NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
What is the date of the game where South Melbourne was the away team? | CREATE TABLE table_name_58 (date VARCHAR, away_team VARCHAR) | SELECT date FROM table_name_58 WHERE away_team = "south melbourne" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
5522,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
833,
13,
8,
467,
213,
1013,
9396,
47,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3449,
549,
17444,
427,
550,
834,
11650,
3274,
96,
7,
670,
107,
3,
2341,
26255,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the average car number of all the drivers with 109 points? | CREATE TABLE table_name_12 (car__number INTEGER, points VARCHAR) | SELECT AVG(car__number) FROM table_name_12 WHERE points = "109" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
1720,
834,
834,
5525,
1152,
3,
21342,
17966,
6,
979,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1348,
443,
381,
13,
66,
8,
3863,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
71,
17217,
599,
1720,
834,
834,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
979,
3274,
96,
17304,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
which game was later at night , fiu or northern colorado ? | CREATE TABLE table_204_168 (
id number,
"date" text,
"time" text,
"opponent" text,
"site" text,
"tv" text,
"result" text,
"attendance" number,
"record" text
) | SELECT "opponent" FROM table_204_168 WHERE "opponent" IN ('fiu', 'northern colorado') ORDER BY "time" DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
24274,
41,
3,
23,
26,
381,
6,
96,
5522,
121,
1499,
6,
96,
715,
121,
1499,
6,
96,
32,
102,
9977,
121,
1499,
6,
96,
3585,
121,
1499,
6,
96,
17,
208,
121,
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,
96,
32,
102,
9977,
121,
21680,
953,
834,
26363,
834,
24274,
549,
17444,
427,
96,
32,
102,
9977,
121,
3388,
41,
31,
89,
23,
76,
31,
6,
3,
31,
29,
127,
189,
49,
29,
945,
9,
26,
32,
31,
61,
4674,
11300,
272,
47... |
What is the rank for the period of 1973 89, with less than 423 games. | CREATE TABLE table_43921 (
"Rank" real,
"Name" text,
"Period" text,
"Games" real,
"Goals" text
) | SELECT SUM("Rank") FROM table_43921 WHERE "Period" = '1973–89' AND "Games" < '423' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3288,
2658,
41,
96,
22557,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
12988,
23,
32,
26,
121,
1499,
6,
96,
23055,
7,
121,
490,
6,
96,
6221,
5405,
121,
1499,
3,
61,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
121,
22557,
8512,
21680,
953,
834,
591,
3288,
2658,
549,
17444,
427,
96,
12988,
23,
32,
26,
121,
3274,
3,
31,
2294,
4552,
104,
3914,
31,
3430,
96,
23055,
7,
121,
3,
2,
3,
31,
591,
2773,
31,
1,
... |
What event placed bronze earlier than 1987? | CREATE TABLE table_name_16 (event VARCHAR, placed VARCHAR, year VARCHAR) | SELECT event FROM table_name_16 WHERE placed = "bronze" AND year < 1987 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2938,
41,
15,
2169,
584,
4280,
28027,
6,
2681,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
605,
2681,
13467,
2283,
145,
127... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
605,
21680,
953,
834,
4350,
834,
2938,
549,
17444,
427,
2681,
3274,
96,
13711,
776,
121,
3430,
215,
3,
2,
12701,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Name the song title for europe | CREATE TABLE table_22457674_1 (
song_title VARCHAR,
artist VARCHAR
) | SELECT song_title FROM table_22457674_1 WHERE artist = "Europe" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2884,
2128,
3959,
4581,
834,
536,
41,
2324,
834,
21869,
584,
4280,
28027,
6,
2377,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
2324,
2233,
21,
3,
28188,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2324,
834,
21869,
21680,
953,
834,
2884,
2128,
3959,
4581,
834,
536,
549,
17444,
427,
2377,
3274,
96,
11351,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
WHAT IS THE LOWEST $50-1/2 OZ COIN WITH A 1997 YEAR AND $25-1/4 OZ LARGER THAN $27,100? | CREATE TABLE table_name_59 (MIN VARCHAR, year VARCHAR, $25___1_4_oz VARCHAR) | SELECT MIN AS $50___1_2_oz FROM table_name_59 WHERE year = 1997 AND $25___1_4_oz > 27 OFFSET 100 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3390,
41,
17684,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
14685,
834,
834,
834,
536,
834,
591,
834,
32,
172,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
6157,
13309,
834,
834,
834,
536,
834,
357,
834,
32,
172,
21680,
953,
834,
4350,
834,
3390,
549,
17444,
427,
215,
3274,
6622,
3430,
14685,
834,
834,
834,
536,
834,
591,
834,
32,
172,
2490,
2307,
3,
15316,
... |
Name the seans team being 13 november 2008 | CREATE TABLE table_25936 (
"Episode" text,
"First broadcast" text,
"Seans team" text,
"Jasons team" text,
"Scores" text
) | SELECT "Seans team" FROM table_25936 WHERE "First broadcast" = '13 November 2008' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3390,
3420,
41,
96,
427,
102,
159,
32,
221,
121,
1499,
6,
96,
25171,
6878,
121,
1499,
6,
96,
134,
15,
3247,
372,
121,
1499,
6,
96,
683,
9,
6577,
372,
121,
1499,
6,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
15,
3247,
372,
121,
21680,
953,
834,
357,
3390,
3420,
549,
17444,
427,
96,
25171,
6878,
121,
3274,
3,
31,
2368,
1671,
2628,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
The rounds of 1-2, 4-10, 12 belong to which entrant? | CREATE TABLE table_10909 (
"Entrant" text,
"Constructor" text,
"Chassis" text,
"Tyre" text,
"Driver" text,
"Rounds" text
) | SELECT "Entrant" FROM table_10909 WHERE "Rounds" = '1-2, 4-10, 12' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17304,
4198,
41,
96,
16924,
3569,
121,
1499,
6,
96,
4302,
7593,
127,
121,
1499,
6,
96,
3541,
6500,
7,
121,
1499,
6,
96,
382,
63,
60,
121,
1499,
6,
96,
20982,
52,
121,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
16924,
3569,
121,
21680,
953,
834,
17304,
4198,
549,
17444,
427,
96,
448,
32,
1106,
7,
121,
3274,
3,
31,
9596,
6,
314,
4536,
6,
586,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the stadium for the game held on October 31? | CREATE TABLE table_name_61 (stadium VARCHAR, date VARCHAR) | SELECT stadium FROM table_name_61 WHERE date = "october 31" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
2427,
12925,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
14939,
21,
8,
467,
1213,
30,
1797,
2664,
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,
14939,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
833,
3274,
96,
32,
75,
235,
1152,
2664,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which location led to a decision and a record of 1-2? | CREATE TABLE table_name_36 (
location VARCHAR,
method VARCHAR,
record VARCHAR
) | SELECT location FROM table_name_36 WHERE method = "decision" AND record = "1-2" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
1128,
584,
4280,
28027,
6,
1573,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
1128,
2237,
12,
3,
9,
1357,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1128,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
1573,
3274,
96,
221,
18901,
121,
3430,
1368,
3274,
96,
9596,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
bruce bowen and mark madsen both played what position ? | CREATE TABLE table_203_622 (
id number,
"date" text,
"team" text,
"name" text,
"position" text,
"years in nba" number,
"notes" text
) | SELECT "position" FROM table_203_622 WHERE "name" = 'bruce bowen' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
4056,
357,
41,
3,
23,
26,
381,
6,
96,
5522,
121,
1499,
6,
96,
11650,
121,
1499,
6,
96,
4350,
121,
1499,
6,
96,
4718,
121,
1499,
6,
96,
1201,
7,
16,
3,
29,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4718,
121,
21680,
953,
834,
23330,
834,
4056,
357,
549,
17444,
427,
96,
4350,
121,
3274,
3,
31,
9052,
565,
12543,
35,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which Year(s) of manufacture has an Axle arrangement of 2 b n2? | CREATE TABLE table_name_92 (
year_s__of_manufacture VARCHAR,
