NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
What is the election date for those politicians who left office on 1850-11-15? | CREATE TABLE table_26362472_1 (election_date VARCHAR, left_office VARCHAR) | SELECT COUNT(election_date) FROM table_26362472_1 WHERE left_office = "1850-11-15" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2688,
3420,
2266,
5865,
834,
536,
41,
15,
12252,
834,
5522,
584,
4280,
28027,
6,
646,
834,
19632,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
4356,
833,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
15,
12252,
834,
5522,
61,
21680,
953,
834,
2688,
3420,
2266,
5865,
834,
536,
549,
17444,
427,
646,
834,
19632,
3274,
96,
2606,
1752,
9169,
10106,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many students participated in tryouts for each college by descennding count. Show a pie chart. | CREATE TABLE College (
cName varchar(20),
state varchar(2),
enr numeric(5,0)
)
CREATE TABLE Tryout (
pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3)
)
CREATE TABLE Player (
pID numeric(5,0),
pName varchar(20),
yCard varchar(3),
HS numeric(5,0)
) | SELECT cName, COUNT(*) FROM Tryout GROUP BY cName ORDER BY COUNT(*) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1888,
41,
3,
75,
23954,
3,
4331,
4059,
599,
1755,
201,
538,
3,
4331,
4059,
16426,
6,
3,
35,
52,
206,
17552,
599,
11116,
632,
61,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
75,
23954,
6,
2847,
17161,
599,
1935,
61,
21680,
5263,
670,
350,
4630,
6880,
272,
476,
3,
75,
23954,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the population of the area that was formerly under the authority of the Audenshaw Urban District? | CREATE TABLE table_name_65 (
population VARCHAR,
former_local_authority VARCHAR
) | SELECT population FROM table_name_65 WHERE former_local_authority = "audenshaw urban district" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
2074,
584,
4280,
28027,
6,
1798,
834,
16882,
834,
17415,
485,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2074,
13,
8,
616,
24,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2074,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
1798,
834,
16882,
834,
17415,
485,
3274,
96,
402,
537,
15622,
4150,
3939,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the average Game, when Team is 'Milwaukee'? | CREATE TABLE table_76271 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT AVG("Game") FROM table_76271 WHERE "Team" = 'milwaukee' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3959,
2555,
536,
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,
71,
17217,
599,
121,
23055,
8512,
21680,
953,
834,
3959,
2555,
536,
549,
17444,
427,
96,
18699,
121,
3274,
3,
31,
51,
173,
210,
402,
1050,
15,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the area in kilometers squared the population density is 137.61? | CREATE TABLE table_991 (
"Name" text,
"Population (2002 census)" real,
"Population (2007 estimation)" real,
"Population (2011 census)" real,
"Area (km\u00b2)" text,
"Density (pop/km\u00b2)" text
) | SELECT "Area (km\u00b2)" FROM table_991 WHERE "Density (pop/km\u00b2)" = '137.61' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3264,
536,
41,
96,
23954,
121,
1499,
6,
96,
27773,
7830,
41,
24898,
23087,
61,
121,
490,
6,
96,
27773,
7830,
41,
20615,
22781,
61,
121,
490,
6,
96,
27773,
7830,
41,
13907,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
188,
864,
41,
5848,
2,
76,
1206,
115,
7318,
121,
21680,
953,
834,
3264,
536,
549,
17444,
427,
96,
308,
35,
7,
485,
41,
9791,
87,
5848,
2,
76,
1206,
115,
7318,
121,
3274,
3,
31,
24636,
5,
4241,
31,
1,
-100,... |
What is the lowest 2011 number (,000)? | CREATE TABLE table_74103 (
"Status" text,
"2001 number (,000)" real,
"2001 %" text,
"2011 number (,000)" real,
"2011 %" text
) | SELECT MIN("2011 number (,000)") FROM table_74103 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4581,
17864,
41,
96,
134,
17,
144,
302,
121,
1499,
6,
96,
23658,
381,
41,
6,
2313,
61,
121,
490,
6,
96,
23658,
3,
1454,
121,
1499,
6,
96,
13907,
381,
41,
6,
2313,
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,
3,
17684,
599,
121,
13907,
381,
41,
6,
2313,
61,
8512,
21680,
953,
834,
4581,
17864,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the average pass def that has green bay packers as the team, 62 as the solo and sacks less than 2? | CREATE TABLE table_name_63 (pass_def INTEGER, sacks VARCHAR, team VARCHAR, solo VARCHAR) | SELECT AVG(pass_def) FROM table_name_63 WHERE team = "green bay packers" AND solo = 62 AND sacks < 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3891,
41,
3968,
834,
221,
89,
3,
21342,
17966,
6,
3,
15525,
7,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
6,
6729,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
3968,
834,
221,
89,
61,
21680,
953,
834,
4350,
834,
3891,
549,
17444,
427,
372,
3274,
96,
9423,
10210,
4153,
277,
121,
3430,
6729,
3274,
3,
4056,
3430,
3,
15525,
7,
3,
2,
204,
1,
-100,
-100,
-100,
... |
Where is lootos põlva from? | CREATE TABLE table_27409644_1 (location VARCHAR, club VARCHAR) | SELECT location FROM table_27409644_1 WHERE club = "Lootos Põlva" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
2445,
4314,
3628,
834,
536,
41,
14836,
584,
4280,
28027,
6,
1886,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2840,
19,
6899,
32,
235,
7,
3,
102,
2,
40,
900,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1128,
21680,
953,
834,
2555,
2445,
4314,
3628,
834,
536,
549,
17444,
427,
1886,
3274,
96,
434,
32,
32,
235,
7,
276,
2,
40,
900,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many female patients had the diagnosis long title 35-36 completed weeks of gestation? | 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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.long_title = "35-36 completed weeks of gestation" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
2118,
23,
26,
1499,
6,
5059,
715,
1499,
6,
5692,
1499,
6,
701,
834,
15129,
1499,
6,
3783,
1499,
6,
5798,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
individuals who are found to have prediabetes. pre _ diabetes is defined as having a fasting glucose > 100 mg / dl and < 126 mg / dl. | CREATE TABLE table_dev_52 (
"id" int,
"anemia" bool,
"gender" string,
"prediabetes" bool,
"systolic_blood_pressure_sbp" int,
"metabolic_syndrome" bool,
"hemoglobin_a1c_hba1c" float,
"dyslipidemia" bool,
"dsp" int,
"renal_disease" bool,
"hepatic_disease" bool,
"elevated_tr... | SELECT * FROM table_dev_52 WHERE prediabetes = 1 OR (fasting_glucose > 100 AND fasting_glucose < 126) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9776,
834,
5373,
41,
96,
23,
26,
121,
16,
17,
6,
96,
152,
11658,
121,
3,
12840,
40,
6,
96,
122,
3868,
121,
6108,
6,
96,
2026,
26,
23,
9,
346,
1422,
121,
3,
12840,
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,
1429,
21680,
953,
834,
9776,
834,
5373,
549,
17444,
427,
4880,
18999,
346,
1422,
3274,
209,
4674,
41,
11584,
53,
834,
13492,
509,
7,
15,
2490,
910,
3430,
1006,
53,
834,
13492,
509,
7,
15,
3,
2,
586,
10938,
1,
-100... |
Which club was founded after 1998? | CREATE TABLE table_name_49 (club VARCHAR, founded INTEGER) | SELECT club FROM table_name_49 WHERE founded > 1998 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3647,
41,
13442,
584,
4280,
28027,
6,
5710,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
4073,
1886,
47,
5710,
227,
6260,
58,
1,
0,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1886,
21680,
953,
834,
4350,
834,
3647,
549,
17444,
427,
5710,
2490,
6260,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
List the players for team brynäs if (sweden). | CREATE TABLE table_2850912_12 (player VARCHAR, college_junior_club_team VARCHAR) | SELECT player FROM table_2850912_12 WHERE college_junior_club_team = "Brynäs IF (Sweden)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
1752,
4729,
357,
834,
2122,
41,
20846,
584,
4280,
28027,
6,
1900,
834,
6959,
23,
127,
834,
13442,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
6792,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1959,
21680,
953,
834,
2577,
1752,
4729,
357,
834,
2122,
549,
17444,
427,
1900,
834,
6959,
23,
127,
834,
13442,
834,
