
427,
3939,
3274,
96,
382,
35,
655,
15,
15,
220,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what was the charge against the defendant who was arrested after 1955 ? | CREATE TABLE table_204_479 (
id number,
"defendant" text,
"arrested" text,
"charge" text,
"result" text,
"sentence" text
) | SELECT "charge" FROM table_204_479 WHERE "arrested" > 1955 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
591,
4440,
41,
3,
23,
26,
381,
6,
96,
221,
89,
989,
288,
121,
1499,
6,
96,
291,
60,
6265,
121,
1499,
6,
96,
7993,
121,
1499,
6,
96,
60,
7,
83,
17,
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,
7993,
121,
21680,
953,
834,
26363,
834,
591,
4440,
549,
17444,
427,
96,
291,
60,
6265,
121,
2490,
23652,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the freestyle leg for the Netherlands? | CREATE TABLE table_name_69 (freestyle_leg VARCHAR, country VARCHAR) | SELECT freestyle_leg FROM table_name_69 WHERE country = "netherlands" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
2113,
4084,
834,
5772,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
339,
4084,
4553,
21,
8,
12023,
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,
339,
4084,
834,
5772,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
684,
3274,
96,
29,
16764,
6347,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Find the name and budget of departments whose budgets are more than the average budget Visualize by bar chart, and display names in descending order. | CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
) | SELECT dept_name, budget FROM department WHERE budget > (SELECT AVG(budget) FROM department) ORDER BY dept_name DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
554,
60,
1824,
41,
503,
834,
23,
26,
3,
4331,
4059,
28007,
6,
554,
60,
1824,
834,
23,
26,
3,
4331,
4059,
28007,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
3,
11749... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
20,
102,
17,
834,
4350,
6,
1487,
21680,
3066,
549,
17444,
427,
1487,
2490,
41,
23143,
14196,
71,
17217,
599,
11073,
2782,
61,
21680,
3066,
61,
4674,
11300,
272,
476,
20,
102,
17,
834,
4350,
309,
25067,
1,
-100,
-100... |
Who wrote the episode that had 6.05 million U.s. viewers? | CREATE TABLE table_30246 (
"No." real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" real,
"U.S. viewers (million)" text
) | SELECT "Written by" FROM table_30246 WHERE "U.S. viewers (million)" = '6.05' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1458,
357,
4448,
41,
96,
4168,
535,
490,
6,
96,
382,
155,
109,
121,
1499,
6,
96,
23620,
15,
26,
57,
121,
1499,
6,
96,
24965,
324,
57,
121,
1499,
6,
96,
667,
3380,
10270... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
24965,
324,
57,
121,
21680,
953,
834,
1458,
357,
4448,
549,
17444,
427,
96,
1265,
5,
134,
5,
13569,
41,
17030,
61,
121,
3274,
3,
31,
22642,
755,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the total rank for the athlete that had a race time of 7:34.24? | CREATE TABLE table_name_56 (rank VARCHAR, time VARCHAR) | SELECT COUNT(rank) FROM table_name_56 WHERE time = "7:34.24" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4834,
41,
6254,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
11003,
21,
8,
17893,
24,
141,
3,
9,
1964,
97,
13... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
6254,
61,
21680,
953,
834,
4350,
834,
4834,
549,
17444,
427,
97,
3274,
96,
940,
10,
3710,
5,
2266,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many contestants are 1.80 mtr. in height? | CREATE TABLE table_27946889_2 (contestant VARCHAR, height__mtr_ VARCHAR) | SELECT COUNT(contestant) FROM table_27946889_2 WHERE height__mtr_ = "1.80" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
4240,
3651,
3914,
834,
357,
41,
1018,
4377,
288,
584,
4280,
28027,
6,
3902,
834,
834,
51,
17,
52,
834,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
1018,
4377,
288,
61,
21680,
953,
834,
2555,
4240,
3651,
3914,
834,
357,
549,
17444,
427,
3902,
834,
834,
51,
17,
52,
834,
3274,
96,
5411,
2079,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the highest goal difference that the club with 33-5 points and less than 12 wins? | CREATE TABLE table_name_52 (goal_difference INTEGER, points VARCHAR, wins VARCHAR) | SELECT MAX(goal_difference) FROM table_name_52 WHERE points = "33-5" AND wins < 12 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
839,
138,
834,
26,
99,
11788,
3,
21342,
17966,
6,
979,
584,
4280,
28027,
6,
9204,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4800,
4,
599,
839,
138,
834,
26,
99,
11788,
61,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
979,
3274,
96,
4201,
18,
17395,
3430,
9204,
3,
2,
586,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who drafted the player from Michigan after 2010? | CREATE TABLE table_name_44 (drafting_team VARCHAR, graduated VARCHAR, college_prior VARCHAR) | SELECT drafting_team FROM table_name_44 WHERE graduated > 2010 AND college_prior = "michigan" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3628,
41,
26797,
834,
11650,
584,
4280,
28027,
6,
9461,
584,
4280,
28027,
6,
1900,
834,
2246,
127,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
3,
23... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
26797,
834,
11650,
21680,
953,
834,
4350,
834,
3628,
549,
17444,
427,
9461,
2490,
2735,
3430,
1900,
834,
2246,
127,
3274,
96,
51,
362,
12588,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What language is the moviein that is on UMP movies network through Sky service? | CREATE TABLE table_name_87 (
language VARCHAR,
network VARCHAR,
genre VARCHAR,
service VARCHAR
) | SELECT language FROM table_name_87 WHERE genre = "movies" AND service = "sky" AND network = "ump movies" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4225,
41,
1612,
584,
4280,
28027,
6,
1229,
584,
4280,
28027,
6,
5349,
584,
4280,
28027,
6,
313,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