axle_arrangement VARCHAR
) | SELECT year_s__of_manufacture FROM table_name_92 WHERE axle_arrangement = "2′b n2" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4508,
41,
215,
834,
7,
834,
834,
858,
834,
348,
76,
8717,
1462,
584,
4280,
28027,
6,
28888,
834,
291,
5517,
297,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
215,
834,
7,
834,
834,
858,
834,
348,
76,
8717,
1462,
21680,
953,
834,
4350,
834,
4508,
549,
17444,
427,
28888,
834,
291,
5517,
297,
3274,
96,
357,
17774,
115,
3,
29,
357,
121,
1,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the average Total, when Gold is 0, and when Nation is Iran? | CREATE TABLE table_name_71 (
total INTEGER,
gold VARCHAR,
nation VARCHAR
) | SELECT AVG(total) FROM table_name_71 WHERE gold = 0 AND nation = "iran" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4450,
41,
792,
3,
21342,
17966,
6,
2045,
584,
4280,
28027,
6,
2982,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1348,
9273,
6,
116,
2540,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
71,
17217,
599,
235,
1947,
61,
21680,
953,
834,
4350,
834,
4450,
549,
17444,
427,
2045,
3274,
3,
632,
3430,
2982,
3274,
96,
23,
2002,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What circuit did Luigi Villoresi win the Lausanne Grand Prix? | CREATE TABLE table_name_58 (circuit VARCHAR, winning_driver VARCHAR, name VARCHAR) | SELECT circuit FROM table_name_58 WHERE winning_driver = "luigi villoresi" AND name = "lausanne grand prix" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
15357,
21560,
584,
4280,
28027,
6,
3447,
834,
13739,
52,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
4558,
410,
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,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4558,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
3447,
834,
13739,
52,
3274,
96,
2878,
122,
23,
3,
6372,
322,
15,
7,
23,
121,
3430,
564,
3274,
96,
40,
2064,
4515,
1907,
3407,
121,
1,
-100,
-100,
-100,
-100... |
In what category was character Jacqui Mcqueen nominated before 2011? | CREATE TABLE table_10960 (
"Year" real,
"Result" text,
"Award" text,
"Category" text,
"Film or series" text,
"Character" text
) | SELECT "Category" FROM table_10960 WHERE "Character" = 'jacqui mcqueen' AND "Year" < '2011' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17304,
3328,
41,
96,
476,
2741,
121,
490,
6,
96,
20119,
121,
1499,
6,
96,
188,
2239,
121,
1499,
6,
96,
18610,
6066,
651,
121,
1499,
6,
96,
371,
173,
51,
42,
939,
121,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
18610,
6066,
651,
121,
21680,
953,
834,
17304,
3328,
549,
17444,
427,
96,
18947,
2708,
49,
121,
3274,
3,
31,
1191,
75,
1169,
3,
51,
75,
835,
35,
31,
3430,
96,
476,
2741,
121,
3,
2,
3,
31,
13907,
31,
1,
-10... |
What grid has 2 laps? | CREATE TABLE table_name_93 (
grid VARCHAR,
laps VARCHAR
) | SELECT grid FROM table_name_93 WHERE laps = "2" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
8634,
584,
4280,
28027,
6,
14941,
7,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
8634,
65,
204,
14941,
7,
58,
1,
0,
0,
0,
0,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
8634,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
14941,
7,
3274,
96,
357,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Show me team_id by acc regular season in a histogram, list by the Y-axis in desc. | CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
) | SELECT ACC_Regular_Season, Team_ID FROM basketball_match ORDER BY Team_ID DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3819,
41,
1121,
834,
4309,
16,
17,
6,
1121,
1499,
6,
10450,
1499,
6,
3,
20100,
490,
6,
71,
89,
8027,
23,
257,
1499,
6,
695,
4046,
297,
490,
6,
7486,
4350,
1499,
6,
14542,
834,
28... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
14775,
834,
17748,
4885,
834,
134,
15,
9,
739,
6,
2271,
834,
4309,
21680,
8498,
834,
19515,
4674,
11300,
272,
476,
2271,
834,
4309,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What total has a position smaller than 4, a B score higher than 9.125, and an A score less than 6.6? | CREATE TABLE table_name_89 (
total INTEGER,
a_score VARCHAR,
position VARCHAR,
b_score VARCHAR
) | SELECT AVG(total) FROM table_name_89 WHERE position < 4 AND b_score > 9.125 AND a_score < 6.6 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3914,
41,
792,
3,
21342,
17966,
6,
3,
9,
834,
7,
9022,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
6,
3,
115,
834,
7,
9022,
584,
4280,
28027,
3,
61,
3,
3210... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
235,
1947,
61,
21680,
953,
834,
4350,
834,
3914,
549,
17444,
427,
1102,
3,
2,
314,
3430,
3,
115,
834,
7,
9022,
2490,
5835,
10124,
3430,
3,
9,
834,
7,
9022,
3,
2,
3,
28833,
1,
-100,
-100,
-100,
... |
What is the Notes of the Frequency with Call sign CFUN-FM-1? | CREATE TABLE table_name_33 (
notes VARCHAR,
call_sign VARCHAR
) | SELECT notes FROM table_name_33 WHERE call_sign = "cfun-fm-1" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
3358,
584,
4280,
28027,
6,
580,
834,
6732,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2507,
7,
13,
8,
5532,
835,
11298,
28,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3358,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
580,
834,
6732,
3274,
96,
75,
89,
202,
18,
89,
51,
2292,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the position of the player from Temple? | CREATE TABLE table_name_7 (
position VARCHAR,
school_country VARCHAR
) | SELECT position FROM table_name_7 WHERE school_country = "temple" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
940,
41,
1102,
584,
4280,
28027,
6,
496,
834,
17529,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1102,
13,
8,
1959,
45,
10999,
58,
1,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1102,
21680,
953,
834,
4350,
834,
940,
549,
17444,
427,
496,
834,
17529,
3274,
96,
15076,
109,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the highest rank a team with 1 silver and less than 5 bronze medals has? | CREATE TABLE table_name_66 (
rank INTEGER,
silver VARCHAR,
bronze VARCHAR
) | SELECT MAX(rank) FROM table_name_66 WHERE silver = 1 AND bronze < 5 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
11003,
3,
21342,
17966,
6,
4294,
584,
4280,
28027,
6,
13467,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
11003,
3,
9,
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,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
6254,
61,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
4294,
3274,
209,
3430,
13467,
3,
2,
305,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the number of patients whose insurance is medicare and lab test name is amylase, body fluid? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Medicare" AND lab.label = "Amylase, Body Fluid" | [
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,... |
WHAT TRANSFER FEE HAS A TYPE OF TRANSFER FOR DOS SANTOS? | CREATE TABLE table_name_62 (
transfer_fee VARCHAR,
type VARCHAR,
name VARCHAR
) | SELECT transfer_fee FROM table_name_62 WHERE type = "transfer" AND name = "dos santos" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
2025,
834,
89,
15,
15,
584,
4280,
28027,
6,
686,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
21665,
26585,
20805,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2025,
834,
89,
15,
15,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
686,
3274,
96,
7031,
1010,
121,
3430,
564,
3274,
96,
26,
32,
7,
3,
7,
288,
32,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the highest tonnage of the ship from norway? | CREATE TABLE table_12241 (
"Date" text,
"Ship" text,
"Nationality" text,
"Tonnage" real,
"Fate" text
) | SELECT MAX("Tonnage") FROM table_12241 WHERE "Nationality" = 'norway' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20889,
4853,
41,
96,
308,
342,
121,
1499,
6,
96,
134,
10462,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
382,
106,
9761,
121,
490,
6,
96,
371,
342,
121,
1499,
3,
61... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
