NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Name the BUSHI that has kaz hayashi of kai (14:01) | CREATE TABLE table_name_50 (bushi VARCHAR, kaz_hayashi VARCHAR) | SELECT bushi FROM table_name_50 WHERE kaz_hayashi = "kai (14:01)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
3007,
5605,
584,
4280,
28027,
6,
3,
1258,
172,
834,
12687,
17155,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
272,
3063,
7094,
24,
65,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
17907,
23,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
3,
1258,
172,
834,
12687,
17155,
3274,
96,
1258,
23,
41,
2534,
10,
4542,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the average year that the medical school in dominican republic was established? | CREATE TABLE table_63244 (
"Country/Territory" text,
"Established" real,
"Degree" text,
"Regional/Offshore" text,
"IMED/Avicenna Listed" text
) | SELECT AVG("Established") FROM table_63244 WHERE "Country/Territory" = 'dominican republic' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3891,
357,
3628,
41,
96,
10628,
651,
87,
382,
21301,
10972,
121,
1499,
6,
96,
14997,
15403,
11904,
121,
490,
6,
96,
2962,
3584,
15,
121,
1499,
6,
96,
17748,
6318,
87,
21265... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
14997,
15403,
11904,
8512,
21680,
953,
834,
3891,
357,
3628,
549,
17444,
427,
96,
10628,
651,
87,
382,
21301,
10972,
121,
3274,
3,
31,
26,
32,
7619,
1608,
20237,
31,
1,
-100,
-100,
-100,
-100,
-... |
Draw a bar chart about the distribution of Sex and the average of Height , and group by attribute Sex, and display in ascending by the Y. | CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate re... | SELECT Sex, AVG(Height) FROM people GROUP BY Sex ORDER BY AVG(Height) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
151,
41,
2449,
834,
4309,
16,
17,
6,
679,
226,
1499,
6,
5570,
1499,
6,
7678,
834,
858,
834,
279,
23,
52,
189,
1499,
6,
24231,
490,
6,
14230,
490,
3,
61,
3,
32102,
32103,
32102,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
679,
226,
6,
71,
17217,
599,
3845,
2632,
61,
21680,
151,
350,
4630,
6880,
272,
476,
679,
226,
4674,
11300,
272,
476,
71,
17217,
599,
3845,
2632,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What Score has an Opponent of nina bratchikova? | CREATE TABLE table_name_58 (score VARCHAR, opponent VARCHAR) | SELECT score FROM table_name_58 WHERE opponent = "nina bratchikova" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
7,
9022,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
17763,
65,
46,
4495,
9977,
13,
3,
29,
77,
9,
3858,
17,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
15264,
3274,
96,
29,
77,
9,
3858,
17,
1436,
9789,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the electoral district when total candidates were 35? | CREATE TABLE table_2676980_4 (
electoral_district VARCHAR,
total_candidates VARCHAR
) | SELECT electoral_district FROM table_2676980_4 WHERE total_candidates = 35 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3708,
3951,
2079,
834,
591,
41,
16289,
834,
26,
23,
20066,
584,
4280,
28027,
6,
792,
834,
1608,
12416,
6203,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
16289,
834,
26,
23,
20066,
21680,
953,
834,
357,
3708,
3951,
2079,
834,
591,
549,
17444,
427,
792,
834,
1608,
12416,
6203,
3274,
3097,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
For each film, return the number of cinemas showing that fim in a bar chart, could you rank by the Title in asc? | CREATE TABLE cinema (
Cinema_ID int,
Name text,
Openning_year int,
Capacity int,
Location text
)
CREATE TABLE film (
Film_ID int,
Rank_in_series int,
Number_in_season int,
Title text,
Directed_by text,
Original_air_date text,
Production_code text
)
CREATE TABLE schedule... | SELECT Title, COUNT(Title) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID JOIN cinema AS T3 ON T1.Cinema_ID = T3.Cinema_ID GROUP BY Title ORDER BY Title | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
10276,
41,
17544,
834,
4309,
16,
17,
6,
5570,
1499,
6,
2384,
29,
53,
834,
1201,
16,
17,
6,
4000,
9,
6726,
16,
17,
6,
10450,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
11029,
6,
2847,
17161,
599,
382,
155,
109,
61,
21680,
2023,
6157,
332,
536,
3,
15355,
3162,
814,
6157,
332,
357,
9191,
332,
5411,
371,
173,
51,
834,
4309,
3274,
332,
4416,
371,
173,
51,
834,
4309,
3,
15355,
3162,
... |
Where does Collingwood play their games? | CREATE TABLE table_55869 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Venue" FROM table_55869 WHERE "Away team" = 'collingwood' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
3449,
3951,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
553,
35,
76,
15,
121,
21680,
953,
834,
755,
3449,
3951,
549,
17444,
427,
96,
188,
1343,
372,
121,
3274,
3,
31,
3297,
697,
2037,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who was the home team when Burnley were the away team? | CREATE TABLE table_17736890_5 (
home_team VARCHAR,
away_team VARCHAR
) | SELECT home_team FROM table_17736890_5 WHERE away_team = "Burnley" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
4552,
3651,
2394,
834,
755,
41,
234,
834,
11650,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
234,
372,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
234,
834,
11650,
21680,
953,
834,
2517,
4552,
3651,
2394,
834,
755,
549,
17444,
427,
550,
834,
11650,
3274,
96,
279,
450,
29,
1306,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
the subject has a recent history ( within 2 years ) of alcohol or substance abuse / dependence. | CREATE TABLE table_train_137 (
"id" int,
"hbv" bool,
"systolic_blood_pressure_sbp" int,
"hemoglobin_a1c_hba1c" float,
"substance_dependence" bool,
"hcv" bool,
"schizophrenia" bool,
"neutrophil_count" int,
"renal_disease" bool,
"creatinine_clearance_cl" float,
"platelet_count"... | SELECT * FROM table_train_137 WHERE alcohol_abuse = 1 OR substance_dependence = 1 OR substance_dependence = 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9719,
834,
24636,
41,
96,
23,
26,
121,
16,
17,
6,
96,
107,
115,
208,
121,
3,
12840,
40,
6,
96,
7,
63,
7,
235,
2176,
834,
27798,
834,
26866,
834,
7,
115,
102,
121,
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,
1429,
21680,
953,
834,
9719,
834,
24636,
549,
17444,
427,
4798,
834,
9,
3465,
15,
3274,
209,
4674,
8096,
834,
18790,
1433,
3274,
209,
4674,
8096,
834,
18790,
1433,
3274,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who are the candidates in Florida 13 district? | CREATE TABLE table_19753079_12 (candidates VARCHAR, district VARCHAR) | SELECT candidates FROM table_19753079_12 WHERE district = "Florida 13" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27181,
26918,
4440,
834,
2122,
41,
1608,
12416,
6203,
584,
4280,
28027,
6,
3939,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
33,
8,
4341,
16,
2599,
1179,
3939,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4341,
21680,
953,
834,
27181,
26918,
4440,
834,
2122,
549,
17444,
427,
3939,
3274,
96,
11251,
4055,
9,
1179,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who was the away team when North Melbourne was the home team? | CREATE TABLE table_name_17 (away_team VARCHAR, home_team VARCHAR) | SELECT away_team FROM table_name_17 WHERE home_team = "north melbourne" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2517,
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,
1117,
9396,
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,
0,
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,
2517,
549,
17444,
427,
234,
834,
11650,
3274,
96,
29,
127,
189,
3,
2341,
26255,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What's the average attendance when the opponents are dundalk? | CREATE TABLE table_name_85 (
attendance INTEGER,
opponents VARCHAR
) | SELECT AVG(attendance) FROM table_name_85 WHERE opponents = "dundalk" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
11364,
3,
21342,
17966,
6,
16383,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
31,
7,
8,
1348,
11364,
116,
8,
16383,
33,
146,
727,
138,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15116,
663,
61,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
16383,
3274,
96,
26,
1106,
138,
157,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who was the home team in the match with an away team of Millwall? | CREATE TABLE table_47392 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