1612,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1612,
21680,
953,
834,
4350,
834,
4225,
549,
17444,
427,
5349,
3274,
96,
7168,
725,
121,
3430,
313,
3274,
96,
5352,
121,
3430,
1229,
3274,
96,
440,
102,
4876,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total number of acres at Sai Tso Wan, opening before 1978? | CREATE TABLE table_name_29 (
acres VARCHAR,
landfill VARCHAR,
opened VARCHAR
) | SELECT COUNT(acres) FROM table_name_29 WHERE landfill = "sai tso wan" AND opened < 1978 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
9704,
584,
4280,
28027,
6,
24929,
584,
4280,
28027,
6,
2946,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
381,
13,
9704,
44... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
10610,
7,
61,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
24929,
3274,
96,
7,
9,
23,
3,
17,
7,
32,
3,
3877,
121,
3430,
2946,
3,
2,
14834,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which tournament had a 2010 finish of 4R? | CREATE TABLE table_68293 (
"Tournament" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text,
"2013" text
) | SELECT "Tournament" FROM table_68293 WHERE "2010" = '4r' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3651,
357,
4271,
41,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
20615,
121,
1499,
6,
96,
16128,
121,
1499,
6,
96,
16660,
121,
1499,
6,
96,
14926,
121,
1499,
6,
96,
13907... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1211,
20205,
17,
121,
21680,
953,
834,
3651,
357,
4271,
549,
17444,
427,
96,
14926,
121,
3274,
3,
31,
591,
52,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What date was the match against carlisle united? | CREATE TABLE table_name_65 (date VARCHAR, away_team VARCHAR) | SELECT date FROM table_name_65 WHERE away_team = "carlisle united" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
5522,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
833,
47,
8,
1588,
581,
443,
40,
159,
109,
18279,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4350,
834,
4122,
549,
17444,
427,
550,
834,
11650,
3274,
96,
1720,
40,
159,
109,
18279,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Tell me the Ryuji Hijikata for TAKA Michinoku of Hayashi (28:05) | CREATE TABLE table_51597 (
"Block A" text,
"Kaz Hayashi" text,
"Ryuji Hijikata" text,
"TAKA Michinoku" text,
"\"brother\" YASSHI" text
) | SELECT "Ryuji Hijikata" FROM table_51597 WHERE "TAKA Michinoku" = 'hayashi (28:05)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
1808,
4327,
41,
96,
279,
4029,
71,
121,
1499,
6,
96,
439,
9,
172,
8567,
17155,
121,
1499,
6,
96,
448,
63,
76,
354,
23,
454,
17279,
8682,
9,
121,
1499,
6,
96,
3221,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
448,
63,
76,
354,
23,
454,
17279,
8682,
9,
121,
21680,
953,
834,
755,
1808,
4327,
549,
17444,
427,
96,
3221,
12048,
18463,
77,
18512,
121,
3274,
3,
31,
12687,
17155,
41,
2577,
10,
3076,
61,
31,
1,
-100,
-100,
... |
For episode number 7, what was the numbers of original air dates? | CREATE TABLE table_19266557_1 (original_air_date VARCHAR, _number VARCHAR) | SELECT COUNT(original_air_date) FROM table_19266557_1 WHERE _number = 7 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2294,
2688,
4122,
3436,
834,
536,
41,
21878,
834,
2256,
834,
5522,
584,
4280,
28027,
6,
3,
834,
5525,
1152,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
242,
5640,
38... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
21878,
834,
2256,
834,
5522,
61,
21680,
953,
834,
2294,
2688,
4122,
3436,
834,
536,
549,
17444,
427,
3,
834,
5525,
1152,
3274,
489,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Municipality of tampere involves which party? | CREATE TABLE table_5759 (
"Candidate" text,
"Party" text,
"Votes" text,
"Quotient" text,
"Municipality" text
) | SELECT "Party" FROM table_5759 WHERE "Municipality" = 'tampere' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3436,
3390,
41,
96,
14050,
12416,
342,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
553,
32,
1422,
121,
1499,
6,
96,
5991,
32,
15058,
121,
1499,
6,
96,
329,
202,
23,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
13725,
63,
121,
21680,
953,
834,
3436,
3390,
549,
17444,
427,
96,
329,
202,
23,
3389,
10355,
121,
3274,
3,
31,
17,
4624,
49,
15,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What year was the building with a top 3 rank and a height of 274 (84) ft (m) completed? | CREATE TABLE table_35517 (
"Rank" real,
"Name" text,
"Height ft (m)" text,
"Floors (Stories)" real,
"Year Completed" real
) | SELECT MAX("Year Completed") FROM table_35517 WHERE "Rank" < '3' AND "Height ft (m)" = '274 (84)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2469,
755,
2517,
41,
96,
22557,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
3845,
2632,
3,
89,
17,
41,
51,
61,
121,
1499,
6,
96,
11251,
127,
7,
41,
134,
235,
2593,
61,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
476,
2741,
9480,
26,
8512,
21680,
953,
834,
2469,
755,
2517,
549,
17444,
427,
96,
22557,
121,
3,
2,
3,
31,
519,
31,
3430,
96,
3845,
2632,
3,
89,
17,
41,
51,
61,
121,
3274,
3,
31,
2555,
591,
... |
Which Tournament has a 1984 of 1r? | CREATE TABLE table_name_26 (
tournament VARCHAR
) | SELECT tournament FROM table_name_26 WHERE 1984 = "1r" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2688,
41,
5892,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
20502,
65,
3,
9,
13480,
13,
209,
52,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5892,
21680,
953,
834,
4350,
834,
2688,
549,
17444,
427,
13480,
3274,
96,
536,
52,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the highest position of the Bangor City team? | CREATE TABLE table_17366952_1 (
position INTEGER,
team VARCHAR
) | SELECT MAX(position) FROM table_17366952_1 WHERE team = "Bangor City" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
3420,
3951,
5373,
834,
536,
41,
1102,
3,
21342,
17966,
6,
372,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
1102,
13,
8,
19330,
127,
