NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Who is from south korea and has a heat less than 3? | CREATE TABLE table_name_44 (name VARCHAR, heat VARCHAR, nationality VARCHAR) | SELECT name FROM table_name_44 WHERE heat < 3 AND nationality = "south korea" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3628,
41,
4350,
584,
4280,
28027,
6,
1678,
584,
4280,
28027,
6,
1157,
485,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
19,
45,
3414,
3,
5543,
15,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
3628,
549,
17444,
427,
1678,
3,
2,
220,
3430,
1157,
485,
3274,
96,
7,
670,
107,
3,
5543,
15,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the Title when the winner was suntory sungoliath, and a Season of 2011-12 details? | CREATE TABLE table_name_37 (title VARCHAR, winner VARCHAR, season VARCHAR) | SELECT title FROM table_name_37 WHERE winner = "suntory sungoliath" AND season = "2011-12 details" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4118,
41,
21869,
584,
4280,
28027,
6,
4668,
584,
4280,
28027,
6,
774,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
11029,
116,
8,
4668,
47,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
2233,
21680,
953,
834,
4350,
834,
4118,
549,
17444,
427,
4668,
3274,
96,
7,
202,
10972,
3,
7,
425,
4172,
9,
189,
121,
3430,
774,
3274,
96,
13907,
5947,
1030,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Location has a Competition of Group Stage, a Lineup of Start and a Date of 2000-09-17? | CREATE TABLE table_43668 (
"Match" text,
"Date" text,
"Location" text,
"Lineup" text,
"Result" text,
"Competition" text
) | SELECT "Location" FROM table_43668 WHERE "Competition" = 'group stage' AND "Lineup" = 'start' AND "Date" = '2000-09-17' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3420,
3651,
41,
96,
329,
14547,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
21022,
413,
121,
1499,
6,
96,
20119,
121,
1499,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
32,
75,
257,
121,
21680,
953,
834,
591,
3420,
3651,
549,
17444,
427,
96,
5890,
4995,
4749,
121,
3274,
3,
31,
10739,
1726,
31,
3430,
96,
21022,
413,
121,
3274,
3,
31,
10208,
31,
3430,
96,
308,
342,
121,
... |
In what district was incumbent first elected in 1938? | CREATE TABLE table_1342013_42 (
district VARCHAR,
first_elected VARCHAR
) | SELECT district FROM table_1342013_42 WHERE first_elected = 1938 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
11138,
834,
4165,
41,
3939,
584,
4280,
28027,
6,
166,
834,
19971,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
86,
125,
3939,
47,
28406,
166,
8160,
16,
2574... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3939,
21680,
953,
834,
23747,
11138,
834,
4165,
549,
17444,
427,
166,
834,
19971,
3274,
25745,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
give me the number of patients whose diagnoses icd9 code is 78321 and drug type is base? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "78321" AND prescriptions.drug_type = "BASE" | [
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,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
3... |
Which team has the outgoing manager John Meyler? | CREATE TABLE table_11190568_7 (team VARCHAR, outgoing_manager VARCHAR) | SELECT team FROM table_11190568_7 WHERE outgoing_manager = "John Meyler" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2596,
2294,
3076,
3651,
834,
940,
41,
11650,
584,
4280,
28027,
6,
91,
9545,
834,
24185,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
372,
65,
8,
91,
9545,
2743,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
372,
21680,
953,
834,
2596,
2294,
3076,
3651,
834,
940,
549,
17444,
427,
91,
9545,
834,
24185,
3274,
96,
18300,
1212,
63,
1171,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many audition city's are there with an episode air date of June 24, 2010? | CREATE TABLE table_27615445_1 (audition_city VARCHAR, episode_air_date VARCHAR) | SELECT COUNT(audition_city) FROM table_27615445_1 WHERE episode_air_date = "June 24, 2010" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
4241,
5062,
2128,
834,
536,
41,
402,
10569,
834,
6726,
584,
4280,
28027,
6,
5640,
834,
2256,
834,
5522,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
402,
10569,
834,
6726,
61,
21680,
953,
834,
2555,
4241,
5062,
2128,
834,
536,
549,
17444,
427,
5640,
834,
2256,
834,
5522,
3274,
96,
683,
444,
14320,
2735,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,... |
provide the number of patients on nu route of drug administration who were born before 2121. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2121" AND prescriptions.route = "NU" | [
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,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
which three countries are tied for last place ? | CREATE TABLE table_203_716 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
) | SELECT "nation" FROM table_203_716 WHERE "rank" = (SELECT "rank" FROM table_203_716 ORDER BY "rank" DESC LIMIT 1) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
940,
2938,
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,
29,
257,
121,
21680,
953,
834,
23330,
834,
940,
2938,
549,
17444,
427,
96,
6254,
121,
3274,
41,
23143,
14196,
96,
6254,
121,
21680,
953,
834,
23330,
834,
940,
2938,
4674,
11300,
272,
476,
96,
6254,
121,
309,
250... |
Who was home on November 26? | CREATE TABLE table_name_73 (
home VARCHAR,
date VARCHAR
) | SELECT home FROM table_name_73 WHERE date = "november 26" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
234,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
234,
30,
1671,
2208,
58,
1,
0,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
234,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
833,
3274,
96,
5326,
18247,
2208,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Date has a Tournament of national jewish hospital open, and a Runner(s)-up of pat bradley? | CREATE TABLE table_name_95 (
date VARCHAR,
tournament VARCHAR,
runner_s__up VARCHAR
) | SELECT date FROM table_name_95 WHERE tournament = "national jewish hospital open" AND runner_s__up = "pat bradley" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3301,
41,
833,
584,
4280,
28027,
6,
5892,
584,
4280,
28027,
6,
3,
10806,
834,
7,
834,
834,
413,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
767... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
3301,
549,
17444,
427,
5892,
3274,
96,
16557,
528,
210,
1273,
2833,
539,
121,
3430,
3,
10806,
834,
7,
834,
834,
413,
3274,
96,
4665,
3858,
26,
1306,
121,
1,
-100,
-100,
-100,
-100,
... |
What was the score on April 6, 2008? | CREATE TABLE table_name_12 (
score VARCHAR,
date VARCHAR
) | SELECT score FROM table_name_12 WHERE date = "april 6, 2008" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
2604,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2604,
30,
1186,
8580,
2628,
58,
1,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
833,
3274,
96,
9,
2246,
40,
8580,
2628,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the Lineup that has an Assist/pass of carli lloyd,a Competition of 2010 concacaf world cup qualifying group stage? | CREATE TABLE table_name_43 (
lineup VARCHAR,
assist_pass VARCHAR,
competition VARCHAR
) | SELECT lineup FROM table_name_43 WHERE assist_pass = "carli lloyd" AND competition = "2010 concacaf world cup qualifying – group stage" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4906,
41,
15561,
584,
4280,
28027,
6,
2094,
834,
3968,
584,
4280,
28027,
6,
2259,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
4919,
413,
24,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15561,
21680,
953,
834,
4350,
834,
4906,
549,
17444,
427,
2094,
834,
3968,
3274,
96,
1720,
40,
23,
3,
195,
32,
63,
26,
121,
3430,
2259,
3274,
96,
14926,
975,
658,
658,
89,
296,
4119,
18002,
3,
104,
563,
1726,
121,... |
What is Lisbeth Trickett's time? | CREATE TABLE table_63357 (
"Rank" real,
"Lane" real,
"Name" text,
"Nationality" text,
"Time" real
) | SELECT COUNT("Time") FROM table_63357 WHERE "Name" = 'lisbeth trickett' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3891,
519,
3436,
41,
96,
22557,
121,
490,
6,
96,
434,
152,
15,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
13368,
121,
490,
3,
61,
3,
32102,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
2847,
17161,
599,
121,
13368,
8512,
21680,
953,
834,