382,
106,
9761,
8512,
21680,
953,
834,
20889,
4853,
549,
17444,
427,
96,
24732,
485,
121,
3274,
3,
31,
29,
127,
1343,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the country associated with the date in 2003? | CREATE TABLE table_name_34 (country VARCHAR, date VARCHAR) | SELECT country FROM table_name_34 WHERE date = "2003" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3710,
41,
17529,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
684,
1968,
28,
8,
833,
16,
3888,
58,
1,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
684,
21680,
953,
834,
4350,
834,
3710,
549,
17444,
427,
833,
3274,
96,
23948,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Player has a Round larger than 5, and a School/Club Team of bethune-cookman? | CREATE TABLE table_name_52 (
player VARCHAR,
round VARCHAR,
school_club_team VARCHAR
) | SELECT player FROM table_name_52 WHERE round > 5 AND school_club_team = "bethune-cookman" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
1959,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
496,
834,
13442,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
12387,
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,
1959,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
1751,
2490,
305,
3430,
496,
834,
13442,
834,
11650,
3274,
96,
346,
189,
444,
18,
509,
1825,
348,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many patients whose admission type is newborn and drug route is po/ng? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title 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 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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "NEWBORN" AND prescriptions.route = "PO/NG" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
18730,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
In which year was the Pick #46? | CREATE TABLE table_12184 (
"Draft" text,
"Round" text,
"Pick" text,
"Nationality" text,
"Position" text,
"College/High School/Club" text
) | SELECT "Draft" FROM table_12184 WHERE "Pick" = '46' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2122,
25987,
41,
96,
308,
10913,
121,
1499,
6,
96,
448,
32,
1106,
121,
1499,
6,
96,
345,
3142,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
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,
96,
308,
10913,
121,
21680,
953,
834,
2122,
25987,
549,
17444,
427,
96,
345,
3142,
121,
3274,
3,
31,
4448,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
If the grid is 13 who is driving? | CREATE TABLE table_53350 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
) | SELECT "Driver" FROM table_53350 WHERE "Grid" = '13' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4867,
16975,
41,
96,
20982,
52,
121,
1499,
6,
96,
4302,
7593,
127,
121,
1499,
6,
96,
3612,
102,
7,
121,
490,
6,
96,
13368,
87,
1649,
11809,
26,
121,
1499,
6,
96,
13313,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
20982,
52,
121,
21680,
953,
834,
4867,
16975,
549,
17444,
427,
96,
13313,
26,
121,
3274,
3,
31,
2368,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the report of Mike Hawthorn's winning race? | CREATE TABLE table_1140113_5 (report VARCHAR, winning_driver VARCHAR) | SELECT report FROM table_1140113_5 WHERE winning_driver = "Mike Hawthorn" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2596,
20016,
2368,
834,
755,
41,
60,
1493,
584,
4280,
28027,
6,
3447,
834,
13739,
52,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
934,
13,
4794,
1626,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
934,
21680,
953,
834,
2596,
20016,
2368,
834,
755,
549,
17444,
427,
3447,
834,
13739,
52,
3274,
96,
329,
5208,
1626,
210,
17,
6293,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
With a Tally of 0-14, what is the Rank in Kilkenny County? | CREATE TABLE table_69894 (
"Rank" real,
"Player" text,
"County" text,
"Tally" text,
"Total" real,
"Opposition" text
) | SELECT COUNT("Rank") FROM table_69894 WHERE "County" = 'kilkenny' AND "Tally" = '0-14' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3951,
3914,
591,
41,
96,
22557,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
10628,
63,
121,
1499,
6,
96,
382,
1427,
121,
1499,
6,
96,
3696,
1947,
121,
490,
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,
2847,
17161,
599,
121,
22557,
8512,
21680,
953,
834,
3951,
3914,
591,
549,
17444,
427,
96,
10628,
63,
121,
3274,
3,
31,
157,
173,
9376,
63,
31,
3430,
96,
382,
1427,
121,
3274,
3,
31,
632,
11590,
31,
1,
-100,
-100,... |
Name the 2008 for wta premier mandatory tournaments of 2007 | CREATE TABLE table_name_77 (Id VARCHAR) | SELECT 2008 FROM table_name_77 WHERE 2007 = "wta premier mandatory tournaments" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4013,
41,
196,
26,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
2628,
21,
3,
210,
17,
9,
2761,
13488,
5892,
7,
13,
4101,
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,
2628,
21680,
953,
834,
4350,
834,
4013,
549,
17444,
427,
4101,
3274,
96,
210,
17,
9,
2761,
13488,
5892,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the lowest Seats 2010 which has Seats 2005 smaller than 9, and a Governorate of al muthanna governorate, and an In/de-creased by larger than 2? | CREATE TABLE table_name_46 (
seats_2010 INTEGER,
in_de_creased_by VARCHAR,
seats_2005 VARCHAR,
governorate VARCHAR
) | SELECT MIN(seats_2010) FROM table_name_46 WHERE seats_2005 < 9 AND governorate = "al muthanna governorate" AND in_de_creased_by > 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4448,
41,
6116,
834,
14926,
3,
21342,
17966,
6,
16,
834,
221,
834,
24706,
26,
834,
969,
584,
4280,
28027,
6,
6116,
834,
22594,
584,
4280,
28027,
6,
13062,
342,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
7,
1544,
7,
834,
14926,
61,
21680,
953,
834,
4350,
834,
4448,
549,
17444,
427,
6116,
834,
22594,
3,
2,
668,
3430,
13062,
342,
3274,
96,
138,
4035,
189,
10878,
13062,
342,
121,
3430,
16,
834,
221,
83... |
What type of state did the ruler have a title? | CREATE TABLE table_name_54 (type VARCHAR, title VARCHAR) | SELECT type FROM table_name_54 WHERE title = "ruler" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5062,
41,
6137,
584,
4280,
28027,
6,
2233,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
686,
13,
538,
410,
8,
21893,
43,
3,
9,
2233,
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,
686,
21680,
953,
834,
4350,
834,
5062,
549,
17444,
427,
2233,
3274,
96,
5155,
49,
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 tie no for the away team altrincham? | CREATE TABLE table_name_59 (tie_no VARCHAR, away_team VARCHAR) | SELECT tie_no FROM table_name_59 WHERE away_team = "altrincham" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3390,
41,
17,
23,
15,
834,
29,
32,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
6177,
150,
21,
8,
550... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6177,
834,
29,
32,
21680,
953,
834,
4350,
834,
3390,
549,
17444,
427,
550,
834,
11650,
3274,
96,
138,
1788,
29,
17788,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how much greater is the population of argir than glyvrar ? | CREATE TABLE table_203_568 (
id number,
"town/village" text,
"population" number,
"postal code" text,
"municipality" text,
"island" text,
"location" text
) | SELECT (SELECT "population" FROM table_203_568 WHERE "town/village" = 'argir') - (SELECT "population" FROM table_203_568 WHERE "town/village" = 'glyvrar') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
755,
3651,
41,
3,
23,
26,
381,
6,
96,
3540,
87,
208,
17614,
121,
1499,
6,
96,
9791,
7830,
121,
381,
6,
96,
5950,
138,
1081,
121,
1499,
6,
96,
11760,
3389,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
41,
23143,
14196,
96,
9791,
7830,
121,
21680,
953,
834,
23330,
834,
755,
3651,
549,
17444,
427,
96,
3540,
87,
208,
17614,
121,
3274,
3,
31,
291,
9427,
31,
61,
3,
18,
41,
23143,
14196,
96,
9791,
7830,
121,
21680,
9... |
what is the number of the episode in the season whose production code is 101? | CREATE TABLE table_28358487_3 (