) | SELECT "Home team" FROM table_47392 WHERE "Away team" = 'millwall' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4177,
3288,
357,
41,
96,
382,
23,
15,
150,
121,
1499,
6,
96,
19040,
372,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
308,
342,
121,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
19040,
372,
121,
21680,
953,
834,
4177,
3288,
357,
549,
17444,
427,
96,
188,
1343,
372,
121,
3274,
3,
31,
12415,
10279,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many patients are with hypertension; rule out coronary artery disease\cardiac cath? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
25930,
4844,
159,
3274,
96,
15761,
8742,
17779,
134,
9215,
117,
8503,
3765,
3,
9744,
2847,
13044,
... |
the capacity of a timberline lodge lift is at most how many rides per hour ? | CREATE TABLE table_204_907 (
id number,
"lift name" text,
"type" text,
"top\nelevation\n(ft)" number,
"bottom\nelevation" number,
"vertical\nrise" number,
"length\n(ft)" number,
"slope\n(%)" text,
"capacity\n(rides/hr)" number,
"speed\n(ft/min)" number,
"lift\nmanufacturer" t... | SELECT MAX("capacity\n(rides/hr)") FROM table_204_907 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
2394,
940,
41,
3,
23,
26,
381,
6,
96,
9253,
564,
121,
1499,
6,
96,
6137,
121,
1499,
6,
96,
2916,
2,
29,
15,
10912,
257,
2,
29,
599,
89,
17,
61,
121,
381,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
4010,
9,
6726,
2,
29,
599,
52,
9361,
87,
107,
52,
61,
8512,
21680,
953,
834,
26363,
834,
2394,
940,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How many other goals did Dunne have in the season where he had 1 league goal? | CREATE TABLE table_31358 (
"Season" text,
"Division" text,
"League Apps" real,
"League Goals" real,
"FA Cup Apps" real,
"FA Cup Goals" real,
"Other Apps" real,
"Other Goals" real,
"Total Apps" real,
"Total Goals" real
) | SELECT "Other Goals" FROM table_31358 WHERE "League Goals" = '1' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
2368,
3449,
41,
96,
134,
15,
9,
739,
121,
1499,
6,
96,
308,
23,
6610,
121,
1499,
6,
96,
2796,
9,
5398,
2276,
7,
121,
490,
6,
96,
2796,
9,
5398,
17916,
7,
121,
49... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
189,
49,
17916,
7,
121,
21680,
953,
834,
519,
2368,
3449,
549,
17444,
427,
96,
2796,
9,
5398,
17916,
7,
121,
3274,
3,
31,
536,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
japan earned only 1 bronze metal in boxing during the 1960 olympics . how many other countries earned the exact same metal count as japan ? | CREATE TABLE table_203_496 (
id number,
"pos" number,
"country" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
) | SELECT COUNT("country") FROM table_203_496 WHERE "country" <> 'japan' AND "bronze" = 1 AND "total" = 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
591,
4314,
41,
3,
23,
26,
381,
6,
96,
2748,
121,
381,
6,
96,
17529,
121,
1499,
6,
96,
14910,
121,
381,
6,
96,
7,
173,
624,
121,
381,
6,
96,
13711,
776,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
17529,
8512,
21680,
953,
834,
23330,
834,
591,
4314,
549,
17444,
427,
96,
17529,
121,
3,
2,
3155,
3,
31,
1191,
2837,
31,
3430,
96,
13711,
776,
121,
3274,
209,
3430,
96,
235,
1947,
121,
3274,
... |
Name the Winning constructor on 31 may and a Circuit of madonie? | CREATE TABLE table_name_96 (winning_constructor VARCHAR, date VARCHAR, circuit VARCHAR) | SELECT winning_constructor FROM table_name_96 WHERE date = "31 may" AND circuit = "madonie" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
8163,
834,
15982,
5317,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
6,
4558,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
549,
10503,
67... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3447,
834,
15982,
5317,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
833,
3274,
96,
3341,
164,
121,
3430,
4558,
3274,
96,
11374,
106,
23,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what are all the overall with viewers (m) being 2.61 | CREATE TABLE table_13110459_2 (overall VARCHAR, viewers__m_ VARCHAR) | SELECT overall FROM table_13110459_2 WHERE viewers__m_ = "2.61" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22048,
15442,
3390,
834,
357,
41,
1890,
1748,
584,
4280,
28027,
6,
13569,
834,
834,
51,
834,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
33,
66,
8,
1879,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1879,
21680,
953,
834,
22048,
15442,
3390,
834,
357,
549,
17444,
427,
13569,
834,
834,
51,
834,
3274,
96,
22724,
536,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Find Nationality and the average of meter_100 , and group by attribute Nationality, and visualize them by a bar chart, and display in descending by the Y-axis. | CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text... | SELECT Nationality, AVG(meter_100) FROM swimmer GROUP BY Nationality ORDER BY AVG(meter_100) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
605,
41,
4699,
16,
17,
6,
5570,
1499,
6,
12750,
834,
4309,
16,
17,
6,
2929,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
14939,
41,
4699,
16,
17,
6,
564,
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,
868,
485,
6,
71,
17217,
599,
4401,
834,
2915,
61,
21680,
27424,
350,
4630,
6880,
272,
476,
868,
485,
4674,
11300,
272,
476,
71,
17217,
599,
4401,
834,
2915,
61,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what is the difference in years between his last role and his first role ? | CREATE TABLE table_204_707 (
id number,
"year" number,
"english title" text,
"chinese title" text,
"director" text,
"role" text
) | SELECT MAX("year") - MIN("year") FROM table_204_707 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
2518,
940,
41,
3,
23,
26,
381,
6,
96,
1201,
121,
381,
6,
96,
4606,
40,
1273,
2233,
121,
1499,
6,
96,
1436,
1496,
15,
2233,
121,
1499,
6,
96,
25982,
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,
4800,
4,
599,
121,
1201,
8512,
3,
18,
3,
17684,
599,
121,
1201,
8512,
21680,
953,
834,
26363,
834,
2518,
940,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the score on April 8? | CREATE TABLE table_name_39 (
score VARCHAR,
date VARCHAR
) | SELECT score FROM table_name_39 WHERE date = "april 8" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
2604,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2604,
30,
1186,
505,
58,
1,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
833,
3274,
96,
9,
2246,
40,
505,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the geo code of the township with ANSI code 1759243? | CREATE TABLE table_18600760_9 (geo_id VARCHAR, ansi_code VARCHAR) | SELECT geo_id FROM table_18600760_9 WHERE ansi_code = 1759243 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24700,
4560,
3328,
834,
1298,
41,
397,
32,
834,
23,
26,
584,
4280,
28027,
6,
46,
7,
23,
834,
4978,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
9502,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9502,
834,
23,
26,
21680,
953,
834,
24700,
4560,
3328,
834,
1298,
549,
17444,
427,
46,
7,
23,
834,
4978,
3274,
1003,
3390,
27730,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what patient 035-4312's age is on this hospital encounter? | CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CRE... | SELECT patient.age FROM patient WHERE patient.uniquepid = '035-4312' AND patient.hospitaldischargetime IS NULL | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
583,
41,
583,
23,
26,
381,
6,
775,
12417,
1499,
6,
1868,
15878,
3734,
21545,
23,
26,
381,
6,
605,
6137,
1499,
6,
605,
23,
26,
381,
6,
1567,
715,
97,
6,
583,
381,
3,
61,
3,
3210... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1868,
5,
545,
21680,
1868,
549,
17444,
427,
1868,
5,
202,
1495,
12417,
3274,
3,
31,
632,
2469,
18,
4906,
2122,
31,
3430,
1868,
5,
31386,
26,
159,
7993,
715,
6827,
13046,
10376,
1,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the most points when the won is 9? | CREATE TABLE table_13018116_1 (
pts_for INTEGER,
won VARCHAR
) | SELECT MAX(pts_for) FROM table_13018116_1 WHERE won = 9 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
21448,
2606,
20159,
834,
536,
41,
3,
102,
17,
7,
834,
1161,
3,
21342,
17966,
6,
751,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
167,
979,
116,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
102,
17,
7,
834,
1161,
61,
21680,
953,
834,
21448,
2606,
20159,
834,
536,
549,
17444,
427,
751,
3274,