11650,
3274,
96,
279,
651,
29,
1864,
7,
3,
6058,
41,
134,
1123,
537,
61,
121,
1,
-100,
-100,
-10... |
Find the average price of wines that are not produced from Sonoma county. | CREATE TABLE wine (price INTEGER, Appelation VARCHAR); CREATE TABLE APPELLATIONS (Appelation VARCHAR, County VARCHAR); CREATE TABLE WINE (Appelation VARCHAR) | SELECT AVG(price) FROM wine WHERE NOT Appelation IN (SELECT T1.Appelation FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = 'Sonoma') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2013,
41,
102,
4920,
3,
21342,
17966,
6,
3,
27794,
257,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
3,
13747,
12735,
8015,
134,
41,
27794,
257,
584,
4280... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
102,
4920,
61,
21680,
2013,
549,
17444,
427,
4486,
3,
27794,
257,
3388,
41,
23143,
14196,
332,
5411,
27794,
257,
21680,
3,
13747,
12735,
8015,
134,
6157,
332,
536,
3,
15355,
3162,
549,
9730,
6157,
332,... |
Name the country with a score of 69-71=140. | CREATE TABLE table_47688 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
) | SELECT "Country" FROM table_47688 WHERE "Score" = '69-71=140' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3959,
4060,
41,
96,
345,
11706,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
3696,
260,
121,
1499,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
10628,
651,
121,
21680,
953,
834,
591,
3959,
4060,
549,
17444,
427,
96,
134,
9022,
121,
3274,
3,
31,
3951,
18,
4450,
2423,
22012,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the total number of cuts made of tournaments with 2 Events? | CREATE TABLE table_76035 (
"Tournament" text,
"Wins" real,
"Top-25" real,
"Events" real,
"Cuts made" real
) | SELECT COUNT("Cuts made") FROM table_76035 WHERE "Events" = '2' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
28212,
2469,
41,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
18455,
7,
121,
490,
6,
96,
22481,
14855,
121,
490,
6,
96,
427,
2169,
7,
121,
490,
6,
96,
15784,
17,
7,
263,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15784,
17,
7,
263,
8512,
21680,
953,
834,
28212,
2469,
549,
17444,
427,
96,
427,
2169,
7,
121,
3274,
3,
31,
357,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the time for Peter Berwick of Team Suzuki? | CREATE TABLE table_74609 (
"Rank" real,
"Rider" text,
"Team" text,
"Speed" text,
"Time" text
) | SELECT "Time" FROM table_74609 WHERE "Team" = 'suzuki' AND "Rider" = 'peter berwick' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
4448,
4198,
41,
96,
22557,
121,
490,
6,
96,
448,
23,
588,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
28328,
121,
1499,
6,
96,
13368,
121,
1499,
3,
61,
3,
32102,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
96,
13368,
121,
21680,
953,
834,
940,
4448,
4198,
549,
17444,
427,
96,
18699,
121,
3274,
3,
31,
7,
76,
1000,
2168,
31,
3430,
96,
448,
23,
588,
121,
3274,
3,
31,
4995,
49,
3,
1152,
5981,
31,
1,
-100,
-100,
-100,
... |
Tell me the date for warsaw 1929 | CREATE TABLE table_name_50 (date VARCHAR, location VARCHAR, year VARCHAR) | SELECT date FROM table_name_50 WHERE location = "warsaw" AND year = 1929 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
5522,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
833,
21,
615,
13125,
27332,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
833,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
1128,
3274,
96,
2910,
13125,
121,
3430,
215,
3274,
27332,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Bar chart x axis software platform y axis the total number, and sort by the Y-axis from high to low. | CREATE TABLE shop (
Shop_ID int,
Shop_Name text,
Location text,
Open_Date text,
Open_Year int
)
CREATE TABLE stock (
Shop_ID int,
Device_ID int,
Quantity int
)
CREATE TABLE device (
Device_ID int,
Device text,
Carrier text,
Package_Version text,
Applications text,
... | SELECT Software_Platform, COUNT(*) FROM device GROUP BY Software_Platform ORDER BY COUNT(*) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1814,
41,
3687,
834,
4309,
16,
17,
6,
3687,
834,
23954,
1499,
6,
10450,
1499,
6,
2384,
834,
308,
342,
1499,
6,
2384,
834,
476,
2741,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
438... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4300,
834,
10146,
2032,
6,
2847,
17161,
599,
1935,
61,
21680,
1407,
350,
4630,
6880,
272,
476,
4300,
834,
10146,
2032,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-1... |
Which Wicket was it that had a 104 (69) Runs (balls) amount? | CREATE TABLE table_name_55 (
wicket VARCHAR,
runs__balls_ VARCHAR
) | SELECT wicket FROM table_name_55 WHERE runs__balls_ = "104 (69)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3769,
41,
29719,
584,
4280,
28027,
6,
3154,
834,
834,
3184,
7,
834,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
18602,
15,
17,
47,
34,
24,
141,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
29719,
21680,
953,
834,
4350,
834,
3769,
549,
17444,
427,
3154,
834,
834,
3184,
7,
834,
3274,
96,
15442,
41,
3951,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many times did a can i bus album reach the top 10 on the us charts ? | CREATE TABLE table_203_137 (
id number,
"title" text,
"album details" text,
"peak chart positions\nus" number,
"peak chart positions\nus r&b" number,
"certifications" text
) | SELECT COUNT(*) FROM table_203_137 WHERE "title" = 'can-i-bus' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
24636,
41,
3,
23,
26,
381,
6,
96,
21869,
121,
1499,
6,
96,
23703,
1030,
121,
1499,
6,
96,
14661,
5059,
4655,
2,
29,
302,
121,
381,
6,
96,
14661,
5059,
4655,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
953,
834,
23330,
834,
24636,
549,
17444,
427,
96,
21869,
121,
3274,
3,
31,
1608,
18,
23,
18,
3465,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What was the winning score in the PGA Championship? | CREATE TABLE table_67416 (
"Year" text,
"Championship" text,
"54 holes" text,
"Winning score" text,
"Margin" text
) | SELECT "Winning score" FROM table_67416 WHERE "Championship" = 'pga championship' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3708,
591,
2938,
41,
96,
476,
2741,
121,
1499,
6,
96,
254,
1483,
12364,
2009,
121,
1499,
6,
96,
5062,
8034,
121,
1499,
6,
96,
518,
10503,
2604,
121,
1499,
6,
96,
7286,
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,
518,
10503,
2604,
121,
21680,
953,
834,
3708,
591,
2938,
549,
17444,
427,
96,
254,
1483,
12364,
2009,
121,
3274,
3,
31,
102,
122,
9,
10183,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What was the attendance at the game that had a loss of Mercker (3-1)? | CREATE TABLE table_name_12 (attendance VARCHAR, loss VARCHAR) | SELECT attendance FROM table_name_12 WHERE loss = "mercker (3-1)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
15116,
663,
584,
4280,
28027,
6,
1453,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
11364,
44,
8,
467,
24,
141,
3,
9,
1453,
13,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
11364,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
1453,
3274,
96,
935,
3383,
6918,
18,
6982,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Tell me the opponent for 6 2, 3 6, 4 6 | CREATE TABLE table_name_29 (
opponent_in_the_final VARCHAR,
score_in_the_final VARCHAR
) | SELECT opponent_in_the_final FROM table_name_29 WHERE score_in_the_final = "6–2, 3–6, 4–6" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
15264,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
6,
2604,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
834,
77,
834,
532,
834,
12406,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
2604,
834,
77,
834,
532,
834,
12406,
3274,
96,
948,
104,
4482,
220,
104,
11071,
314,
104,
948,
121,
1,
-100,
-100,
-100,
-100,... |
What type of surface did Thomaz Bellucci play against tommy robredo? | CREATE TABLE table_48015 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent" text,
"Score" text
) | SELECT "Surface" FROM table_48015 WHERE "Opponent" = 'tommy robredo' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20579,
1808,
41,
96,
15767,
287,
15,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
667,
102,
9... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
