NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
What is every CFL team with the player Mark Farraway? | CREATE TABLE table_30258 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
) | SELECT "CFL Team" FROM table_30258 WHERE "Player" = 'Mark Farraway' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1458,
357,
3449,
41,
96,
345,
3142,
1713,
121,
490,
6,
96,
254,
10765,
2271,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
9939,
78... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
254,
10765,
2271,
121,
21680,
953,
834,
1458,
357,
3449,
549,
17444,
427,
96,
15800,
49,
121,
3274,
3,
31,
19762,
5186,
52,
8006,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Why did the manager who departed on August 1, 2008 leave? | CREATE TABLE table_name_84 (
reason_of_departure VARCHAR,
date_outgoing VARCHAR
) | SELECT reason_of_departure FROM table_name_84 WHERE date_outgoing = "august 1, 2008" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4608,
41,
1053,
834,
858,
834,
221,
2274,
1462,
584,
4280,
28027,
6,
833,
834,
670,
9545,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
1615,
410,
8,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1053,
834,
858,
834,
221,
2274,
1462,
21680,
953,
834,
4350,
834,
4608,
549,
17444,
427,
833,
834,
670,
9545,
3274,
96,
402,
17198,
1914,
2628,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the largest total with a Silver of 1, and a Rank larger than 7? | CREATE TABLE table_name_73 (
total INTEGER,
silver VARCHAR,
rank VARCHAR
) | SELECT MAX(total) FROM table_name_73 WHERE silver = 1 AND rank > 7 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
792,
3,
21342,
17966,
6,
4294,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2015,
792,
28,
3,
9,
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,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
235,
1947,
61,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
4294,
3274,
209,
3430,
11003,
2490,
489,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the name of the song in Amma Cheppindi? | CREATE TABLE table_name_84 (song_title VARCHAR, movie VARCHAR) | SELECT song_title FROM table_name_84 WHERE movie = "amma cheppindi" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4608,
41,
7,
2444,
834,
21869,
584,
4280,
28027,
6,
1974,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
564,
13,
8,
2324,
16,
736,
51,
9,
25... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4350,
834,
4608,
549,
17444,
427,
1974,
3274,
96,
9,
635,
9,
3,
1033,
1572,
8482,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Location when the Opponent shows vs. #23 south carolina? | CREATE TABLE table_name_83 (
location VARCHAR,
opponent VARCHAR
) | SELECT location FROM table_name_83 WHERE opponent = "vs. #23 south carolina" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
1128,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
10450,
116,
8,
4495,
9977,
1267,
3,
208,
7,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1128,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
15264,
3274,
96,
208,
7,
5,
1713,
2773,
3414,
443,
12057,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is 2nd Leg, when Team 1 is 'H'? | CREATE TABLE table_43866 (
"Team 1" text,
"Agg." text,
"Team 2" text,
"1st leg" text,
"2nd leg" text
) | SELECT "2nd leg" FROM table_43866 WHERE "Team 1" = 'h' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4906,
26750,
41,
96,
18699,
209,
121,
1499,
6,
96,
188,
4102,
535,
1499,
6,
96,
18699,
204,
121,
1499,
6,
96,
536,
7,
17,
4553,
121,
1499,
6,
96,
357,
727,
4553,
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,
357,
727,
4553,
121,
21680,
953,
834,
4906,
26750,
549,
17444,
427,
96,
18699,
209,
121,
3274,
3,
31,
107,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
how many patients with drug type additive have procedure icd9 code 4610? | 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,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "4610" AND prescriptions.drug_type = "ADDITIVE" | [
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,
4293,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
3388,
18206... |
What is the parameter when the best fit (WMAP only) is .9 .1, and symbol is a? | CREATE TABLE table_name_94 (
parameter VARCHAR,
best_fit__wmap_only_ VARCHAR,
symbol VARCHAR
) | SELECT parameter FROM table_name_94 WHERE best_fit__wmap_only_ = ".9 ± .1" AND symbol = "a" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
15577,
584,
4280,
28027,
6,
200,
834,
5616,
834,
834,
210,
11576,
834,
9926,
834,
584,
4280,
28027,
6,
6083,
584,
4280,
28027,
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,
15577,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
200,
834,
5616,
834,
834,
210,
11576,
834,
9926,
834,
3274,
96,
5,
1298,
3,
2,
3,
5,
536,
121,
3430,
6083,
3274,
96,
9,
121,
1,
-100,
-100,
-100,
-100,
-... |
Can you tell me the sum of Grid that has the Time of +6.355, and the Laps larger than 23? | CREATE TABLE table_name_7 (
grid INTEGER,
time VARCHAR,
laps VARCHAR
) | SELECT SUM(grid) FROM table_name_7 WHERE time = "+6.355" AND laps > 23 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
940,
41,
8634,
3,
21342,
17966,
6,
97,
584,
4280,
28027,
6,
14941,
7,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
1072,
25,
817,
140,
8,
4505,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
180,
6122,
599,
3496,
26,
61,
21680,
953,
834,
4350,
834,
940,
549,
17444,
427,
97,
3274,
96,
1220,
27865,
3769,
121,
3430,
14941,
7,
2490,
1902,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the total viewership for BBC One weekly rankings larger than 7, before episode 4? | CREATE TABLE table_name_30 (total_viewers VARCHAR, bbc_one_weekly_ranking VARCHAR, episode_no VARCHAR) | SELECT total_viewers FROM table_name_30 WHERE bbc_one_weekly_ranking > 7 AND episode_no < 4 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1458,
41,
235,
1947,
834,
4576,
277,
584,
4280,
28027,
6,
3,
115,
115,
75,
834,
782,
834,
8041,
120,
834,
6254,
53,
584,
4280,
28027,
6,
5640,
834,
29,
32,
584... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
792,
834,
4576,
277,
21680,
953,
834,
4350,
834,
1458,
549,
17444,
427,
3,
115,
115,
75,
834,
782,
834,
8041,
120,
834,
6254,
53,
2490,
489,
3430,
5640,
834,
29,
32,
3,
2,
314,
1,
-100,
-100,
-100,
-100,
-100,
-... |
what is the intake method of the acetaminophen? | CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergy... | SELECT DISTINCT medication.routeadmin FROM medication WHERE medication.drugname = 'acetaminophen' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3362,
4267,
32,
4370,
41,
3362,
4267,
32,
26,
1294,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2912,
381,
6,
3,
7,
9,
32,
357,
381,
6,
842,
2206,
381,
6,
14114,
257,
381,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
7757,
5,
20300,
20466,
29,
21680,
7757,
549,
17444,
427,
7757,
5,
26,
13534,
4350,
3274,
3,
31,
3302,
17,
9,
1109,
10775,
35,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Name the most 1 credit for three of a kind | CREATE TABLE table_19614 (
"Hand" text,
"1 credit" real,
"2 credits" real,
"3 credits" real,
"4 credits" real,
"5 credits" real
) | SELECT MAX("1 credit") FROM table_19614 WHERE "Hand" = 'Three of a Kind' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26937,
2534,
41,
96,
566,
232,
121,
1499,
6,
96,
536,
998,
121,
490,
6,
96,
357,
11893,
121,
490,
6,
96,
519,
11893,
121,
490,
6,
96,
591,
11893,
121,
490,
6,
96,
755,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
536,
998,
8512,
21680,
953,
834,
26937,
2534,
549,
17444,
427,
96,
566,
232,
121,
3274,
3,
31,
11889,
15,
15,
13,
3,
9,
6557,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which venue was used 11 february 1996? | CREATE TABLE table_name_45 (
venue VARCHAR,
date VARCHAR
) | SELECT venue FROM table_name_45 WHERE date = "11 february 1996" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
5669,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
5669,
47,
261,
850,
29976,
76,
1208,
6911,
58,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
833,
3274,
96,
2596,
29976,
76,
1208,