668,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Show me about the distribution of Sex and the sum of Height , and group by attribute Sex in a bar chart, show sum height in descending order. | CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate re... | SELECT Sex, SUM(Height) FROM people GROUP BY Sex ORDER BY SUM(Height) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
151,
41,
2449,
834,
4309,
16,
17,
6,
679,
226,
1499,
6,
5570,
1499,
6,
7678,
834,
858,
834,
279,
23,
52,
189,
1499,
6,
24231,
490,
6,
14230,
490,
3,
61,
3,
32102,
32103,
32102,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
679,
226,
6,
180,
6122,
599,
3845,
2632,
61,
21680,
151,
350,
4630,
6880,
272,
476,
679,
226,
4674,
11300,
272,
476,
180,
6122,
599,
3845,
2632,
61,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the first name and last name employee helps the customer with first name Leonie? | CREATE TABLE EMPLOYEE (
FirstName VARCHAR,
LastName VARCHAR,
EmployeeId VARCHAR
)
CREATE TABLE CUSTOMER (
SupportRepId VARCHAR,
FirstName VARCHAR
) | SELECT T2.FirstName, T2.LastName FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId WHERE T1.FirstName = "Leonie" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
262,
5244,
5017,
476,
5080,
41,
1485,
23954,
584,
4280,
28027,
6,
2506,
23954,
584,
4280,
28027,
6,
15871,
196,
26,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
33... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
25171,
23954,
6,
332,
4416,
3612,
7,
17,
23954,
21680,
205,
16847,
667,
13098,
6157,
332,
536,
3,
15355,
3162,
262,
5244,
5017,
476,
5080,
6157,
332,
357,
9191,
332,
5411,
134,
413,
1493,
1649,
102,
196,
... |
How many papers does Andrew King have ? | CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numc... | SELECT DISTINCT COUNT(DISTINCT writes.paperid) FROM author, writes WHERE author.authorname = 'Andrew King' AND writes.authorid = author.authorid | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1040,
6757,
2244,
41,
1040,
23,
26,
16,
17,
6,
17953,
23,
26,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
17953,
41,
17953,
23,
26,
16,
17,
6,
17953,
4350,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
2847,
17161,
599,
15438,
25424,
6227,
11858,
5,
19587,
23,
26,
61,
21680,
2291,
6,
11858,
549,
17444,
427,
2291,
5,
17415,
4350,
3274,
3,
31,
7175,
60,
210,
2671,
31,
3430,
11858,
5,
17415,
23... |
What was the number of others votes in Columbia county? | CREATE TABLE table_20693870_1 (
others_number INTEGER,
county VARCHAR
) | SELECT MIN(others_number) FROM table_20693870_1 WHERE county = "Columbia" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1755,
3951,
3747,
2518,
834,
536,
41,
717,
834,
5525,
1152,
3,
21342,
17966,
6,
5435,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
381,
13,
717,
1183... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
9269,
7,
834,
5525,
1152,
61,
21680,
953,
834,
1755,
3951,
3747,
2518,
834,
536,
549,
17444,
427,
5435,
3274,
96,
9939,
5937,
23,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Show all allergy types. | CREATE TABLE Allergy_type (allergytype VARCHAR) | SELECT DISTINCT allergytype FROM Allergy_type | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
432,
49,
122,
63,
834,
6137,
41,
11211,
122,
63,
6137,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
3111,
66,
23886,
1308,
5,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
23886,
6137,
21680,
432,
49,
122,
63,
834,
6137,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the D 43 √ with a D 49 √ with d 49 √? | CREATE TABLE table_name_64 (d_43_√ VARCHAR, d_49_√ VARCHAR) | SELECT d_43_√ FROM table_name_64 WHERE d_49_√ = "d 49 √" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
26,
834,
4906,
834,
2,
584,
4280,
28027,
6,
3,
26,
834,
3647,
834,
2,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
309,
8838,
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,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
26,
834,
4906,
834,
2,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
3,
26,
834,
3647,
834,
2,
3274,
96,
26,
9526,
3,
2,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is Opponent in Final, when Surface is 'Hard', and when Date is '13 January 1992'? | CREATE TABLE table_name_31 (
opponent_in_final VARCHAR,
surface VARCHAR,
date VARCHAR
) | SELECT opponent_in_final FROM table_name_31 WHERE surface = "hard" AND date = "13 january 1992" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
15264,
834,
77,
834,
12406,
584,
4280,
28027,
6,
1774,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
4495,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
15264,
834,
77,
834,
12406,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
1774,
3274,
96,
5651,
121,
3430,
833,
3274,
96,
2368,
3,
7066,
76,
1208,
9047,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Week 1 Sept 2 has a Week 3 Sept 14 of south florida (3-0)? | CREATE TABLE table_name_72 (
week_1_sept_2 VARCHAR,
week_3_sept_14 VARCHAR
) | SELECT week_1_sept_2 FROM table_name_72 WHERE week_3_sept_14 = "south florida (3-0)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
471,
834,
536,
834,
7,
6707,
834,
357,
584,
4280,
28027,
6,
471,
834,
519,
834,
7,
6707,
834,
2534,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
471,
834,
536,
834,
7,
6707,
834,
357,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
471,
834,
519,
834,
7,
6707,
834,
2534,
3274,
96,
7,
670,
107,
12215,
26,
9,
41,
22773,
61,
121,
1,
-100,
-100,
-100,
-10... |
Which Mountains classification has a General classification of egoi mart nez, and a Stage of 9? | CREATE TABLE table_name_42 (
mountains_classification VARCHAR,
general_classification VARCHAR,
stage VARCHAR
) | SELECT mountains_classification FROM table_name_42 WHERE general_classification = "egoi martínez" AND stage = "9" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4165,
41,
8022,
834,
4057,
2420,
584,
4280,
28027,
6,
879,
834,
4057,
2420,
584,
4280,
28027,
6,
1726,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
8022,
834,
4057,
2420,
21680,
953,
834,
4350,
834,
4165,
549,
17444,
427,
879,
834,
4057,
2420,
3274,
96,
6066,
23,
3157,
17,
2,
9645,
121,
3430,
1726,
3274,
96,
1298,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many yards have a Player of james macpherson, and a Long smaller than 1? | CREATE TABLE table_name_6 (yards VARCHAR, player VARCHAR, long VARCHAR) | SELECT COUNT(yards) FROM table_name_6 WHERE player = "james macpherson" AND long < 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
948,
41,
6636,
7,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
6,
307,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
6460,
43,
3,
9,
12387,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
6636,
7,
61,
21680,
953,
834,
4350,
834,
948,
549,
17444,
427,
1959,
3274,
96,
1191,
2687,
11486,
102,
760,
739,
121,
3430,
307,
3,
2,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the total number of played when the goals for is more than 34 and goals against is more than 63? | CREATE TABLE table_name_24 (
played VARCHAR,
goals_for VARCHAR,
goals_against VARCHAR
) | SELECT COUNT(played) FROM table_name_24 WHERE goals_for > 34 AND goals_against > 63 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
1944,
584,
4280,
28027,
6,
1766,
834,
1161,
584,
4280,
28027,
6,
1766,
834,
9,
16720,
7,
17,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
4895,
15,
26,
61,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
1766,
834,
1161,
2490,
6154,
3430,
1766,
834,
9,
16720,
7,
17,
2490,
3,
3891,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What was the 2nd leg score for Chemie Halle? | CREATE TABLE table_name_73 (team__number1 VARCHAR) | SELECT 2 AS nd_leg FROM table_name_73 WHERE team__number1 = "chemie halle" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
11650,
834,
834,
5525,
1152,
536,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
204,
727,
4553,
2604,
21,
2556,
2720,
2501,
15,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
204,
6157,
3,
727,
834,
5772,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
372,
834,
834,
5525,
1152,
536,
3274,
96,
1033,
2720,
3,
18369,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which Record has Points larger than 0, and a Score of 7 3? | CREATE TABLE table_39285 (
"Game" real,
"October" real,
"Opponent" text,
"Score" text,
"Record" text,
"Points" real