450,
4861,
121,
21680,
953,
834,
20579,
1808,
549,
17444,
427,
96,
667,
102,
9977,
121,
3274,
3,
31,
235,
635,
63,
3,
5840,
1271,
32,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is Date, when Score is 6-3, 4-6, 0-6? | CREATE TABLE table_name_88 (
date VARCHAR,
score VARCHAR
) | SELECT date FROM table_name_88 WHERE score = "6-3, 4-6, 0-6" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4060,
41,
833,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
7678,
6,
116,
17763,
19,
3,
24262,
6,
3,
20445,
6,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
4060,
549,
17444,
427,
2604,
3274,
96,
24262,
6,
3,
20445,
6,
3,
632,
5783,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
The Dallas Burn had a 12-9-7 record and what number of goals for? | CREATE TABLE table_17709 (
"Club" text,
"Overall Record" text,
"Goals For" real,
"Goals For Avg." text,
"Goals Against" real,
"Goals Against Avg." text
) | SELECT "Goals For" FROM table_17709 WHERE "Overall Record" = '12-9-7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26793,
4198,
41,
96,
254,
11158,
121,
1499,
6,
96,
23847,
1748,
11392,
121,
1499,
6,
96,
6221,
5405,
242,
121,
490,
6,
96,
6221,
5405,
242,
71,
208,
122,
535,
1499,
6,
96... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
6221,
5405,
242,
121,
21680,
953,
834,
26793,
4198,
549,
17444,
427,
96,
23847,
1748,
11392,
121,
3274,
3,
31,
2122,
7141,
6832,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
was it azeta racing or target racing that won the misano world circuit ? | CREATE TABLE table_204_63 (
id number,
"round" number,
"circuit" text,
"date" text,
"pole position" text,
"winning driver" text,
"winning team" text,
"trophy winner" text
) | SELECT "winning team" FROM table_204_63 WHERE "circuit" = 'misano world circuit' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
3891,
41,
3,
23,
26,
381,
6,
96,
7775,
121,
381,
6,
96,
15357,
21560,
121,
1499,
6,
96,
5522,
121,
1499,
6,
96,
14332,
1102,
121,
1499,
6,
96,
8163,
2535,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
8163,
372,
121,
21680,
953,
834,
26363,
834,
3891,
549,
17444,
427,
96,
15357,
21560,
121,
3274,
3,
31,
51,
159,
152,
32,
296,
4558,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
what's the night rank with rating of 6.2 | CREATE TABLE table_16650 (
"#" real,
"Episode" text,
"Air Date" text,
"Rating" text,
"Share" real,
"Rating/Share 18\u201349" text,
"Viewers (m)" text,
"Timeslot Rank" real,
"Night Rank" text,
"Overall Rank" real
) | SELECT "Night Rank" FROM table_16650 WHERE "Rating" = '6.2' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2938,
15348,
41,
96,
4663,
121,
490,
6,
96,
427,
102,
159,
32,
221,
121,
1499,
6,
96,
20162,
7678,
121,
1499,
6,
96,
448,
1014,
121,
1499,
6,
96,
24501,
121,
490,
6,
96... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
567,
2632,
3,
22557,
121,
21680,
953,
834,
2938,
15348,
549,
17444,
427,
96,
448,
1014,
121,
3274,
3,
31,
23913,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which grand prix had gerhard berger in his fastest lap and a jacques villeneuve pole position? | CREATE TABLE table_name_24 (grand_prix VARCHAR, fastest_lap VARCHAR, pole_position VARCHAR) | SELECT grand_prix FROM table_name_24 WHERE fastest_lap = "gerhard berger" AND pole_position = "jacques villeneuve" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
15448,
834,
2246,
226,
584,
4280,
28027,
6,
10391,
834,
8478,
584,
4280,
28027,
6,
11148,
834,
4718,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1907,
834,
2246,
226,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
10391,
834,
8478,
3274,
96,
1304,
5651,
3,
16170,
121,
3430,
11148,
834,
4718,
3274,
96,
1191,
75,
7771,
3,
1420,
26445,
121,
1,
-100,
-100,
-... |
what is 2009 when 2004 is 107? | CREATE TABLE table_name_5 (
Id VARCHAR
) | SELECT 2009 FROM table_name_5 WHERE 2004 = "107" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
755,
41,
27,
26,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
2464,
116,
4406,
19,
3,
18057,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2464,
21680,
953,
834,
4350,
834,
755,
549,
17444,
427,
4406,
3274,
96,
18057,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name who wrote the episode when the viewers was 1.81 | CREATE TABLE table_15584067_7 (written_by VARCHAR, us_viewers__million_ VARCHAR) | SELECT written_by FROM table_15584067_7 WHERE us_viewers__million_ = "1.81" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20896,
26311,
3708,
834,
940,
41,
14973,
834,
969,
584,
4280,
28027,
6,
178,
834,
4576,
277,
834,
834,
17030,
834,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1545,
834,
969,
21680,
953,
834,
20896,
26311,
3708,
834,
940,
549,
17444,
427,
178,
834,
4576,
277,
834,
834,
17030,
834,
3274,
96,
16253,
536,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
If the country is fenghuang how many provinces are there? | CREATE TABLE table_152834_2 (
province VARCHAR,
county VARCHAR
) | SELECT COUNT(province) FROM table_152834_2 WHERE county = "Fenghuang" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
2577,
3710,
834,
357,
41,
7985,
584,
4280,
28027,
6,
5435,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
156,
8,
684,
19,
3,
89,
4606,
107,
76,
1468,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
1409,
2494,
565,
61,
21680,
953,
834,
1808,
2577,
3710,
834,
357,
549,
17444,
427,
5435,
3274,
96,
371,
4606,
107,
76,
1468,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Opponent when Todd Woodbridge was the runner-up, and a Date of 26 august 1996? | CREATE TABLE table_43358 (
"Outcome" text,
"Date" text,
"Championship" text,
"Surface" text,
"Opponent" text,
"Score" text
) | SELECT "Opponent" FROM table_43358 WHERE "Outcome" = 'runner-up' AND "Date" = '26 august 1996' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4906,
519,
3449,
41,
96,
15767,
287,
15,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
254,
1483,
12364,
2009,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
667,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
667,
102,
9977,
121,
21680,
953,
834,
4906,
519,
3449,
549,
17444,
427,
96,
15767,
287,
15,
121,
3274,
3,
31,
10806,
18,
413,
31,
3430,
96,
308,
342,
121,
3274,
3,
31,
2688,
14663,
6911,
31,
1,
-100,
-100,
-... |
What season had 3rd position, a 36 pld, and a bbl div? | CREATE TABLE table_63302 (
"Season" text,
"Div." text,
"Pos." text,
"Pld." text,
"Pts." text
) | SELECT "Season" FROM table_63302 WHERE "Pos." = '3rd' AND "Pld." = '36' AND "Div." = 'bbl' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3891,
1458,
357,
41,
96,
134,
15,
9,
739,
121,
1499,
6,
96,
21313,
535,
1499,
6,
96,
345,
32,
7,
535,
1499,
6,
96,
345,
40,
26,
535,
1499,
6,
96,
345,
17,
7,
535,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
15,
9,
739,
121,
21680,
953,
834,
3891,
1458,
357,
549,
17444,
427,
96,
345,
32,
7,
535,
3274,
3,
31,
519,
52,
26,
31,
3430,
96,
345,
40,
26,
535,
3274,
3,
31,
3420,
31,
3430,
96,
21313,
535,
3274,
... |
What is Date, when Home Team is 'Luton Town'? | CREATE TABLE table_name_53 (
date VARCHAR,
home_team VARCHAR
) | SELECT date FROM table_name_53 WHERE home_team = "luton town" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4867,
41,
833,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
7678,
6,
116,
1210,
2271,
19,
3,
31,
434,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
833,
21680,
953,
834,
4350,
834,
4867,
549,
17444,
427,
234,
834,
11650,
3274,
96,
40,
76,
17,
106,
1511,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the highest percentage when there are more than 361 blocks? | CREATE TABLE table_name_66 (percentage INTEGER, total_blocks INTEGER) | SELECT MAX(percentage) FROM table_name_66 WHERE total_blocks > 361 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
883,
3728,
545,
3,
21342,
17966,
6,
792,
834,
10734,
7,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
5294,
116,
132,
33,
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,
4800,
4,
599,
883,
3728,
545,
61,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
792,
834,
10734,
7,
2490,
220,
4241,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what was total number of civilian casualties in vilovo ? | CREATE TABLE table_204_693 (