3891,
519,
3436,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
40,
159,
346,
189,
3,
3929,
12922,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the won when the points for was 496? | CREATE TABLE table_12792876_3 (won VARCHAR, points_for VARCHAR) | SELECT won FROM table_12792876_3 WHERE points_for = "496" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2122,
4440,
2577,
3959,
834,
519,
41,
210,
106,
584,
4280,
28027,
6,
979,
834,
1161,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
751,
116,
8,
979,
21,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
751,
21680,
953,
834,
2122,
4440,
2577,
3959,
834,
519,
549,
17444,
427,
979,
834,
1161,
3274,
96,
591,
4314,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
how long after 1999 was there a relegated movement ? | CREATE TABLE table_204_42 (
id number,
"season" number,
"level" text,
"division" text,
"section" text,
"position" text,
"movements" text
) | SELECT (SELECT "season" FROM table_204_42 WHERE "movements" = 'relegated') - 1999 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
4165,
41,
3,
23,
26,
381,
6,
96,
9476,
121,
381,
6,
96,
4563,
121,
1499,
6,
96,
26,
23,
6610,
121,
1499,
6,
96,
14309,
121,
1499,
6,
96,
4718,
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,
41,
23143,
14196,
96,
9476,
121,
21680,
953,
834,
26363,
834,
4165,
549,
17444,
427,
96,
7168,
10420,
121,
3274,
3,
31,
60,
8791,
26,
31,
61,
3,
18,
5247,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the Away Team Score of the Collingwood Home Team? | CREATE TABLE table_name_26 (away_team VARCHAR) | SELECT away_team AS score FROM table_name_26 WHERE away_team = "collingwood" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2688,
41,
8006,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
71,
1343,
2271,
17763,
13,
8,
9919,
53,
2037,
1210,
2271,
58,
1,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
550,
834,
11650,
6157,
2604,
21680,
953,
834,
4350,
834,
2688,
549,
17444,
427,
550,
834,
11650,
3274,
96,
3297,
697,
2037,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which method has a record of 3-0? | CREATE TABLE table_68577 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" text
) | SELECT "Method" FROM table_68577 WHERE "Record" = '3-0' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3651,
755,
4013,
41,
96,
1649,
7,
535,
1499,
6,
96,
1649,
7621,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
23351,
107,
32,
26,
121,
1499,
6,
96,
427,
2169,
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,
23351,
107,
32,
26,
121,
21680,
953,
834,
3651,
755,
4013,
549,
17444,
427,
96,
1649,
7621,
121,
3274,
3,
31,
22773,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
how many patients with sepsis diagnosis had csf lab test? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Sepsis" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | [
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,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
3... |
how many gold 's has brazil won ? | CREATE TABLE table_204_360 (
id number,
"year" number,
"host" text,
"gold" text,
"silver" text,
"bronze" text
) | SELECT COUNT(*) FROM table_204_360 WHERE "gold" = 'brazil' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
19208,
41,
3,
23,
26,
381,
6,
96,
1201,
121,
381,
6,
96,
12675,
121,
1499,
6,
96,
14910,
121,
1499,
6,
96,
7,
173,
624,
121,
1499,
6,
96,
13711,
776,
121,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
953,
834,
26363,
834,
19208,
549,
17444,
427,
96,
14910,
121,
3274,
3,
31,
1939,
702,
40,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Engine used before 1983? | CREATE TABLE table_70586 (
"Year" real,
"Team" text,
"Chassis" text,
"Engine" text,
"Rank" text,
"Points" real
) | SELECT "Engine" FROM table_70586 WHERE "Year" < '1983' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2518,
755,
3840,
41,
96,
476,
2741,
121,
490,
6,
96,
18699,
121,
1499,
6,
96,
3541,
6500,
7,
121,
1499,
6,
96,
31477,
121,
1499,
6,
96,
22557,
121,
1499,
6,
96,
22512,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
96,
31477,
121,
21680,
953,
834,
2518,
755,
3840,
549,
17444,
427,
96,
476,
2741,
121,
3,
2,
3,
31,
2294,
4591,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what's the thursday iuppiter (jupiter) with tuesday mars (mars) being marter | CREATE TABLE table_1277350_1 (
thursday_iuppiter__jupiter_ VARCHAR,
tuesday_mars__mars_ VARCHAR
) | SELECT thursday_iuppiter__jupiter_ FROM table_1277350_1 WHERE tuesday_mars__mars_ = "Marterì" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2122,
4013,
16975,
834,
536,
41,
3,
189,
3589,
1135,
834,
23,
413,
5230,
49,
834,
834,
2047,
5230,
49,
834,
584,
4280,
28027,
6,
3,
17,
76,
15,
7,
1135,
834,
1635,
7,
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,
3,
189,
3589,
1135,
834,
23,
413,
5230,
49,
834,
834,
2047,
5230,
49,
834,
21680,
953,
834,
2122,
4013,
16975,
834,
536,
549,
17444,
427,
3,
17,
76,
15,
7,
1135,
834,
1635,
7,
834,
834,
1635,
7,
834,
3274,
96,
... |
Who was the Rookie of the Year for the Season in 2000? | CREATE TABLE table_name_72 (
rookie_of_the_year VARCHAR,
season VARCHAR
) | SELECT rookie_of_the_year FROM table_name_72 WHERE season = 2000 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
24188,
834,
858,
834,
532,
834,
1201,
584,
4280,
28027,
6,
774,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
391,
21132,
13,
8,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
24188,
834,
858,
834,
532,
834,
1201,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
774,
3274,
2766,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
cardiogenic shock or severe hemodynamic instability, | CREATE TABLE table_test_3 (
"id" int,
"gender" string,
"pregnancy_or_lactation" bool,
"severe_hemodynamic_instability" bool,
"consent" bool,
"hemoglobin_a1c_hba1c" float,
"metallic_implants" bool,
"allergy_to_aspirin" bool,
"creatinine_clearance_cl" float,
"post_menopausal" bool,... | SELECT * FROM table_test_3 WHERE cardiogenic_shock = 1 OR severe_hemodynamic_instability = 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4377,
834,
519,
41,
96,
23,
26,
121,
16,
17,
6,
96,
122,
3868,
121,
6108,
6,
96,
2026,
11260,
11298,
834,
127,
834,
9700,
6821,
121,
3,
12840,
40,
6,
96,
7,
3258,
15,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1429,
21680,
953,
834,
4377,
834,
519,
549,
17444,
427,
16216,
17890,
834,
7,
19076,
3274,
209,
4674,
5274,
834,
6015,
32,
16928,
834,
77,
7,
17,
2020,
3274,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is Team 1, when Team 2 is "Iskra Odintsovo"? | CREATE TABLE table_name_36 (team_1 VARCHAR, team_2 VARCHAR) | SELECT team_1 FROM table_name_36 WHERE team_2 = "iskra odintsovo" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
11650,
834,
536,
584,
4280,
28027,
6,
372,
834,
357,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
2271,
1914,
116,
2271,
204,
19,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
372,
834,
536,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
372,
834,
357,
3274,
96,
159,
9669,
3,
32,
2644,
17,
7,
32,
1621,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the smallest number of gold medals a country with 7 medals has? | CREATE TABLE table_60858 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
) | SELECT MIN("Gold") FROM table_60858 WHERE "Total" = '7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3328,
927,
3449,
41,
96,
22557,
121,
490,
6,
96,
567,
257,
121,
1499,
6,
96,
23576,
121,
490,
6,
96,
134,
173,
624,
121,
490,
6,
96,
22780,
29,
776,
121,
490,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
121,
23576,
8512,
21680,
953,
834,
3328,
927,
3449,
549,
17444,
427,
96,
3696,
1947,
121,
3274,
3,
31,
940,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the route for the destination of guruvayur? | CREATE TABLE table_4240 (
"Train number" real,
"Train name" text,
"Origin" text,
"Destination" text,
"Service" text,
"Route/Via." text
) | SELECT "Route/Via." FROM table_4240 WHERE "Destination" = 'Guruvayur' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
11944,
41,
96,
9402,
77,
381,
121,
490,
6,
96,
9402,
77,
564,
121,
1499,
6,
96,
667,
3380,
77,
121,
1499,
6,
96,
308,
222,
77,
257,
121,
1499,
6,
96,
15260,
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,
448,
670,
15,
87,
553,
23,
9,
535,
21680,
953,
834,