no VARCHAR,
production_code VARCHAR
) | SELECT COUNT(no) FROM table_28358487_3 WHERE production_code = 101 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
2469,
4608,
4225,
834,
519,
41,
150,
584,
4280,
28027,
6,
999,
834,
4978,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
381,
13,
8,
5640,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
29,
32,
61,
21680,
953,
834,
2577,
2469,
4608,
4225,
834,
519,
549,
17444,
427,
999,
834,
4978,
3274,
13736,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what is the number of patients whose admission year is less than 2170 and drug name is clopidogrel bisulfate? | 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 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
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2170" AND prescriptions.drug = "Clopidogrel Bisulfate" | [
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,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
When the Tier is listed as tier iii, who is the Winner? | CREATE TABLE table_name_79 (winner VARCHAR, tier VARCHAR) | SELECT winner FROM table_name_79 WHERE tier = "tier iii" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4440,
41,
3757,
687,
584,
4280,
28027,
6,
3,
3276,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
8,
6669,
19,
2616,
38,
3,
3276,
3,
23,
23,
23,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4668,
21680,
953,
834,
4350,
834,
4440,
549,
17444,
427,
3,
3276,
3274,
96,
3276,
3,
23,
23,
23,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
how many points did robbie mcewen and cristian moreni score together ? | CREATE TABLE table_202_22 (
id number,
"rank" number,
"rider" text,
"team" text,
"points" number
) | SELECT (SELECT "points" FROM table_202_22 WHERE "rider" = 'robbie mcewen') + (SELECT "points" FROM table_202_22 WHERE "rider" = 'cristian moreni') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19818,
834,
2884,
41,
3,
23,
26,
381,
6,
96,
6254,
121,
381,
6,
96,
4055,
49,
121,
1499,
6,
96,
11650,
121,
1499,
6,
96,
2700,
7,
121,
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,
41,
23143,
14196,
96,
2700,
7,
121,
21680,
953,
834,
19818,
834,
2884,
549,
17444,
427,
96,
4055,
49,
121,
3274,
3,
31,
5840,
4232,
3,
51,
565,
210,
35,
31,
61,
1768,
41,
23143,
14196,
96,
2700,
7,
121,
21680,
9... |
Who was the opponent with a 32-25 record? | CREATE TABLE table_63633 (
"Game" text,
"Date" text,
"Opponent" text,
"Score" text,
"Location/Attendance" text,
"Record" text
) | SELECT "Opponent" FROM table_63633 WHERE "Record" = '32-25' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3891,
3891,
519,
41,
96,
23055,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
434,
32,
75,
257,
87,
188,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
667,
102,
9977,
121,
21680,
953,
834,
3891,
3891,
519,
549,
17444,
427,
96,
1649,
7621,
121,
3274,
3,
31,
2668,
14855,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the size of the team that was previously from Central Indiana conference, and is in IHSSA Class 4a? | CREATE TABLE table_name_81 (size VARCHAR, ihsaa_class VARCHAR, previous_conference VARCHAR) | SELECT size FROM table_name_81 WHERE ihsaa_class = "4a" AND previous_conference = "central indiana" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
7991,
584,
4280,
28027,
6,
3,
23,
107,
7,
9,
9,
834,
4057,
584,
4280,
28027,
6,
1767,
834,
28496,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
812,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
3,
23,
107,
7,
9,
9,
834,
4057,
3274,
96,
591,
9,
121,
3430,
1767,
834,
28496,
3274,
96,
20071,
16,
8603,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
how many american indian/alaska native patients were born before the year 2130? | 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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND demographic.dob_year < "2130" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
15,
189,
2532,
485,
3274,
96,
17683,
5593,
11425,
3,
13885,
21758,
87,
23634,
134,
12048,
3,
25271... |
When westcott is in division one how many leagues are in division 5? | CREATE TABLE table_24575253_4 (division_five VARCHAR, division_one VARCHAR) | SELECT COUNT(division_five) FROM table_24575253_4 WHERE division_one = "Westcott" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
3436,
5373,
4867,
834,
591,
41,
26,
23,
6610,
834,
16443,
584,
4280,
28027,
6,
4889,
834,
782,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
4653,
10405,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
26,
23,
6610,
834,
16443,
61,
21680,
953,
834,
2266,
3436,
5373,
4867,
834,
591,
549,
17444,
427,
4889,
834,
782,
3274,
96,
19069,
10405,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who were all candidate when incumbent was D. Wyatt Aiken? | CREATE TABLE table_1431467_4 (candidates VARCHAR, incumbent VARCHAR) | SELECT candidates FROM table_1431467_4 WHERE incumbent = "D. Wyatt Aiken" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25133,
2534,
3708,
834,
591,
41,
1608,
12416,
6203,
584,
4280,
28027,
6,
28406,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
130,
66,
4775,
116,
28406,
47,
309,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4341,
21680,
953,
834,
25133,
2534,
3708,
834,
591,
549,
17444,
427,
28406,
3274,
96,
308,
5,
11314,
144,
17,
71,
23,
2217,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many lowest mark entries are there when % passed is 76? | CREATE TABLE table_29842201_1 (
lowest_mark VARCHAR,
_percentage_pass VARCHAR
) | SELECT COUNT(lowest_mark) FROM table_29842201_1 WHERE _percentage_pass = 76 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3166,
4608,
357,
22772,
834,
536,
41,
7402,
834,
3920,
584,
4280,
28027,
6,
3,
834,
883,
3728,
545,
834,
3968,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3216,
222,
834,
3920,
61,
21680,
953,
834,
3166,
4608,
357,
22772,
834,
536,
549,
17444,
427,
3,
834,
883,
3728,
545,
834,
3968,
3274,
3,
3959,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the pole position for marlboro challenge? | CREATE TABLE table_name_47 (pole_position VARCHAR, race_name VARCHAR) | SELECT pole_position FROM table_name_47 WHERE race_name = "marlboro challenge" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4177,
41,
14332,
834,
4718,
584,
4280,
28027,
6,
1964,
834,
4350,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
11148,
1102,
21,
3157,
40,
14901... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11148,
834,
4718,
21680,
953,
834,
4350,
834,
4177,
549,
17444,
427,
1964,
834,
4350,
3274,
96,
1635,
40,
14901,
1921,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the callback date for amway arena | CREATE TABLE table_22897967_1 (callback_date VARCHAR, audition_venue VARCHAR) | SELECT callback_date FROM table_22897967_1 WHERE audition_venue = "Amway Arena" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2884,
3914,
4440,
3708,
834,
536,
41,
16482,
1549,
834,
5522,
584,
4280,
28027,
6,
21042,
834,
15098,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
580,
1549,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
580,
1549,
834,
5522,
21680,
953,
834,
2884,
3914,
4440,
3708,
834,
536,
549,
17444,
427,
21042,
834,
15098,
3274,
96,
8123,
1343,
14904,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What date has a Decision of osgood, and a Score of 3 4? | CREATE TABLE table_15270 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Attendance" real,
"Record" text
) | SELECT "Date" FROM table_15270 WHERE "Decision" = 'osgood' AND "Score" = '3 – 4' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
17485,
41,
96,
308,
342,
121,
1499,
6,
96,
553,
159,
155,
127,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
19040,
121,
1499,
6,
96,
2962,
18901,
121,
1499,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
342,
121,
21680,
953,
834,
1808,
17485,
549,
17444,
427,
96,
2962,
18901,
121,
3274,
3,
31,
32,
7,
10452,
31,