id number,
"place" text,
"total" number,
"men" number,
"women" number,
"children" number,
"elderly" number,
"serbs" number,
"jews" number,
"romani" number,
"rusyns" number,
"hungarians" number,
"russians" number
) | SELECT "total" FROM table_204_693 WHERE "place" = 'vilovo' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
3951,
519,
41,
3,
23,
26,
381,
6,
96,
4687,
121,
1499,
6,
96,
235,
1947,
121,
381,
6,
96,
904,
121,
381,
6,
96,
210,
32,
904,
121,
381,
6,
96,
25782,
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,
235,
1947,
121,
21680,
953,
834,
26363,
834,
3951,
519,
549,
17444,
427,
96,
4687,
121,
3274,
3,
31,
6372,
32,
1621,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is Part 4, when Part 2 is "hljóp"? | CREATE TABLE table_name_65 (part_4 VARCHAR, part_2 VARCHAR) | SELECT part_4 FROM table_name_65 WHERE part_2 = "hljóp" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
2274,
834,
591,
584,
4280,
28027,
6,
294,
834,
357,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
2733,
6464,
116,
2733,
204,
19,
96,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
294,
834,
591,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
294,
834,
357,
3274,
96,
107,
40,
354,
4922,
102,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the total number of rounds that had draft pick 97, duncan mccoll? | CREATE TABLE table_name_62 (round VARCHAR, player VARCHAR, pick VARCHAR) | SELECT COUNT(round) FROM table_name_62 WHERE player = "duncan mccoll" AND pick < 97 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
7775,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
6,
1432,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
381,
13,
14419,
24,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
7775,
61,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
1959,
3274,
96,
26,
202,
1608,
3,
51,
75,
3297,
40,
121,
3430,
1432,
3,
2,
3,
4327,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the smallest introduced value? | CREATE TABLE table_1081459_1 (
introduced INTEGER
) | SELECT MIN(introduced) FROM table_1081459_1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
16169,
2534,
3390,
834,
536,
41,
3665,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3,
17924,
3665,
701,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
20322,
32,
12160,
26,
61,
21680,
953,
834,
16169,
2534,
3390,
834,
536,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
which model of car won the most races in the 1992 season ? | CREATE TABLE table_203_271 (
id number,
"date" text,
"series" text,
"circuit" text,
"city / state" text,
"winner" text,
"team" text,
"car" text,
"report" text
) | SELECT "car" FROM table_203_271 GROUP BY "car" ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
2555,
536,
41,
3,
23,
26,
381,
6,
96,
5522,
121,
1499,
6,
96,
10833,
7,
121,
1499,
6,
96,
15357,
21560,
121,
1499,
6,
96,
6726,
3,
87,
538,
121,
1499,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
1720,
121,
21680,
953,
834,
23330,
834,
2555,
536,
350,
4630,
6880,
272,
476,
96,
1720,
121,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the section where gordon lee ran | CREATE TABLE table_1342393_10 (
district VARCHAR,
incumbent VARCHAR
) | SELECT district FROM table_1342393_10 WHERE incumbent = "Gordon Lee" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
2773,
4271,
834,
1714,
41,
3939,
584,
4280,
28027,
6,
28406,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
1375,
213,
281,
52,
2029,
90,
15,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3939,
21680,
953,
834,
23747,
2773,
4271,
834,
1714,
549,
17444,
427,
28406,
3274,
96,
517,
127,
2029,
5531,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the score of the game that holds a record of 80-61? | CREATE TABLE table_name_69 (score VARCHAR, record VARCHAR) | SELECT score FROM table_name_69 WHERE record = "80-61" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
7,
9022,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2604,
13,
8,
467,
24,
4532,
3,
9,
1368,
13,
2775... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3951,
549,
17444,
427,
1368,
3274,
96,
2079,
18,
4241,
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 number of types of competition?, sort the number of competition type from high to low order. | CREATE TABLE competition (
Competition_ID int,
Year real,
Competition_type text,
Country text
)
CREATE TABLE competition_result (
Competition_ID int,
Club_ID_1 int,
Club_ID_2 int,
Score text
)
CREATE TABLE club_rank (
Rank real,
Club_ID int,
Gold real,
Silver real,
... | SELECT Competition_type, COUNT(Competition_type) FROM competition GROUP BY Competition_type ORDER BY COUNT(Competition_type) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2259,
41,
15571,
834,
4309,
16,
17,
6,
2929,
490,
6,
15571,
834,
6137,
1499,
6,
6993,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
2259,
834,
60,
7,
83,
17,
41... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
15571,
834,
6137,
6,
2847,
17161,
599,
5890,
4995,
4749,
834,
6137,
61,
21680,
2259,
350,
4630,
6880,
272,
476,
15571,
834,
6137,
4674,
11300,
272,
476,
2847,
17161,
599,
5890,
4995,
4749,
834,
6137,
61,
309,
25067,
1... |
count the number of patients who are married and their lab test item id is 51446. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab.itemid = "51446" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14798,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
564,
1499,
6,
2774,
1947,
834,
8547,
302,
1499,
6,
1246,
1499,
6,
103,
115,
1499,
6,
7285,
1499,
6,
1612,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
What is the lowest mintage in a year earlier than 2005? | CREATE TABLE table_10334 (
"Year" real,
"Park" text,
"Artist" text,
"Mintage" real,
"Issue Price" text
) | SELECT MIN("Mintage") FROM table_10334 WHERE "Year" < '2005' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17864,
3710,
41,
96,
476,
2741,
121,
490,
6,
96,
26163,
121,
1499,
6,
96,
7754,
343,
121,
1499,
6,
96,
12858,
6505,
121,
490,
6,
96,
196,
7,
7,
76,
15,
5312,
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,
3,
17684,
599,
121,
12858,
6505,
8512,
21680,
953,
834,
17864,
3710,
549,
17444,
427,
96,
476,
2741,
121,
3,
2,
3,
31,
22594,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is average age of patients whose admission type is elective and days of hospital stay is 20? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.days_stay = "20" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
9,
26,
5451,
834,
6137,
3274,
96,
3577,
14196,
8087,
121,
3430,
14798,
5,
1135,
7,
834,
21545,
3274,
96,
1755,
121,
1,
-100,
-100,
... |
Who has a larger than 70.99 km2? | CREATE TABLE table_55276 (
"Province" text,
"Comune" text,
"Population (inh.)" real,
"Area (km\u00b2)" real,
"Total (km\u00b2)" real
) | SELECT "Comune" FROM table_55276 WHERE "Total (km\u00b2)" > '70.99' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3769,
357,
3959,
41,
96,
3174,
2494,
565,
121,
1499,
6,
96,
5890,
444,
121,
1499,
6,
96,
27773,
7830,
41,
77,
107,
5,
61,
121,
490,
6,
96,
188,
864,
41,
5848,
2,
76,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
5890,
444,
121,
21680,
953,
834,
3769,
357,
3959,
549,
17444,
427,
96,
3696,
1947,
41,
5848,
2,
76,
1206,
115,
7318,
121,
2490,
3,
31,
2518,
14990,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which round has an Opposing Team of manchester united? | CREATE TABLE table_name_64 (round VARCHAR, opposing_team VARCHAR) | SELECT round FROM table_name_64 WHERE opposing_team = "manchester united" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
7775,
584,
4280,
28027,
6,
10720,
53,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
1751,
65,
46,
4495,
2748,
53,
2271,
13,
388,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1751,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
10720,
53,
834,
11650,
3274,
96,
348,
13263,
18279,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
count the number of patients whose primary disease is stemi and procedure icd9 code is 9755? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "STEMI" AND procedures.icd9_code = "9755" | [