591,
11944,
549,
17444,
427,
96,
308,
222,
77,
257,
121,
3274,
3,
31,
517,
450,
76,
900,
63,
450,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which person has an expiring term of December 31, 2020, and has Terry Branstad as the appointing governor? | CREATE TABLE table_name_8 (
name VARCHAR,
term_expires VARCHAR,
appointing_governor VARCHAR
) | SELECT name FROM table_name_8 WHERE term_expires = "december 31, 2020" AND appointing_governor = "terry branstad" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
564,
584,
4280,
28027,
6,
1657,
834,
994,
2388,
15,
7,
584,
4280,
28027,
6,
3,
9,
102,
15989,
834,
122,
1890,
29,
127,
584,
4280,
28027,
3,
61,
3,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
1657,
834,
994,
2388,
15,
7,
3274,
96,
221,
75,
18247,
12074,
6503,
121,
3430,
3,
9,
102,
15989,
834,
122,
1890,
29,
127,
3274,
96,
449,
651,
3858,
29,
2427,
... |
What is the sum of sliver medals when there were 2 gold medals, less than 15 total medals, and the rank is greater than 5? | CREATE TABLE table_name_88 (
silver INTEGER,
rank VARCHAR,
gold VARCHAR,
total VARCHAR
) | SELECT SUM(silver) FROM table_name_88 WHERE gold = 2 AND total < 15 AND rank > 5 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4060,
41,
4294,
3,
21342,
17966,
6,
11003,
584,
4280,
28027,
6,
2045,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
7,
173,
624,
61,
21680,
953,
834,
4350,
834,
4060,
549,
17444,
427,
2045,
3274,
204,
3430,
792,
3,
2,
627,
3430,
11003,
2490,
305,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
At which ground did Dirk Nannes have a figure of 4/23? | CREATE TABLE table_name_37 (
ground VARCHAR,
figures VARCHAR
) | SELECT ground FROM table_name_37 WHERE figures = "4/23" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4118,
41,
1591,
584,
4280,
28027,
6,
5638,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
486,
84,
1591,
410,
7454,
157,
15206,
1496,
43,
3,
9,
2320,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1591,
21680,
953,
834,
4350,
834,
4118,
549,
17444,
427,
5638,
3274,
96,
591,
87,
2773,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Who was the CM winning team when the FM winning team was #17 Elva - Ford? | CREATE TABLE table_29225103_2 (
cm_winning_team VARCHAR,
fm_winning_team VARCHAR
) | SELECT cm_winning_team FROM table_29225103_2 WHERE fm_winning_team = "#17 Elva - Ford" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3166,
20489,
17864,
834,
357,
41,
2446,
834,
8163,
834,
11650,
584,
4280,
28027,
6,
3,
89,
51,
834,
8163,
834,
11650,
584,
4280,
28027,
3,
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,
2446,
834,
8163,
834,
11650,
21680,
953,
834,
3166,
20489,
17864,
834,
357,
549,
17444,
427,
3,
89,
51,
834,
8163,
834,
11650,
3274,
96,
4663,
2517,
1289,
900,
3,
18,
5222,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the record for june 7 | CREATE TABLE table_21315 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location/Attendance" text,
"Record" text
) | SELECT "Record" FROM table_21315 WHERE "Date" = 'June 7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
2368,
1808,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
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,
1649,
7621,
121,
21680,
953,
834,
357,
2368,
1808,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
683,
444,
489,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What country had a paste publication in 2009? | CREATE TABLE table_76805 (
"Publication" text,
"Country" text,
"Accolade" text,
"Year" real,
"Rank" real
) | SELECT "Country" FROM table_76805 WHERE "Year" = '2009' AND "Publication" = 'paste' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3959,
2079,
755,
41,
96,
30931,
257,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
19543,
32,
14712,
121,
1499,
6,
96,
476,
2741,
121,
490,
6,
96,
22557,
121,
490,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
96,
10628,
651,
121,
21680,
953,
834,
3959,
2079,
755,
549,
17444,
427,
96,
476,
2741,
121,
3274,
3,
31,
16660,
31,
3430,
96,
30931,
257,
121,
3274,
3,
31,
102,
8323,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
tell me the age and health insurance of patient with patient id 17595. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT demographic.age, demographic.insurance FROM demographic WHERE demographic.subject_id = "17595" | [
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,
14798,
5,
545,
6,
14798,
5,
29441,
21680,
14798,
549,
17444,
427,
14798,
5,
7304,
11827,
834,
23,
26,
3274,
96,
2517,
3390,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What was Turkey's lowest gold when there were less than 2 bronze? | CREATE TABLE table_name_83 (
gold INTEGER,
nation VARCHAR,
bronze VARCHAR
) | SELECT MIN(gold) FROM table_name_83 WHERE nation = "turkey" AND bronze < 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
2045,
3,
21342,
17966,
6,
2982,
584,
4280,
28027,
6,
13467,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
9299,
31,
7,
7402,
2045,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
14910,
61,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
2982,
3274,
96,
2905,
4397,
121,
3430,
13467,
3,
2,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Year won of Davis Love III with a Total of less than 149? | CREATE TABLE table_64861 (
"Player" text,
"Country" text,
"Year won" real,
"Total" real,
"To par" real
) | SELECT COUNT("Year won") FROM table_64861 WHERE "Player" = 'davis love iii' AND "Total" < '149' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4389,
3840,
536,
41,
96,
15800,
49,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
476,
2741,
751,
121,
490,
6,
96,
3696,
1947,
121,
490,
6,
96,
3696,
260,
121,
490,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
476,
2741,
751,
8512,
21680,
953,
834,
4389,
3840,
536,
549,
17444,
427,
96,
15800,
49,
121,
3274,
3,
31,
26,
2960,
7,
333,
3,
23,
23,
23,
31,
3430,
96,
3696,
1947,
121,
3,
2,
3,
31,
248... |
What is the sum of Grid, when Time is "+16.687"? | CREATE TABLE table_name_60 (grid INTEGER, time VARCHAR) | SELECT SUM(grid) FROM table_name_60 WHERE time = "+16.687" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3328,
41,
3496,
26,
3,
21342,
17966,
6,
97,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
4505,
13,
23644,
6,
116,
2900,
19,
96,
18446,
28833,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
180,
6122,
599,
3496,
26,
61,
21680,
953,
834,
4350,
834,
3328,
549,
17444,
427,
97,
3274,
96,
18446,
28833,
4225,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the amount of job_id , and group by attribute job_id. | 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 regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
... | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID | [
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,
446,
10539,
834,
4309,
6,
2847,
17161,
599,
15355,
279,
834,
4309,
61,
21680,
1652,
549,
17444,
427,
30085,
834,
567,
17683,
8729,
9914,
3,
31,
1454,
308,
1454,
31,
4674,
30085,
834,
567,
17683,
8729,
9914,
3,
31,
1... |
Return the name of rooms and the number of reservations made for each of the rooms to draw a bar chart, and order bars in asc order. | CREATE TABLE Reservations (
Code INTEGER,
Room TEXT,
CheckIn TEXT,
CheckOut TEXT,
Rate REAL,
LastName TEXT,
FirstName TEXT,
Adults INTEGER,
Kids INTEGER
)
CREATE TABLE Rooms (
RoomId TEXT,
roomName TEXT,
beds INTEGER,
bedType TEXT,
maxOccupancy INTEGER,
baseP... | SELECT roomName, COUNT(*) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room ORDER BY roomName | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
27659,
7,
41,
3636,
3,
21342,
17966,
6,
4181,
3,
3463,
4,
382,
6,
1972,
1570,
3,
3463,
4,
382,
6,
1972,
15767,
3,
3463,
4,
382,
6,
13002,
17833,
6,
2506,
23954,
3,
3463,
4,
382,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
562,
23954,
6,
2847,
17161,
599,
1935,
61,
21680,
27659,
7,
6157,
332,
536,
3,
15355,
3162,
4181,
7,
6157,
332,
357,
9191,
332,
5411,
22778,
51,
3274,
332,
4416,
22778,
51,
196,
26,
350,
4630,
6880,
272,
476,
332,
... |
What city of license has a value of k293bg for its call sign? | CREATE TABLE table_69636 (
"Call sign" text,
"Frequency MHz" real,
"City of license" text,
"ERP W" real,
"Class" text,
"FCC info" text
) | SELECT "City of license" FROM table_69636 WHERE "Call sign" = 'k293bg' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3951,