6911,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What driver(s) had over 65 stag wins? | CREATE TABLE table_26007 (
"Pos" real,
"Driver" text,
"Starts" real,
"Finishes" real,
"Wins" real,
"Podiums" real,
"Stage wins" real,
"Power stage wins" real,
"Points" real
) | SELECT "Driver" FROM table_26007 WHERE "Stage wins" = '65' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
18365,
4560,
41,
96,
345,
32,
7,
121,
490,
6,
96,
20982,
52,
121,
1499,
6,
96,
7681,
17,
7,
121,
490,
6,
96,
371,
77,
1273,
15,
7,
121,
490,
6,
96,
18455,
7,
121,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
20982,
52,
121,
21680,
953,
834,
18365,
4560,
549,
17444,
427,
96,
134,
6505,
9204,
121,
3274,
3,
31,
4122,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What day is their record 13-15? | CREATE TABLE table_name_14 (date VARCHAR, record VARCHAR) | SELECT date FROM table_name_14 WHERE record = "13-15" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2534,
41,
5522,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
239,
19,
70,
1368,
1179,
10106,
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,
833,
21680,
953,
834,
4350,
834,
2534,
549,
17444,
427,
1368,
3274,
96,
2368,
10106,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many people attended the game against away team Cambridge City? | CREATE TABLE table_name_98 (
attendance VARCHAR,
away_team VARCHAR
) | SELECT attendance FROM table_name_98 WHERE away_team = "cambridge city" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
11364,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
151,
5526,
8,
467,
581,
550,
372,
10096,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11364,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
550,
834,
11650,
3274,
96,
6527,
9818,
690,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many Seats 2005 has a Percentage in/de-crease of 50.0%, and a Governorate of dhi qar governorate, and a In/de-creased by larger than 6? | CREATE TABLE table_49642 (
"Governorate" text,
"Seats 2010" real,
"Seats 2005" real,
"In/de-creased by" real,
"Percentage in/de-crease" text
) | SELECT SUM("Seats 2005") FROM table_49642 WHERE "Percentage in/de-crease" = '50.0%' AND "Governorate" = 'dhi qar governorate' AND "In/de-creased by" > '6' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3647,
4389,
357,
41,
96,
27304,
127,
342,
121,
1499,
6,
96,
134,
1544,
7,
2735,
121,
490,
6,
96,
134,
1544,
7,
3105,
121,
490,
6,
96,
1570,
87,
221,
18,
24706,
26,
57,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
121,
134,
1544,
7,
3105,
8512,
21680,
953,
834,
3647,
4389,
357,
549,
17444,
427,
96,
12988,
3728,
545,
16,
87,
221,
18,
24706,
121,
3274,
3,
31,
1752,
5,
6932,
31,
3430,
96,
27304,
127,
342,
121,
... |
What was the home team with the away team of rushden & diamonds? | CREATE TABLE table_name_73 (
home_team VARCHAR,
away_team VARCHAR
) | SELECT home_team FROM table_name_73 WHERE away_team = "rushden & diamonds" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
234,
834,
11650,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
234,
372,
28,
8,
550,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
234,
834,
11650,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
550,
834,
11650,
3274,
96,
17363,
537,
3,
184,
7097,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the median household income of sacramento? | CREATE TABLE table_72443 (
"County" text,
"Population" real,
"Per capita income" text,
"Median household income" text,
"Median family income" text
) | SELECT "Median household income" FROM table_72443 WHERE "County" = 'Sacramento' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
2266,
4906,
41,
96,
10628,
63,
121,
1499,
6,
96,
27773,
7830,
121,
490,
6,
96,
12988,
23219,
2055,
121,
1499,
6,
96,
24607,
29,
5699,
2055,
121,
1499,
6,
96,
24607,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
24607,
29,
5699,
2055,
121,
21680,
953,
834,
940,
2266,
4906,
549,
17444,
427,
96,
10628,
63,
121,
3274,
3,
31,
134,
9,
2935,
297,
32,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which points have a Combined elapsed time of 175d 20h 46m 04s? | CREATE TABLE table_70389 (
"Overall place" text,
"Yacht name" text,
"Skipper" text,
"Points" text,
"Combined elapsed time" text
) | SELECT "Points" FROM table_70389 WHERE "Combined elapsed time" = '175d 20h 46m 04s' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2518,
519,
3914,
41,
96,
23847,
1748,
286,
121,
1499,
6,
96,
476,
9,
3997,
564,
121,
1499,
6,
96,
134,
2168,
8153,
121,
1499,
6,
96,
22512,
7,
121,
1499,
6,
96,
28257,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
121,
21680,
953,
834,
2518,
519,
3914,
549,
17444,
427,
96,
28257,
3,
15,
16543,
26,
97,
121,
3274,
3,
31,
536,
3072,
26,
460,
107,
9668,
51,
11484,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
How many times did kevin love (22) have the high points? | CREATE TABLE table_27756314_8 (date VARCHAR, high_points VARCHAR) | SELECT COUNT(date) FROM table_27756314_8 WHERE high_points = "Kevin Love (22)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
3072,
3891,
2534,
834,
927,
41,
5522,
584,
4280,
28027,
6,
306,
834,
2700,
7,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
648,
410,
3,
1050,
2494,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5522,
61,
21680,
953,
834,
2555,
3072,
3891,
2534,
834,
927,
549,
17444,
427,
306,
834,
2700,
7,
3274,
96,
439,
15,
2494,
2129,
4743,
7318,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the lowest poles that have 0 as a win, 0 as the top 5, with 66th as the postion? | CREATE TABLE table_name_61 (poles INTEGER, position VARCHAR, wins VARCHAR, top_5 VARCHAR) | SELECT MIN(poles) FROM table_name_61 WHERE wins = 0 AND top_5 = 0 AND position = "66th" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
14332,
7,
3,
21342,
17966,
6,
1102,
584,
4280,
28027,
6,
9204,
584,
4280,
28027,
6,
420,
834,
755,
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,
3,
17684,
599,
14332,
7,
61,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
9204,
3274,
3,
632,
3430,
420,
834,
755,
3274,
3,
632,
3430,
1102,
3274,
96,
3539,
189,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How many classes are professor whose last name is Graztevski has? | CREATE TABLE CLASS (PROF_NUM VARCHAR); CREATE TABLE employee (EMP_NUM VARCHAR, EMP_LNAME VARCHAR) | SELECT COUNT(*) FROM employee AS T1 JOIN CLASS AS T2 ON T1.EMP_NUM = T2.PROF_NUM WHERE T1.EMP_LNAME = 'Graztevski' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3,
31598,
41,
17618,
371,
834,
567,
6122,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
3490,
41,
6037,
345,
834,
567,
6122,
584,
4280,
28027,
6,
262,
5244... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
3490,
6157,
332,
536,
3,
15355,
3162,
3,
31598,
6157,
332,
357,
9191,
332,
5411,
6037,
345,
834,
567,
6122,
3274,
332,
4416,
17618,
371,
834,
567,
6122,
549,
17444,
427,
332,
5411,
... |
What years are listed for the Tahunanui school with an authority of state? | CREATE TABLE table_name_31 (
years VARCHAR,
authority VARCHAR,
name VARCHAR
) | SELECT years FROM table_name_31 WHERE authority = "state" AND name = "tahunanui school" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
203,
584,
4280,
28027,
6,
5015,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
203,
33,
2616,
21,
8,
2067,
107,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
203,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
5015,
3274,
96,
5540,
121,
3430,
564,
3274,
96,
17,
9,
107,
202,
9,
17965,
496,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which patients have had the macrophage lab test done? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Macrophage" | [
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,... |
Who is the sitting Representative In the New York 10 polling area race? | CREATE TABLE table_1342256_32 (
incumbent VARCHAR,
district VARCHAR
) | SELECT incumbent FROM table_1342256_32 WHERE district = "New York 10" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2368,
4165,
19337,
834,
2668,
41,
28406,
584,
4280,
28027,
6,
3939,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
19,
8,
3823,
13517,
86,