896,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4800,
4,
599,
4718,
61,
21680,
953,
834,
2517,
3420,
3951,
5373,
834,
536,
549,
17444,
427,
372,
3274,
96,
279,
1468,
127,
896,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the school when the team is new york yankees? | CREATE TABLE table_name_1 (
school VARCHAR,
team VARCHAR
) | SELECT school FROM table_name_1 WHERE team = "new york yankees" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
496,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
496,
116,
8,
372,
19,
126,
25453,
3,
63,
5979,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
496,
21680,
953,
834,
4350,
834,
536,
549,
17444,
427,
372,
3274,
96,
5534,
25453,
3,
63,
5979,
15,
15,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which Field has a Discovery of na, and an Operator(s) of woc, and a Geological Trend of western | CREATE TABLE table_name_15 (field VARCHAR, geological_trend VARCHAR, discovery VARCHAR, operator_s_ VARCHAR) | SELECT field FROM table_name_15 WHERE discovery = "na" AND operator_s_ = "woc" AND geological_trend = "western" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
1846,
584,
4280,
28027,
6,
873,
4478,
834,
22517,
584,
4280,
28027,
6,
9087,
584,
4280,
28027,
6,
7221,
834,
7,
834,
584,
4280,
28027,
61,
3,
32102,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1057,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
9087,
3274,
96,
29,
9,
121,
3430,
7221,
834,
7,
834,
3274,
96,
210,
32,
75,
121,
3430,
873,
4478,
834,
22517,
3274,
96,
24411,
121,
1,
-100,
-100,
-100,
-10... |
Top 10 countries with the most hall of fame players | CREATE TABLE hall_of_fame (
player_id text,
yearid number,
votedby text,
ballots text,
needed text,
votes text,
inducted text,
category text,
needed_note text
)
CREATE TABLE player_award_vote (
award_id text,
year number,
league_id text,
player_id text,
points_won number,
points_max number,
votes_first text
)
CREATE TABLE player (
player_id text,
birth_year text,
birth_month text,
birth_day text,
birth_country text,
birth_state text,
birth_city text,
death_year text,
death_month text,
death_day text,
death_country text,
death_state text,
death_city text,
name_first text,
name_last text,
name_given text,
weight text
)
CREATE TABLE salary (
year number,
team_id text,
league_id text,
player_id text,
salary number
)
CREATE TABLE player_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
notes text
) | SELECT T1.birth_country FROM player AS T1 JOIN hall_of_fame AS T2 ON T1.player_id = T2.player_id WHERE T2.inducted = "Y" GROUP BY T1.birth_country ORDER BY COUNT(*) DESC LIMIT 10 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
6358,
834,
858,
834,
89,
265,
15,
41,
1959,
834,
23,
26,
1499,
6,
215,
23,
26,
381,
6,
3,
11060,
969,
1499,
6,
16524,
7,
1499,
6,
906,
1499,
6,
11839,
1499,
6,
16,
21336,
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,
332,
5411,
20663,
834,
17529,
21680,
1959,
6157,
332,
536,
3,
15355,
3162,
6358,
834,
858,
834,
89,
265,
15,
6157,
332,
357,
9191,
332,
5411,
20846,
834,
23,
26,
3274,
332,
4416,
20846,
834,
23,
26,
549,
17444,
427,... |
Which loss has an Opponent of @ angels, and a Date of august 1? | CREATE TABLE table_name_47 (loss VARCHAR, opponent VARCHAR, date VARCHAR) | SELECT loss FROM table_name_47 WHERE opponent = "@ angels" AND date = "august 1" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4177,
41,
2298,
7,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
1453,
65,
46,
4495,
9977,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1453,
21680,
953,
834,
4350,
834,
4177,
549,
17444,
427,
15264,
3274,
96,
1741,
11831,
7,
121,
3430,
833,
3274,
96,
402,
17198,
209,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the class when the verb meaning is to nourish, to grow? | CREATE TABLE table_name_47 (class VARCHAR, verb_meaning VARCHAR) | SELECT class FROM table_name_47 WHERE verb_meaning = "to nourish, to grow" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4177,
41,
4057,
584,
4280,
28027,
6,
7375,
834,
27639,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
853,
116,
8,
7375,
2530,
19,
12,
25196,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
853,
21680,
953,
834,
4350,
834,
4177,
549,
17444,
427,
7375,
834,
27639,
3274,
96,
235,
25196,
6,
12,
1604,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the normal with que of 24 | CREATE TABLE table_70945 (
"Date enacted" text,
"Normal total" text,
"\u00a726 total" text,
"Ont." text,
"Que." text,
"N.S." text,
"N.B." text
) | SELECT "Normal total" FROM table_70945 WHERE "Que." = '24' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2518,
1298,
2128,
41,
96,
308,
342,
3,
35,
9925,
121,
1499,
6,
96,
19383,
138,
792,
121,
1499,
6,
96,
2,
76,
1206,
9,
940,
2688,
792,
121,
1499,
6,
96,
7638,
17,
535,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19383,
138,
792,
121,
21680,
953,
834,
2518,
1298,
2128,
549,
17444,
427,
96,
5991,
15,
535,
3274,
3,
31,
2266,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
I want the director for heroes of the wild | CREATE TABLE table_name_29 (director VARCHAR, serial_title VARCHAR) | SELECT director FROM table_name_29 WHERE serial_title = "heroes of the wild" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
25982,
584,
4280,
28027,
6,
10501,
834,
21869,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
27,
241,
8,
2090,
21,
17736,
13,
8,
3645,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2090,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
10501,
834,
21869,
3274,
96,
760,
32,
15,
7,
13,
8,
3645,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the No. 2 of the person with a No. 5 of Ethan and NO. 7 of Jackson? | CREATE TABLE table_name_98 (no_2 VARCHAR, no_4 VARCHAR, no_7 VARCHAR) | SELECT no_2 FROM table_name_98 WHERE no_4 = "ethan" AND no_7 = "jackson" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
29,
32,
834,
357,
584,
4280,
28027,
6,
150,