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,
4293,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
which team was the only team that was undefeated ? | CREATE TABLE table_203_654 (
id number,
"position" number,
"team" text,
"points" number,
"played" number,
"won" number,
"drawn" number,
"lost" number,
"for" number,
"against" number,
"difference" number
) | SELECT "team" FROM table_203_654 WHERE "lost" = 0 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
4122,
591,
41,
3,
23,
26,
381,
6,
96,
4718,
121,
381,
6,
96,
11650,
121,
1499,
6,
96,
2700,
7,
121,
381,
6,
96,
4895,
15,
26,
121,
381,
6,
96,
210,
106,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11650,
121,
21680,
953,
834,
23330,
834,
4122,
591,
549,
17444,
427,
96,
2298,
17,
121,
3274,
3,
632,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the home team score when the away team is south melbourne | CREATE TABLE table_name_15 (
home_team VARCHAR,
away_team VARCHAR
) | SELECT home_team AS score FROM table_name_15 WHERE away_team = "south melbourne" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
234,
834,
11650,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
234,
372,
2604,
116,
8,
550,
37... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
234,
834,
11650,
6157,
2604,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
550,
834,
11650,
3274,
96,
7,
670,
107,
3,
2341,
26255,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many cast members had sydney walker as their fresh meat partner? | CREATE TABLE table_26419467_1 (hometown VARCHAR, fresh_meat_partner VARCHAR) | SELECT COUNT(hometown) FROM table_26419467_1 WHERE fresh_meat_partner = "Sydney Walker" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2688,
4853,
4240,
3708,
834,
536,
41,
5515,
3540,
584,
4280,
28027,
6,
1434,
834,
51,
1544,
834,
12300,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
4061,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
5515,
3540,
61,
21680,
953,
834,
2688,
4853,
4240,
3708,
834,
536,
549,
17444,
427,
1434,
834,
51,
1544,
834,
12300,
3274,
96,
134,
63,
26,
3186,
13521,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What award was Trent Tesoro nominated for in 2007? | CREATE TABLE table_71282 (
"Year" real,
"Ceremony" text,
"Result" text,
"Award" text,
"Work" text
) | SELECT "Award" FROM table_71282 WHERE "Result" = 'nominated' AND "Year" = '2007' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4450,
2577,
357,
41,
96,
476,
2741,
121,
490,
6,
96,
254,
49,
15,
21208,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
188,
2239,
121,
1499,
6,
96,
12492,
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,
96,
188,
2239,
121,
21680,
953,
834,
4450,
2577,
357,
549,
17444,
427,
96,
20119,
121,
3274,
3,
31,
3114,
77,
920,
31,
3430,
96,
476,
2741,
121,
3274,
3,
31,
20615,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
In what title did he act in 1940? | CREATE TABLE table_name_65 (
title VARCHAR,
year VARCHAR
) | SELECT title FROM table_name_65 WHERE year = 1940 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
2233,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
86,
125,
2233,
410,
3,
88,
1810,
16,
15830,
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,
2233,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
215,
3274,
15830,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What country was the player from who placed t3 with a score of 70-68=138? | CREATE TABLE table_48692 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
) | SELECT "Country" FROM table_48692 WHERE "Place" = 't3' AND "Score" = '70-68=138' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3707,
3951,
357,
41,
96,
345,
11706,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
3696,
260,
121,
1499,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
10628,
651,
121,
21680,
953,
834,
3707,
3951,
357,
549,
17444,
427,
96,
345,
11706,
121,
3274,
3,
31,
17,
519,
31,
3430,
96,
134,
9022,
121,
3274,
3,
31,
2518,
18,
3651,
2423,
22744,
31,
1,
-100,
-100,
-100,
... |
What is High Points, when Game is less than 10, and when High Assists is 'Chauncey Billups (8)'? | CREATE TABLE table_76273 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "High points" FROM table_76273 WHERE "Game" < '10' AND "High assists" = 'chauncey billups (8)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3959,
2555,
519,
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,
21417,
979,
121,
21680,
953,
834,
3959,
2555,
519,
549,
17444,
427,
96,
23055,
121,
3,
2,
3,
31,
1714,
31,
3430,
96,
21417,
13041,
121,
3274,
3,
31,
3441,
202,
565,
63,
2876,
413,
7,
3,
28007,
31,
1,
-100,
... |
What player has defensive back as the position, with a round less than 2? | CREATE TABLE table_name_19 (
player VARCHAR,
position VARCHAR,
round VARCHAR
) | SELECT player FROM table_name_19 WHERE position = "defensive back" AND round < 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
1959,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
1959,
65,
11976,
223,
38,
8,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
2294,
549,
17444,
427,
1102,
3274,
96,
221,
23039,
15,
223,
121,
3430,
1751,
3,
2,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What City is the Jal hotel in? | CREATE TABLE table_4983 (
"Rank" text,
"Name" text,
"Height m (ft)" text,
"Floors" real,
"Year" real,
"City" text
) | SELECT "City" FROM table_4983 WHERE "Name" = 'jal hotel' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3647,
4591,
41,
96,
22557,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
3845,
2632,
3,
51,
41,
89,
17,
61,
121,
1499,
6,
96,
11251,
127,
7,
121,
490,
6,
96,
476,
2741,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
254,
485,
121,
21680,
953,
834,
3647,
4591,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
1191,
40,
1595,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Name the route number for santa rosa avenue | CREATE TABLE table_28021 (
"Agency" text,
"Route Number" text,
"North/East Terminal" text,
"South/West Terminal" text,
"More Information" text
) | SELECT "Route Number" FROM table_28021 WHERE "North/East Terminal" = 'Santa Rosa Avenue' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17518,
2658,
41,
96,
188,
122,
4392,
121,
1499,
6,
96,
448,
670,
15,
7720,
121,
1499,
6,
96,
22969,
87,
25235,
22181,
121,
1499,
6,
96,
22081,
87,
19069,
22181,
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,
448,
670,
15,
7720,
121,
21680,
953,
834,
17518,
2658,
549,
17444,
427,
96,
22969,
87,
25235,
22181,
121,
3274,
3,
31,
134,
288,
9,
15641,
6916,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the Win % in the Span of 2011–2013 with a Lost of less than 1? | CREATE TABLE table_name_91 (win__percentage INTEGER, span VARCHAR, lost VARCHAR) | SELECT AVG(win__percentage) FROM table_name_91 WHERE span = "2011–2013" AND lost < 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4729,
41,
3757,
834,
834,
883,
3728,
545,
3,
21342,
17966,
6,
8438,
584,
4280,
28027,
6,
1513,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
71,
17217,
599,
3757,
834,
834,
883,
3728,
545,
61,
21680,
953,
834,
4350,
834,
4729,
549,
17444,
427,
8438,
3274,
96,
13907,
104,
11138,
121,
3430,
1513,
3,
2,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Bar chart of acc_percent from each all neutral | CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
Scho... | SELECT All_Neutral, ACC_Percent FROM basketball_match | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8498,
834,
19515,
41,
2271,
834,
4309,
16,
17,
6,
1121,
834,
4309,
16,
17,
6,
2271,
834,
23954,
1499,
6,
3,
14775,
834,
17748,
4885,
834,
134,
15,
9,
739,
1499,
6,
3,
14775,
834,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
432,
834,
26288,
8792,
6,
3,
14775,
834,
12988,
3728,
21680,
8498,
834,
19515,
1,
-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 ministries number when duration is 4 years, 4 days (1,465 days)? | CREATE TABLE table_2454 (
"N\u00ba" real,
"Cabinet (Nickname)" text,
"Took office" text,
"Left office" text,
"Duration" text,
"Coalition parties" text,
"ministers" text,
"ministries" text,
"President" text