948,
3420,
41,
96,
254,
1748,
1320,
121,
1499,
6,
96,
371,
60,
835,
11298,
3,
20210,
121,
490,
6,
96,
254,
485,
13,
3344,
121,
1499,
6,
96,
3316,
345,
549,
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,
254,
485,
13,
3344,
121,
21680,
953,
834,
3951,
948,
3420,
549,
17444,
427,
96,
254,
1748,
1320,
121,
3274,
3,
31,
157,
357,
4271,
115,
122,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
For the Persian Title , what were the results? | CREATE TABLE table_23115 (
"Year (Ceremony)" text,
"Film title used in nomination" text,
"Persian title" text,
"Director" text,
"Result" text
) | SELECT "Result" FROM table_23115 WHERE "Persian title" = 'میم مثل مادر' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
15660,
41,
96,
476,
2741,
41,
254,
49,
15,
21208,
61,
121,
1499,
6,
96,
371,
173,
51,
2233,
261,
16,
13588,
121,
1499,
6,
96,
12988,
10488,
2233,
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,
20119,
121,
21680,
953,
834,
2773,
15660,
549,
17444,
427,
96,
12988,
10488,
2233,
121,
3274,
3,
31,
2,
3,
2,
3,
2,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
When did sla ana peji , who was evicted on day 29, enter the house? | CREATE TABLE table_name_82 (
entered_the_house VARCHAR,
evicted VARCHAR,
name VARCHAR
) | SELECT entered_the_house FROM table_name_82 WHERE evicted = "day 29" AND name = "slađana pejić" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4613,
41,
5136,
834,
532,
834,
1840,
584,
4280,
28027,
6,
3,
15,
7287,
1054,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
36... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5136,
834,
532,
834,
1840,
21680,
953,
834,
4350,
834,
4613,
549,
17444,
427,
3,
15,
7287,
1054,
3274,
96,
1135,
2838,
121,
3430,
564,
3274,
96,
7,
521,
2,
152,
9,
158,
354,
23,
2,
121,
1,
-100,
-100,
-100,
-100... |
What is the largest week with the Atlanta Falcons as the opponent? | CREATE TABLE table_48711 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
) | SELECT MAX("Week") FROM table_48711 WHERE "Opponent" = 'atlanta falcons' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
4225,
2596,
41,
96,
518,
10266,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
188,
17,
324,
26,
663,
121,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
518,
10266,
8512,
21680,
953,
834,
591,
4225,
2596,
549,
17444,
427,
96,
667,
102,
9977,
121,
3274,
3,
31,
144,
6761,
9,
12553,
8056,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Show the name of track and the number of races in each track Visualize by bar chart, order in desc by the Name. | CREATE TABLE track (
Track_ID int,
Name text,
Location text,
Seating real,
Year_Opened real
)
CREATE TABLE race (
Race_ID int,
Name text,
Class text,
Date text,
Track_ID text
) | SELECT T2.Name, COUNT(*) FROM race AS T1 JOIN track AS T2 ON T1.Track_ID = T2.Track_ID GROUP BY T1.Track_ID ORDER BY T2.Name DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1463,
41,
8799,
834,
4309,
16,
17,
6,
5570,
1499,
6,
10450,
1499,
6,
15915,
53,
490,
6,
2929,
834,
22696,
15,
26,
490,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
332,
4416,
23954,
6,
2847,
17161,
599,
1935,
61,
21680,
1964,
6157,
332,
536,
3,
15355,
3162,
1463,
6157,
332,
357,
9191,
332,
5411,
382,
16729,
834,
4309,
3274,
332,
4416,
382,
16729,
834,
4309,
350,
4630,
6880,
272,... |
What is the title of episode number 14? | CREATE TABLE table_19161605_2 (
title VARCHAR,
_number VARCHAR
) | SELECT title FROM table_19161605_2 WHERE _number = 14 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2294,
2938,
2938,
3076,
834,
357,
41,
2233,
584,
4280,
28027,
6,
3,
834,
5525,
1152,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2233,
13,
5640,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2233,
21680,
953,
834,
2294,
2938,
2938,
3076,
834,
357,
549,
17444,
427,
3,
834,
5525,
1152,
3274,
968,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How many locations does the team Newcastle Jets come from? | CREATE TABLE table_17916 (
"Team" text,
"Location" text,
"Stadium" text,
"Founded" real,
"Joined" real,
"Head Coach" text,
"Captain" text
) | SELECT COUNT("Location") FROM table_17916 WHERE "Team" = 'Newcastle Jets' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26593,
2938,
41,
96,
18699,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
134,
17,
9,
12925,
121,
1499,
6,
96,
20100,
121,
490,
6,
96,
683,
32,
630,
26,
121,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
434,
32,
75,
257,
8512,
21680,
953,
834,
26593,
2938,
549,
17444,
427,
96,
18699,
121,
3274,
3,
31,
6861,
5254,
109,
12434,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
On what Date was the Works Number 7? | CREATE TABLE table_58106 (
"Number" text,
"Builder" text,
"Type" text,
"Date" text,
"Works number" text
) | SELECT "Date" FROM table_58106 WHERE "Works number" = '7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3449,
16431,
41,
96,
567,
5937,
49,
121,
1499,
6,
96,
24752,
49,
121,
1499,
6,
96,
25160,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
12492,
7,
381,
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,
308,
342,
121,
21680,
953,
834,
3449,
16431,
549,
17444,
427,
96,
12492,
7,
381,
121,
3274,
3,
31,
940,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is hte nuumber of employees that has a revenue of 104.000? | CREATE TABLE table_name_60 (employees__world_ VARCHAR, revenue__mil€_ VARCHAR) | SELECT employees__world_ FROM table_name_60 WHERE revenue__mil€_ = "104.000" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3328,
41,
15,
51,
7379,
63,
15,
15,
7,
834,
834,
7276,
834,
584,
4280,
28027,
6,
3751,
834,
834,
51,
173,
3378,
834,
584,
4280,
28027,
61,
3,
32102,
32103,
321... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1652,
834,
834,
7276,
834,
21680,
953,
834,
4350,
834,
3328,
549,
17444,
427,
3751,
834,
834,
51,
173,
3378,
834,
3274,
96,
1714,
30952,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is minimum age for different job title. Show a pie chart. | CREATE TABLE Person (
name varchar(20),
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER
) | SELECT job, MIN(age) FROM Person GROUP BY job | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
5780,
41,
564,
3,
4331,
4059,
599,
1755,
201,
1246,
3,
21342,
17966,
6,
690,
3,
3463,
4,
382,
6,
7285,
3,
3463,
4,
382,
6,
613,
3,
3463,
4,
382,
3,
61,
3,
32102,
32103,
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,
613,
6,
3,
17684,
599,
545,
61,
21680,
5780,
350,
4630,
6880,
272,
476,
613,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who was the away team when the home team was Sunderland? | CREATE TABLE table_name_48 (away_team VARCHAR, home_team VARCHAR) | SELECT away_team FROM table_name_48 WHERE home_team = "sunderland" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3707,
41,
8006,
834,
11650,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
550,
372,
116,
8,
234,
372,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
550,
834,
11650,
21680,
953,
834,
4350,
834,
3707,
549,
17444,
427,
234,
834,
11650,
3274,
96,
7,
7248,
40,
232,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Tell me the highest NGC number for right ascension of 09h40m28.5s | CREATE TABLE table_name_57 (
ngc_number INTEGER,
right_ascension___j2000__ VARCHAR
) | SELECT MAX(ngc_number) FROM table_name_57 WHERE right_ascension___j2000__ = "09h40m28.5s" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
3,
1725,
75,
834,
5525,
1152,
3,
21342,
17966,
6,
269,
834,
9,
7,
75,
35,
1938,
834,
834,
834,
354,
13527,
834,
834,
584,
4280,
28027,
3,
61,
3,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
1725,
75,
834,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
269,
834,
9,
7,
75,
35,
1938,
834,
834,
834,
354,
13527,
834,
834,
3274,
96,
4198,
107,
2445,
51,
357,
19253,
7,
12... |
What is the Java EE compatibility of the 5.2.4 edition? | CREATE TABLE table_49691 (
"Product" text,
"Vendor" text,
"Edition" text,
"Release date" text,
"Java EE compatibility" text,
"License" text
) | SELECT "Java EE compatibility" FROM table_49691 WHERE "Edition" = '5.2.4' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3647,
3951,
536,
41,
96,
3174,
7472,
121,
1499,
6,
96,
553,
989,
127,
121,
1499,
6,
96,
427,
10569,
121,
1499,
6,
96,
1649,
40,
14608,
833,
121,
1499,
6,
96,