834,
591,
584,
4280,
28027,
6,
150,
834,
940,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
150,
834,
357,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
150,
834,
591,
3274,
96,
15,
6736,
121,
3430,
150,
834,
940,
3274,
96,
9325,
739,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Specify the maximum age of patients that had a discharge location of dead/expired but a death status of unspecified. | 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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) | SELECT MAX(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.discharge_location = "DEAD/EXPIRED" | [
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,
4800,
4,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
994,
2388,
15,
834,
89,
5430,
3274,
96,
632,
121,
3430,
14798,
5,
26,
159,
7993,
834,
14836,
3274,
96,
308,
19552,
87,
427,
4,
4111,
... |
how many patients with hypoglycemia were there in 2103? | CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
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,
drugstoptime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
) | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'hypoglycemia' AND STRFTIME('%y', diagnosis.diagnosistime) = '2103') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
11963,
670,
2562,
41,
11963,
670,
2562,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2358,
8292,
1499,
6,
2358,
40,
10333,
1499,
6,
2358,
7480,
35,
76,
17552,
381,
6,
11963,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1868,
5,
202,
1495,
12417,
61,
21680,
1868,
549,
17444,
427,
1868,
5,
10061,
15129,
21545,
23,
26,
3388,
41,
23143,
14196,
8209,
5,
10061,
15129,
21545,
23,
26,
21680,
8209,
549,
... |
What award was Trent Tesoro nominated for in 2007? | CREATE TABLE table_name_2 (
award VARCHAR,
result VARCHAR,
year VARCHAR
) | SELECT award FROM table_name_2 WHERE result = "nominated" AND year = 2007 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
2760,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
2760,
47,
24116,
2255,
7,
127,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2760,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
741,
3274,
96,
3114,
77,
920,
121,
3430,
215,
3274,
4101,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Who was the republican candidate in the race with incumbent thelma drake? | CREATE TABLE table_17503169_1 (republican VARCHAR, incumbent VARCHAR) | SELECT republican FROM table_17503169_1 WHERE incumbent = "Thelma Drake" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
1752,
3341,
3951,
834,
536,
41,
60,
15727,
152,
584,
4280,
28027,
6,
28406,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
20237,
152,
4775,
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,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
20237,
152,
21680,
953,
834,
2517,
1752,
3341,
3951,
834,
536,
549,
17444,
427,
28406,
3274,
96,
382,
17757,
9,
24823,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the lowest First Elected, when Results is "Re-elected", and when Incumbent is "Lincoln Davis"? | CREATE TABLE table_name_38 (first_elected INTEGER, results VARCHAR, incumbent VARCHAR) | SELECT MIN(first_elected) FROM table_name_38 WHERE results = "re-elected" AND incumbent = "lincoln davis" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3747,
41,
14672,
834,
19971,
3,
21342,
17966,
6,
772,
584,
4280,
28027,
6,
28406,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7402,
1485,
1289... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
14672,
834,
19971,
61,
21680,
953,
834,
4350,
834,
3747,
549,
17444,
427,
772,
3274,
96,
60,
18,
19971,
121,
3430,
28406,
3274,
96,
40,
77,
3297,
29,
836,
3466,
121,
1,
-100,
-100,
-100,
-100,
-100,
... |
vernon cassel and reginald shaffer was sentenced how many years ? | CREATE TABLE table_204_479 (
id number,
"defendant" text,
"arrested" text,
"charge" text,
"result" text,
"sentence" text
) | SELECT "sentence" FROM table_204_479 WHERE "defendant" IN ('vernon cassel', 'reginald shaffer') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
591,
4440,
41,
3,
23,
26,
381,
6,
96,
221,
89,
989,
288,
121,
1499,
6,
96,
291,
60,
6265,
121,
1499,
6,
96,
7993,
121,
1499,
6,
96,
60,
7,
83,
17,
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,
5277,
1433,
121,
21680,
953,
834,
26363,
834,
591,
4440,
549,
17444,
427,
96,
221,
89,
989,
288,
121,
3388,
41,
31,
624,
29,
106,
212,
9816,
31,
6,
3,
31,
60,
19604,
40,
26,
6660,
9,
7010,
31,
61,
1,
-100,... |
What is the total number of poles for arden international? | CREATE TABLE table_10420426_1 (poles VARCHAR, team VARCHAR) | SELECT COUNT(poles) FROM table_10420426_1 WHERE team = "Arden International" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
15442,
26363,
2688,
834,
536,
41,
14332,
7,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
381,
13,
11148,
7,
21,
3,
986,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
14332,
7,
61,
21680,
953,
834,
15442,
26363,
2688,
834,
536,
549,
17444,
427,
372,
3274,
96,
188,
52,
537,
1331,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is GTO Winning Team Mike Keyser's RND number? | CREATE TABLE table_13657749_2 (
rnd VARCHAR,
gto_winning_team VARCHAR
) | SELECT rnd FROM table_13657749_2 WHERE gto_winning_team = "Mike Keyser" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
536,
10402,
4013,
3647,
834,
357,
41,
3,
52,
727,
584,
4280,
28027,
6,
3,
122,
235,
834,
8163,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
52,
727,
21680,
953,
834,
536,
10402,
4013,
3647,
834,
357,
549,
17444,
427,
3,
122,
235,
834,
8163,
834,
11650,
3274,
96,
329,
5208,
4420,
7,
49,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What district first elected a Democratic incumbent in 1998? | CREATE TABLE table_1805191_50 (
district VARCHAR,
party VARCHAR,
first_elected VARCHAR
) | SELECT district FROM table_1805191_50 WHERE party = "Democratic" AND first_elected = 1998 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20829,
