NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
What player's hometown is Washington, IN? | CREATE TABLE table_name_83 (player VARCHAR, hometown VARCHAR) | SELECT player FROM table_name_83 WHERE hometown = "washington, in" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
20846,
584,
4280,
28027,
6,
22295,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1959,
31,
7,
22295,
19,
2386,
6,
3388,
58,
1,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
22295,
3274,
96,
14710,
6029,
6,
16,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the seats 2006 total with %2001 of 39 and seats 2001 less than 12? | CREATE TABLE table_name_64 (
seats_2006 INTEGER,
_percentage_2001 VARCHAR,
seats_2001 VARCHAR
) | SELECT MAX(seats_2006) FROM table_name_64 WHERE _percentage_2001 = 39 AND seats_2001 < 12 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
6116,
834,
21196,
3,
21342,
17966,
6,
3,
834,
883,
3728,
545,
834,
23658,
584,
4280,
28027,
6,
6116,
834,
23658,
584,
4280,
28027,
3,
61,
3,
32102,
321... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
7,
1544,
7,
834,
21196,
61,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
3,
834,
883,
3728,
545,
834,
23658,
3274,
6352,
3430,
6116,
834,
23658,
3,
2,
586,
1,
-100,
-100,
-100,
-100,
-100,
-100... |
When was the game with a record of 9-3? | CREATE TABLE table_name_65 (date VARCHAR, record VARCHAR) | SELECT date FROM table_name_65 WHERE record = "9-3" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
5522,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
47,
8,
467,
28,
3,
9,
1368,
13,
668,
3486,
58,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
1368,
3274,
96,
1298,
3486,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which reign is the most common among wrestlers? | CREATE TABLE elimination (
elimination_id text,
wrestler_id text,
team text,
eliminated_by text,
elimination_move text,
time text
)
CREATE TABLE wrestler (
wrestler_id number,
name text,
reign text,
days_held text,
location text,
event text
) | SELECT reign FROM wrestler GROUP BY reign ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
23458,
41,
23458,
834,
23,
26,
1499,
6,
26033,
52,
834,
23,
26,
1499,
6,
372,
1499,
6,
17809,
834,
969,
1499,
6,
23458,
834,
7168,
15,
1499,
6,
97,
1499,
3,
61,
3,
32102,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
17367,
21680,
26033,
52,
350,
4630,
6880,
272,
476,
17367,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the pick for the Maryland-Eastern Shore team with a round lower than 2? | CREATE TABLE table_name_70 (
pick INTEGER,
school_club_team VARCHAR,
round VARCHAR
) | SELECT SUM(pick) FROM table_name_70 WHERE school_club_team = "maryland-eastern shore" AND round < 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
1432,
3,
21342,
17966,
6,
496,
834,
13442,
834,
11650,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
17967,
61,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
496,
834,
13442,
834,
11650,
3274,
96,
1635,
28900,
18,
15,
9,
13072,
10433,
121,
3430,
1751,
3,
2,
204,
1,
-100,
-100,
-100,
-100,
-100,... |
What team was 2 on November 22, 2008 when the result was 1-0? | CREATE TABLE table_name_82 (team_2 VARCHAR, date VARCHAR, result VARCHAR) | SELECT team_2 FROM table_name_82 WHERE date = "november 22, 2008" AND result = "1-0" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4613,
41,
11650,
834,
357,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
372,
47,
204,
30,
1671,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
372,
834,
357,
21680,
953,
834,
4350,
834,
4613,
549,
17444,
427,
833,
3274,
96,
5326,
18247,
12889,
2628,
121,
3430,
741,
3274,
96,
18930,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many times was leather introduced before pedal steel guitars in episode 111? | CREATE TABLE table_15187735_9 (segment_c VARCHAR, segment_d VARCHAR) | SELECT COUNT(segment_c) FROM table_15187735_9 WHERE segment_d = "Pedal Steel Guitars" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26578,
27697,
2469,
834,
1298,
41,
7,
15,
122,
297,
834,
75,
584,
4280,
28027,
6,
5508,
834,
26,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
648,
47,
429... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7,
15,
122,
297,
834,
75,
61,
21680,
953,
834,
26578,
27697,
2469,
834,
1298,
549,
17444,
427,
5508,
834,
26,
3274,
96,
25048,
138,
6349,
23176,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which Top-10 has a Cuts made of 10, and a Top-5 larger than 1? | CREATE TABLE table_41699 (
"Tournament" text,
"Wins" real,
"Top-5" real,
"Top-10" real,
"Top-25" real,
"Events" real,
"Cuts made" real
) | SELECT MIN("Top-10") FROM table_41699 WHERE "Cuts made" = '10' AND "Top-5" > '1' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