3430,
96,
134,
9022,
121,
3274,
3,
31,
519,
3,
104,
314,
31,
1,
-100,
-100,
-100,
-100,
-100... |
Which Director has an Episode of 13? | CREATE TABLE table_name_17 (director VARCHAR, episode VARCHAR) | SELECT director FROM table_name_17 WHERE episode = 13 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2517,
41,
25982,
584,
4280,
28027,
6,
5640,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
2578,
65,
46,
16112,
13,
1179,
58,
1,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2090,
21680,
953,
834,
4350,
834,
2517,
549,
17444,
427,
5640,
3274,
1179,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the event of the match with a round larger than 2 and ended with a method of ko (kick)? | CREATE TABLE table_name_39 (event VARCHAR, round VARCHAR, method VARCHAR) | SELECT event FROM table_name_39 WHERE round > 2 AND method = "ko (kick)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
15,
2169,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
1573,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
605,
13,
8,
1588,
28,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
605,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
1751,
2490,
204,
3430,
1573,
3274,
96,
157,
32,
41,
157,
3142,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many tries for, for club cambrian welfare rfc? | CREATE TABLE table_15467476_3 (tries_for VARCHAR, club VARCHAR) | SELECT tries_for FROM table_15467476_3 WHERE club = "Cambrian Welfare RFC" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
4448,
4581,
3959,
834,
519,
41,
9000,
834,
1161,
584,
4280,
28027,
6,
1886,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
3,
9000,
21,
6,
21,
1886,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
9000,
834,
1161,
21680,
953,
834,
1808,
4448,
4581,
3959,
834,
519,
549,
17444,
427,
1886,
3274,
96,
254,
265,
2160,
152,
30132,
391,
5390,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Poland has what notes? | CREATE TABLE table_name_75 (notes VARCHAR, country VARCHAR) | SELECT notes FROM table_name_75 WHERE country = "poland" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
7977,
7,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
14354,
65,
125,
3358,
58,
1,
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,
3358,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
684,
3274,
96,
3233,
232,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which win has 38.67% wins? | CREATE TABLE table_name_71 (wins VARCHAR, win__percentage VARCHAR) | SELECT wins FROM table_name_71 WHERE win__percentage = "38.67%" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4450,
41,
3757,
7,
584,
4280,
28027,
6,
1369,
834,
834,
883,
3728,
545,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
1369,
65,
6654,
5,
3708,
1454,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9204,
21680,
953,
834,
4350,
834,
4450,
549,
17444,
427,
1369,
834,
834,
883,
3728,
545,
3274,
96,
3747,
5,
3708,
1454,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
what is minimum age of patients whose marital status is married and admission location is phys referral/normal deli? | 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 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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
1635,
9538,
834,
8547,
302,
3274,
96,
13845,
25858,
308,
121,
3430,
14798,
5,
9,
26,
5451,
834,
14836,
3274,
96,
8023,
476,
134,
4083,... |
What is the name of the player that was Pick 15? | CREATE TABLE table_name_8 (player VARCHAR, pick__number VARCHAR) | SELECT player FROM table_name_8 WHERE pick__number = "15" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
20846,
584,
4280,
28027,
6,
1432,
834,
834,
5525,
1152,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
564,
13,
8,
1959,
24,
47,
8356,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1959,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
1432,
834,
834,
5525,
1152,
3274,
96,
1808,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is average age of patients whose gender is m and primary disease is brain mass;intracranial hemorrhage? | 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 AVG(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14798,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
564,
1499,
6,
2774,
1947,
834,
8547,
302,
1499,
6,
1246,
1499,
6,
103,
115,
1499,
6,
7285,
1499,
6,
1612,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
122,
3868,
3274,
96,
329,
121,
3430,
14798,
5,
25930,
4844,
159,
3274,
96,
22899,
3162,
4800,
4256,
117,
13777,
22034,
16375,
15397,
3,... |
Sport of gaelic football and hurling is what league? | CREATE TABLE table_36908 (
"Club" text,
"Sport" text,
"Founded" real,
"League" text,
"Venue" text,
"Head Coach" text
) | SELECT "League" FROM table_36908 WHERE "Sport" = 'gaelic football and hurling' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3420,
2394,
927,
41,
96,
254,
11158,
121,
1499,
6,
96,
17682,
121,
1499,
6,
96,
20100,
121,
490,
6,
96,
2796,
9,
5398,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
2796,
9,
5398,
121,
21680,
953,
834,
3420,
2394,
927,
549,
17444,
427,
96,
17682,
121,
3274,
3,
31,
122,
9,
15,
2176,
3370,
11,
3,
10666,
697,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Band of am, and a Frequency of 0 846 has what purpose? | CREATE TABLE table_name_18 (
purpose VARCHAR,
band VARCHAR,
frequency VARCHAR
) | SELECT purpose FROM table_name_18 WHERE band = "am" AND frequency = "0 846" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2606,
41,
1730,
584,
4280,
28027,
6,
1928,
584,
4280,
28027,
6,
7321,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4483,
13,
183,
6,
11,
3,
9,
5532,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1730,
21680,
953,
834,
4350,
834,
2606,
549,
17444,
427,
1928,
3274,
96,
265,
121,
3430,
7321,
3274,
96,
632,
505,
4448,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the winning driver for havana | CREATE TABLE table_name_15 (
winning_driver VARCHAR,
circuit VARCHAR
) | SELECT winning_driver FROM table_name_15 WHERE circuit = "havana" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
3447,
834,
13739,
52,
584,
4280,
28027,
6,
4558,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
3447,
2535,
21,
4244,
2132,
9,
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,
3447,
834,
13739,
52,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
4558,
3274,
96,
1024,
2132,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many points against did the club with a losing bonus of 3 and 84 tries have? | CREATE TABLE table_80434 (
"Club" text,
"Played" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text,
"Losing bonus" text,
"Points" text
) | SELECT "Points against" FROM table_80434 WHERE "Losing bonus" = '3' AND "Tries for" = '84' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2079,
591,
3710,
41,
96,
254,
11158,
121,
1499,
6,
96,
15800,
15,
26,
121,
1499,
6,
96,
308,
10936,
29,
121,
1499,
6,
96,
434,
3481,
121,
1499,
6,
96,
22512,
7,
21,
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,
22512,
7,
581,
121,
21680,
953,
834,
2079,
591,
3710,
549,
17444,
427,
96,
434,
32,
7,
53,
4023,
121,
3274,
3,
31,
519,
31,
3430,
96,
382,
2593,
21,
121,
3274,
3,
31,
4608,
31,
1,
-100,
-100,
-100,
-100,
-... |
Which Swimming has a Total larger than 35, and a Volleyball of 1? | CREATE TABLE table_name_96 (
swimming VARCHAR,
total VARCHAR,
volleyball VARCHAR
) | SELECT swimming FROM table_name_96 WHERE total > 35 AND volleyball = "1" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
5989,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
6,
26081,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
27223,
65,
3,
9,
9273,
2186,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5989,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
792,
2490,
3097,
3430,
26081,
3274,
96,
536,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