5553,
4729,
834,
1752,
41,
3939,
584,
4280,
28027,
6,
1088,
584,
4280,
28027,
6,
166,
834,
19971,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
3939,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3939,
21680,
953,
834,
20829,
5553,
4729,
834,
1752,
549,
17444,
427,
1088,
3274,
96,
19679,
447,
121,
3430,
166,
834,
19971,
3274,
6260,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the most place for goals scored more than 28 and played less than 18 | CREATE TABLE table_name_23 (place INTEGER, goals_scored VARCHAR, played VARCHAR) | SELECT MAX(place) FROM table_name_23 WHERE goals_scored > 28 AND played < 18 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2773,
41,
4687,
3,
21342,
17966,
6,
1766,
834,
3523,
1271,
584,
4280,
28027,
6,
1944,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
167,
286,
21,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4800,
4,
599,
4687,
61,
21680,
953,
834,
4350,
834,
2773,
549,
17444,
427,
1766,
834,
3523,
1271,
2490,
2059,
3430,
1944,
3,
2,
507,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
At what venue did the away team score 15.16 (106)? | CREATE TABLE table_54921 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Venue" FROM table_54921 WHERE "Away team score" = '15.16 (106)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
3647,
2658,
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,
96,
553,
35,
76,
15,
121,
21680,
953,
834,
755,
3647,
2658,
549,
17444,
427,
96,
188,
1343,
372,
2604,
121,
3274,
3,
31,
1808,
5,
2938,
11704,
10938,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What was the average number of yards Michael Henig had in a year when he had more than 12 starts/ | CREATE TABLE table_name_46 (yards INTEGER, starts INTEGER) | SELECT AVG(yards) FROM table_name_46 WHERE starts > 12 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4448,
41,
6636,
7,
3,
21342,
17966,
6,
3511,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
1348,
381,
13,
6460,
2457,
216,
7315,
141,
16,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
6636,
7,
61,
21680,
953,
834,
4350,
834,
4448,
549,
17444,
427,
3511,
2490,
586,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many provinces have a density of 165.81? | CREATE TABLE table_254234_1 (iso_ VARCHAR, density² VARCHAR) | SELECT COUNT(iso_) AS № FROM table_254234_1 WHERE density² = "165.81" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1828,
4165,
3710,
834,
536,
41,
159,
32,
834,
584,
4280,
28027,
6,
11048,
357,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
7985,
7,
43,
3,
9,
11048,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
159,
32,
834,
61,
6157,
465,
21680,
953,
834,
1828,
4165,
3710,
834,
536,
549,
17444,
427,
11048,
357,
3274,
96,
22823,
5,
4959,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
tell me the method of intake of aspirin 300 mg re supp? | CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
) | SELECT DISTINCT medication.routeadmin FROM medication WHERE medication.drugname = 'aspirin 300 mg re supp' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7757,
41,
7757,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2672,
4350,
1499,
6,
17166,
1499,
6,
2981,
20466,
29,
1499,
6,
2672,
10208,
715,
97,
6,
4845,
2916,
715,
97,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
7757,
5,
20300,
20466,
29,
21680,
7757,
549,
17444,
427,
7757,
5,
26,
13534,
4350,
3274,
3,
31,
9,
7,
2388,
77,
3147,
5453,
3,
60,
2629,
1572,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the venue that has 34-18 as the score? | CREATE TABLE table_21350934_2 (venue VARCHAR, score VARCHAR) | SELECT venue FROM table_21350934_2 WHERE score = "34-18" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2658,
2469,
4198,
3710,
834,
357,
41,
15098,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
5669,
24,
65,
6154,
6996,
38,
8,
26... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
2658,
2469,
4198,
3710,
834,
357,
549,
17444,
427,
2604,
3274,
96,
3710,
6996,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the home of the match with a 0:2 result on 21.10.07? | CREATE TABLE table_49431 (
"Date" text,
"Time" text,
"Home" text,
"Geust" text,
"Result" text
) | SELECT "Home" FROM table_49431 WHERE "Result" = '0:2' AND "Date" = '21.10.07' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3647,
591,
3341,
41,
96,
308,
342,
121,
1499,
6,
96,
13368,
121,
1499,
6,
96,
19040,
121,
1499,
6,
96,
517,
15,
302,
17,
121,
1499,
6,
96,
20119,
121,
1499,
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,
96,
19040,
121,
21680,
953,
834,
3647,
591,
3341,
549,
17444,
427,
96,
20119,
121,
3274,
3,
31,
632,
10,
357,
31,
3430,
96,
308,
342,
121,
3274,
3,
31,
2658,
5,
10415,
4560,
31,
1,
-100,
-100,
-100,
-100,
-100,
... |
College of san diego state, and a Pick # smaller than 30 is what lowest overall? | CREATE TABLE table_name_32 (overall INTEGER, college VARCHAR, pick__number VARCHAR) | SELECT MIN(overall) FROM table_name_32 WHERE college = "san diego state" AND pick__number < 30 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2668,
41,
1890,
1748,
3,
21342,
17966,
6,
1900,
584,
4280,
28027,
6,
1432,
834,
834,
5525,
1152,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
1888,
13,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
1890,
1748,
61,
21680,
953,
834,
4350,
834,
2668,
549,
17444,
427,
1900,
3274,
96,
7,
152,
67,
839,
538,
121,
3430,
1432,
834,
834,
5525,
1152,
3,
2,
604,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the league for 1996 | CREATE TABLE table_57709 (
"Year" text,
"Division" text,
"League" text,
"Reg. Season" text,
"Playoffs" text,
"Open Cup" text
) | SELECT "League" FROM table_57709 WHERE "Year" = '1996' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3436,
2518,
1298,
41,
96,
476,
2741,
121,
1499,
6,
96,
308,
23,
6610,
121,
1499,
6,
96,
2796,