683,
8644,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
8644,
3,
5080,
14235,
485,
121,
21680,
953,
834,
3647,
3951,
536,
549,
17444,
427,
96,
427,
10569,
121,
3274,
3,
31,
9125,
17638,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the total number of silver medals for karate athletes with over 2 golds? | CREATE TABLE table_name_33 (silver VARCHAR, sport VARCHAR, gold VARCHAR) | SELECT COUNT(silver) FROM table_name_33 WHERE sport = "karate" AND gold > 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
7,
173,
624,
584,
4280,
28027,
6,
2600,
584,
4280,
28027,
6,
2045,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
381,
13,
4294,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
7,
173,
624,
61,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
2600,
3274,
96,
4031,
342,
121,
3430,
2045,
2490,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who was the challenger on Episode 5? | CREATE TABLE table_23982399_1 (
challenger VARCHAR,
overall_episode__number VARCHAR
) | SELECT challenger FROM table_23982399_1 WHERE overall_episode__number = 5 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
3916,
2773,
3264,
834,
536,
41,
1921,
52,
584,
4280,
28027,
6,
1879,
834,
15,
102,
159,
32,
221,
834,
834,
5525,
1152,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1921,
52,
21680,
953,
834,
2773,
3916,
2773,
3264,
834,
536,
549,
17444,
427,
1879,
834,
15,
102,
159,
32,
221,
834,
834,
5525,
1152,
3274,
305,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was the new WNBA team of the player selected with a pick over 7? | CREATE TABLE table_name_52 (
new_wnba_team VARCHAR,
pick INTEGER
) | SELECT new_wnba_team FROM table_name_52 WHERE pick > 7 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
126,
834,
210,
29,
115,
9,
834,
11650,
584,
4280,
28027,
6,
1432,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
126,
3,
21170,
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,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
126,
834,
210,
29,
115,
9,
834,
11650,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
1432,
2490,
489,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What sensor has a resolution of 640x480 with small CPU usage, jpeg compressed output and a camera of sony playstation eyetoy? | CREATE TABLE table_name_21 (sensor VARCHAR, camera VARCHAR, output VARCHAR, sensor_resolution VARCHAR, cpu_usage VARCHAR) | SELECT sensor FROM table_name_21 WHERE sensor_resolution = "640x480" AND cpu_usage = "small" AND output = "jpeg compressed" AND camera = "sony playstation eyetoy" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2658,
41,
26052,
584,
4280,
28027,
6,
1861,
584,
4280,
28027,
6,
3911,
584,
4280,
28027,
6,
7824,
834,
60,
14913,
584,
4280,
28027,
6,
3,
75,
4987,
834,
18672,
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,
7824,
21680,
953,
834,
4350,
834,
2658,
549,
17444,
427,
7824,
834,
60,
14913,
3274,
96,
23714,
226,
20579,
121,
3430,
3,
75,
4987,
834,
18672,
3274,
96,
23728,
121,
3430,
3911,
3274,
96,
354,
855,
122,
25423,
121,
... |
Name the points for where lost is 4 | CREATE TABLE table_15467476_2 (
points_for VARCHAR,
lost VARCHAR
) | SELECT COUNT(points_for) FROM table_15467476_2 WHERE lost = "4" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
4448,
4581,
3959,
834,
357,
41,
979,
834,
1161,
584,
4280,
28027,
6,
1513,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
979,
21,
213,
1513,
19,
31... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
2700,
7,
834,
1161,
61,
21680,
953,
834,
1808,
4448,
4581,
3959,
834,
357,
549,
17444,
427,
1513,
3274,
96,
20364,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the hometown/high school of 170 pound player tyler wilson? | CREATE TABLE table_name_81 (
hometown_highschool VARCHAR,
weight VARCHAR,
name VARCHAR
) | SELECT hometown_highschool FROM table_name_81 WHERE weight = 170 AND name = "tyler wilson" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
22295,
834,
6739,
6646,
584,
4280,
28027,
6,
1293,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
22295,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
22295,
834,
6739,
6646,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
1293,
3274,
209,
2518,
3430,
564,
3274,
96,
17,
63,
1171,
3,
210,
173,
739,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What was her lowest final score with a qualifying score of 74.075? | CREATE TABLE table_79564 (
"Year" real,
"Competition Description" text,
"Location" text,
"Apparatus" text,
"Rank-Final" text,
"Score-Final" real,
"Rank-Qualifying" text,
"Score-Qualifying" real
) | SELECT MIN("Score-Final") FROM table_79564 WHERE "Score-Qualifying" = '74.075' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4440,
4834,
591,
41,
96,
476,
2741,
121,
490,
6,
96,
5890,
4995,
4749,
7726,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
9648,
9,
1795,
302,
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,
3,
17684,
599,
121,
134,
9022,
18,
371,
10270,
8512,
21680,
953,
834,
4440,
4834,
591,
549,
17444,
427,
96,
134,
9022,
18,
5991,
138,
8587,
121,
3274,
3,
31,
940,
15021,
3072,
31,
1,
-100,
-100,
-100,
-100,
-100,
... |
Which country is ranked 24? | CREATE TABLE table_name_57 (country VARCHAR, rank VARCHAR) | SELECT country FROM table_name_57 WHERE rank = "24" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
17529,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
684,
19,
3,
8232,
997,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
684,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
11003,
3274,
96,
2266,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Player has a Place of T2 and a Country listed as Fiji? | CREATE TABLE table_name_33 (player VARCHAR, place VARCHAR, country VARCHAR) | SELECT player FROM table_name_33 WHERE place = "t2" AND country = "fiji" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
20846,
584,
4280,
28027,
6,
286,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
12387,
65,
3,
9,
3399,
13,
332,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
286,
3274,
96,
17,
357,
121,
3430,
684,
3274,
96,
89,
17279,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the number of patients with white ethnicity and diagnosed for panic disorder without agoraphobia? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.long_title = "Panic disorder without agoraphobia" | [
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,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
What were Will Rackley's total rounds? | CREATE TABLE table_name_89 (
round VARCHAR,
name VARCHAR
) | SELECT COUNT(round) FROM table_name_89 WHERE name = "will rackley" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3914,
41,
1751,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
130,
2003,
24688,
1306,
31,
7,
792,
14419,
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,
2847,
17161,
599,
7775,
61,
21680,
953,
834,
4350,
834,
3914,
549,
17444,
427,
564,
3274,
96,
8894,
7782,
1306,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which game type has most number of games? | CREATE TABLE video_games (
gameid number,
gname text,
gtype text
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
CREATE TABLE sportsinfo (
stuid number,
sportname text,
hoursperw... | SELECT gtype FROM video_games GROUP BY gtype ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
671,
834,
7261,
7,
41,
467,
23,
26,
381,
6,
3,
122,
4350,
1499,
6,
3,
122,
6137,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
1236,
41,
21341,
23,
26,
381,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
122,
6137,
21680,
671,
834,
7261,
7,
350,
4630,
6880,
272,
476,
3,
122,
6137,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the average of all the years when the notes are electronics brand? | CREATE TABLE table_name_36 (
year INTEGER,
notes VARCHAR
) | SELECT AVG(year) FROM table_name_36 WHERE notes = "electronics brand" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
215,
3,
21342,
17966,
6,
3358,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1348,
13,
66,
8,
203,
116,
8,
3358,
33,
12800,
105... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
71,
17217,
599,
1201,
61,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
3358,
3274,
96,
15,
3437,
52,
4554,
7,