8,
368,
1060,
335,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
28406,
21680,
953,
834,
2368,
4165,
19337,
834,
2668,
549,
17444,
427,
3939,
3274,
96,
6861,
1060,
335,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
When the Home team scored 14.14 (98), what did the Away Team score? | CREATE TABLE table_77624 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Away team score" FROM table_77624 WHERE "Home team score" = '14.14 (98)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
3959,
2266,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
188,
1343,
372,
2604,
121,
21680,
953,
834,
940,
3959,
2266,
549,
17444,
427,
96,
19040,
372,
2604,
121,
3274,
3,
31,
2534,
5,
2534,
41,
3916,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Who had the most touchdowns with more than 0 Field goals? | CREATE TABLE table_4970 (
"Player" text,
"Touchdowns" real,
"Extra points" real,
"Field goals" real,
"Points" real
) | SELECT MAX("Touchdowns") FROM table_4970 WHERE "Field goals" > '0' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3647,
2518,
41,
96,
15800,
49,
121,
1499,
6,
96,
3696,
2295,
3035,
7,
121,
490,
6,
96,
5420,
1313,
979,
121,
490,
6,
96,
3183,
8804,
1766,
121,
490,
6,
96,
22512,
7,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
3696,
2295,
3035,
7,
8512,
21680,
953,
834,
3647,
2518,
549,
17444,
427,
96,
3183,
8804,
1766,
121,
2490,
3,
31,
632,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Name for me the total number in attendance for week before 2 and result of t 24-24 | CREATE TABLE table_name_60 (attendance VARCHAR, result VARCHAR, week VARCHAR) | SELECT COUNT(attendance) FROM table_name_60 WHERE result = "t 24-24" AND week < 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3328,
41,
15116,
663,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
21,
140,
8,
792,
381,
16,
11... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
3328,
549,
17444,
427,
741,
3274,
96,
17,
997,
14962,
121,
3430,
471,
3,
2,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What are the average star ratings of each movie title? Could you return me a bar chart? | CREATE TABLE Reviewer (
rID int,
name text
)
CREATE TABLE Movie (
mID int,
title text,
year int,
director text
)
CREATE TABLE Rating (
rID int,
mID int,
stars int,
ratingDate date
) | SELECT title, AVG(stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY title | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4543,
49,
41,
3,
52,
4309,
16,
17,
6,
564,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
10743,
41,
3,
51,
4309,
16,
17,
6,
2233,
1499,
6,
215,
16,
17,
6,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2233,
6,
71,
17217,
599,
3624,
7,
61,
21680,
21662,
6157,
332,
536,
3,
15355,
3162,
10743,
6157,
332,
357,
9191,
332,
5411,
51,
4309,
3274,
332,
4416,
51,
4309,
350,
4630,
6880,
272,
476,
2233,
1,
-100,
-100,
-100,
... |
Name the bronze for lahti | CREATE TABLE table_name_46 (bronze VARCHAR, place VARCHAR) | SELECT bronze FROM table_name_46 WHERE place = "lahti" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4448,
41,
13711,
776,
584,
4280,
28027,
6,
286,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
13467,
21,
50,
107,
17,
23,
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,
13467,
21680,
953,
834,
4350,
834,
4448,
549,
17444,
427,
286,
3274,
96,
521,
107,
17,
23,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What round was it when the method was TKO (would not stand up from Butt Scoot)? | CREATE TABLE table_name_89 (
round INTEGER,
method VARCHAR
) | SELECT AVG(round) FROM table_name_89 WHERE method = "tko (would not stand up from butt scoot)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3914,
41,
1751,
3,
21342,
17966,
6,
1573,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
1751,
47,
34,
116,
8,
1573,
47,
332,
12725,
41,
30947,
59,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
7775,
61,
21680,
953,
834,
4350,
834,
3914,
549,
17444,
427,
1573,
3274,
96,
17,
157,
32,
41,
30947,
59,
1518,
95,
45,
68,
17,
3,
3523,
32,
17,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What home team has coventry city as the away team? | CREATE TABLE table_76134 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
) | SELECT "Home team" FROM table_76134 WHERE "Away team" = 'coventry city' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3959,
23747,
41,
96,
382,
23,
15,
150,
121,
1499,
6,
96,
19040,
372,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
308,
342,
121,
149... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
19040,
372,
121,
21680,
953,
834,
3959,
23747,
549,
17444,
427,
96,
188,
1343,
372,
121,
3274,
3,
31,
509,
2169,
651,
690,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was reserved in the district that has 169 constituents? | CREATE TABLE table_62769 (
"Constituency number" text,
"Name" text,
"Reserved for ( SC / ST /None)" text,
"District" text,
"Number of electorates (2003)" real
) | SELECT "Reserved for ( SC / ST /None)" FROM table_62769 WHERE "Constituency number" = '169' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
948,
2555,
3951,
41,
96,
4302,
2248,
17,
76,
4392,
381,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
1649,
3473,
15,
26,
21,
41,
6508,
3,
87,
5097,
3,
87,
567,
782,
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,
96,
1649,
3473,
15,
26,
21,
41,
6508,
3,
87,
5097,
3,
87,
567,
782,
61,
121,
21680,
953,
834,
948,
2555,
3951,
549,
17444,
427,
96,
4302,
2248,
17,
76,
4392,
381,
121,
3274,
3,
31,
27096,
31,
1,
-100,
-100,
-1... |
at least how many aircrafts were forced to land | CREATE TABLE table_204_353 (
id number,
"no." number,
"date/time" text,
"aircraft" text,
"foe" text,
"result" text,
"location" text,
"notes" text
) | SELECT COUNT(*) FROM table_204_353 WHERE "result" = 'forced to land' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
2469,
519,
41,
3,
23,
26,
381,
6,
96,
29,
32,
535,
381,
6,
96,
5522,
87,
715,
121,
1499,
6,
96,
2256,
6696,
121,
1499,
6,
96,
89,
32,
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,
2847,
17161,
599,
1935,
61,
21680,
953,
834,
26363,
834,
2469,
519,
549,
17444,
427,
96,
60,
7,
83,
17,
121,
3274,
3,
31,
10880,
26,
12,
1322,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
count the number of patients whose ethnicity is asian and admission year is less than 2165? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.admityear < "2165" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
2118,
23,
26,
1499,
6,
5059,
715,
1499,
6,
5692,
1499,
6,
701,
834,
15129,
1499,
6,
3783,
1499,
6,
5798,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
15,
189,
2532,
485,
3274,
96,
3291,
21758,
121,
3430,
14798,
5,
20466,
17,
1201,
3,
2,
96,
27184... |
Who won Division West when Division North was won by Alumina? | CREATE TABLE table_name_69 (division_west VARCHAR, division_north VARCHAR) | SELECT division_west FROM table_name_69 WHERE division_north = "alumina" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
26,
23,
6610,
834,
12425,
584,
4280,
28027,
6,
4889,
834,
29,
127,
189,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
751,
6022,
1244,
116,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4889,
834,
12425,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
4889,
834,
29,
127,
189,
3274,
96,
9,
18497,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which fleet was named Orenburg? | CREATE TABLE table_7872 (
"Shipyard" text,
"Name" text,
"Laid down" text,
"Launched" text,
"Commissioned" text,
"Fleet" text
) | SELECT "Fleet" FROM table_7872 WHERE "Name" = 'orenburg' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3940,
5865,
41,
96,
134,
10462,
6636,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
434,
6146,
323,
121,
1499,
6,
96,
3612,
202,
4513,
121,
1499,
6,
96,
5890,
5451,
15,
26,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
371,
109,
15,
17,
121,
21680,
953,
834,
3940,
5865,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
127,
13576,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the number of womens doubles for 2011 rio de janeiro | CREATE TABLE table_28138035_4 (womens_doubles VARCHAR, year_location VARCHAR) | SELECT COUNT(womens_doubles) FROM table_28138035_4 WHERE year_location = "2011 Rio de Janeiro" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