9,
5398,
121,
1499,
6,
96,
17748,
5,
7960,
121,
1499,
6,
96,
15800,
1647,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2796,
9,
5398,
121,
21680,
953,
834,
3436,
2518,
1298,
549,
17444,
427,
96,
476,
2741,
121,
3274,
3,
31,
2294,
4314,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
John W. Heselton was first elected in what year? | CREATE TABLE table_1342013_20 (
first_elected INTEGER,
incumbent VARCHAR
) | SELECT MAX(first_elected) FROM table_1342013_20 WHERE incumbent = "John W. Heselton" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
11138,
834,
1755,
41,
166,
834,
19971,
3,
21342,
17966,
6,
28406,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
1079,
549,
5,
216,
7,
15,
7377,
47,
166,
81... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4800,
4,
599,
14672,
834,
19971,
61,
21680,
953,
834,
23747,
11138,
834,
1755,
549,
17444,
427,
28406,
3274,
96,
18300,
549,
5,
216,
7,
15,
7377,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What team has jordan 193 chassis after 1990? | CREATE TABLE table_name_61 (
team VARCHAR,
year VARCHAR,
chassis VARCHAR
) | SELECT team FROM table_name_61 WHERE year > 1990 AND chassis = "jordan 193" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
372,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
22836,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
372,
65,
3,
12775,
3768,
957,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
372,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
215,
2490,
5541,
3430,
22836,
3274,
96,
12775,
3768,
957,
519,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which nation had 3 bronze? | CREATE TABLE table_13842 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
) | SELECT "Nation" FROM table_13842 WHERE "Bronze" = '3' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22744,
4165,
41,
96,
22557,
121,
1499,
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,
3696,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
567,
257,
121,
21680,
953,
834,
22744,
4165,
549,
17444,
427,
96,
22780,
29,
776,
121,
3274,
3,
31,
519,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What's the 1 credit with a Hand of Theoretical Return? | CREATE TABLE table_35139 (
"Hand" text,
"1 credit" text,
"2 credits" text,
"3 credits" text,
"4 credits" text,
"5 credits" text
) | SELECT "1 credit" FROM table_35139 WHERE "Hand" = 'theoretical return' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2469,
24090,
41,
96,
566,
232,
121,
1499,
6,
96,
536,
998,
121,
1499,
6,
96,
357,
11893,
121,
1499,
6,
96,
519,
11893,
121,
1499,
6,
96,
591,
11893,
121,
1499,
6,
96,
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,
536,
998,
121,
21680,
953,
834,
2469,
24090,
549,
17444,
427,
96,
566,
232,
121,
3274,
3,
31,
532,
127,
7578,
138,
1205,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
count the number of patients whose discharge location is snf and lab test name is alkaline phosphatase? | 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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.discharge_location = "SNF" AND lab.label = "Alkaline Phosphatase" | [
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,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
How many datas were recorded on January 15-16 if August 21-22 is 155? | CREATE TABLE table_27450 (
"June 10-11" text,
"March 27-29" text,
"January 15-16" text,
"November 3" text,
"August 21-22" text
) | SELECT COUNT("January 15-16") FROM table_27450 WHERE "August 21-22" = '155' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
10593,
41,
96,
683,
444,
335,
9169,
121,
1499,
6,
96,
25019,
2307,
18,
3166,
121,
1499,
6,
96,
30404,
627,
10892,
121,
1499,
6,
96,
28635,
220,
121,
1499,
6,
96,
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... | [
3,
23143,
14196,
2847,
17161,
599,
121,
30404,
627,
10892,
8512,
21680,
953,
834,
2555,
10593,
549,
17444,
427,
96,
26579,
1401,
16149,
121,
3274,
3,
31,
20896,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Thomas de Gendt performed on what stage as aggressive rider? | CREATE TABLE table_31097 (
"Stage" real,
"Winner" text,
"General Classification" text,
"Mountains Classification" text,
"Sprint Classification" text,
"Young Rider Classification" text,
"Team Classification" text,
"Aggressive Rider" text
) | SELECT MAX("Stage") FROM table_31097 WHERE "Aggressive Rider" = 'Thomas De Gendt' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19947,
4327,
41,
96,
134,
6505,
121,
490,
6,
96,
18455,
687,
121,
1499,
6,
96,
20857,
4501,
2420,
121,
1499,
6,
96,
329,
32,
14016,
77,
7,
4501,
2420,
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,
4800,
4,
599,
121,
134,
6505,
8512,
21680,
953,
834,
19947,
4327,
549,
17444,
427,
96,
188,
122,
10292,
757,
25218,
121,
3274,
3,
31,
8991,
32,
2754,
374,
5945,
26,
17,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Find all years that have a movie that received a rating of 4 or 5, and sort them in increasing order of year. | CREATE TABLE Movie (
mID VARCHAR,
year VARCHAR
)
CREATE TABLE Rating (
mID VARCHAR,
stars VARCHAR
) | SELECT DISTINCT year FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID WHERE T2.stars >= 4 ORDER BY T1.year | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
10743,
41,
3,
51,
4309,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
21662,
41,
3,
51,
4309,
584,
4280,
28027,
6,
4811,
584... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
215,
21680,
10743,
6157,
332,
536,
3,
15355,
3162,
21662,
6157,
332,
357,
9191,
332,
5411,
51,
4309,
3274,
332,
4416,
51,
4309,
549,
17444,
427,
332,
4416,
3624,
7,
2490,
2423,
314,
4674,
11300,... |
What is the sum of Round(s), when Method is "Submission (Banana Split)"? | CREATE TABLE table_name_79 (round INTEGER, method VARCHAR) | SELECT SUM(round) FROM table_name_79 WHERE method = "submission (banana split)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4440,
41,
7775,