1056,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What's the average crowd size when the Home team is melbourne? | CREATE TABLE table_78356 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT AVG("Crowd") FROM table_78356 WHERE "Home team" = 'melbourne' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3940,
2469,
948,
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,
71,
17217,
599,
121,
254,
3623,
26,
8512,
21680,
953,
834,
3940,
2469,
948,
549,
17444,
427,
96,
19040,
372,
121,
3274,
3,
31,
2341,
26255,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Draw a bar chart about the distribution of All_Home and the average of School_ID , and group by attribute All_Home. | CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Per... | SELECT All_Home, AVG(School_ID) FROM basketball_match GROUP BY All_Home | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3819,
41,
1121,
834,
4309,
16,
17,
6,
1121,
1499,
6,
10450,
1499,
6,
3,
20100,
490,
6,
71,
89,
8027,
23,
257,
1499,
6,
695,
4046,
297,
490,
6,
7486,
4350,
1499,
6,
14542,
834,
28... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
432,
834,
19040,
6,
71,
17217,
599,
29364,
834,
4309,
61,
21680,
8498,
834,
19515,
350,
4630,
6880,
272,
476,
432,
834,
19040,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who is the opponent in the final of the match on 19 February 2006? | CREATE TABLE table_36977 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent in the final" text,
"Score" text
) | SELECT "Opponent in the final" FROM table_36977 WHERE "Date" = '19 february 2006' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
3951,
4013,
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,
667,
10... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
16,
8,
804,
121,
21680,
953,
834,
519,
3951,
4013,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
2294,
29976,
76,
1208,
3581,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who was the director of the episode with a season after 8 and an episode of XVI? | CREATE TABLE table_name_77 (directed_by VARCHAR, season VARCHAR, episode VARCHAR) | SELECT directed_by FROM table_name_77 WHERE season > 8 AND episode = "xvi" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4013,
41,
22955,
834,
969,
584,
4280,
28027,
6,
774,
584,
4280,
28027,
6,
5640,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
2090,
13,
8,
56... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
6640,
834,
969,
21680,
953,
834,
4350,
834,
4013,
549,
17444,
427,
774,
2490,
505,
3430,
5640,
3274,
96,
226,
2099,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the score of the game when the record was 35-47? | CREATE TABLE table_name_76 (score VARCHAR, record VARCHAR) | SELECT score FROM table_name_76 WHERE record = "35-47" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
7,
9022,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2604,
13,
8,
467,
116,
8,
1368,
47,
3097,
18,
41... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
1368,
3274,
96,
2469,
18,
4177,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which major has between 2 and 30 number of students? List major and the number of students. | CREATE TABLE Student (
Major VARCHAR
) | SELECT Major, COUNT(*) FROM Student GROUP BY Major HAVING COUNT(Major) BETWEEN 2 AND 30 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
6341,
41,
9236,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
779,
65,
344,
204,
11,
604,
381,
13,
481,
58,
6792,
779,
11,
8,
381,
13,
481,
5,
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,
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,
9236,
6,
2847,
17161,
599,
1935,
61,
21680,
6341,
350,
4630,
6880,
272,
476,
9236,
454,
6968,
2365,
2847,
17161,
599,
329,
9,
12775,
61,
272,
7969,
518,
23394,
204,
3430,
604,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what number is associated with the baltic fleet and leninets ( )? | CREATE TABLE table_4475 (
"Number" text,
"Name" text,
"Meaning" text,
"Fleet" text,
"Launched" text
) | SELECT "Number" FROM table_4475 WHERE "Fleet" = 'baltic' AND "Name" = 'leninets (ленинец)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3628,
3072,
41,
96,
567,
5937,
49,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
329,
15,
152,
53,
121,
1499,
6,
96,
371,
109,
15,
17,
121,
1499,
6,
96,
3612,
202,
4513,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
567,
5937,
49,
121,
21680,
953,
834,
3628,
3072,
549,
17444,
427,
96,
371,
109,
15,
17,
121,
3274,
3,
31,
3849,
1225,
31,
3430,
96,
23954,
121,
3274,
3,
31,
26532,
1582,
7,
41,
6588,
21302,
14142,
2,
61,
31,... |
Find the emails and phone numbers of all the customers, ordered by email address and phone number. | CREATE TABLE customers (
customer_id number,
customer_type_code text,
address_line_1 text,
address_line_2 text,
town_city text,
state text,
email_address text,
phone_number text
)
CREATE TABLE complaints (
complaint_id number,
product_id number,
customer_id number,
compl... | SELECT email_address, phone_number FROM customers ORDER BY email_address, phone_number | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
722,
41,
884,
834,
23,
26,
381,
6,
884,
834,
6137,
834,
4978,
1499,
6,
1115,
834,
747,
834,
536,
1499,
6,
1115,
834,
747,
834,
357,
1499,
6,
1511,
834,
6726,
1499,
6,
538,
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,
791,
834,
9,
26,
12039,
6,
951,
834,
5525,
1152,
21680,
722,
4674,
11300,
272,
476,
791,
834,
9,
26,
12039,
6,
951,
834,
5525,
1152,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who's the player that's male and on the original season of RW: Key West? | CREATE TABLE table_name_36 (
player VARCHAR,
gender VARCHAR,
original_season VARCHAR
) | SELECT player FROM table_name_36 WHERE gender = "male" AND original_season = "rw: key west" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
1959,
584,
4280,
28027,
6,
7285,
584,
4280,
28027,
6,
926,
834,
9476,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
31,
7,
8,
1959,
24,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1959,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
7285,
3274,
96,
13513,
121,
3430,
926,
834,
9476,
3274,
96,
52,
210,
10,
843,
4653,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
List all payment methods and number of payments using each payment methods by a bar chart, show by the Y-axis in descending. | CREATE TABLE Customer_Payments (
customer_id INTEGER,
datetime_payment DATETIME,
payment_method_code VARCHAR(10),
amount_payment DOUBLE
)
CREATE TABLE Vehicles (
vehicle_id INTEGER,
vehicle_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_address_id INTEGER... | SELECT payment_method_code, COUNT(*) FROM Customer_Payments GROUP BY payment_method_code ORDER BY COUNT(*) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7327,
834,
19702,
4128,
41,
884,
834,
23,
26,
3,
21342,
17966,
6,
833,
715,
834,
21752,
309,
6048,
382,
15382,
6,
1942,
834,
23152,
834,
4978,
584,
4280,
28027,
599,
16968,
6,
866,
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,
1942,
834,
23152,
834,
4978,
6,
2847,
17161,
599,
1935,
61,
21680,
7327,
834,
19702,
4128,
350,
4630,
6880,
272,
476,
1942,
834,
23152,
834,
4978,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
1,
-100... |
Against what opponent did the Wildcats have a record of 5-4? | CREATE TABLE table_24464253_1 (
opponent VARCHAR,
record VARCHAR
) | SELECT opponent FROM table_24464253_1 WHERE record = "5-4" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
4448,
4165,
4867,
834,
536,
41,
15264,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
3,
20749,
125,
15264,
410,
8,
5342,
2138,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
21680,
953,
834,
2266,
4448,
4165,
4867,
834,
536,
549,
17444,
427,
1368,
3274,
96,
755,
18,
20364,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
On all other parties the National option polls are at 1.3% where as the opinion research pole is at what percentage? | CREATE TABLE table_20444 (
"Party" text,
"Marplan" text,
"Gallup" text,
"National Opinion Polls (NOP)" text,
"Opinion Research Centre (OPC)" text,
"Harris" text
) | SELECT "Opinion Research Centre (OPC)" FROM table_20444 WHERE "National Opinion Polls (NOP)" = '1.3%' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
3628,
41,
96,
13725,
63,
121,
1499,
6,
96,
7286,
3767,
121,
1499,
6,
96,
517,
1748,
413,
121,
1499,
6,
96,
24732,
411,