count the number of patients who left the hospital against medical advice. | 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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" | [
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,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
26,
159,
7993,
834,
14836,
3274,
96,
3765,
6245,
8859,
13570,
4209,
3,
21357,
23936,
8502,
7765,
1... |
Who had the most high points and rebounds than charles oakley (9)? | CREATE TABLE table_13812785_8 (high_points VARCHAR, high_rebounds VARCHAR) | SELECT high_points FROM table_13812785_8 WHERE high_rebounds = "Charles Oakley (9)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22744,
22367,
4433,
834,
927,
41,
6739,
834,
2700,
7,
584,
4280,
28027,
6,
306,
834,
23768,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
141,
8,
167,
306,
979,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
306,
834,
2700,
7,
21680,
953,
834,
22744,
22367,
4433,
834,
927,
549,
17444,
427,
306,
834,
23768,
3274,
96,
18947,
965,
7858,
1306,
41,
11728,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What episode did Pamela Anderson guest host. | CREATE TABLE table_1590967_7 (episode_number VARCHAR, guest_host VARCHAR) | SELECT COUNT(episode_number) FROM table_1590967_7 WHERE guest_host = "Pamela Anderson" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27904,
4198,
3708,
834,
940,
41,
15,
102,
159,
32,
221,
834,
5525,
1152,
584,
4280,
28027,
6,
3886,
834,
12675,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
5640... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15,
102,
159,
32,
221,
834,
5525,
1152,
61,
21680,
953,
834,
27904,
4198,
3708,
834,
940,
549,
17444,
427,
3886,
834,
12675,
3274,
96,
345,
9,
2341,
9,
11825,
121,
1,
-100,
-100,
-100,
-100,
-100,
... |
how many ACL papers by author | CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
) | SELECT DISTINCT COUNT(paper.paperid), writes.authorid FROM paper, venue, writes WHERE venue.venueid = paper.venueid AND venue.venuename = 'ACL' AND writes.paperid = paper.paperid GROUP BY writes.authorid | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
11858,
41,
1040,
23,
26,
16,
17,
6,
2291,
23,
26,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
2291,
41,
2291,
23,
26,
16,
17,
6,
2291,
4350,
3,
4331,
4059... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
19587,
5,
19587,
23,
26,
201,
11858,
5,
17415,
23,
26,
21680,
1040,
6,
5669,
6,
11858,
549,
17444,
427,
5669,
5,
15098,
23,
26,
3274,
1040,
5,
15098,
23,
26,
3430,
5669,
5,... |
What's the average Year for the Position of 7th (sf)? | CREATE TABLE table_68158 (
"Year" real,
"Competition" text,
"Venue" text,
"Position" text,
"Event" text
) | SELECT AVG("Year") FROM table_68158 WHERE "Position" = '7th (sf)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3651,
26556,
41,
96,
476,
2741,
121,
490,
6,
96,
5890,
4995,
4749,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
427,
2169,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
121,
476,
2741,
8512,
21680,
953,
834,
3651,
26556,
549,
17444,
427,
96,
345,
32,
7,
4749,
121,
3274,
3,
31,
940,
189,
41,
7,
89,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the score of the away team that played at Kardinia Park? | CREATE TABLE table_name_33 (
away_team VARCHAR,
venue VARCHAR
) | SELECT away_team AS score FROM table_name_33 WHERE venue = "kardinia park" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
550,
834,
11650,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2604,
13,
8,
550,
372,
24,
1944,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
550,
834,
11650,
6157,
2604,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
5669,
3274,
96,
4031,
2644,
23,
9,
2447,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the most number of families among regions where the population is made up of 5.8% deportees? | CREATE TABLE table_16048129_5 (number_of_families INTEGER, _percentage_of_total_deportees VARCHAR) | SELECT MAX(number_of_families) FROM table_16048129_5 WHERE _percentage_of_total_deportees = "5.8" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19129,
3707,
22174,
834,
755,
41,
5525,
1152,
834,
858,
834,
89,
3690,
4664,
3,
21342,
17966,
6,
3,
834,
883,
3728,
545,
834,
858,
834,
235,
1947,
834,
221,
1493,
15,
15,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
5525,
1152,
834,
858,
834,
89,
3690,
4664,
61,
21680,
953,
834,
19129,
3707,
22174,
834,
755,
549,
17444,
427,
3,
834,
883,
3728,
545,
834,
858,
834,
235,
1947,
834,
221,
1493,
15,
15,
7,
3274,
96,
... |
What is Division One's average Other Apps, with a League Goal less than 1? | CREATE TABLE table_52682 (
"Division" text,
"League Apps (Sub)" real,
"League Goals" real,
"FA Cup Apps (Sub)" text,
"FA Cup Goals" real,
"FL Cup Apps (Sub)" real,
"FL Cup Goals" real,
"Other Apps" real,
"Other Goals" real,
"Total Apps (Sub)" text,
"Total Goals" real
) | SELECT AVG("Other Apps") FROM table_52682 WHERE "Division" = 'one' AND "League Goals" < '1' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
5373,
3651,
357,
41,
96,
308,
23,
6610,
121,
1499,
6,
96,
2796,
9,
5398,
2276,
7,
41,
25252,
61,
121,
490,
6,
96,
2796,
9,
5398,
17916,
7,
121,
490,
6,
96,
4795,
3802,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
121,
667,
189,
49,
2276,
7,
8512,
21680,
953,
834,
5373,
3651,
357,
549,
17444,
427,
96,
308,
23,
6610,
121,
3274,
3,
31,
782,
31,
3430,
96,
2796,
9,
5398,
17916,
7,
121,
3,
2,
3,
31,
536,
31,
... |
What is the wheel arrangement for the model that was retired in 1955? | CREATE TABLE table_name_75 (
wheel_arrangement VARCHAR,
year_s__retired VARCHAR
) | SELECT wheel_arrangement FROM table_name_75 WHERE year_s__retired = "1955" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
5094,
834,
291,
5517,
297,
584,
4280,
28027,
6,
215,
834,
7,
834,
834,
10682,
1271,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5094,
834,
291,
5517,
297,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
215,
834,
7,
834,
834,
10682,
1271,
3274,
96,
22464,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the score at valley parade on 10/6/01? | CREATE TABLE table_name_74 (score VARCHAR, venue VARCHAR, date VARCHAR) | SELECT score FROM table_name_74 WHERE venue = "valley parade" AND date = "10/6/01" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4581,
41,
7,
9022,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2604,
44,
10645,
16314,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
4581,
549,
17444,
427,
5669,
3274,
96,
2165,
1306,
16314,
121,
3430,
833,
3274,
96,
1714,
18656,
87,
4542,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What CFL team did Darcy Brown play for? | CREATE TABLE table_20170644_1 (cfl_team VARCHAR, player VARCHAR) | SELECT cfl_team FROM table_20170644_1 WHERE player = "Darcy Brown" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9887,
5176,
3628,
834,
536,
41,
75,
89,
40,
834,
11650,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
205,
10765,
372,
410,
1920,
75,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
75,
89,
40,
834,
11650,
21680,
953,
834,
9887,
5176,
3628,
834,
536,
549,
17444,
427,
1959,
3274,
96,
308,
4667,
63,
3899,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who directed the episode entitled 'Shotgun'? | CREATE TABLE table_3157 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"U.S. viewers (millions)" text
) | SELECT "Directed by" FROM table_3157 WHERE "Title" = 'Shotgun' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3341,
3436,
41,
96,
4168,
5,
16,
939,
121,
490,
6,
96,
4168,
5,
16,
774,
121,
490,
6,
96,
382,
155,
109,
121,
1499,
6,
96,
23620,
15,
26,
57,
121,
1499,
6,
96,
24965,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
23620,
15,
26,
57,
121,
21680,
953,
834,
3341,
3436,
549,
17444,
427,
96,
382,
155,
109,
121,
3274,
3,
31,
134,
10718,
8765,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Where is the first class team of date of birth 20 november 1969? | CREATE TABLE table_11950720_4 (first_class_team VARCHAR, date_of_birth VARCHAR) | SELECT first_class_team FROM table_11950720_4 WHERE date_of_birth = "20 November 1969" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19993,