) | SELECT "Record" FROM table_39285 WHERE "Points" > '0' AND "Score" = '7–3' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3288,
357,
4433,
41,
96,
23055,
121,
490,
6,
96,
28680,
121,
490,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
1649,
7621,
121,
1499,
6,
96,
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,
96,
1649,
7621,
121,
21680,
953,
834,
3288,
357,
4433,
549,
17444,
427,
96,
22512,
7,
121,
2490,
3,
31,
632,
31,
3430,
96,
134,
9022,
121,
3274,
3,
31,
940,
104,
519,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How many people are in the crowd in south melbourne? | CREATE TABLE table_name_66 (crowd VARCHAR, home_team VARCHAR) | SELECT COUNT(crowd) FROM table_name_66 WHERE home_team = "south melbourne" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
75,
3623,
26,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
151,
33,
16,
8,
4374,
16,
3414,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
75,
3623,
26,
61,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
234,
834,
11650,
3274,
96,
7,
670,
107,
3,
2341,
26255,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which year has a railway class of 250? | CREATE TABLE table_name_19 (year VARCHAR, class VARCHAR) | SELECT year FROM table_name_19 WHERE class = "250" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
1201,
584,
4280,
28027,
6,
853,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
215,
65,
3,
9,
14421,
853,
13,
5986,
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,
215,
21680,
953,
834,
4350,
834,
2294,
549,
17444,
427,
853,
3274,
96,
11434,
121,
1,
-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 artist that issued the single on 19 January? | CREATE TABLE table_9847 (
"Volume:Issue" text,
"Issue Date(s)" text,
"Weeks on Top" text,
"Song" text,
"Artist" text
) | SELECT "Artist" FROM table_9847 WHERE "Issue Date(s)" = '19 january' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3916,
4177,
41,
96,
22803,
440,
15,
10,
196,
7,
7,
76,
15,
121,
1499,
6,
96,
196,
7,
7,
76,
15,
7678,
599,
7,
61,
121,
1499,
6,
96,
1326,
16789,
30,
2224,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
7754,
343,
121,
21680,
953,
834,
3916,
4177,
549,
17444,
427,
96,
196,
7,
7,
76,
15,
7678,
599,
7,
61,
121,
3274,
3,
31,
2294,
3,
7066,
76,
1208,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
count the number of patients admitted before 2200 who had endoscopic removal of stone(s) from biliary tract. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2200" AND procedures.long_title = "Endoscopic removal of stone(s) from biliary tract" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
4293,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
What position went lower than 106 from the College of Virginia? | CREATE TABLE table_70045 (
"Round" real,
"Pick #" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
) | SELECT "Position" FROM table_70045 WHERE "Overall" < '106' AND "College" = 'virginia' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9295,
2128,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
345,
3142,
1713,
121,
490,
6,
96,
23847,
1748,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
345,
32,
7,
4749,
121,
21680,
953,
834,
9295,
2128,
549,
17444,
427,
96,
23847,
1748,
121,
3,
2,
3,
31,
16431,
31,
3430,
96,
9939,
7883,
121,
3274,
3,
31,
5771,
122,
77,
23,
9,
31,
1,
-100,
-100,
-100,
-10... |
Name the averag scored for 2011 long teng cup and 2 october 2011 | CREATE TABLE table_name_64 (
scored INTEGER,
competition VARCHAR,
date VARCHAR
) | SELECT AVG(scored) FROM table_name_64 WHERE competition = "2011 long teng cup" AND date = "2 october 2011" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
5799,
3,
21342,
17966,
6,
2259,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
3,
9,
162,
6151,
5799,
21,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
3523,
1271,
61,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
2259,
3274,
96,
13907,
307,
3,
324,
122,
4119,
121,
3430,
833,
3274,
96,
357,
3,
32,
75,
235,
1152,
2722,
121,
1,
-100,
-100,
-100... |
Which Draws has a Wins of 10, and a Peel of south mandurah, and a Byes larger than 0? | CREATE TABLE table_name_28 (
draws INTEGER,
byes VARCHAR,
wins VARCHAR,
peel VARCHAR
) | SELECT AVG(draws) FROM table_name_28 WHERE wins = 10 AND peel = "south mandurah" AND byes > 0 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
14924,
3,
21342,
17966,
6,
57,
15,
7,
584,
4280,
28027,
6,
9204,
584,
4280,
28027,
6,
14517,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
40... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
19489,
7,
61,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
9204,
3274,
335,
3430,
14517,
3274,
96,
7,
670,
107,
388,
26,
2414,
107,
121,
3430,
57,
15,
7,
2490,
3,
632,
1,
-100,
-100,
-100,
... |
How many sets of presenters are there for the version of the show named Celebrity Masterchef? | CREATE TABLE table_28190363_1 (
presenter_s_ VARCHAR,
name VARCHAR
) | SELECT COUNT(presenter_s_) FROM table_28190363_1 WHERE name = "Celebrity MasterChef" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
11776,
3420,
519,
834,
536,
41,
915,
49,
834,
7,
834,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
3369,
13,
915,
277,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
12640,
49,
834,
7,
834,
61,
21680,
953,
834,
2577,
11776,
3420,
519,
834,
536,
549,
17444,
427,
564,
3274,
96,
254,
400,
2160,
17,
63,
3226,
29639,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
provide the number of patients whose ethnicity is american indian/alaska native and drug code is benz1i? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND prescriptions.formulary_drug_cd = "BENZ1I" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
18730,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
Which County has an IHSAA Class of aaaa, and a Mascot of cardinals? | CREATE TABLE table_64064 (
"School" text,
"City" text,
"Mascot" text,
"Enrollment" real,
"IHSAA Class" text,
"County" text
) | SELECT "County" FROM table_64064 WHERE "IHSAA Class" = 'aaaa' AND "Mascot" = 'cardinals' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23714,
4389,
41,
96,
29364,
121,
1499,
6,
96,
254,
485,
121,
1499,
6,
96,
329,
9,
7,
4310,
121,
1499,
6,
96,
8532,
4046,
297,
121,
490,
6,
96,
196,
4950,
5498,
4501,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
10628,
63,
121,
21680,
953,
834,
23714,
4389,
549,
17444,
427,
96,
196,
4950,
5498,
4501,
121,
3274,
3,
31,
9,
9,
9,
9,
31,
3430,
96,
329,
9,
7,
4310,
121,
3274,
3,
31,
6043,
10270,
7,
31,
1,
-100,
-100,
... |
Tell me the call sign for frequency of 0 97.3 fm | CREATE TABLE table_name_67 (
call_sign VARCHAR,
frequency VARCHAR
) | SELECT call_sign FROM table_name_67 WHERE frequency = "0 97.3 fm" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3708,
41,
580,
834,
6732,
584,
4280,
28027,
6,
7321,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
580,
1320,
21,
7321,
13,
3,
632,
668,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
580,
834,
6732,
21680,
953,
834,
4350,
834,
3708,
549,
17444,
427,
7321,
3274,
96,
632,
668,
27914,
3,
89,
51,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What time was the game played that had a record of 0 2 0? | CREATE TABLE table_name_56 (
time___et__ VARCHAR,
record VARCHAR
) | SELECT time___et__ FROM table_name_56 WHERE record = "0–2–0" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4834,
41,
97,
834,
834,
834,
15,
17,
834,
834,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
97,
47,
8,
467,
1944,
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,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
97,
834,
834,
834,
15,
17,
834,
834,
21680,
953,
834,
4350,
834,
4834,
549,
17444,
427,
1368,
3274,
96,
632,
104,
357,
104,
632,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many regions were affected by each storm Visualize by bar chart, and rank from high to low by the y-axis. | CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
)
CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Nu... | SELECT Name, COUNT(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.Storm_ID = T2.Storm_ID GROUP BY T1.Storm_ID ORDER BY COUNT(*) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4161,
834,
18145,
41,
6163,
834,
23,
26,
16,
17,
6,
16133,
834,
4309,
16,
17,
6,
7720,
834,
6726,
834,
9,
27488,
490,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
17... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
5570,
6,
2847,
17161,
599,
1935,
61,
21680,
5536,
6157,
332,
536,
3,
15355,
3162,
4161,
834,
18145,
6157,
332,
357,
9191,
332,
5411,
134,
17,
127,
51,
834,
4309,
3274,
332,
4416,
134,
17,
127,
51,
834,
4309,
350,
... |
Name the lowest reported isn for russia | CREATE TABLE table_name_28 (reported_isn INTEGER, citizenship VARCHAR) | SELECT MIN(reported_isn) FROM table_name_28 WHERE citizenship = "russia" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
60,
16262,
834,
159,
29,
3,
21342,
17966,
6,
22214,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
7402,
2196,
19,
29,
21,
3,
26165,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
17684,
599,
60,
16262,
834,
159,
29,
61,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
22214,
3274,
96,
26165,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many ranks are for Switzerland with more than 2 total medals? | CREATE TABLE table_name_39 (rank VARCHAR, nation VARCHAR, total VARCHAR) | SELECT COUNT(rank) FROM table_name_39 WHERE nation = "switzerland" AND total > 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
6254,
584,
4280,
28027,
6,
2982,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
13799,
33,
21,
12527,
28,
72,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
6254,
61,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
2982,
3274,
96,
7,
15686,
15,
7721,
121,
3430,
792,
2490,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the T4 Place Player with a Score of 71-74-66=211? | CREATE TABLE table_name_57 (player VARCHAR, place VARCHAR, score VARCHAR) | SELECT player FROM table_name_57 WHERE place = "t4" AND score = 71 - 74 - 66 = 211 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
20846,
584,
4280,
28027,
6,
286,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
332,
591,
3399,
12387,
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,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
286,
3274,
96,
17,
20364,
3430,
2604,
3274,
3,
4450,
3,
18,
3,
4581,
3,
18,
3,
3539,
3274,
3,
27278,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
how many stages were at least 200 km in length in the 1995 tour de france ? | CREATE TABLE table_203_475 (
id number,
"stage" number,
"date" text,
"route" text,
"terrain" text,
"length" text,
"winner" text
) | SELECT COUNT("stage") FROM table_203_475 WHERE "length" >= 200 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
591,
3072,
41,
3,
23,
26,
381,
6,
96,
10705,
121,
381,
6,
96,
5522,
121,
1499,
6,
96,
20300,
121,
1499,
6,
96,
12829,
77,
121,
1499,
6,
96,
19457,
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,
2847,
17161,
599,
121,
10705,
8512,
21680,
953,
834,
23330,
834,
591,
3072,
549,
17444,
427,
96,
19457,
121,
2490,
2423,
2382,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the lowest week that has September 19, 1965 as the date, with an attendance less than 46,941? | CREATE TABLE table_name_70 (
week INTEGER,
date VARCHAR,
attendance VARCHAR
) | SELECT MIN(week) FROM table_name_70 WHERE date = "september 19, 1965" AND attendance < 46 OFFSET 941 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
471,
3,
21342,
17966,
6,
833,
584,
4280,
28027,
6,
11364,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7402,
471,
24,
65,
1600,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
17684,
599,
8041,
61,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
833,
3274,
96,
7,
6707,
18247,
12370,
19201,
121,
3430,
11364,
3,
2,
9668,
3,
15316,
20788,
668,
4853,
1,
-100,
-100,
-100,
-100,
-100,
-10... |
Who had the high assists against San Antonio? | CREATE TABLE table_name_58 (
high_assists VARCHAR,
team VARCHAR
) | SELECT high_assists FROM table_name_58 WHERE team = "san antonio" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
306,
834,
6500,
7,
17,
7,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
141,
8,
306,
13041,
581,
1051,
12923,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
306,
834,
6500,
7,
17,
7,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
372,
3274,
96,
7,
152,
3,
9,
6992,
23,
32,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Record has a Score of 2 4, and a Home of quebec nordiques? | CREATE TABLE table_name_23 (
record VARCHAR,
score VARCHAR,
home VARCHAR
) | SELECT record FROM table_name_23 WHERE score = "2–4" AND home = "quebec nordiques" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2773,
41,
1368,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
6,
234,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
11392,
65,
3,
9,
17763,
13,
20... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1368,
21680,
953,
834,
4350,
834,
2773,
549,
17444,
427,
2604,
3274,
96,
357,
104,
20364,
3430,
234,
3274,
96,
835,
346,
75,
9532,
5125,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Can you tell me the total number of Roll that has the Area of aranga? | CREATE TABLE table_name_95 (roll VARCHAR, area VARCHAR) | SELECT COUNT(roll) FROM table_name_95 WHERE area = "aranga" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3301,
41,
4046,
584,
4280,
28027,
6,
616,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
1072,
25,
817,
140,
8,
792,
381,
13,
6070,
24,
65,
8,
5690,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
4046,
61,
21680,
953,
834,
4350,
834,
3301,
549,
17444,
427,
616,
3274,
96,
9,
6287,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When renault is the constructor, the grid is over 6, and the time was labeled ignition, what's the largest amount of laps on record? | CREATE TABLE table_name_63 (
laps INTEGER,
time_retired VARCHAR,
grid VARCHAR,
constructor VARCHAR
) | SELECT MAX(laps) FROM table_name_63 WHERE grid > 6 AND constructor = "renault" AND time_retired = "ignition" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3891,
41,
14941,
7,
3,
21342,
17966,
6,
97,
834,
10682,
1271,
584,
4280,
28027,
6,
8634,
584,
4280,
28027,
6,
6774,
127,
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,
4800,
4,
599,
8478,
7,
61,
21680,
953,
834,
4350,
834,
3891,
549,
17444,
427,
8634,
2490,
431,
3430,
6774,
127,
3274,
96,
1536,
10335,
121,
3430,
97,
834,
10682,
1271,
3274,
96,
3191,
4749,
121,
1,
-100,
-100,
-100,... |
Who was the Rookie of the Year for the Season in 2000? | CREATE TABLE table_15558 (
"Season" real,
"Teams" real,
"Champion" text,
"Season MVP" text,
"Top Draft Pick" text,
"Rookie of the Year" text,
"All-Star Game" text
) | SELECT "Rookie of the Year" FROM table_15558 WHERE "Season" = '2000' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20896,
3449,
41,
96,
134,
15,
9,
739,
121,
490,
6,
96,
18699,
7,
121,
490,
6,
96,
254,
1483,
12364,
121,
1499,
6,
96,
134,
15,
9,
739,
27203,
121,
1499,
6,
96,
22481,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
21132,
13,
8,
2929,
121,
21680,
953,
834,
20896,
3449,
549,
17444,
427,
96,
134,
15,
9,
739,
121,
3274,
3,
31,
13527,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What date was the game with a score of w 116 93 (ot)? | CREATE TABLE table_27715173_6 (
date VARCHAR,
score VARCHAR
) | SELECT date FROM table_27715173_6 WHERE score = "W 116–93 (OT)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
4013,
26578,
4552,
834,
948,
41,
833,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
833,
47,
8,
467,
28,
3,
9,
2604,
13,
3,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
357,
4013,
26578,
4552,
834,
948,
549,
17444,
427,
2604,
3274,
96,
518,
3,
20159,
104,
4271,
41,
6951,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many different players did the most high assists on the March 4 game? | CREATE TABLE table_73528 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT COUNT("High assists") FROM table_73528 WHERE "Date" = 'March 4' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
2469,
2577,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96,
21417,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
21417,
13041,
8512,
21680,
953,
834,
940,
2469,
2577,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
25019,
314,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the date of the label Dos or Die Recordings? | CREATE TABLE table_41360 (
"Region" text,
"Date" text,
"Label" text,
"Format" text,
"Catalog" text
) | SELECT "Date" FROM table_41360 WHERE "Label" = 'dos or die recordings' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4853,
19208,
41,
96,
17748,
23,