2368,
2079,
2469,
834,
591,
41,
210,
32,
904,
7,
834,
25761,
7,
584,
4280,
28027,
6,
215,
834,
14836,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
38... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
210,
32,
904,
7,
834,
25761,
7,
61,
21680,
953,
834,
2577,
2368,
2079,
2469,
834,
591,
549,
17444,
427,
215,
834,
14836,
3274,
96,
13907,
10983,
20,
3049,
21810,
121,
1,
-100,
-100,
-100,
-100,
-10... |
What are the first names of all students who are older than 20? | CREATE TABLE lives_in (
stuid number,
dormid number,
room_number number
)
CREATE TABLE dorm (
dormid number,
dorm_name text,
student_capacity number,
gender text
)
CREATE TABLE has_amenity (
dormid number,
amenid number
)
CREATE TABLE student (
stuid number,
lname text,
... | SELECT fname FROM student WHERE age > 20 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1342,
834,
77,
41,
21341,
23,
26,
381,
6,
103,
52,
6983,
381,
6,
562,
834,
5525,
1152,
381,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
103,
52,
51,
41,
103,
52,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
89,
4350,
21680,
1236,
549,
17444,
427,
1246,
2490,
460,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What country has CD format and catalog RCD 10523? | CREATE TABLE table_name_45 (country VARCHAR, format VARCHAR, catalog VARCHAR) | SELECT country FROM table_name_45 WHERE format = "cd" AND catalog = "rcd 10523" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
17529,
584,
4280,
28027,
6,
1910,
584,
4280,
28027,
6,
10173,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
684,
65,
3190,
1910,
11,
10173,
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,
684,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
1910,
3274,
96,
75,
26,
121,
3430,
10173,
3274,
96,
52,
75,
26,
3,
12869,
2773,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which Score has a Place of 4? | CREATE TABLE table_name_78 (
score VARCHAR,
place VARCHAR
) | SELECT score FROM table_name_78 WHERE place = "4" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
2604,
584,
4280,
28027,
6,
286,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
17763,
65,
3,
9,
3399,
13,
314,
58,
1,
0,
0,
0,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
286,
3274,
96,
20364,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
the only player that started his career in 1965 | CREATE TABLE table_203_754 (
id number,
"no." number,
"player" text,
"position" text,
"career" text,
"date no. retired" text
) | SELECT "player" FROM table_203_754 WHERE "career" = 1965 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
3072,
591,
41,
3,
23,
26,
381,
6,
96,
29,
32,
535,
381,
6,
96,
20846,
121,
1499,
6,
96,
4718,
121,
1499,
6,
96,
2864,
49,
121,
1499,
6,
96,
5522,
150,
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,
96,
20846,
121,
21680,
953,
834,
23330,
834,
3072,
591,
549,
17444,
427,
96,
2864,
49,
121,
3274,
19201,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which opponent had the result of W 24-14? | CREATE TABLE table_32709 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Record" text,
"Attendance" text
) | SELECT "Opponent" FROM table_32709 WHERE "Result" = 'w 24-14' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
2555,
4198,
41,
96,
518,
10266,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
1649,
7621,
121,
1499,
6,
9... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
667,
102,
9977,
121,
21680,
953,
834,
519,
2555,
4198,
549,
17444,
427,
96,
20119,
121,
3274,
3,
31,
210,
997,
11590,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the elevator when the elector is Pietro Colonna? | CREATE TABLE table_name_77 (elevator VARCHAR, elector VARCHAR) | SELECT elevator FROM table_name_77 WHERE elector = "pietro colonna" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4013,
41,
15,
10912,
1016,
584,
4280,
28027,
6,
11924,
127,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
19967,
116,
8,
11924,
127,
19,
2745,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19967,
21680,
953,
834,
4350,
834,
4013,
549,
17444,
427,
11924,
127,
3274,
96,
102,
23,
15252,
6718,
29,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Who is Team A when wilma hofschneider-david is team C? | CREATE TABLE table_name_35 (team_a VARCHAR, team_c VARCHAR) | SELECT team_a FROM table_name_35 WHERE team_c = "wilma hofschneider-david" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2469,
41,
11650,
834,
9,
584,
4280,
28027,
6,
372,
834,
75,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
19,
2271,
71,
116,
3,
210,
173,
51,
9,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
372,
834,
9,
21680,
953,
834,
4350,
834,
2469,
549,
17444,
427,
372,
834,
75,
3274,
96,
210,
173,
51,
9,
3534,
89,
28557,
49,
18,
26,
9,
6961,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the original title of the film from Japan/Taiwan before 2003? | CREATE TABLE table_71643 (
"Year" real,
"English title" text,
"Original title" text,
"Country" text,
"Director(s)" text
) | SELECT "Original title" FROM table_71643 WHERE "Year" < '2003' AND "Country" = 'japan/taiwan' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4450,
4389,
519,
41,
96,
476,
2741,
121,
490,
6,
96,
26749,
2233,
121,
1499,
6,
96,
667,
3380,
10270,
2233,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
23620,
127,
59... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3380,
10270,
2233,
121,
21680,
953,
834,
4450,
4389,
519,
549,
17444,
427,
96,
476,
2741,
121,
3,
2,
3,
31,
23948,
31,
3430,
96,
10628,
651,
121,
3274,
3,
31,
1191,
2837,
87,
17,
9,
23,
3877,
31,
1,
-... |
What is the Opponent in the final when the outcome was runner-up? | CREATE TABLE table_name_66 (opponent_in_the_final VARCHAR, outcome VARCHAR) | SELECT opponent_in_the_final FROM table_name_66 WHERE outcome = "runner-up" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
32,
102,
9977,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
6,
6138,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
4495,
9977,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
834,
77,
834,
532,
834,
12406,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
6138,
3274,
96,
10806,
18,
413,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
which opponent was next after jackson state ? | CREATE TABLE table_203_598 (
id number,
"date" text,
"time" text,
"opponent" text,
"site" text,
"tv" text,
"result" text,
"attendance" number
) | SELECT "opponent" FROM table_203_598 WHERE "date" > (SELECT "date" FROM table_203_598 WHERE "opponent" = 'jackson state') ORDER BY "date" LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
755,
3916,
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... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
23330,
834,
755,
3916,
549,
17444,
427,
96,
5522,
121,
2490,
41,
23143,
14196,
96,
5522,
121,
21680,
953,
834,
23330,
834,
755,
3916,
549,
17444,
427,
96,
32,
102,
9977,
121,... |
What is the Flattening ratio associated with the Equatorial diameter of 120,536km? | CREATE TABLE table_name_75 (flattening_ratio VARCHAR, equatorial_diameter VARCHAR) | SELECT flattening_ratio FROM table_name_75 WHERE equatorial_diameter = "120,536km" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
13710,
324,
53,
834,
6850,
32,
584,
4280,
28027,
6,
3,
15,
4960,
17,
11929,
834,
26,
23,
9,
4401,
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,
2667,
324,
53,
834,
6850,
32,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
3,
15,
4960,
17,
11929,
834,
26,
23,
9,
4401,
3274,
96,
15518,
6,
755,
3420,
5848,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What position did the sheffield eagles finish in? | CREATE TABLE table_17926 (
"Position" real,
"Club" text,
"Played" real,
"Won" real,
"Drawn" real,
"Lost" real,
"Pts For" real,
"Pts Agst" real,
"B.P." real,
"Points" real
) | SELECT MAX("Position") FROM table_17926 WHERE "Club" = 'Sheffield Eagles' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26593,
2688,
41,
96,
345,
32,
7,