22441,
14457,
7,
41,
7400,
345,
61,
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,
667,
22441,
2200,
2969,
41,
4652,
254,
61,
121,
21680,
953,
834,
26363,
3628,
549,
17444,
427,
96,
24732,
411,
22441,
14457,
7,
41,
7400,
345,
61,
121,
3274,
3,
31,
13606,
1454,
31,
1,
-100,
-100,
-100,
-100,
... |
For each account type, find the average account balance of customers with credit score lower than 50 Show bar chart, and display by the bars in desc please. | CREATE TABLE bank (
branch_ID int,
bname varchar(20),
no_of_customers int,
city varchar(10),
state varchar(20)
)
CREATE TABLE loan (
loan_ID varchar(3),
loan_type varchar(15),
cust_ID varchar(3),
branch_ID varchar(3),
amount int
)
CREATE TABLE customer (
cust_ID varchar(3),... | SELECT acc_type, AVG(acc_bal) FROM customer WHERE credit_score < 50 GROUP BY acc_type ORDER BY acc_type DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2137,
41,
6421,
834,
4309,
16,
17,
6,
3,
115,
4350,
3,
4331,
4059,
599,
1755,
201,
150,
834,
858,
834,
25697,
277,
16,
17,
6,
690,
3,
4331,
4059,
599,
16968,
6,
538,
3,
4331,
405... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6004,
834,
6137,
6,
71,
17217,
599,
6004,
834,
3849,
61,
21680,
884,
549,
17444,
427,
998,
834,
7,
9022,
3,
2,
943,
350,
4630,
6880,
272,
476,
3,
6004,
834,
6137,
4674,
11300,
272,
476,
3,
6004,
834,
6137,
30... |
Return a bar chart about the number of companies for each industry, and order in asc by the Y please. | CREATE TABLE employment (
Company_ID int,
People_ID int,
Year_working int
)
CREATE TABLE people (
People_ID int,
Age int,
Name text,
Nationality text,
Graduation_College text
)
CREATE TABLE company (
Company_ID real,
Name text,
Headquarters text,
Industry text,
Sale... | SELECT Industry, COUNT(Industry) FROM company GROUP BY Industry ORDER BY COUNT(Industry) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4311,
41,
1958,
834,
4309,
16,
17,
6,
2449,
834,
4309,
16,
17,
6,
2929,
834,
9238,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
151,
41,
2449,
834,
4309,
16,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
9036,
6,
2847,
17161,
599,
1570,
8655,
8224,
61,
21680,
349,
350,
4630,
6880,
272,
476,
9036,
4674,
11300,
272,
476,
2847,
17161,
599,
1570,
8655,
8224,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
For those dates that have the 5 highest cloud cover rates, please bin the date into the day of week interval and count their frequency. | CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
e... | SELECT date, COUNT(date) FROM weather | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2478,
41,
3,
23,
26,
3,
21342,
17966,
6,
564,
3,
3463,
4,
382,
6,
50,
17,
13046,
13098,
4666,
6,
307,
13046,
13098,
4666,
6,
12908,
834,
13362,
3,
21342,
17966,
6,
690,
3,
3463,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
833,
6,
2847,
17161,
599,
5522,
61,
21680,
1969,
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,
-100,
-100,... |
For each nationality, how many different constructors are there? | CREATE TABLE pitstops (
raceid number,
driverid number,
stop number,
lap number,
time text,
duration text,
milliseconds number
)
CREATE TABLE constructors (
constructorid number,
constructorref text,
name text,
nationality text,
url text
)
CREATE TABLE driverstandings (... | SELECT COUNT(*), nationality FROM constructors GROUP BY nationality | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7688,
7618,
7,
41,
1964,
23,
26,
381,
6,
1262,
4055,
381,
6,
1190,
381,
6,
14941,
381,
6,
97,
1499,
6,
8659,
1499,
6,
3293,
23,
12091,
7,
381,
3,
61,
3,
32102,
32103,
32102,
205,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
201,
1157,
485,
21680,
6774,
127,
7,
350,
4630,
6880,
272,
476,
1157,
485,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what was this artists last album under the curling legs label ? | CREATE TABLE table_204_529 (
id number,
"year" number,
"personnel" text,
"album" text,
"label" text,
"peak positions\nnor" number
) | SELECT "album" FROM table_204_529 WHERE "label" = 'curling legs' ORDER BY "year" DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
755,
3166,
41,
3,
23,
26,
381,
6,
96,
1201,
121,
381,
6,
96,
6075,
29,
15,
40,
121,
1499,
6,
96,
23703,
121,
1499,
6,
96,
40,
10333,
121,
1499,
6,
96,
146... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
23703,
121,
21680,
953,
834,
26363,
834,
755,
3166,
549,
17444,
427,
96,
40,
10333,
121,
3274,
3,
31,
3663,
697,
6217,
31,
4674,
11300,
272,
476,
96,
1201,
121,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,... |
when 0 100km/h (60mph) is 5.8 seconds (5.5), what is the engine? | CREATE TABLE table_27082 (
"Year" real,
"Engine" text,
"Power" text,
"Torque" text,
"Transmission" text,
"0\u2013100km/h (60mph)" text,
"Top speed" text,
"CO2" text
) | SELECT "Engine" FROM table_27082 WHERE "0\u2013100km/h (60mph)" = '5.8 seconds (5.5)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17485,
4613,
41,
96,
476,
2741,
121,
490,
6,
96,
31477,
121,
1499,
6,
96,
23553,
121,
1499,
6,
96,
382,
127,
835,
121,
1499,
6,
96,
18474,
5451,
121,
1499,
6,
96,
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,
96,
31477,
121,
21680,
953,
834,
17485,
4613,
549,
17444,
427,
96,
632,
2,
76,
11138,
2915,
5848,
87,
107,
41,
3328,
7656,
61,
121,
3274,
3,
31,
9125,
927,
3978,
41,
15938,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,... |
How tall is the contestant from Aruba? | CREATE TABLE table_23814 (
"Country" text,
"Contestant" text,
"Age" real,
"Height (cm)" real,
"Height (ft)" text,
"Hometown" text
) | SELECT "Height (ft)" FROM table_23814 WHERE "Country" = 'Aruba' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3747,
2534,
41,
96,
10628,
651,
121,
1499,
6,
96,
4302,
4377,
288,
121,
1499,
6,
96,
188,
397,
121,
490,
6,
96,
3845,
2632,
41,
75,
51,
61,
121,
490,
6,
96,
3845,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3845,
2632,
41,
89,
17,
61,
121,
21680,
953,
834,
357,
3747,
2534,
549,
17444,
427,
96,
10628,
651,
121,
3274,
3,
31,
188,
14446,
9,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the date of appointment for incoming manager Roy Hodgson and the team is Liverpool? | CREATE TABLE table_73619 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Table" text,
"Incoming manager" text,
"Date of appointment" text
) | SELECT "Date of appointment" FROM table_73619 WHERE "Team" = 'Liverpool' AND "Incoming manager" = 'Roy Hodgson' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
3420,
2294,
41,
96,
18699,
121,
1499,
6,
96,
15767,
9545,
2743,
121,
1499,
6,
96,
7296,
687,
13,
12028,
121,
1499,
6,
96,
308,
342,
13,
3,
29685,
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,
13,
4141,
121,
21680,
953,
834,
940,
3420,
2294,
549,
17444,
427,
96,
18699,
121,
3274,
3,
31,
24179,
52,
13194,
31,
3430,
96,
1570,
10622,
2743,
121,
3274,
3,
31,
448,
32,
63,
1546,
26,
122,
739,
... |
Studio host of john ryder, and a Year of 2007-08 had what play by play? | CREATE TABLE table_name_38 (play_by_play VARCHAR, studio_host VARCHAR, year VARCHAR) | SELECT play_by_play FROM table_name_38 WHERE studio_host = "john ryder" AND year = "2007-08" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3747,
41,
4895,
834,
969,
834,
4895,
584,
4280,
28027,
6,
3100,
834,
12675,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5929,
22... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
577,
834,
969,
834,
4895,
21680,
953,
834,
4350,
834,
3747,
549,
17444,
427,
3100,
834,
12675,
3274,
96,
27341,
3,
651,
588,
121,
3430,
215,
3274,
96,
20615,
18,
4018,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
In which round was Jerry Butler chosen? | CREATE TABLE table_name_58 (
round VARCHAR,
player VARCHAR
) | SELECT round FROM table_name_58 WHERE player = "jerry butler" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
1751,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
86,
84,
1751,
47,
16637,
21742,
3934,
58,
1,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1751,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
1959,
3274,
96,
12488,
651,
68,
1171,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
show me the number of patients who were injected or infused oxazolidinone class of antibiotics and discharged to skilled nursing facility. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SNF" AND procedures.long_title = "Injection or infusion of oxazolidinone class of antibiotics" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14798,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