1752,
18517,
834,
591,
41,
14672,
834,
4057,
834,
11650,
584,
4280,
28027,
6,
833,
834,
858,
834,
20663,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2840,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
166,
834,
4057,
834,
11650,
21680,
953,
834,
19993,
1752,
18517,
834,
591,
549,
17444,
427,
833,
834,
858,
834,
20663,
3274,
96,
1755,
1671,
17185,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
WHich Venue has a Year larger than 2003, and a Position of 10th? | CREATE TABLE table_name_11 (venue VARCHAR, year VARCHAR, position VARCHAR) | SELECT venue FROM table_name_11 WHERE year > 2003 AND position = "10th" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2596,
41,
15098,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
3,
15313,
362,
29940,
65,
3,
9,
2929,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5669,
21680,
953,
834,
4350,
834,
2596,
549,
17444,
427,
215,
2490,
3888,
3430,
1102,
3274,
96,
1714,
189,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
For the Indian Wells Masters tournament, what was the country? | CREATE TABLE table_47939 (
"Tournament" text,
"Country" text,
"Location" text,
"Current Venue" text,
"Began" real,
"Court surface" text
) | SELECT "Country" FROM table_47939 WHERE "Tournament" = 'indian wells masters' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
4440,
3288,
41,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
254,
450,
5320,
29940,
121,
1499,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
10628,
651,
121,
21680,
953,
834,
591,
4440,
3288,
549,
17444,
427,
96,
382,
1211,
20205,
17,
121,
3274,
3,
31,
77,
8603,
168,
7,
2325,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
how many laps did tony stewart race in 2012 ? | CREATE TABLE table_204_604 (
id number,
"year" number,
"date" text,
"driver" text,
"team" text,
"manufacturer" text,
"race distance\nlaps" number,
"race distance\nmiles (km)" text,
"race time" text,
"average speed\n(mph)" number,
"report" text
) | SELECT "race distance\nlaps" FROM table_204_604 WHERE "driver" = 'tony stewart' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
3328,
591,
41,
3,
23,
26,
381,
6,
96,
1201,
121,
381,
6,
96,
5522,
121,
1499,
6,
96,
13739,
52,
121,
1499,
6,
96,
11650,
121,
1499,
6,
96,
348,
76,
8717,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
12614,
2357,
2,
29,
8478,
7,
121,
21680,
953,
834,
26363,
834,
3328,
591,
549,
17444,
427,
96,
13739,
52,
121,
3274,
3,
31,
17,
106,
63,
21786,
1408,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
For Team AJS, what is the total number of points for drivers with 0 wins? | CREATE TABLE table_name_49 (points VARCHAR, team VARCHAR, wins VARCHAR) | SELECT COUNT(points) FROM table_name_49 WHERE team = "ajs" AND wins < 0 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3647,
41,
2700,
7,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
6,
9204,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
242,
2271,
71,
23787,
6,
125,
19,
8,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
3647,
549,
17444,
427,
372,
3274,
96,
9,
354,
7,
121,
3430,
9204,
3,
2,
3,
632,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the country of origin of the aircraft with a registration s5-hpb? | CREATE TABLE table_name_67 (
origin VARCHAR,
registration VARCHAR
) | SELECT origin FROM table_name_67 WHERE registration = "s5-hpb" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3708,
41,
5233,
584,
4280,
28027,
6,
3816,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
684,
13,
5233,
13,
8,
6442,
28,
3,
9,
3816,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5233,
21680,
953,
834,
4350,
834,
3708,
549,
17444,
427,
3816,
3274,
96,
7,
755,
18,
107,
102,
115,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Of the teams that had more than 0 byes, what was the total number of losses? | CREATE TABLE table_name_54 (
losses VARCHAR,
byes INTEGER
) | SELECT COUNT(losses) FROM table_name_54 WHERE byes < 0 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5062,
41,
8467,
584,
4280,
28027,
6,
57,
15,
7,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
1129,
8,
2323,
24,
141,
72,
145,
3,
632,
57,
15,
7,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
2298,
2260,
61,
21680,
953,
834,
4350,
834,
5062,
549,
17444,
427,
57,
15,
7,
3,
2,
3,
632,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What kind of chassis did a winning car with a Foyt engine have in 1979? | CREATE TABLE table_1405704_1 (
chassis VARCHAR,
season VARCHAR,
engine VARCHAR
) | SELECT chassis FROM table_1405704_1 WHERE season = 1979 AND engine = "Foyt" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22012,
3436,
6348,
834,
536,
41,
22836,
584,
4280,
28027,
6,
774,
584,
4280,
28027,
6,
1948,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
773,
13,
22836,
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,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
22836,
21680,
953,
834,
22012,
3436,
6348,
834,
536,
549,
17444,
427,
774,
3274,
15393,
3430,
1948,
3274,
96,
371,
32,
63,
17,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the highest rank for a 6:52.70 time and notes of sa/b? | CREATE TABLE table_name_56 (
rank INTEGER,
notes VARCHAR,
time VARCHAR
) | SELECT MAX(rank) FROM table_name_56 WHERE notes = "sa/b" AND time = "6:52.70" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4834,
41,
11003,
3,
21342,
17966,
6,
3358,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
11003,
21,
3,
9,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
6254,
61,
21680,
953,
834,
4350,
834,
4834,
549,
17444,
427,
3358,
3274,
96,
7,
9,
87,
115,
121,
3430,
97,
3274,
96,
948,
10,
5373,
5,
2518,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many points are there for rank 5 with more than 34 games? | CREATE TABLE table_name_80 (points VARCHAR, rank VARCHAR, games VARCHAR) | SELECT COUNT(points) FROM table_name_80 WHERE rank = 5 AND games > 34 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
2700,
7,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
1031,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
979,
33,
132,
21,
11003,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2847,
17161,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
11003,
3274,
305,
3430,
1031,
2490,
6154,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
find the number of haitian speaking patients who had protein lab test. | 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
)
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.language = "HAIT" AND lab.label = "Protein" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
Who is the winning driver of the race on 5 May? | CREATE TABLE table_name_90 (winning_driver VARCHAR, date VARCHAR) | SELECT winning_driver FROM table_name_90 WHERE date = "5 may" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
8163,
834,
13739,
52,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
19,
8,
3447,
2535,
13,
8,
1964,
30,
305,
932... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3447,
834,
13739,
52,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
833,
3274,
96,
755,
164,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many goals did the player from Ipswich town score? | CREATE TABLE table_30450 (
"Player" text,
"Cap(s)" real,
"Goal(s)" real,
"International Debut" text,
"Club(s)" text
) | SELECT MIN("Goal(s)") FROM table_30450 WHERE "Club(s)" = 'Ipswich Town' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1458,
10593,
41,
96,
15800,
49,
121,
1499,
6,
96,
19566,
599,
7,
61,
121,
490,
6,
96,
6221,
138,
599,
7,
61,
121,
490,
6,
96,
27490,
374,
2780,
121,
1499,
6,
96,
254,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
121,
6221,
138,
599,
7,
61,
8512,
21680,
953,
834,
1458,
10593,
549,
17444,
427,
96,
254,
11158,
599,
7,
61,
121,
3274,
3,
31,
196,