4749,
121,
490,
6,
96,
254,
11158,
121,
1499,
6,
96,
15800,
15,
26,
121,
490,
6,
96,
518,
106,
121,
490,
6,
96,
308,
10936,
29,
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,
4800,
4,
599,
121,
345,
32,
7,
4749,
8512,
21680,
953,
834,
26593,
2688,
549,
17444,
427,
96,
254,
11158,
121,
3274,
3,
31,
12736,
89,
1846,
10341,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which county has 438 (4%) listed under R. Bacon? | CREATE TABLE table_name_92 (county VARCHAR, r_bacon VARCHAR) | SELECT county FROM table_name_92 WHERE r_bacon = "438 (4%)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4508,
41,
13362,
63,
584,
4280,
28027,
6,
3,
52,
834,
9305,
106,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
5435,
65,
314,
3747,
8457,
6210,
2616,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5435,
21680,
953,
834,
4350,
834,
4508,
549,
17444,
427,
3,
52,
834,
9305,
106,
3274,
96,
591,
3747,
8457,
6210,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
provide the number of patients whose ethnicity is hispanic or latino and drug type is additive? | 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.ethnicity = "HISPANIC OR LATINO" AND prescriptions.drug_type = "ADDITIVE" | [
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,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
give me the number of patients whose age is less than 20 and drug code is warf0? | 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
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "20" AND prescriptions.formulary_drug_cd = "WARF0" | [
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... |
What date was Wet Hare, directed by Robert McKimson, released? | CREATE TABLE table_79520 (
"Title" text,
"Series" text,
"Director" text,
"Production Number" real,
"Release date" text
) | SELECT "Release date" FROM table_79520 WHERE "Director" = 'robert mckimson' AND "Title" = 'wet hare' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4440,
25356,
41,
96,
382,
155,
109,
121,
1499,
6,
96,
12106,
7,
121,
1499,
6,
96,
23620,
127,
121,
1499,
6,
96,
3174,
8291,
7720,
121,
490,
6,
96,
1649,
40,
14608,
833,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
1649,
40,
14608,
833,
121,
21680,
953,
834,
4440,
25356,
549,
17444,
427,
96,
23620,
127,
121,
3274,
3,
31,
5840,
49,
17,
3,
51,
2406,
603,
739,
31,
3430,
96,
382,
155,
109,
121,
3274,
3,
31,
1123,
17,
3,
... |
What circut has an unknown fastest lap on July 19? | CREATE TABLE table_name_76 (circuit VARCHAR, fastest_lap VARCHAR, date VARCHAR) | SELECT circuit FROM table_name_76 WHERE fastest_lap = "unknown" AND date = "july 19" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
15357,
21560,
584,
4280,
28027,
6,
10391,
834,
8478,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
3,
15357,
3044,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4558,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
10391,
834,
8478,
3274,
96,
202,
5661,
121,
3430,
833,
3274,
96,
2047,
120,
957,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the road team playing against Boston on April 16? | CREATE TABLE table_name_94 (
road_team VARCHAR,
home_team VARCHAR,
date VARCHAR
) | SELECT road_team FROM table_name_94 WHERE home_team = "boston" AND date = "april 16" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
1373,
834,
11650,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
6,
833,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1373,
834,
11650,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
234,
834,
11650,
3274,
96,
115,
32,
4411,
121,
3430,
833,
3274,
96,
9,
2246,
40,
898,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Show each location and the number of cinemas there. | CREATE TABLE schedule (
cinema_id number,
film_id number,
date text,
show_times_per_day number,
price number
)
CREATE TABLE film (
film_id number,
rank_in_series number,
number_in_season number,
title text,
directed_by text,
original_air_date text,
production_code text
)... | SELECT location, COUNT(*) FROM cinema GROUP BY location | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2023,
41,
10276,
834,
23,
26,
381,
6,
814,
834,
23,
26,
381,
6,
833,
1499,
6,
504,
834,
715,
7,
834,
883,
834,
1135,
381,
6,
594,
381,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1128,
6,
2847,
17161,
599,
1935,
61,
21680,
10276,
350,
4630,
6880,
272,
476,
1128,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the number of patients whose year of death is less than or equal to 2131 and procedure short title is open incis hern-grft nec? | 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 demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2131.0" AND procedures.short_title = "Open incis hern-grft NEC" | [
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,
4293,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
What is the nationality of the player who had the pick of 52 and plays for the NBA team of Phoenix Suns? | CREATE TABLE table_name_15 (nationality VARCHAR, nba_team VARCHAR, pick VARCHAR) | SELECT nationality FROM table_name_15 WHERE nba_team = "phoenix suns" AND pick = 52 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
16557,
485,
584,
4280,
28027,
6,
3,
29,
115,
9,
834,
11650,
584,
4280,
28027,
6,
1432,
584,
4280,
28027,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1157,
485,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
3,
29,
115,
9,
834,
11650,
3274,
96,
9553,
35,
2407,
1997,
7,
121,
3430,
1432,
3274,
9065,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who was the winner with a mountain stage type on 22 May? | CREATE TABLE table_11705 (
"Date" text,
"Course" text,
"Distance" text,
"Type" text,
"Winner" text
) | SELECT "Winner" FROM table_11705 WHERE "Type" = 'mountain stage' AND "Date" = '22 may' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20275,
3076,
41,
96,
308,
342,
121,
1499,
6,
96,
3881,
3589,
15,
121,
1499,
6,
96,
308,
23,
8389,
121,
1499,
6,
96,
25160,
121,
1499,
6,
96,
18455,
687,
121,
1499,
3,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
18455,
687,
121,
21680,
953,
834,
20275,
3076,
549,
17444,
427,
96,
25160,
121,
3274,
3,
31,
11231,
9,
77,
1726,
31,
3430,
96,
308,
342,
121,
3274,
3,
31,
2884,
164,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Show me a bar chart for how many total credits are offered by each department?, sort by the total number of credits from low to high. | CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
... | SELECT dept_name, SUM(credits) FROM course GROUP BY dept_name ORDER BY SUM(credits) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1236,
41,
4699,
3,
4331,
4059,
15757,
6,
564,
3,
4331,
4059,
599,
1755,
201,
20,
102,
17,
834,
4350,
3,
4331,
4059,
599,
1755,
201,
12,
17,
834,
17216,
206,
17552,
599,
6355,
632,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
20,
102,
17,
834,
4350,
6,
180,
6122,
599,
15547,
7,
61,
21680,
503,
350,
4630,
6880,
272,
476,
20,
102,
17,
834,
4350,
4674,
11300,
272,
476,
180,
6122,
599,
15547,
7,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When did Peter Butler leave his team? | CREATE TABLE table_62881 (
"Team" text,
"Outgoing manager" text,
"Date Outgoing" text,
"Reason of departure" text,
"Replaced by" text,
"Date of Replacement" text
) | SELECT "Date Outgoing" FROM table_62881 WHERE "Outgoing manager" = 'peter butler' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4056,
4060,
536,
41,
96,
18699,
121,
1499,
6,
96,
15767,
9545,
2743,
121,
1499,
6,
96,
308,
342,
3387,
9545,
121,
1499,
6,
96,
1649,
9,
739,
13,
12028,
121,
1499,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
342,
3387,
9545,
121,
21680,
953,
834,
4056,
4060,
536,
549,
17444,
427,
96,
15767,
9545,
2743,
121,
3274,
3,
31,
4995,
49,
68,
1171,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Why did the change happened in Massachusetts (2)? | CREATE TABLE table_18563954_3 (reason_for_change VARCHAR, state__class_ VARCHAR) | SELECT reason_for_change FROM table_18563954_3 WHERE state__class_ = "Massachusetts (2)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2606,
4834,
3288,
5062,
834,
519,
41,
864,
739,
834,
1161,
834,
13073,