) | SELECT "ministries" FROM table_2454 WHERE "Duration" = '4 years, 4 days (1,465 days)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
5062,
41,
96,
567,
2,
76,
1206,
115,
9,
121,
490,
6,
96,
254,
9,
12712,
17,
41,
567,
3142,
4350,
61,
121,
1499,
6,
96,
3696,
1825,
828,
121,
1499,
6,
96,
2796,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7619,
7,
9000,
121,
21680,
953,
834,
2266,
5062,
549,
17444,
427,
96,
12998,
2661,
121,
3274,
3,
31,
591,
203,
6,
314,
477,
4077,
6,
591,
4122,
477,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many players are from Purdue? | CREATE TABLE table_3463 (
"Round #" real,
"Pick #" real,
"NFL Team" text,
"Player" text,
"Position" text,
"College" text
) | SELECT COUNT("Player") FROM table_3463 WHERE "College" = 'Purdue' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3710,
3891,
41,
96,
448,
32,
1106,
1713,
121,
490,
6,
96,
345,
3142,
1713,
121,
490,
6,
96,
12619,
434,
2271,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
15800,
49,
8512,
21680,
953,
834,
3710,
3891,
549,
17444,
427,
96,
9939,
7883,
121,
3274,
3,
31,
345,
450,
1259,
15,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What was Tony Oakey's Rd., Time when he fought against hastings rasani? | CREATE TABLE table_13104 (
"Result" text,
"Opponent" text,
"Type" text,
"Rd., Time" text,
"Date" text
) | SELECT "Rd., Time" FROM table_13104 WHERE "Opponent" = 'hastings rasani' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2368,
15442,
41,
96,
20119,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
25160,
121,
1499,
6,
96,
448,
26,
5,
6,
2900,
121,
1499,
6,
96,
308,
342,
121,
1499,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
448,
26,
5,
6,
2900,
121,
21680,
953,
834,
2368,
15442,
549,
17444,
427,
96,
667,
102,
9977,
121,
3274,
3,
31,
1024,
11026,
7,
28246,
29,
23,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
which wrestler lasted the least amount of time in part two of battle royal ? | CREATE TABLE table_203_277 (
id number,
"entered" number,
"wrestler" text,
"place" text,
"eliminated by" text,
"time" text
) | SELECT "wrestler" FROM table_203_277 ORDER BY "time" LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
357,
4013,
41,
3,
23,
26,
381,
6,
96,
35,
11196,
121,
381,
6,
96,
210,
6216,
1171,
121,
1499,
6,
96,
4687,
121,
1499,
6,
96,
15,
4941,
77,
920,
57,
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,
210,
6216,
1171,
121,
21680,
953,
834,
23330,
834,
357,
4013,
4674,
11300,
272,
476,
96,
715,
121,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many gold medals for bellbrook HS with less than 1 silver? | CREATE TABLE table_71150 (
"Ensemble" text,
"Gold Medals" real,
"Silver Medals" real,
"Bronze Medals" real,
"Total Medals" real
) | SELECT COUNT("Gold Medals") FROM table_71150 WHERE "Ensemble" = 'bellbrook hs' AND "Silver Medals" < '1' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4450,
12278,
41,
96,
8532,
7,
8312,
15,
121,
1499,
6,
96,
23576,
20002,
7,
121,
490,
6,
96,
134,
173,
624,
20002,
7,
121,
490,
6,
96,
22780,
29,
776,
20002,
7,
121,
490... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
23576,
20002,
7,
8512,
21680,
953,
834,
4450,
12278,
549,
17444,
427,
96,
8532,
7,
8312,
15,
121,
3274,
3,
31,
7708,
14370,
3,
107,
7,
31,
3430,
96,
134,
173,
624,
20002,
7,
121,
3,
2,
3,
... |
When was Blackburn Point Bridge built? | CREATE TABLE table_name_55 (built VARCHAR, name VARCHAR) | SELECT built FROM table_name_55 WHERE name = "blackburn point bridge" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3769,
41,
16152,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
47,
1589,
7223,
4564,
6132,
1192,
58,
1,
0,
0,
0,
0,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1192,
21680,
953,
834,
4350,
834,
3769,
549,
17444,
427,
564,
3274,
96,
19699,
7223,
500,
4716,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which tournament has marielle bruens for the opponent in the final? | CREATE TABLE table_name_81 (tournament VARCHAR, opponent_in_the_final VARCHAR) | SELECT tournament FROM table_name_81 WHERE opponent_in_the_final = "marielle bruens" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
17,
1211,
20205,
17,
584,
4280,
28027,
6,
15264,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
5892,
65,
2774... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5892,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
15264,
834,
77,
834,
532,
834,
12406,
3274,
96,
17289,
693,
3,
9052,
35,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the lowest pick number for the Russian Major League? | CREATE TABLE table_54541 (
"Pick #" real,
"Player" text,
"Nationality" text,
"Position" text,
"League from" text
) | SELECT MIN("Pick #") FROM table_54541 WHERE "League from" = 'russian major league' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
2128,
4853,
41,
96,
345,
3142,
1713,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
2796,
9,
5398,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
345,
3142,
1713,
8512,
21680,
953,
834,
755,
2128,
4853,
549,
17444,
427,
96,
2796,
9,
5398,
45,
121,
3274,
3,
31,
26165,
29,
779,
5533,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What record company has robert craft conducting? | CREATE TABLE table_name_32 (
record_company VARCHAR,
conductor VARCHAR
) | SELECT record_company FROM table_name_32 WHERE conductor = "robert craft" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2668,
41,
1368,
834,
29179,
584,
4280,
28027,
6,
3498,
127,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
1368,
349,
65,
3,
5840,
49,
17,
5449,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1368,
834,
29179,
21680,
953,
834,
4350,
834,
2668,
549,
17444,
427,
3498,
127,
3274,
96,
5840,
49,
17,
5449,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the away team's score when the home team scored 16.19 (115)? | CREATE TABLE table_55231 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Away team score" FROM table_55231 WHERE "Home team score" = '16.19 (115)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3769,
357,
3341,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
188,
1343,
372,
2604,
121,
21680,
953,
834,
3769,
357,
3341,
549,
17444,
427,
96,
19040,
372,
2604,
121,
3274,
3,
31,
2938,
5,
2294,
41,
15660,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
calculate the minimum age of male patients who are 55 years old or older than that. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic ... | SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.age >= "55" | [
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,
3,
17684,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
122,
3868,
3274,
96,
329,
121,
3430,
14798,
5,
545,
2490,
2423,
96,
3769,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which Played has a Drawn of 4, and a Position of 9, and Goals Against larger than 59? | CREATE TABLE table_name_70 (played INTEGER, goals_against VARCHAR, drawn VARCHAR, position VARCHAR) | SELECT AVG(played) FROM table_name_70 WHERE drawn = 4 AND position = 9 AND goals_against > 59 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
4895,
15,
26,
3,
21342,
17966,
6,
1766,
834,
9,
16720,
7,
17,
584,
4280,
28027,
6,
6796,
584,
4280,
28027,
6,
1102,
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,
71,
17217,
599,
4895,
15,
26,
61,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
6796,
3274,
314,
3430,
1102,
3274,
668,
3430,
1766,
834,
9,
16720,
7,
17,
2490,
3,
3390,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When included ram (mib) is the model what is the sonnet? | CREATE TABLE table_3002894_4 (
sonnet VARCHAR,
model VARCHAR
) | SELECT sonnet FROM table_3002894_4 WHERE model = "Included RAM (MiB)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
5426,
2577,
4240,
834,
591,
41,
520,
1582,
584,
4280,
28027,
6,
825,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
366,
1285,
3,
2375,
41,
51,
23,
115,
61,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
520,
1582,
21680,
953,
834,
5426,
2577,
4240,
834,
591,
549,
17444,
427,
825,
3274,
96,
1570,
21418,
26,
12118,
41,
329,
23,