106,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
434,
10333,
121,
1499,
6,
96,
3809,
3357,
121,
1499,
6,
96,
18610,
9,
2152,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
342,
121,
21680,
953,
834,
4853,
19208,
549,
17444,
427,
96,
434,
10333,
121,
3274,
3,
31,
26,
32,
7,
42,
67,
18338,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the year when the champion team members are mikee de vega, jari monteagudo, crissy aquino? | CREATE TABLE table_66531 (
"Year" real,
"Champion" text,
"Grand Finalist" text,
"Champion Team Members" text,
"Grand Finalists" text
) | SELECT "Year" FROM table_66531 WHERE "Champion Team Members" = 'mikee de vega, jari monteagudo, crissy aquino' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3539,
755,
3341,
41,
96,
476,
2741,
121,
490,
6,
96,
254,
1483,
12364,
121,
1499,
6,
96,
4744,
727,
6514,
343,
121,
1499,
6,
96,
254,
1483,
12364,
2271,
9537,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
476,
2741,
121,
21680,
953,
834,
3539,
755,
3341,
549,
17444,
427,
96,
254,
1483,
12364,
2271,
9537,
121,
3274,
3,
31,
20068,
15,
15,
20,
3,
162,
122,
9,
6,
3,
5670,
23,
6278,
15,
9,
1744,
26,
32,
6,
3,
... |
What is the highest In service for a vessel with a listed Unit of 12th minesweeper squadron? | CREATE TABLE table_65335 (
"Vessel" text,
"Origin" text,
"Type" text,
"In service" real,
"Unit" text
) | SELECT MAX("In service") FROM table_65335 WHERE "Unit" = '12th minesweeper squadron' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4122,
519,
2469,
41,
96,
553,
19132,
121,
1499,
6,
96,
667,
3380,
77,
121,
1499,
6,
96,
25160,
121,
1499,
6,
96,
1570,
313,
121,
490,
6,
96,
5110,
155,
121,
1499,
3,
61... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
1570,
313,
8512,
21680,
953,
834,
4122,
519,
2469,
549,
17444,
427,
96,
5110,
155,
121,
3274,
3,
31,
2122,
189,
2000,
7,
1123,
15,
883,
12025,
52,
106,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the ICAO when the IATA shows mfm? | CREATE TABLE table_name_2 (
icao VARCHAR,
iata VARCHAR
) | SELECT icao FROM table_name_2 WHERE iata = "mfm" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
3,
2617,
32,
584,
4280,
28027,
6,
3,
17221,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3,
15038,
667,
116,
8,
27,
19282,
1267... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
2617,
32,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
3,
17221,
3274,
96,
51,
89,
51,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is the date of vacancy when the position in table is 16th and the outgoing manager is russell slade? | CREATE TABLE table_name_25 (date_of_vacancy VARCHAR, position_in_table VARCHAR, outgoing_manager VARCHAR) | SELECT date_of_vacancy FROM table_name_25 WHERE position_in_table = "16th" AND outgoing_manager = "russell slade" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1828,
41,
5522,
834,
858,
834,
29685,
584,
4280,
28027,
6,
1102,
834,
77,
834,
3869,
584,
4280,
28027,
6,
91,
9545,
834,
24185,
584,
4280,
28027,
61,
3,
32102,
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,
833,
834,
858,
834,
29685,
21680,
953,
834,
4350,
834,
1828,
549,
17444,
427,
1102,
834,
77,
834,
3869,
3274,
96,
2938,
189,
121,
3430,
91,
9545,
834,
24185,
3274,
96,
4502,
12019,
3,
7,
14712,
121,
1,
-100,
-100,
... |
What number of Points are shown for Team Paulistano where the Drawn is less than 2 and the Against is less than 15? | CREATE TABLE table_name_95 (
points VARCHAR,
against VARCHAR,
drawn VARCHAR,
team VARCHAR
) | SELECT COUNT(points) FROM table_name_95 WHERE drawn < 2 AND team = "paulistano" AND against < 15 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3301,
41,
979,
584,
4280,
28027,
6,
581,
584,
4280,
28027,
6,
6796,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
381,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
3301,
549,
17444,
427,
6796,
3,
2,
204,
3430,
372,
3274,
96,
102,
402,
3350,
152,
32,
121,
3430,
581,
3,
2,
627,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
list the name, job title of all people ordered by their names. | CREATE TABLE person (
name text,
age number,
city text,
gender text,
job text
)
CREATE TABLE personfriend (
name text,
friend text,
year number
) | SELECT name, job FROM person ORDER BY name | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
568,
41,
564,
1499,
6,
1246,
381,
6,
690,
1499,
6,
7285,
1499,
6,
613,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
568,
15504,
41,
564,
1499,
6,
1565,
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,
564,
6,
613,
21680,
568,
4674,
11300,
272,
476,
564,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Find the number of rooms with king bed for each decor type, I want to order the total number 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 decor, COUNT(*) FROM Rooms WHERE bedType = "King" GROUP BY decor ORDER BY COUNT(*) | [
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,
4469,
6,
2847,
17161,
599,
1935,
61,
21680,
4181,
7,
549,
17444,
427,
1953,
25160,
3274,
96,
439,
53,
121,
350,
4630,
6880,
272,
476,
4469,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
1,
-100,
-100,
-100,
-10... |
What was the resolution for the match that ended by Submission (armbar)? | CREATE TABLE table_39988 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Round" text,
"Time" text,
"Location" text
) | SELECT "Res." FROM table_39988 WHERE "Method" = 'submission (armbar)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
3264,
4060,
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,
448,
32,
1106,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7,
535,
21680,
953,
834,
519,
3264,
4060,
549,
17444,
427,
96,
23351,
107,
32,
26,
121,
3274,
3,
31,
7304,
5451,
41,
6768,
1047,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what is the format when the frequency is fm 94.5? | CREATE TABLE table_name_58 (format VARCHAR, frequency VARCHAR) | SELECT format FROM table_name_58 WHERE frequency = "fm 94.5" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
8995,
584,
4280,
28027,
6,
7321,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
1910,
116,
8,
7321,
19,
3,
89,
51,
668,
12451,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1910,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
7321,
3274,
96,
89,
51,
668,
12451,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What year was the first election when Fritz G. Lanham was elected? | CREATE TABLE table_1342331_43 (first_elected INTEGER, incumbent VARCHAR) | SELECT MAX(first_elected) FROM table_1342331_43 WHERE incumbent = "Fritz G. Lanham" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
2773,
3341,
834,
4906,
41,
14672,
834,
19971,
3,
21342,
17966,
6,
28406,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
215,
47,
8,
166,
4356,
116,
28748,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
14672,
834,
19971,
61,
21680,
953,
834,
23747,
2773,
3341,
834,
4906,
549,
17444,
427,
28406,
3274,
96,
371,
52,
5615,
350,
5,
9144,
1483,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Return the number of venues of each workshop in a bar chart, could you rank by the total number in asc? | CREATE TABLE workshop (
Workshop_ID int,
Date text,
Venue text,
Name text
)
CREATE TABLE Acceptance (
Submission_ID int,
Workshop_ID int,
Result text
)
CREATE TABLE submission (
Submission_ID int,
Scores real,
Author text,
College text
) | SELECT Venue, COUNT(Venue) FROM workshop GROUP BY Venue ORDER BY COUNT(Venue) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4786,
41,
9644,
834,
4309,
16,
17,
6,
7678,
1499,
6,
29940,
1499,
6,
5570,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
20592,
663,
41,
29779,
834,
4309,
16,
17,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
29940,
6,
2847,
17161,
599,
553,
35,
76,
15,
61,
21680,
4786,
350,
4630,
6880,
272,
476,
29940,
4674,
11300,
272,
476,
2847,
17161,
599,
553,
35,
76,
15,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is Road Team, when Result is "74-71"? | CREATE TABLE table_name_36 (road_team VARCHAR, result VARCHAR) | SELECT road_team FROM table_name_36 WHERE result = "74-71" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
8635,
834,
11650,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
2409,
2271,
6,
116,
3,
20119,
19,
96,
4581,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1373,
834,
11650,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
741,
3274,