102,
7,
210,
362,
4463,
31,
1,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the venue where the home team is Footscray? | CREATE TABLE table_name_57 (
venue VARCHAR,
home_team VARCHAR
) | SELECT venue FROM table_name_57 WHERE home_team = "footscray" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
5669,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
5669,
213,
8,
234,
372,
19,
15213,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
234,
834,
11650,
3274,
96,
6259,
7,
2935,
63,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the start address when the network number bit field is 16? | CREATE TABLE table_46699 (
"Class" text,
"Leading bits" real,
"Size of network number bit field" text,
"Size of rest bit field" text,
"Number of networks" text,
"Addresses per network" text,
"Start address" text,
"End address" text
) | SELECT "Start address" FROM table_46699 WHERE "Size of network number bit field" = '16' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3539,
3264,
41,
96,
21486,
121,
1499,
6,
96,
2796,
9,
26,
53,
14120,
121,
490,
6,
96,
134,
1737,
13,
1229,
381,
720,
1057,
121,
1499,
6,
96,
134,
1737,
13,
880,
72... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
7681,
17,
1115,
121,
21680,
953,
834,
591,
3539,
3264,
549,
17444,
427,
96,
134,
1737,
13,
1229,
381,
720,
1057,
121,
3274,
3,
31,
2938,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the country where there are 8 children per donor and no data for donor payments? | CREATE TABLE table_20601 (
"Country" text,
"Donor payment" text,
"Children per donor" text,
"Donor anonymity" text,
"Allowed recipients" text
) | SELECT "Country" FROM table_20601 WHERE "Children per donor" = '8 children' AND "Donor payment" = 'no data' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24643,
4542,
41,
96,
10628,
651,
121,
1499,
6,
96,
13843,
127,
1942,
121,
1499,
6,
96,
3541,
173,
26,
1536,
399,
18936,
121,
1499,
6,
96,
13843,
127,
19581,
485,
121,
1499,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
10628,
651,
121,
21680,
953,
834,
24643,
4542,
549,
17444,
427,
96,
3541,
173,
26,
1536,
399,
18936,
121,
3274,
3,
31,
927,
502,
31,
3430,
96,
13843,
127,
1942,
121,
3274,
3,
31,
29,
32,
331,
31,
1,
-100,
-1... |
what is the score in the 1st leg where the contest and round was in europa league play off round | CREATE TABLE table_31016 (
"Team" text,
"Contest and round" text,
"Opponent" text,
"1st leg score*" text,
"2nd leg score**" text,
"Aggregate score" text
) | SELECT COUNT("1st leg score*") FROM table_31016 WHERE "Contest and round" = 'Europa League Play Off Round' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19947,
2938,
41,
96,
18699,
121,
1499,
6,
96,
4302,
4377,
11,
1751,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
536,
7,
17,
4553,
2604,
1935,
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,
2847,
17161,
599,
121,
536,
7,
17,
4553,
2604,
1935,
8512,
21680,
953,
834,
19947,
2938,
549,
17444,
427,
96,
4302,
4377,
11,
1751,
121,
3274,
3,
31,
25670,
102,
9,
3815,
2911,
4395,
9609,
31,
1,
-100,
-100,
-100,
... |
What was the score did phoenix have with a Record of 3 6 0 at home? | CREATE TABLE table_name_88 (
score VARCHAR,
home VARCHAR,
record VARCHAR
) | SELECT score FROM table_name_88 WHERE home = "phoenix" AND record = "3–6–0" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4060,
41,
2604,
584,
4280,
28027,
6,
234,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2604,
410,
3,
9553,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
4060,
549,
17444,
427,
234,
3274,
96,
9553,
35,
2407,
121,
3430,
1368,
3274,
96,
519,
104,
948,
104,
632,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What candidates ran in the election that included john shelley? | CREATE TABLE table_1341973_6 (candidates VARCHAR, incumbent VARCHAR) | SELECT candidates FROM table_1341973_6 WHERE incumbent = "John Shelley" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
2294,
4552,
834,
948,
41,
1608,
12416,
6203,
584,
4280,
28027,
6,
28406,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
4341,
4037,
16,
8,
4356,
24,
1285,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4341,
21680,
953,
834,
23747,
2294,
4552,
834,
948,
549,
17444,
427,
28406,
3274,
96,
18300,
16040,
15,
63,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
count the number of patients whose primary disease is cerebral aneurysm/sda and drug route is iv bolus? | 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 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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND prescriptions.route = "IV BOLUS" | [
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,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
What is the lowest number of genes in Rubrobacter Xylanophilus? | CREATE TABLE table_54520 (
"Species" text,
"Strain" text,
"Type" text,
"Base Pairs" real,
"Genes" real
) | SELECT MIN("Genes") FROM table_54520 WHERE "Species" = 'rubrobacter xylanophilus' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
5062,
25356,
41,
96,
7727,
725,
121,
1499,
6,
96,
134,
9719,
121,
1499,
6,
96,
25160,
121,
1499,
6,
96,
14885,
15,
25072,
7,
121,
490,
6,
96,
13714,
15,
7,
121,
490,
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,
17684,
599,
121,
13714,
15,
7,
8512,
21680,
953,
834,
5062,
25356,
549,
17444,
427,
96,
7727,
725,
121,
3274,
3,
31,
14446,
52,
32,
19628,
3,
226,
63,
1618,
21144,
302,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the brighton cast for andrew verala | CREATE TABLE table_17085724_1 (brighton_cast VARCHAR, indianapolis_concerts VARCHAR) | SELECT brighton_cast FROM table_17085724_1 WHERE indianapolis_concerts = "Andrew Verala" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
4018,
3436,
2266,
834,
536,
41,
115,
3535,
106,
834,
5254,
584,
4280,
28027,
6,
16,
8603,
9,
15621,
834,
11620,
52,
17,
7,
584,
4280,
28027,
61,
3,
32102,
32103,
3210... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2756,
106,
834,
5254,
21680,
953,
834,
2517,
4018,
3436,
2266,
834,
536,
549,
17444,
427,
16,
8603,
9,
15621,
834,
11620,
52,
17,
7,
3274,
96,
7175,
60,
210,
781,
138,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100... |
What Torque has a Power of HP (KW)? | CREATE TABLE table_36889 (
"Year" real,
"Trim" text,
"Engine" text,
"Power" text,
"Torque" text,
"EPA (2008) City" text
) | SELECT "Torque" FROM table_36889 WHERE "Power" = 'hp (kw)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
3651,
3914,
41,
96,
476,
2741,
121,
490,
6,
96,
19310,
51,
121,
1499,
6,
96,
31477,
121,
1499,
6,
96,
23553,
121,
1499,
6,
96,
382,
127,
835,
121,
1499,
6,
96,
139... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
127,
835,
121,
21680,
953,
834,
519,
3651,
3914,
549,
17444,
427,
96,
23553,
121,
3274,
3,
31,
107,
102,
41,
157,
210,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What driver had a 15-20 record? | CREATE TABLE table_name_34 (drivers VARCHAR, races VARCHAR) | SELECT drivers FROM table_name_34 WHERE races = "15-20" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3710,
41,
13739,
52,
7,
584,
4280,
28027,
6,
10879,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
2535,
141,
3,
9,
28601,
1368,
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,
3863,
21680,
953,
834,
4350,
834,
3710,
549,
17444,
427,
10879,
3274,
96,
1808,
7988,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Name the D 41 √ for having D 43 of r 13 | CREATE TABLE table_name_20 (d_41_√ VARCHAR, d_43_o VARCHAR) | SELECT d_41_√ FROM table_name_20 WHERE d_43_o = "r 13" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
26,
834,
4853,
834,
2,
584,
4280,
28027,
6,
3,
26,
834,
4906,
834,
32,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
309,
8798,
3,
2,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
26,
834,
4853,
834,
2,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
3,
26,
834,
4906,
834,
32,
3274,
96,
52,
1179,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.