584,
4280,
28027,
6,
538,
834,
834,
4057,
834,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
161... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1053,
834,
1161,
834,
13073,
21680,
953,
834,
2606,
4834,
3288,
5062,
834,
519,
549,
17444,
427,
538,
834,
834,
4057,
834,
3274,
96,
27189,
1836,
1074,
17,
17,
7,
6499,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
which providence's soccer stadium was founded in 2005? | CREATE TABLE table_27369069_1 (
province VARCHAR,
founded VARCHAR
) | SELECT province FROM table_27369069_1 WHERE founded = 2005 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
3420,
2394,
3951,
834,
536,
41,
7985,
584,
4280,
28027,
6,
5710,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
84,
370,
3772,
31,
7,
10749,
14939,
47,
5710,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7985,
21680,
953,
834,
2555,
3420,
2394,
3951,
834,
536,
549,
17444,
427,
5710,
3274,
3105,
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 drug type of Estrella Carroll? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT prescriptions.drug_type FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Estrella Carroll" | [
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,
7744,
7,
5,
26,
13534,
834,
6137,
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,
17444,
427,
14798,
5,
4350,
3274,
96,
14... |
What is Shot Pct., when Stolen Ends is 2? | CREATE TABLE table_49861 (
"Province" text,
"Skip" text,
"Ends Won" real,
"Ends Lost" real,
"Blank Ends" real,
"Stolen Ends" real,
"Shot Pct." real
) | SELECT "Shot Pct." FROM table_49861 WHERE "Stolen Ends" = '2' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3647,
3840,
536,
41,
96,
3174,
2494,
565,
121,
1499,
6,
96,
134,
2168,
102,
121,
1499,
6,
96,
8532,
26,
7,
549,
106,
121,
490,
6,
96,
8532,
26,
7,
19576,
121,
490,
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,
10718,
276,
75,
17,
535,
21680,
953,
834,
3647,
3840,
536,
549,
17444,
427,
96,
134,
235,
40,
35,
3720,
7,
121,
3274,
3,
31,
357,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what was the total number of medals the ivory coast won ? | CREATE TABLE table_203_377 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
) | SELECT "total" FROM table_203_377 WHERE "nation" = 'ivory coast' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
519,
4013,
41,
3,
23,
26,
381,
6,
96,
6254,
121,
381,
6,
96,
29,
257,
121,
1499,
6,
96,
14910,
121,
381,
6,
96,
7,
173,
624,
121,
381,
6,
96,
13711,
776,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
235,
1947,
121,
21680,
953,
834,
23330,
834,
519,
4013,
549,
17444,
427,
96,
29,
257,
121,
3274,
3,
31,
23,
1967,
63,
4939,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What class has nsr250 as the machine, with points greater than 97? | CREATE TABLE table_39459 (
"Year" real,
"Class" text,
"Team" text,
"Machine" text,
"Points" real,
"Rank" text,
"Wins" real
) | SELECT "Class" FROM table_39459 WHERE "Machine" = 'nsr250' AND "Points" > '97' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3288,
591,
3390,
41,
96,
476,
2741,
121,
490,
6,
96,
21486,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
329,
1836,
630,
121,
1499,
6,
96,
22512,
7,
121,
490,
6,
96,
2255... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
21486,
121,
21680,
953,
834,
3288,
591,
3390,
549,
17444,
427,
96,
329,
1836,
630,
121,
3274,
3,
31,
29,
7,
52,
11434,
31,
3430,
96,
22512,
7,
121,
2490,
3,
31,
4327,
31,
1,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Years in Orlando has a Nationality of united states, and a Player of doug overton? | CREATE TABLE table_name_43 (
years_in_orlando VARCHAR,
nationality VARCHAR,
player VARCHAR
) | SELECT years_in_orlando FROM table_name_43 WHERE nationality = "united states" AND player = "doug overton" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4906,
41,
203,
834,
77,
834,
32,
7721,
32,
584,
4280,
28027,
6,
1157,
485,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
407... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
203,
834,
77,
834,
32,
7721,
32,
21680,
953,
834,
4350,
834,
4906,
549,
17444,
427,
1157,
485,
3274,
96,
15129,
15,
26,
2315,
121,
3430,
1959,
3274,
96,
26,
1063,
122,
147,
17,
106,
121,
1,
-100,
-100,
-100,
-100,... |
What artist has a mintage of greater than 34,135? | CREATE TABLE table_name_29 (
artist VARCHAR,
mintage INTEGER
) | SELECT artist FROM table_name_29 WHERE mintage > 34 OFFSET 135 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
2377,
584,
4280,
28027,
6,
13983,
545,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
2377,
65,
3,
9,
13983,
545,
13,
2123,
145,
6154,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2377,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
13983,
545,
2490,
6154,
3,
15316,
20788,
209,
2469,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which tires were in Class C in years before 1983? | CREATE TABLE table_name_70 (
tyres VARCHAR,
class VARCHAR,
year VARCHAR
) | SELECT tyres FROM table_name_70 WHERE class = "c" AND year < 1983 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
3,
17,
63,
60,
7,
584,
4280,
28027,
6,
853,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
12541,
130,
16,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17,
63,
60,
7,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
853,
3274,
96,
75,
121,
3430,
215,
3,
2,
15041,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which date has a Result of 5 0, and an Opponent of tooting & mitcham? | CREATE TABLE table_15760 (
"Date" text,
"Opponent" text,
"Venue" text,
"Result" text,
"Attendance" text
) | SELECT "Date" FROM table_15760 WHERE "Result" = '5–0' AND "Opponent" = 'tooting & mitcham' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
28212,
41,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
188,
17,
324,
26,
663,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
28212,
549,
17444,
427,
96,
20119,
121,
3274,
3,
31,
755,
104,
632,
31,
3430,
96,
667,
102,
9977,
121,
3274,
3,
31,
235,
32,
1222,
3,
184,
181,
17788,
31,
1,
-100,
-100,... |
wWhich district has a retired republican hold with an incumbent of rufus p. spalding? | CREATE TABLE table_5538 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" text,
"Result" text
) | SELECT "District" FROM table_5538 WHERE "Result" = 'retired republican hold' AND "Incumbent" = 'rufus p. spalding' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3769,
3747,
41,
96,
308,
23,
20066,
121,
1499,
6,
96,
1570,
75,
5937,
295,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
25171,
8160,
121,
1499,
6,
96,
20119,
121,
1499,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
23,
20066,
121,
21680,
953,
834,
3769,
3747,
549,
17444,
427,
96,
20119,
121,
3274,
3,
31,
10682,
1271,
20237,
152,
1520,
31,
3430,
96,
1570,
75,
5937,
295,
121,
3274,
3,
31,
10977,
302,
3,
102,
5,
4174,
... |
how many types of trains have a top speed of more than 100 km/h ? | CREATE TABLE table_203_154 (
id number,
"type" text,
"manufacturer" text,
"numbers" text,
"year built" number,
"quantity built" number,
"power (horsepower)" number,
"max speed (km/h)" number,
"note" text
) | SELECT COUNT("type") FROM table_203_154 WHERE "max speed (km/h)" >= 100 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
27308,
41,
3,
23,
26,
381,
6,
96,
6137,
121,
1499,
6,
96,
348,
76,
8717,
450,
49,
121,
1499,
6,
96,
5525,
1152,
7,
121,
1499,
6,
96,
1201,
1192,
121,
381,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
6137,
8512,
21680,
953,
834,
23330,
834,
27308,
549,
17444,
427,
96,
9128,
1634,
41,
5848,
87,
107,
61,
121,
2490,
2423,
910,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the alphabetically ordered list of all distinct medications? | CREATE TABLE prescribes (
physician number,
patient number,
medication number,
date time,
appointment number,
dose text
)
CREATE TABLE physician (
employeeid number,
name text,
position text,
ssn number
)
CREATE TABLE procedures (
code number,
name text,
cost number... | SELECT DISTINCT name FROM medication ORDER BY name | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
27766,
7,
41,
10027,
381,
6,
1868,
381,
6,
7757,
381,
6,