96,
4581,
18,
4450,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the highest pick for the position tight end? | CREATE TABLE table_name_20 (pick INTEGER, position VARCHAR) | SELECT MAX(pick) FROM table_name_20 WHERE position = "tight end" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
17967,
3,
21342,
17966,
6,
1102,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
2030,
1432,
21,
8,
1102,
4095,
414,
58,
1,
0,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
17967,
61,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
1102,
3274,
96,
17,
2632,
414,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What district does the road with a MDR number of 47 pass through? | CREATE TABLE table_26036389_1 (passes_through___district_s VARCHAR, mdr_no VARCHAR) | SELECT passes_through___district_s FROM table_26036389_1 WHERE mdr_no = 47 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
18365,
3420,
519,
3914,
834,
536,
41,
3968,
15,
7,
834,
11258,
834,
834,
834,
26,
23,
20066,
834,
7,
584,
4280,
28027,
6,
3,
51,
26,
52,
834,
29,
32,
584,
4280,
28027,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
9016,
834,
11258,
834,
834,
834,
26,
23,
20066,
834,
7,
21680,
953,
834,
18365,
3420,
519,
3914,
834,
536,
549,
17444,
427,
3,
51,
26,
52,
834,
29,
32,
3274,
10635,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many bronze medals did Bulgaria receive? | CREATE TABLE table_name_1 (bronze VARCHAR, nation VARCHAR) | SELECT bronze FROM table_name_1 WHERE nation = "bulgaria" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
13711,
776,
584,
4280,
28027,
6,
2982,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
13467,
9365,
7,
410,
15536,
911,
58,
1,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
13467,
21680,
953,
834,
4350,
834,
536,
549,
17444,
427,
2982,
3274,
96,
6724,
122,
6286,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is Position, when School/Club Team is McMaster? | CREATE TABLE table_48609 (
"Round" real,
"Pick" text,
"Player" text,
"Position" text,
"School/Club Team" text
) | SELECT "Position" FROM table_48609 WHERE "School/Club Team" = 'mcmaster' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3840,
4198,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
345,
3142,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
29364,
87,
254,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
345,
32,
7,
4749,
121,
21680,
953,
834,
591,
3840,
4198,
549,
17444,
427,
96,
29364,
87,
254,
11158,
2271,
121,
3274,
3,
31,
51,
75,
7429,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
WHAT IS THE SCORE WITH THE TEAM OF INDIANA? | CREATE TABLE table_48580 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "Score" FROM table_48580 WHERE "Team" = 'indiana' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
4433,
2079,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96,
21417,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
9022,
121,
21680,
953,
834,
591,
4433,
2079,
549,
17444,
427,
96,
18699,
121,
3274,
3,
31,
77,
8603,
9,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which February has a Game of 40? | CREATE TABLE table_name_91 (february VARCHAR, game VARCHAR) | SELECT february FROM table_name_91 WHERE game = 40 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4729,
41,
89,
15,
9052,
1208,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
2083,
65,
3,
9,
4435,
13,
1283,
58,
1,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
29976,
76,
1208,
21680,
953,
834,
4350,
834,
4729,
549,
17444,
427,
467,
3274,
1283,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What label is formatted as compact disc and has United Kingdom as its region? | CREATE TABLE table_name_94 (
label VARCHAR,
format VARCHAR,
region VARCHAR
) | SELECT label FROM table_name_94 WHERE format = "compact disc" AND region = "united kingdom" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
3783,
584,
4280,
28027,
6,
1910,
584,
4280,
28027,
6,
1719,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
3783,
19,
1910,
1054,
38,
6607,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3783,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
1910,
3274,
96,
7699,
2708,
5025,
121,
3430,
1719,
3274,
96,
15129,
15,
26,
14740,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
For all employees who have the letters D or S in their first name, give me the comparison about the sum of salary over the job_id , and group by attribute job_id. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
CO... | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
6266,
41,
4083,
517,
9215,
834,
4309,
7908,
1982,
599,
11116,
632,
201,
4083,
517,
9215,
834,
567,
17683,
3,
4331,
4059,
599,
1828,
61,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
446,
10539,
834,
4309,
6,
180,
6122,
599,
134,
4090,
24721,
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,
1454,
13... |
What is the total number of Poles, when Position is 6th, and when Points is less than 164? | CREATE TABLE table_name_27 (
poles VARCHAR,
position VARCHAR,
points VARCHAR
) | SELECT COUNT(poles) FROM table_name_27 WHERE position = "6th" AND points < 164 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2555,
41,
11148,
7,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
381,
13,
19418,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
14332,
7,
61,
21680,
953,
834,
4350,
834,
2555,
549,
17444,
427,
1102,
3274,
96,
948,
189,
121,
3430,
979,
3,
2,
3,
26987,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the nationality of the player kevin stevens? | CREATE TABLE table_3651 (
"Pick #" real,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text,
"College/junior/club team" text
) | SELECT "Nationality" FROM table_3651 WHERE "Player" = 'Kevin Stevens' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
10402,
536,
41,
96,
345,
3142,
1713,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
15743,
434,
372,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
24732,
485,
121,
21680,
953,
834,
10402,
536,
549,
17444,
427,
96,
15800,
49,
121,
3274,
3,
31,
439,
15,
2494,
9316,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What's the most area of Bochum Part 2 with a population less than 15,911? | CREATE TABLE table_name_72 (
area__km_2__ INTEGER,
place VARCHAR,
population VARCHAR
) | SELECT MAX(area__km_2__) FROM table_name_72 WHERE place = "bochum part 2" AND population < 15 OFFSET 911 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
616,
834,
834,
5848,
834,
357,
834,
834,
3,
21342,
17966,
6,
286,
584,
4280,
28027,
6,
2074,
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,
4800,
4,
599,
498,
834,
834,
5848,
834,
357,
834,
834,
61,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
286,
3274,
96,
26943,
4884,
294,
204,
121,
3430,
2074,
3,
2,
627,
3,
15316,
20788,
23783,
1,
-100,
-100... |
What is the location attendance of the game with A. Horford (10) as the highest rebounds and J. Johnson (21) as the highest points? | CREATE TABLE table_name_49 (
location_attendance VARCHAR,
high_rebounds VARCHAR,
high_points VARCHAR
) | SELECT location_attendance FROM table_name_49 WHERE high_rebounds = "a. horford (10)" AND high_points = "j. johnson (21)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3647,
41,
1128,
834,
15116,
663,
584,
4280,
28027,
6,
306,
834,
23768,
584,
4280,
28027,
6,
306,
834,
2700,
7,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
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,
1128,
834,
15116,
663,
21680,
953,
834,
4350,
834,
3647,
549,
17444,
427,
306,
834,
23768,
3274,
96,
9,
5,
3,
107,
127,
2590,
41,
16968,
121,
3430,
306,
834,
2700,
7,
3274,
96,
354,
5,
3,
27341,
739,
4743,
6982,
... |
What are the names of the technicians that are assigned to repair machines with more point values than 70, and count them by a bar chart, and sort in ascending by the x-axis. | CREATE TABLE technician (
technician_id real,
Name text,
Team text,
Starting_Year real,
Age int
)
CREATE TABLE repair_assignment (
technician_id int,
repair_ID int,
Machine_ID int
)
CREATE TABLE machine (
Machine_ID int,
Making_Year int,
Class text,
Team text,
Machi... | SELECT Name, COUNT(Name) FROM repair_assignment AS T1 JOIN machine AS T2 ON T1.Machine_ID = T2.Machine_ID JOIN technician AS T3 ON T1.technician_id = T3.technician_id WHERE T2.value_points > 70 GROUP BY Name ORDER BY Name | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