279,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the away team score at vfl park? | CREATE TABLE table_10202 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Away team score" FROM table_10202 WHERE "Venue" = 'vfl park' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1714,
19818,
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,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
188,
1343,
372,
2604,
121,
21680,
953,
834,
1714,
19818,
549,
17444,
427,
96,
553,
35,
76,
15,
121,
3274,
3,
31,
208,
89,
40,
2447,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the category of the touchdown atlantic? | CREATE TABLE table_name_76 (
category VARCHAR,
event_name VARCHAR
) | SELECT category FROM table_name_76 WHERE event_name = "touchdown atlantic" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
3295,
584,
4280,
28027,
6,
605,
834,
4350,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3295,
13,
8,
19396,
3,
31767,
58,
1,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3295,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
605,
834,
4350,
3274,
96,
17681,
3035,
3,
31767,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was Parker Moloney's party affiliation when he was the Minister for Markets? | CREATE TABLE table_name_3 (party VARCHAR, minister VARCHAR, title VARCHAR) | SELECT party FROM table_name_3 WHERE minister = "parker moloney" AND title = "minister for markets" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
519,
41,
8071,
584,
4280,
28027,
6,
6323,
584,
4280,
28027,
6,
2233,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
13156,
11019,
782,
63,
31,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1088,
21680,
953,
834,
4350,
834,
519,
549,
17444,
427,
6323,
3274,
96,
6334,
49,
3,
4641,
782,
63,
121,
3430,
2233,
3274,
96,
17791,
21,
3212,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many fast laps are in 6 races with 30 points in the World Series by Nissan? | CREATE TABLE table_name_28 (fast_laps VARCHAR, points VARCHAR, series VARCHAR, races VARCHAR) | SELECT fast_laps FROM table_name_28 WHERE series = "world series by nissan" AND races = "6" AND points = "30" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
11584,
834,
8478,
7,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
6,
939,
584,
4280,
28027,
6,
10879,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
1006,
834,
8478,
7,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
939,
3274,
96,
7276,
939,
57,
3,
29,
159,
7,
152,
121,
3430,
10879,
3274,
96,
948,
121,
3430,
979,
3274,
96,
1458,
121,
1,
-100,
-100,
-100,
... |
In 2010, how many people lived in cities with a population density of 3,965.02? | CREATE TABLE table_23509 (
"No." real,
"Barangay" text,
"Area (in km 2 )" text,
"Rank" real,
"Population (2000)" real,
"Population (2007)" real,
"Population (2010)" real,
"Population Density (2010)" text
) | SELECT "Population (2010)" FROM table_23509 WHERE "Population Density (2010)" = '3,965.02' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25174,
4198,
41,
96,
4168,
535,
490,
6,
96,
14851,
1468,
9,
63,
121,
1499,
6,
96,
188,
864,
41,
77,
2280,
204,
3,
61,
121,
1499,
6,
96,
22557,
121,
490,
6,
96,
27773,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
27773,
7830,
26118,
121,
21680,
953,
834,
25174,
4198,
549,
17444,
427,
96,
27773,
7830,
3128,
7,
485,
26118,
121,
3274,
3,
31,
6355,
4314,
20734,
357,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who played home team at the Arden Street Oval game? | CREATE TABLE table_4480 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Home team" FROM table_4480 WHERE "Venue" = 'arden street oval' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3628,
2079,
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,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
19040,
372,
121,
21680,
953,
834,
3628,
2079,
549,
17444,
427,
96,
553,
35,
76,
15,
121,
3274,
3,
31,
986,
35,
2815,
17986,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
WHat was the score for Phil Mickelson when he placed t3? | CREATE TABLE table_58930 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
) | SELECT "Score" FROM table_58930 WHERE "Place" = 't3' AND "Player" = 'phil mickelson' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
3914,
1458,
41,
96,
345,
11706,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
3696,
260,
121,
1499,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
9022,
121,
21680,
953,
834,
755,
3914,
1458,
549,
17444,
427,
96,
345,
11706,
121,
3274,
3,
31,
17,
519,
31,
3430,
96,
15800,
49,
121,
3274,
3,
31,
18118,
1337,
15259,
739,
31,
1,
-100,
-100,
-100,
-100,
... |
Which School did Player Tyrone Johnson attend? | CREATE TABLE table_name_41 (school VARCHAR, player VARCHAR) | SELECT school FROM table_name_41 WHERE player = "tyrone johnson" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4853,
41,
6646,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
1121,
410,
12387,
24652,
782,
5891,
2467,
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,
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,
496,
21680,
953,
834,
4350,
834,
4853,
549,
17444,
427,
1959,
3274,
96,
17,
63,
52,
782,
3,
27341,
739,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the lowest value for runs when the average is 42.36? | CREATE TABLE table_4247 (
"Year" real,
"Matches" real,
"Innings" real,
"Not out" real,
"Runs" real,
"High Score" text,
"100" real,
"50" real,
"Average" text,
"Strike rate" text,
"Catches/Stumpings" text
) | SELECT MIN("Runs") FROM table_4247 WHERE "Average" = '42.36' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4165,
4177,
41,
96,
476,
2741,
121,
490,
6,
96,
329,
144,
2951,
121,
490,
6,
96,
196,
9416,
7,
121,
490,
6,
96,
10358,
91,
121,
490,
6,
96,
448,
202,
7,
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,
448,
202,
7,
8512,
21680,
953,
834,
4165,
4177,
549,
17444,
427,
96,
188,
624,
545,
121,
3274,
3,
31,
4165,
5,
3420,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was the lowest Position for a Team with fewer than 3 Lost, a Difference of 1, and more than 7 games Played? | CREATE TABLE table_name_43 (
position INTEGER,
played VARCHAR,
lost VARCHAR,
difference VARCHAR
) | SELECT MIN(position) FROM table_name_43 WHERE lost < 3 AND difference = "1" AND played > 7 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4906,
41,
1102,
3,
21342,
17966,
6,
1944,
584,
4280,
28027,
6,
1513,
584,
4280,
28027,
6,
1750,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
4718,
61,
21680,
953,
834,
4350,
834,
4906,
549,
17444,
427,
1513,
3,
2,
220,
3430,
1750,
3274,
96,
536,
121,
3430,
1944,
2490,
489,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what are the four most common procedures for patients with the age 60 or above in 2101? | CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
... | SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age >= 60) AND STRFTIME('%y', treatment.treatmenttime) = '2101' GROUP BY treatment.treatmentname... | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1868,
41,
775,
12417,
1499,
6,
1868,
15878,
3734,
21545,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
7285,
1499,
6,
1246,
1499,
6,
11655,
485,
1499,
6,
2833,
23,
26,
381,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17,
5411,
26889,
4350,
21680,
41,
23143,
14196,
1058,
5,
26889,
4350,
6,
3,
22284,
4132,
834,
16375,
439,
9960,
3,
23288,
41,
2990,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
61,
6157,
3,
75,
536,
... |
What is the lowest number of points of any team with less than 6 draws and less than 18 matches played? | CREATE TABLE table_name_3 (points INTEGER, drawn VARCHAR, played VARCHAR) | SELECT MIN(points) FROM table_name_3 WHERE drawn < 6 AND played < 18 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
519,
41,
2700,
7,
3,
21342,
17966,
6,
6796,
584,
4280,
28027,
6,
1944,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7402,
381,
13,
979,
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,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
519,
549,
17444,
427,
6796,
3,
2,
431,
3430,
1944,
3,
2,
507,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