3,
21342,
17966,
6,
1573,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
4505,
13,
9609,
599,
7,
201,
116,
7717,
19,
96,
25252,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
7775,
61,
21680,
953,
834,
4350,
834,
4440,
549,
17444,
427,
1573,
3274,
96,
7304,
5451,
41,
3478,
152,
9,
5679,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the highest pjuehun with a kenema greater than 559, a kambia of 45,653, and a tonkolili greater than 113,926? | CREATE TABLE table_name_9 (
pujehun INTEGER,
tonkolili VARCHAR,
kenema VARCHAR,
kambia VARCHAR
) | SELECT MAX(pujehun) FROM table_name_9 WHERE kenema > 559 AND kambia = "45,653" AND tonkolili > 113 OFFSET 926 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
4353,
1924,
107,
202,
3,
21342,
17966,
6,
12,
29,
11292,
173,
23,
584,
4280,
28027,
6,
3,
1050,
9660,
9,
584,
4280,
28027,
6,
6511,
15500,
584,
4280,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
4987,
1924,
107,
202,
61,
21680,
953,
834,
4350,
834,
1298,
549,
17444,
427,
3,
1050,
9660,
9,
2490,
305,
3390,
3430,
6511,
15500,
3274,
96,
2128,
6,
4122,
519,
121,
3430,
12,
29,
11292,
173,
23,
249... |
How many episodes have been directed by David Duchovny? | CREATE TABLE table_13336122_3 (
title VARCHAR,
directed_by VARCHAR
) | SELECT COUNT(title) FROM table_13336122_3 WHERE directed_by = "David Duchovny" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22974,
3420,
20889,
834,
519,
41,
2233,
584,
4280,
28027,
6,
6640,
834,
969,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
13562,
43,
118,
6640,
57,
1955,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
21869,
61,
21680,
953,
834,
22974,
3420,
20889,
834,
519,
549,
17444,
427,
6640,
834,
969,
3274,
96,
308,
9,
6961,
970,
3995,
208,
29,
63,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What was the score of the game where the venue was cairns convention centre? | CREATE TABLE table_name_54 (score VARCHAR, venue VARCHAR) | SELECT score FROM table_name_54 WHERE venue = "cairns convention centre" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5062,
41,
7,
9022,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2604,
13,
8,
467,
213,
8,
5669,
47,
3,
75,
2256,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
5062,
549,
17444,
427,
5669,
3274,
96,
75,
2256,
29,
7,
8346,
2050,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What league has a value of 0 29 (152) for Europe? | CREATE TABLE table_name_43 (league VARCHAR, europe VARCHAR) | SELECT league FROM table_name_43 WHERE europe = "0 29 (152)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4906,
41,
29512,
584,
4280,
28027,
6,
3,
28188,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
5533,
65,
3,
9,
701,
13,
3,
632,
2838,
17251,
7318,
21,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5533,
21680,
953,
834,
4350,
834,
4906,
549,
17444,
427,
3,
28188,
3274,
96,
632,
2838,
17251,
7318,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the year for reportaje a la muerte | CREATE TABLE table_20963074_1 (year__ceremony_ VARCHAR, original_title VARCHAR) | SELECT year__ceremony_ FROM table_20963074_1 WHERE original_title = "Reportaje a la muerte" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1755,
4314,
1458,
4581,
834,
536,
41,
1201,
834,
834,
2110,
15,
21208,
834,
584,
4280,
28027,
6,
926,
834,
21869,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
215,
834,
834,
2110,
15,
21208,
834,
21680,
953,
834,
1755,
4314,
1458,
4581,
834,
536,
549,
17444,
427,
926,
834,
21869,
3274,
96,
1649,
1493,
9,
1924,
3,
9,
50,
4035,
49,
17,
15,
121,
1,
-100,
-100,
-100,
-100,
... |
How many captains when the shirt sponsor is toshiba? | CREATE TABLE table_27631756_2 (
captain VARCHAR,
shirt_sponsor VARCHAR
) | SELECT COUNT(captain) FROM table_27631756_2 WHERE shirt_sponsor = "Toshiba" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
3891,
2517,
4834,
834,
357,
41,
14268,
584,
4280,
28027,
6,
8677,
834,
7,
5041,
7,
127,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
14268,
7,
11... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
4010,
17,
9,
77,
61,
21680,
953,
834,
2555,
3891,
2517,
4834,
834,
357,
549,
17444,
427,
8677,
834,
7,
5041,
7,
127,
3274,
96,
3696,
5605,
115,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
find out the number of urgent hospital admission patients who had neutrophil lab test done. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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.admission_type = "URGENT" AND lab.label = "Neutrophils" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
2118,
23,
26,
1499,
6,
5059,
715,
1499,
6,
5692,
1499,
6,
701,
834,
15129,
1499,
6,
3783,
1499,
6,
5798,
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,
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 position was Jafus White who was picked after round 1? | CREATE TABLE table_35425 (
"Round" real,
"Overall" real,
"Player" text,
"Position" text,
"College" text
) | SELECT "Position" FROM table_35425 WHERE "Round" > '1' AND "Player" = 'jafus white' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2469,
591,
1828,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
23847,
1748,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
9939,
7883,
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,
345,
32,
7,
4749,
121,
21680,
953,
834,
2469,
591,
1828,
549,
17444,
427,
96,
448,
32,
1106,
121,
2490,
3,
31,
536,
31,
3430,
96,
15800,
49,
121,
3274,
3,
31,
1191,
89,
302,
872,
31,
1,
-100,
-100,
-100,
-... |
how many patients have had cpap/peep therapy - 5-10 cm h2o two or more times? | CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
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,
drugstoptime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
) | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, COUNT(*) AS c1 FROM patient WHERE patient.patientunitstayid = (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'cpap/peep therapy - 5-10 cm h2o') GROUP BY patient.uniquepid) AS t1 WHERE t1.c1 >= 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