833,
97,
6,
4141,
381,
6,
6742,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
10027,
41,
3490,
23,
26,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
564,
21680,
7757,
4674,
11300,
272,
476,
564,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the to par for Leonard Thompson from the United States with a place of T6? | CREATE TABLE table_name_3 (to_par VARCHAR, player VARCHAR, place VARCHAR, country VARCHAR) | SELECT to_par FROM table_name_3 WHERE place = "t6" AND country = "united states" AND player = "leonard thompson" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
519,
41,
235,
834,
1893,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
6,
286,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
12,
834,
1893,
21680,
953,
834,
4350,
834,
519,
549,
17444,
427,
286,
3274,
96,
17,
948,
121,
3430,
684,
3274,
96,
15129,
15,
26,
2315,
121,
3430,
1959,
3274,
96,
109,
106,
986,
3,
189,
32,
1167,
739,
121,
1,
-1... |
What is the sum of Year, when Opponent is #3 UCONN? | CREATE TABLE table_45465 (
"Year" real,
"Seed" real,
"Round" text,
"Opponent" text,
"Result/Score" text
) | SELECT SUM("Year") FROM table_45465 WHERE "Opponent" = '#3 uconn' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2128,
591,
4122,
41,
96,
476,
2741,
121,
490,
6,
96,
18648,
26,
121,
490,
6,
96,
448,
32,
1106,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
20119,
87,
134,
9022... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
476,
2741,
8512,
21680,
953,
834,
2128,
591,
4122,
549,
17444,
427,
96,
667,
102,
9977,
121,
3274,
3,
31,
4663,
519,
3,
76,
1018,
29,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Election has a 2nd Member of reform act 1867 : constituency abolished? | CREATE TABLE table_12985 (
"Election" text,
"1st Member" text,
"1st Party" text,
"2nd Member" text,
"2nd Party" text
) | SELECT "Election" FROM table_12985 WHERE "2nd Member" = 'reform act 1867 : constituency abolished' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22174,
4433,
41,
96,
427,
12252,
121,
1499,
6,
96,
536,
7,
17,
8541,
121,
1499,
6,
96,
536,
7,
17,
3450,
121,
1499,
6,
96,
357,
727,
8541,
121,
1499,
6,
96,
357,
727,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
427,
12252,
121,
21680,
953,
834,
22174,
4433,
549,
17444,
427,
96,
357,
727,
8541,
121,
3274,
3,
31,
60,
2032,
1810,
507,
3708,
3,
10,
6439,
4392,
31226,
15,
26,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What player has a t57 as the finish? | CREATE TABLE table_name_65 (player VARCHAR, finish VARCHAR) | SELECT player FROM table_name_65 WHERE finish = "t57" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
20846,
584,
4280,
28027,
6,
1992,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1959,
65,
3,
9,
3,
17,
3436,
38,
8,
1992,
58,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
1992,
3274,
96,
17,
3436,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the finish for Lanny Wadkins of the United States? | CREATE TABLE table_59667 (
"Player" text,
"Country" text,
"Year(s) won" text,
"Total" real,
"To par" text,
"Finish" text
) | SELECT "Finish" FROM table_59667 WHERE "Country" = 'united states' AND "Player" = 'lanny wadkins' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3390,
3539,
940,
41,
96,
15800,
49,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
476,
2741,
599,
7,
61,
751,
121,
1499,
6,
96,
3696,
1947,
121,
490,
6,
96,
3696,
260... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
371,
77,
1273,
121,
21680,
953,
834,
3390,
3539,
940,
549,
17444,
427,
96,
10628,
651,
121,
3274,
3,
31,
15129,
15,
26,
2315,
31,
3430,
96,
15800,
49,
121,
3274,
3,
31,
40,
15159,
8036,
26,
7815,
31,
1,
-100... |
Which Volleyball has a Golf of 2, and an Indoor track of 3? | CREATE TABLE table_43522 (
"School" text,
"Bask" real,
"Golf" text,
"Soccer" text,
"Soft" text,
"Swimming" text,
"Tennis" real,
"Indoor track" text,
"Outdoor track" text,
"Volleyball" text,
"Total" real
) | SELECT "Volleyball" FROM table_43522 WHERE "Golf" = '2' AND "Indoor track" = '3' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
2469,
2884,
41,
96,
29364,
121,
1499,
6,
96,
14885,
157,
121,
490,
6,
96,
6221,
40,
89,
121,
1499,
6,
96,
134,
13377,
49,
121,
1499,
6,
96,
28017,
121,
1499,
6,
96... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
22803,
1306,
3184,
121,
21680,
953,
834,
591,
2469,
2884,
549,
17444,
427,
96,
6221,
40,
89,
121,
3274,
3,
31,
357,
31,
3430,
96,
1570,
11968,
1463,
121,
3274,
3,
31,
519,
31,
1,
-100,
-100,
-100,
-100,
-100,
... |
Which score was for Toronto Maple Leafs at home on November 12? | CREATE TABLE table_37852 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Record" text
) | SELECT "Score" FROM table_37852 WHERE "Home" = 'toronto maple leafs' AND "Date" = 'november 12' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4118,
4433,
357,
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,
1649,
7621,
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,
134,
9022,
121,
21680,
953,
834,
4118,
4433,
357,
549,
17444,
427,
96,
19040,
121,
3274,
3,
31,
235,
4438,
32,
22007,
8384,
7,
31,
3430,
96,
308,
342,
121,
3274,
3,
31,
5326,
18247,
586,
31,
1,
-100,
-100,
-... |
What team was Temple playing on January 19? | CREATE TABLE table_29556461_7 (team VARCHAR, date VARCHAR) | SELECT team FROM table_29556461_7 WHERE date = "January 19" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3166,
3769,
4389,
4241,
834,
940,
41,
11650,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
372,
47,
10999,
1556,
30,
1762,
957,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
372,
21680,
953,
834,
3166,
3769,
4389,
4241,
834,
940,
549,
17444,
427,
833,
3274,
96,
30404,
957,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the average grid with brm and under 63 laps? | CREATE TABLE table_name_33 (grid INTEGER, constructor VARCHAR, laps VARCHAR) | SELECT AVG(grid) FROM table_name_33 WHERE constructor = "brm" AND laps < 63 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
3496,
26,
3,
21342,
17966,
6,
6774,
127,
584,
4280,
28027,
6,
14941,
7,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1348,
8634,
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,
71,
17217,
599,
3496,
26,
61,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
6774,
127,
3274,
96,
115,
52,
51,
121,
3430,
14941,
7,
3,
2,
3,
3891,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who has the high assists when location attendance is 20,562? | CREATE TABLE table_name_20 (high_assists VARCHAR, location_attendance VARCHAR) | SELECT high_assists FROM table_name_20 WHERE location_attendance = "20,562" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
6739,
834,
6500,
7,
17,
7,
584,
4280,
28027,
6,
1128,
834,
15116,
663,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
65,
8,
306,
13041,
11... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
306,
834,
6500,
7,
17,
7,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
1128,
834,
15116,
663,
3274,
96,
1755,
6,
4834,
357,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the Jump 2 of the person that has a Jump 1 of 7.14 | CREATE TABLE table_32521 (
"Athlete Name" text,
"Jump 1" text,
"Jump 2" text,
"Jump 3" text,
"Best Jump" text
) | SELECT "Jump 2" FROM table_32521 WHERE "Jump 1" = '7.14' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
1828,
2658,
41,
96,
188,
189,
1655,
15,
5570,
121,
1499,
6,
96,
683,
440,
102,
209,
121,
1499,
6,
96,
683,
440,
102,
204,
121,
1499,
6,
96,
683,
440,
102,
220,
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,
683,
440,
102,
204,
121,
21680,
953,
834,
519,
1828,
2658,
549,
17444,
427,
96,
683,
440,
102,
209,
121,
3274,
3,
31,
25059,
591,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the percentage for Republican: Dino Rossi when Democrat: Christine Gregoire polled at 53.7% and the lead margin was larger than 7? | CREATE TABLE table_48634 (
"Source" text,
"Dates administered" text,
"Democrat: Christine Gregoire" text,
"Republican: Dino Rossi" text,
"Lead Margin" real
) | SELECT "Republican: Dino Rossi" FROM table_48634 WHERE "Lead Margin" > '7' AND "Democrat: Christine Gregoire" = '53.7%' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3840,