count the number of patients whose age is less than 68 and drug code is d5w100? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "68" AND prescriptions.formulary_drug_cd = "D5W100" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
What was the attendance for the game at groves stadium winston-salem, nc with a result of L 0-14? | CREATE TABLE table_40996 (
"Date" text,
"Opponent" text,
"Location" text,
"Result" text,
"Attendance" real
) | SELECT COUNT("Attendance") FROM table_40996 WHERE "Location" = 'groves stadium • winston-salem, nc' AND "Result" = 'l 0-14' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2445,
3264,
948,
41,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
188,
17,
324,
26,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
188,
17,
324,
26,
663,
8512,
21680,
953,
834,
2445,
3264,
948,
549,
17444,
427,
96,
434,
32,
75,
257,
121,
3274,
3,
31,
20254,
7,
14939,
1697,
1369,
4411,
18,
7,
9,
109,
51,
6,
3,
29,
75... |
What is the location for the win against Johan Mparmpagiannis? | CREATE TABLE table_name_78 (location VARCHAR, result VARCHAR, opponent VARCHAR) | SELECT location FROM table_name_78 WHERE result = "win" AND opponent = "johan mparmpagiannis" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
14836,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1128,
21,
8,
1369,
581,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1128,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
741,
3274,
96,
3757,
121,
3430,
15264,
3274,
96,
1927,
2618,
3,
51,
1893,
1167,
6623,
14431,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who are the UK co-presenters that have Joe Swash as a co-presenter and Russell Kane as a comedian? | CREATE TABLE table_19282 (
"Series" text,
"Main presenter" text,
"Co-presenter" text,
"Comedian" text,
"UK co-presenter" text
) | SELECT COUNT("UK co-presenter") FROM table_19282 WHERE "Co-presenter" = 'Joe Swash' AND "Comedian" = 'Russell Kane' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19978,
4613,
41,
96,
12106,
7,
121,
1499,
6,
96,
21978,
29,
915,
49,
121,
1499,
6,
96,
3881,
18,
12640,
49,
121,
1499,
6,
96,
5890,
15,
8603,
121,
1499,
6,
96,
15787,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
15787,
576,
18,
12640,
49,
8512,
21680,
953,
834,
19978,
4613,
549,
17444,
427,
96,
3881,
18,
12640,
49,
121,
3274,
3,
31,
683,
32,
15,
180,
14710,
31,
3430,
96,
5890,
15,
8603,
121,
3274,
3... |
what is the director of la ronde | CREATE TABLE table_name_23 (director VARCHAR, original_title VARCHAR) | SELECT director FROM table_name_23 WHERE original_title = "la ronde" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2773,
41,
25982,
584,
4280,
28027,
6,
926,
834,
21869,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
2090,
13,
50,
19033,
15,
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,
2090,
21680,
953,
834,
4350,
834,
2773,
549,
17444,
427,
926,
834,
21869,
3274,
96,
521,
19033,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which venue hosts the Olympic Games for DNQ position? | CREATE TABLE table_name_24 (
venue VARCHAR,
competition VARCHAR,
position VARCHAR
) | SELECT venue FROM table_name_24 WHERE competition = "olympic games" AND position = "dnq" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
5669,
584,
4280,
28027,
6,
2259,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
5669,
9855,
8,
11548,
5880,
21,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
2259,
3274,
96,
32,
120,
51,
6174,
1031,
121,
3430,
1102,
3274,
96,
26,
29,
1824,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is Rank Points, when Event is "WC Milan", and when Shooter is "Lalita Yauhleuskaya ( AUS )"? | CREATE TABLE table_name_77 (rank_points VARCHAR, event VARCHAR, shooter VARCHAR) | SELECT rank_points FROM table_name_77 WHERE event = "wc milan" AND shooter = "lalita yauhleuskaya ( aus )" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4013,
41,
6254,
834,
2700,
7,
584,
4280,
28027,
6,
605,
584,
4280,
28027,
6,
4279,
49,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
3,
22557,
45... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
11003,
834,
2700,
7,
21680,
953,
834,
4350,
834,
4013,
549,
17444,
427,
605,
3274,
96,
210,
75,
1337,
1618,
121,
3430,
4279,
49,
3274,
96,
521,
4250,
9,
3,
63,
402,
107,
109,
302,
18075,
9,
41,
403,
3,
61,
121,
... |
how many won 83 points for? | CREATE TABLE table_20396710_1 (won VARCHAR, points_for VARCHAR) | SELECT won FROM table_20396710_1 WHERE points_for = "83" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1755,
3288,
3708,
1714,
834,
536,
41,
210,
106,
584,
4280,
28027,
6,
979,
834,
1161,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
149,
186,
751,
3,
4591,
979,
21,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
751,
21680,
953,
834,
1755,
3288,
3708,
1714,
834,
536,
549,
17444,
427,
979,
834,
1161,
3274,
96,
4591,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
I want to know the D 49 + for D 42 of d 42 | CREATE TABLE table_57563 (
"D 41 \u221a" text,
"D 42 \u221a" text,
"D 43 \u221a" text,
"D 44 \u221a" text,
"D 45 O" text,
"D 46 O" text,
"D 47 +" text,
"D 48 +" text,
"D 49 +" text,
"D 50 +" text
) | SELECT "D 49 +" FROM table_57563 WHERE "D 42 \u221a" = 'd 42 √' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3436,
4834,
519,
41,
96,
308,
8798,
3,
2,
76,
357,
2658,
9,
121,
1499,
6,
96,
308,
6426,
3,
2,
76,
357,
2658,
9,
121,
1499,
6,
96,
308,
8838,
3,
2,
76,
357,
2658,
9... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
9526,
1768,
121,
21680,
953,
834,
3436,
4834,
519,
549,
17444,
427,
96,
308,
6426,
3,
2,
76,
357,
2658,
9,
121,
3274,
3,
31,
26,
6426,
3,
2,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Give the name of the wine with the highest score. | CREATE TABLE wine (
no number,
grape text,
winery text,
appelation text,
state text,
name text,
year number,
price number,
score number,
cases number,
drink text
)
CREATE TABLE grapes (
id number,
grape text,
color text
)
CREATE TABLE appellations (
no numbe... | SELECT name FROM wine ORDER BY score LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2013,
41,
150,
381,
6,
11457,
1499,
6,
2013,
651,
1499,
6,
8319,
257,
1499,
6,
538,
1499,
6,
564,
1499,
6,
215,
381,
6,
594,
381,
6,
2604,
381,
6,
1488,
381,
6,
3281,
1499,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
564,
21680,
2013,
4674,
11300,
272,
476,
2604,
8729,
12604,
209,
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,
-... |
how many patients posses private insurance and are diagnosed with icd9 code 7140? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.icd9_code = "7140" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
Where is the first season that Anthony Hemingway appears? | CREATE TABLE table_11664625_2 (
no_in_season INTEGER,
directed_by VARCHAR
) | SELECT MIN(no_in_season) FROM table_11664625_2 WHERE directed_by = "Anthony Hemingway" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2596,
3539,
4448,
1828,
834,
357,
41,
150,
834,
77,
834,
9476,
3,
21342,
17966,
6,
6640,
834,
969,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2840,
19,
8,
166,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
29,
32,
834,
77,
834,
9476,
61,
21680,
953,
834,
2596,
3539,
4448,
1828,
834,
357,
549,
17444,
427,
6640,
834,
969,
3274,
96,
188,
29,
189,
106,
63,
216,
51,
53,
1343,
121,
1,
-100,
-100,
-100,
-1... |
Who is the rider with less than 50 final position-tours and less than 11 final position-vuelta before 2008? | CREATE TABLE table_name_50 (rider VARCHAR, year VARCHAR, final_position___tour VARCHAR, final_position___vuelta VARCHAR) | SELECT rider FROM table_name_50 WHERE final_position___tour < 50 AND final_position___vuelta < 11 AND year < 2008 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
4055,
49,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
804,
834,
4718,
834,
834,
834,
17,
1211,
584,
4280,
28027,
6,
804,
834,
4718,
834,
834,
834,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2564,
52,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
804,
834,
4718,
834,
834,
834,
17,
1211,
3,
2,
943,
3430,
804,
834,
4718,
834,
834,
834,
208,
76,
15,
40,
17,
9,
3,
2,
850,
3430,
215,
3,
2,
2628,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.