564,
1499,
6,
2774,
1947,
834,
8547,
302,
1499,
6,
1246,
1499,
6,
103,
115,
1499,
6,
7285,
1499,
6,
1612,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
4293,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
Which Tournament was on 2 October 2006? | CREATE TABLE table_42891 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent in the final" text,
"Score" text
) | SELECT "Tournament" FROM table_42891 WHERE "Date" = '2 october 2006' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
2577,
4729,
41,
96,
308,
342,
121,
1499,
6,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
667,
102,
9977,
16,
8,
804,
121,
1499,
6,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
382,
1211,
20205,
17,
121,
21680,
953,
834,
591,
2577,
4729,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
357,
3,
32,
75,
235,
1152,
3581,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Find the number of courses offered by Psychology department in each building with a bar chart, and rank in asc by the X. | CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
)
CREATE TABLE section (
... | SELECT building, COUNT(building) FROM course AS T1 JOIN section AS T2 ON T1.course_id = T2.course_id WHERE T1.dept_name = 'Psychology' GROUP BY building ORDER BY building | [
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,
740,
6,
2847,
17161,
599,
10905,
61,
21680,
503,
6157,
332,
536,
3,
15355,
3162,
1375,
6157,
332,
357,
9191,
332,
5411,
19221,
834,
23,
26,
3274,
332,
4416,
19221,
834,
23,
26,
549,
17444,
427,
332,
5411,
26,
6707,
... |
Show the facility codes of apartments with more than 4 bedrooms. | CREATE TABLE Apartment_Facilities (facility_code VARCHAR, apt_id VARCHAR); CREATE TABLE Apartments (apt_id VARCHAR, bedroom_count INTEGER) | SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
15970,
834,
371,
9,
13067,
3010,
41,
89,
9,
75,
14277,
834,
4978,
584,
4280,
28027,
6,
3,
6789,
834,
23,
26,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
332,
5411,
89,
9,
75,
14277,
834,
4978,
21680,
15970,
834,
371,
9,
13067,
3010,
6157,
332,
536,
3,
15355,
3162,
15970,
7,
6157,
332,
357,
9191,
332,
5411,
6789,
834,
23,
26,
3274,
332,
4416,
6789,
834,
23,
26,
549... |
Which venue had a match played on August 16, 2006? | CREATE TABLE table_name_90 (
venue VARCHAR,
date VARCHAR
) | SELECT venue FROM table_name_90 WHERE date = "august 16, 2006" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
5669,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
5669,
141,
3,
9,
1588,
1944,
30,
1660,
11940,
3581,
58,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
833,
3274,
96,
402,
17198,
11940,
3581,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of first_name and salary in a bar chart. | 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE locations (
LOCAT... | SELECT FIRST_NAME, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | [
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,
30085,
834,
567,
17683,
6,
180,
4090,
24721,
21680,
1652,
549,
17444,
427,
4486,
3396,
19846,
11810,
834,
4309,
3388,
41,
23143,
14196,
3396,
19846,
11810,
834,
4309,
21680,
10521,
549,
17444,
427,
283,
15610,
17966,
834,... |
For Amazon.com's device with a weight of 221g (7.8oz) how many screen pixels does the device have? | CREATE TABLE table_name_66 (
screen_pixels VARCHAR,
maker VARCHAR,
weight VARCHAR
) | SELECT screen_pixels FROM table_name_66 WHERE maker = "amazon.com" AND weight = "221g (7.8oz)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
1641,
834,
14251,
7,
584,
4280,
28027,
6,
13762,
584,
4280,
28027,
6,
1293,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
242,
2536,
5,
287,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1641,
834,
14251,
7,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
13762,
3274,
96,
9,
18983,
106,
5,
287,
121,
3430,
1293,
3274,
96,
357,
2658,
122,
13649,
5,
927,
32,
172,
61,
121,
1,
-100,
-100,
-100,
-100... |
What is the Pick # for the Edmonton Eskimos? | CREATE TABLE table_name_14 (
pick__number VARCHAR,
cfl_team VARCHAR
) | SELECT COUNT(pick__number) FROM table_name_14 WHERE cfl_team = "edmonton eskimos" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2534,
41,
1432,
834,
834,
5525,
1152,
584,
4280,
28027,
6,
3,
75,
89,
40,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
8356,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
17967,
834,
834,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
2534,
549,
17444,
427,
3,
75,
89,
40,
834,
11650,
3274,
96,
15,
26,
4662,
106,
3,
15,
4009,
3972,
121,
1,
-100,
-100,
-100,
-100,
-100... |
How many Caps does the Club/province Munster, position of lock and Mick O'Driscoll have? | CREATE TABLE table_name_16 (
caps VARCHAR,
player VARCHAR,
club_province VARCHAR,
position VARCHAR
) | SELECT COUNT(caps) FROM table_name_16 WHERE club_province = "munster" AND position = "lock" AND player = "mick o'driscoll" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2938,
41,
16753,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
6,
1886,
834,
1409,
2494,
565,
584,
4280,
28027,
6,
1102,
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,
2847,
17161,
599,
4010,
7,
61,
21680,
953,
834,
4350,
834,
2938,
549,
17444,
427,
1886,
834,
1409,
2494,
565,
3274,
96,
51,
202,
1370,
121,
3430,
1102,
3274,
96,
4029,
121,
3430,
1959,
3274,
96,
51,
3142,
3,
32,
3... |
Who was the rider who had less than 30 laps, ended in an accident with a car manufactured by yamaha on a grid larger than 3? | CREATE TABLE table_name_30 (rider VARCHAR, grid VARCHAR, time VARCHAR, laps VARCHAR, manufacturer VARCHAR) | SELECT rider FROM table_name_30 WHERE laps < 30 AND manufacturer = "yamaha" AND time = "accident" AND grid > 3 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1458,
41,
4055,
49,
584,
4280,
28027,
6,
8634,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
6,
14941,
7,
584,
4280,
28027,
6,
4818,
584,
4280,
28027,
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,
2564,
52,
21680,
953,
834,
4350,
834,
1458,
549,
17444,
427,
14941,
7,
3,
2,
604,
3430,
4818,
3274,
96,
22990,
1024,
121,
3430,
97,
3274,
96,
6004,
4215,
121,
3430,
8634,
2490,
220,
1,
-100,
-100,
-100,
-100,
-100,
... |
What time has phil mcgurk as the rider? | CREATE TABLE table_name_34 (
time VARCHAR,
rider VARCHAR
) | SELECT time FROM table_name_34 WHERE rider = "phil mcgurk" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3710,
41,
97,
584,
4280,
28027,
6,
2564,
52,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
97,
65,
3,
18118,
3,
51,
75,
7840,
157,
38,
8,
2564,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
97,
21680,
953,
834,
4350,
834,
3710,
549,
17444,
427,
2564,
52,
3274,
96,
18118,
3,
51,
75,
7840,
157,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What seasons had 288 games and more than 100 goals? | CREATE TABLE table_name_88 (
seasons VARCHAR,
goals VARCHAR,
games VARCHAR
) | SELECT seasons FROM table_name_88 WHERE goals > 100 AND games = 288 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4060,
41,
9385,
584,
4280,
28027,
6,
1766,
584,
4280,
28027,
6,
1031,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
9385,
141,
204,
4060,
1031,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
9385,
21680,
953,
834,
4350,
834,
4060,
549,
17444,
427,
1766,
2490,
910,
3430,
1031,
3274,
204,
4060,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What team does bobby hillin jr. (r) drive a buick regal for? | CREATE TABLE table_58296 (
"Team" text,
"Make" text,
"Driver" text,
"Sponsor" text,
"Car Owner" text
) | SELECT "Team" FROM table_58296 WHERE "Make" = 'buick regal' AND "Driver" = 'bobby hillin jr. (r)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3449,
357,
4314,
41,
96,
18699,
121,
1499,
6,
96,
22638,
121,
1499,
6,
96,
20982,
52,
121,
1499,
6,
96,
134,
5041,
7,
127,
121,
1499,
6,
96,
6936,
13307,
121,
1499,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
18699,
121,
21680,
953,
834,
3449,
357,
4314,
549,
17444,
427,
96,
22638,
121,
3274,
3,
31,
3007,
3142,
3,
24080,
31,
3430,
96,
20982,
52,
121,
3274,
3,
31,
17396,
969,
9956,
77,
3,
354,
52,
5,
41,
52,
61,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.