17730,
41,
17730,
834,
23,
26,
490,
6,
5570,
1499,
6,
2271,
1499,
6,
14362,
834,
476,
2741,
490,
6,
7526,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
2096,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
5570,
6,
2847,
17161,
599,
23954,
61,
21680,
2096,
834,
9,
7,
6732,
297,
6157,
332,
536,
3,
15355,
3162,
1437,
6157,
332,
357,
9191,
332,
5411,
329,
1836,
630,
834,
4309,
3274,
332,
4416,
329,
1836,
630,
834,
4309,
... |
Name the gdp world rank for asian rank being 15 | CREATE TABLE table_25045 (
"Asian rank" real,
"World rank" real,
"Country" text,
"GDP per capita" text,
"GDP world rank" text
) | SELECT "GDP world rank" FROM table_25045 WHERE "Asian rank" = '15' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
11434,
2128,
41,
96,
188,
10488,
11003,
121,
490,
6,
96,
17954,
11003,
121,
490,
6,
96,
10628,
651,
121,
1499,
6,
96,
517,
7410,
399,
23219,
121,
1499,
6,
96,
517,
7410,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
517,
7410,
296,
11003,
121,
21680,
953,
834,
11434,
2128,
549,
17444,
427,
96,
188,
10488,
11003,
121,
3274,
3,
31,
1808,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is maximum age of patients whose admission location is emergency room admit and days of hospital stay is 9? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT MAX(demographic.age) FROM demographic WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.days_stay = "9" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
2118,
23,
26,
1499,
6,
5059,
715,
1499,
6,
5692,
1499,
6,
701,
834,
15129,
1499,
6,
3783,
1499,
6,
5798,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
9,
26,
5451,
834,
14836,
3274,
96,
427,
13098,
18464,
17063,
3,
30270,
8502,
12604,
121,
3430,
14798,
5,
1135,
7,
834,
21545,
3274,
96,... |
What are the valid from and valid to dates for the card with the number 4560596484842? | CREATE TABLE accounts (
account_id number,
customer_id number,
account_name text,
other_account_details text
)
CREATE TABLE financial_transactions (
transaction_id number,
previous_transaction_id number,
account_id number,
card_id number,
transaction_type text,
transaction_date ... | SELECT date_valid_from, date_valid_to FROM customers_cards WHERE card_number = "4560596484842" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3744,
41,
905,
834,
23,
26,
381,
6,
884,
834,
23,
26,
381,
6,
905,
834,
4350,
1499,
6,
119,
834,
9,
75,
13362,
834,
221,
5756,
7,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
833,
834,
27769,
834,
7152,
6,
833,
834,
27769,
834,
235,
21680,
722,
834,
6043,
7,
549,
17444,
427,
895,
834,
5525,
1152,
3274,
96,
2128,
3328,
3390,
4389,
4608,
4608,
357,
121,
1,
-100,
-100,
-100,
-100,
-100,
-10... |
Name the kicks with goals of 1 | CREATE TABLE table_69272 (
"Player" text,
"AFL debut" text,
"Games" text,
"Goals" text,
"Kicks" text,
"Handballs" text,
"Disposals" text,
"Marks" text,
"Tackles" text
) | SELECT "Kicks" FROM table_69272 WHERE "Goals" = '1' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3951,
2555,
357,
41,
96,
15800,
49,
121,
1499,
6,
96,
188,
10765,
5695,
121,
1499,
6,
96,
23055,
7,
121,
1499,
6,
96,
6221,
5405,
121,
1499,
6,
96,
439,
3142,
7,
121,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
439,
3142,
7,
121,
21680,
953,
834,
3951,
2555,
357,
549,
17444,
427,
96,
6221,
5405,
121,
3274,
3,
31,
536,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which year did the school with enrollment of 413 join? | CREATE TABLE table_name_46 (year_joined VARCHAR, enrollment VARCHAR) | SELECT year_joined FROM table_name_46 WHERE enrollment = 413 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4448,
41,
1201,
834,
1927,
630,
26,
584,
4280,
28027,
6,
17938,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
215,
410,
8,
496,
28,
17938,
13,
314,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
215,
834,
1927,
630,
26,
21680,
953,
834,
4350,
834,
4448,
549,
17444,
427,
17938,
3274,
314,
2368,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the low goal for orders more than 939 during Seasons of 1996 – 2001? | CREATE TABLE table_name_17 (goals INTEGER, seasons VARCHAR, order VARCHAR) | SELECT MIN(goals) FROM table_name_17 WHERE seasons = "1996 – 2001" AND order > 939 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2517,
41,
839,
5405,
3,
21342,
17966,
6,
9385,
584,
4280,
28027,
6,
455,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
731,
1288,
21,
5022,
72... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
839,
5405,
61,
21680,
953,
834,
4350,
834,
2517,
549,
17444,
427,
9385,
3274,
96,
2294,
4314,
3,
104,
4402,
121,
3430,
455,
2490,
668,
3288,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What place is the player with score of 70-68-70=208 from? | CREATE TABLE table_name_38 (
place VARCHAR,
score VARCHAR
) | SELECT place FROM table_name_38 WHERE score = 70 - 68 - 70 = 208 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3747,
41,
286,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
286,
19,
8,
1959,
28,
2604,
13,
2861,
18,
3651,
18,
2518,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
286,
21680,
953,
834,
4350,
834,
3747,
549,
17444,
427,
2604,
3274,
2861,
3,
18,
3,
3651,
3,
18,
2861,
3274,
3,
23946,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the total attended for kilmarnock? | CREATE TABLE table_29176 (
"Team" text,
"Stadium" text,
"Capacity" real,
"Total" real,
"Highest" real,
"Lowest" real,
"Average" real
) | SELECT MIN("Total") FROM table_29176 WHERE "Team" = 'Kilmarnock' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3166,
26782,
41,
96,
18699,
121,
1499,
6,
96,
134,
17,
9,
12925,
121,
1499,
6,
96,
19566,
9,
6726,
121,
490,
6,
96,
3696,
1947,
121,
490,
6,
96,
21417,
222,
121,
490,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
121,
3696,
1947,
8512,
21680,
953,
834,
3166,
26782,
549,
17444,
427,
96,
18699,
121,
3274,
3,
31,
439,
173,
1635,
29,
3961,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the SDLP of Belfast? | CREATE TABLE table_30219 (
"Council" text,
"TUV" real,
"Democratic Unionist" real,
"Ulster Unionist" real,
"Alliance" real,
"SDLP" real,
"Sinn F\u00e9in" real,
"Green (NI)" real,
"Independent" real,
"Others" text,
"Total" real
) | SELECT MAX("SDLP") FROM table_30219 WHERE "Council" = 'Belfast' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1458,
357,
2294,
41,
96,
3881,
15254,
40,
121,
1499,
6,
96,
9968,
553,
121,
490,
6,
96,
19679,
447,
3545,
343,
121,
490,
6,
96,
1265,
40,
1370,
3545,
343,
121,
490,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
7331,
6892,
8512,
21680,
953,
834,
1458,
357,
2294,
549,
17444,
427,
96,
3881,
15254,
40,
121,
3274,
3,
31,
2703,
40,
11584,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What are the profits in billions for Berkshire Hathaway? | CREATE TABLE table_72823 (
"Rank" real,
"Company" text,
"Headquarters" text,
"Industry" text,
"Sales (billion $)" text,
"Profits (billion $)" text,
"Assets (billion $)" text,
"Market Value (billion $)" text
) | SELECT "Profits (billion $)" FROM table_72823 WHERE "Company" = 'Berkshire Hathaway' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
2577,
2773,
41,
96,
22557,
121,
490,
6,
96,
5890,
2837,
63,
121,
1499,
6,
96,
3845,
9,
26,
19973,
7,
121,
1499,
6,
96,
1570,
8655,
8224,
121,
1499,
6,
96,
134,
452... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
23057,
7085,
41,
115,
14916,
1514,
61,
121,
21680,
953,
834,
940,
2577,
2773,
549,
17444,
427,
96,
5890,
2837,
63,
121,
3274,
3,
31,
279,
49,
157,
5718,
1626,
189,
8006,
31,
1,
-100,
-100,
-100,
-100,
-100,
-1... |
In the year 1992 for the Seibu Lions, the BB + HBP which is larger than 49 was this as a BA (Place)? | CREATE TABLE table_name_70 (ba__place_ VARCHAR, year VARCHAR, team VARCHAR, bb_ VARCHAR, hbp VARCHAR) | SELECT ba__place_ FROM table_name_70 WHERE bb_ + hbp > 49 AND team = "seibu lions" AND year = "1992" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
115,
9,
834,
834,
4687,
834,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
6,
3,
115,
115,
834,
584,
4280,
28027,
6,
3,
107,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4698,
834,
834,
4687,
834,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
3,
115,
115,
834,
1768,
3,
107,
115,
102,
2490,
9526,
3430,
372,
3274,
96,
7,
15,
23,
3007,
3,
7325,
7,
121,
3430,
215,
3274,
96,
194... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.