50,
9824,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
7690,
4350,
1499,
6,
50,
1999,
7,
83,
17,
381,
6,
50,
1999,
7,
83,
17,
715,
97,
3,
61,
3,
32102,
32103,
32102,
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,
15438,
25424,
6227,
3,
17,
5411,
202,
1495,
12417,
61,
21680,
41,
23143,
14196,
1868,
5,
202,
1495,
12417,
6,
2847,
17161,
599,
1935,
61,
6157,
3,
75,
536,
21680,
1868,
549,
17444,
427,
1868,
5,
10... |
What were the results for the district oklahoma 5? | CREATE TABLE table_18126 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" text,
"Results" text,
"Candidates" text
) | SELECT "Results" FROM table_18126 WHERE "District" = 'Oklahoma 5' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2606,
21976,
41,
96,
308,
23,
20066,
121,
1499,
6,
96,
1570,
75,
5937,
295,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
25171,
8160,
121,
1499,
6,
96,
20119,
7,
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,
20119,
7,
121,
21680,
953,
834,
2606,
21976,
549,
17444,
427,
96,
308,
23,
20066,
121,
3274,
3,
31,
667,
8142,
10207,
9,
305,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total number of television channels when one of the radio stations is onda madrid? | CREATE TABLE table_23143607_1 (television_channels VARCHAR, radio_stations VARCHAR) | SELECT COUNT(television_channels) FROM table_23143607_1 WHERE radio_stations = "Onda Madrid" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
2534,
3420,
4560,
834,
536,
41,
1931,
6610,
834,
19778,
7,
584,
4280,
28027,
6,
2252,
834,
6682,
7,
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,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
1931,
6610,
834,
19778,
7,
61,
21680,
953,
834,
2773,
2534,
3420,
4560,
834,
536,
549,
17444,
427,
2252,
834,
6682,
7,
3274,
96,
7638,
26,
9,
12033,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Whose WSOP earnings were $36,372? | CREATE TABLE table_23696862_6 (name VARCHAR, wsop_earnings VARCHAR) | SELECT name FROM table_23696862_6 WHERE wsop_earnings = "$36,372" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
3951,
3651,
4056,
834,
948,
41,
4350,
584,
4280,
28027,
6,
3,
210,
7,
32,
102,
834,
2741,
29,
53,
7,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
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,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
564,
21680,
953,
834,
2773,
3951,
3651,
4056,
834,
948,
549,
17444,
427,
3,
210,
7,
32,
102,
834,
2741,
29,
53,
7,
3274,
96,
3229,
3420,
6,
4118,
357,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Find the names of all modern rooms with a base price below $160 and two beds. | CREATE TABLE reservations (
code number,
room text,
checkin text,
checkout text,
rate number,
lastname text,
firstname text,
adults number,
kids number
)
CREATE TABLE rooms (
roomid text,
roomname text,
beds number,
bedtype text,
maxoccupancy number,
baseprice number,
decor text
) | SELECT roomname FROM rooms WHERE baseprice < 160 AND beds = 2 AND decor = 'modern' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
17653,
41,
1081,
381,
6,
562,
1499,
6,
691,
77,
1499,
6,
15912,
1499,
6,
1080,
381,
6,
336,
4350,
1499,
6,
166,
4350,
1499,
6,
3513,
381,
6,
1082,
381,
3,
61,
3,
32102,
32103,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
562,
4350,
21680,
2801,
549,
17444,
427,
1247,
102,
4920,
3,
2,
11321,
3430,
8326,
3274,
204,
3430,
4469,
3274,
3,
31,
18306,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Give me a bar chart to show how many dates with a max temperature greater than or equal to 80 for each day. | CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
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,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches NUMERIC,
mean_sea_level_pressure_inches NUMERIC,
min_sea_level_pressure_inches NUMERIC,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches INTEGER,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code INTEGER
)
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
) | SELECT date, COUNT(date) FROM weather WHERE max_temperature_f >= 80 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1469,
41,
3,
23,
26,
3,
21342,
17966,
6,
8659,
3,
21342,
17966,
6,
456,
834,
5522,
3,
3463,
4,
382,
6,
456,
834,
6682,
834,
4350,
3,
3463,
4,
382,
6,
456,
834,
6682,
834,
23,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
833,
6,
2847,
17161,
599,
5522,
61,
21680,
1969,
549,
17444,
427,
9858,
834,
21010,
15,
834,
89,
2490,
2423,
2775,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
WHAT WAS THE NUMBER OF THE ONLY FORWARD-CENTER TO MAKE THE ROSTER? | CREATE TABLE table_15621965_18 (no INTEGER, position VARCHAR) | SELECT MIN(no) FROM table_15621965_18 WHERE position = "Forward-Center" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
4056,
2294,
4122,
834,
2606,
41,
29,
32,
3,
21342,
17966,
6,
1102,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
21665,
7896,
134,
1853,
445,
6122,
12920,
3347,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
29,
32,
61,
21680,
953,
834,
1808,
4056,
2294,
4122,
834,
2606,
549,
17444,
427,
1102,
3274,
96,
3809,
2239,
18,
24382,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many items were recorded marseille (32 draw) was a 2 seed? | CREATE TABLE table_20711545_1 (marseille__32_draw_ VARCHAR, seed VARCHAR) | SELECT COUNT(marseille__32_draw_) FROM table_20711545_1 WHERE seed = 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26426,
15660,
2128,
834,
536,
41,
1635,
7,
15955,
834,
834,
2668,
834,
19489,
834,
584,
4280,
28027,
6,
6677,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
1635,
7,
15955,
834,
834,
2668,
834,
19489,
834,
61,
21680,
953,
834,
26426,
15660,
2128,
834,
536,
549,
17444,
427,
6677,
3274,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.