3710,
41,
96,
23799,
121,
1499,
6,
96,
308,
6203,
19092,
121,
1499,
6,
96,
19679,
10,
21110,
11859,
6534,
121,
1499,
6,
96,
1649,
15727,
152,
10,
3181,
32,
9616,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
1649,
15727,
152,
10,
3181,
32,
9616,
23,
121,
21680,
953,
834,
591,
3840,
3710,
549,
17444,
427,
96,
2796,
9,
26,
16409,
77,
121,
2490,
3,
31,
940,
31,
3430,
96,
19679,
10,
21110,
11859,
6534,
121,
3274,
3,
... |
Which Score in the final has a Surface of hard on august 20, 1989? | CREATE TABLE table_45728 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Partner" text,
"Opponents in the final" text,
"Score in the final" text
) | SELECT "Score in the final" FROM table_45728 WHERE "Surface" = 'hard' AND "Date" = 'august 20, 1989' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3436,
2577,
41,
96,
15767,
287,
15,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
13725,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
9022,
16,
8,
804,
121,
21680,
953,
834,
591,
3436,
2577,
549,
17444,
427,
96,
134,
450,
4861,
121,
3274,
3,
31,
5651,
31,
3430,
96,
308,
342,
121,
3274,
3,
31,
402,
17198,
16047,
9975,
31,
1,
-100,
-100... |
what is the title when the citation is honor and the narrator is lincoln hoppe? | CREATE TABLE table_name_94 (title VARCHAR, citation VARCHAR, narrator VARCHAR) | SELECT title FROM table_name_94 WHERE citation = "honor" AND narrator = "lincoln hoppe" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
21869,
584,
4280,
28027,
6,
3,
13903,
584,
4280,
28027,
6,
3,
29,
291,
52,
1016,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
2233,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2233,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
3,
13903,
3274,
96,
107,
106,
127,
121,
3430,
3,
29,
291,
52,
1016,
3274,
96,
40,
77,
3297,
29,
13652,
855,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is the first city/town/village listed in the table ? | CREATE TABLE table_204_841 (
id number,
"no." number,
"temple" text,
"honzon (main image)" text,
"city/town/village" text,
"prefecture" text
) | SELECT "city/town/village" FROM table_204_841 WHERE id = 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
4608,
536,
41,
3,
23,
26,
381,
6,
96,
29,
32,
535,
381,
6,
96,
15076,
109,
121,
1499,
6,
96,
107,
106,
8892,
41,
7484,
1023,
61,
121,
1499,
6,
96,
6726,
8... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
6726,
87,
3540,
87,
208,
17614,
121,
21680,
953,
834,
26363,
834,
4608,
536,
549,
17444,
427,
3,
23,
26,
3274,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of phone_number and department_id , display from high to low by the X. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE... | SELECT PHONE_NUMBER, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
613,
834,
10193,
10972,
41,
262,
5244,
5017,
476,
5080,
834,
4309,
7908,
1982,
599,
11071,
632,
201,
5097,
8241,
834,
308,
6048,
833,
6,
3,
14920,
834,
308,
6048,
833,
6,
446,
10539,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
8023,
7894,
834,
567,
6122,
12920,
6,
3396,
19846,
11810,
834,
4309,
21680,
1652,
549,
17444,
427,
4486,
3396,
19846,
11810,
834,
4309,
3388,
41,
23143,
14196,
3396,
19846,
11810,
834,
4309,
21680,
10521,
549,
17444,
... |
What type has the characters ? | CREATE TABLE table_name_48 (
type VARCHAR,
characters VARCHAR
) | SELECT type FROM table_name_48 WHERE characters = "廣利" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3707,
41,
686,
584,
4280,
28027,
6,
2850,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
686,
65,
8,
2850,
3,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
686,
21680,
953,
834,
4350,
834,
3707,
549,
17444,
427,
2850,
3274,
96,
2,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is maximum age of patients whose marital status is single and primary disease is hypoxia? | 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 demographic ... | SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.diagnosis = "HYPOXIA" | [
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,
4800,
4,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
1635,
9538,
834,
8547,
302,
3274,
96,
134,
2365,
3765,
121,
3430,
14798,
5,
25930,
4844,
159,
3274,
96,
15761,
6618,
4,
196,
188,
121,
... |
what is the number of patients whose admission year is less than 2182 and item id is 50801? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2182" AND lab.itemid = "50801" | [
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 is Score, when Name is Nicole ? | CREATE TABLE table_40379 (
"Index" text,
"Name" text,
"Song" text,
"Group Song" text,
"Score" text
) | SELECT "Score" FROM table_40379 WHERE "Name" = 'nicole 赖淞凤' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2445,
519,
4440,
41,
96,
26267,
226,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
134,
2444,
121,
1499,
6,
96,
27247,
11263,
121,
1499,
6,
96,
134,
9022,
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,
0,
0,
0,
0... | [
3,
23143,
14196,
96,
134,
9022,
121,
21680,
953,
834,
2445,
519,
4440,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
2532,
32,
109,
3,
2,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is 1999, when 1998 is 2R? | CREATE TABLE table_41952 (
"Tournament" text,
"1993" text,
"1994" text,
"1995" text,
"1996" text,
"1997" text,
"1998" text,
"1999" text,
"2000" text,
"2001" text,
"2002" text,
"2003" text,
"2004" text,
"2005" text,
"2006" text,
"2007" text,
"2008" text... | SELECT "1999" FROM table_41952 WHERE "1998" = '2r' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4853,
3301,
357,
41,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
2294,
4271,
121,
1499,
6,
96,
19479,
20364,
1499,
6,
96,
19479,
17395,
1499,
6,
96,
2294,
4314,
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,
2294,
3264,
121,
21680,
953,
834,
4853,
3301,
357,
549,
17444,
427,
96,
2294,
3916,
121,
3274,
3,
31,
357,
52,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who are all the assistant principals that served from 2013-2014 under the principal Cort Monroe? | CREATE TABLE table_14254419_3 (
Assistant VARCHAR,
principal__2013_2014_ VARCHAR
) | SELECT Assistant AS principal__2013_2014_ FROM table_14254419_3 WHERE principal__2013_2014_ = "Cort Monroe" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2534,
1828,
3628,
2294,
834,
519,
41,
9255,
584,
4280,
28027,
6,
3218,
834,
834,
11138,
834,
10218,
834,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
33,
66,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
9255,
6157,
3218,
834,
834,
11138,
834,
10218,
834,
21680,
953,
834,
2534,
1828,
3628,
2294,
834,
519,
549,
17444,
427,
3218,
834,
834,
11138,
834,
10218,
834,
3274,
96,
13026,
17,
25182,
121,
1,
-100,
-100,
-100,
-10... |
List all the cities in a decreasing order of each city's stations' highest latitude. | CREATE TABLE status (
station_id number,
bikes_available number,
docks_available number,
time text
)
CREATE TABLE station (
id number,
name text,
lat number,
long number,
dock_count number,
city text,
installation_date text
)
CREATE TABLE weather (
date text,
max_te... | SELECT city FROM station GROUP BY city ORDER BY MAX(lat) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2637,
41,
2478,
834,
23,
26,
381,
6,
13490,
834,
28843,
381,
6,
12908,
7,
834,
28843,
381,
6,
97,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
2478,
41,
3,
23,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
690,
21680,
2478,
350,
4630,
6880,
272,
476,
690,
4674,
11300,
272,
476,
4800,
4,
599,
40,
144,
61,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who directed the episode that was viewed by 2.57 million people in the U.S.? | CREATE TABLE table_17223 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text,
"U.S. viewers (millions)" text
) | SELECT "Directed by" FROM table_17223 WHERE "U.S. viewers (millions)" = '2.57' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27156,
2773,
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,
27156,
2773,
549,
17444,
427,
96,
1265,
5,
134,
5,
13569,
41,
17030,
7,
61,
121,
3274,
3,
31,
4416,
3436,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.