2938,
3264,
41,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
18455,
7,
121,
490,
6,
96,
22481,
18,
17395,
490,
6,
96,
22481,
4536,
121,
490,
6,
96,
22481,
14855,
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,
3,
17684,
599,
121,
22481,
4536,
8512,
21680,
953,
834,
591,
2938,
3264,
549,
17444,
427,
96,
15784,
17,
7,
263,
121,
3274,
3,
31,
1714,
31,
3430,
96,
22481,
18,
17395,
2490,
3,
31,
536,
31,
1,
-100,
-100,
-100,
... |
Which tournament was held after 1966? | CREATE TABLE table_54245 (
"Year" real,
"Tournament" text,
"Venue" text,
"Result" text,
"Event" text
) | SELECT "Tournament" FROM table_54245 WHERE "Year" > '1966' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
5062,
357,
2128,
41,
96,
476,
2741,
121,
490,
6,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
427,
2169,
121,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
96,
382,
1211,
20205,
17,
121,
21680,
953,
834,
5062,
357,
2128,
549,
17444,
427,
96,
476,
2741,
121,
2490,
3,
31,
2294,
3539,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
give me the number of patients whose diagnoses short title is 31-32 comp wks gestation and lab test fluid is urine? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "31-32 comp wks gestation" AND lab.fluid = "Urine" | [
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,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
3... |
Who is the friend of Zach with longest year relationship? | CREATE TABLE PersonFriend (friend VARCHAR, name VARCHAR, YEAR INTEGER) | SELECT friend FROM PersonFriend WHERE name = 'Zach' AND YEAR = (SELECT MAX(YEAR) FROM PersonFriend WHERE name = 'Zach') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
5780,
17701,
41,
15504,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
6,
30431,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
2645,
19,
8,
1565,
13,
22045,
28,
14783,
215,
1675,
58... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1565,
21680,
5780,
17701,
549,
17444,
427,
564,
3274,
3,
31,
956,
1836,
31,
3430,
30431,
3274,
41,
23143,
14196,
4800,
4,
599,
476,
19356,
61,
21680,
5780,
17701,
549,
17444,
427,
564,
3274,
3,
31,
956,
1836,
31,
61... |
had patient 006-40255 when they came to the hospital last time been allergic to any substance? | 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 COUNT(*) > 0 FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-40255' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospit... | [
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,
2847,
17161,
599,
1935,
61,
2490,
3,
632,
21680,
23886,
549,
17444,
427,
23886,
5,
10061,
15129,
21545,
23,
26,
3388,
41,
23143,
14196,
1868,
5,
10061,
15129,
21545,
23,
26,
21680,
1868,
549,
17444,
427,
1868,
5,
1006... |
Name the highest goals for youth system and ita | CREATE TABLE table_56099 (
"Nat." text,
"Name" text,
"Since" real,
"Goals" real,
"Transfer fee" text
) | SELECT MAX("Goals") FROM table_56099 WHERE "Nat." = 'ita' AND "Transfer fee" = 'youth system' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
3328,
3264,
41,
96,
567,
144,
535,
1499,
6,
96,
23954,
121,
1499,
6,
96,
134,
77,
565,
121,
490,
6,
96,
6221,
5405,
121,
490,
6,
96,
18474,
1010,
2572,
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,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
121,
6221,
5405,
8512,
21680,
953,
834,
755,
3328,
3264,
549,
17444,
427,
96,
567,
144,
535,
3274,
3,
31,
155,
9,
31,
3430,
96,
18474,
1010,
2572,
121,
3274,
3,
31,
4188,
189,
358,
31,
1,
-100,
-10... |
What year was there a Tony award category of Best Revival of a Musical? | CREATE TABLE table_11944 (
"Year" real,
"Award" text,
"Category" text,
"Nominee" text,
"Result" text
) | SELECT "Year" FROM table_11944 WHERE "Award" = 'tony award' AND "Category" = 'best revival of a musical' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19993,
3628,
41,
96,
476,
2741,
121,
490,
6,
96,
188,
2239,
121,
1499,
6,
96,
18610,
6066,
651,
121,
1499,
6,
96,
4168,
8695,
15,
121,
1499,
6,
96,
20119,
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,
476,
2741,
121,
21680,
953,
834,
19993,
3628,
549,
17444,
427,
96,
188,
2239,
121,
3274,
3,
31,
17,
106,
63,
2760,
31,
3430,
96,
18610,
6066,
651,
121,
3274,
3,
31,
9606,
26327,
13,
3,
9,
4183,
31,
1,
-100,
... |
When the name is badnawar, and the reserved for (sc / st /none) of none what is the constituency number? | CREATE TABLE table_13357 (
"Constituency number" text,
"Name" text,
"Reserved for ( SC / ST /None)" text,
"District" text,
"Number of electorates (2009)" real
) | SELECT "Constituency number" FROM table_13357 WHERE "Reserved for ( SC / ST /None)" = 'none' AND "Name" = 'badnawar' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22974,
3436,
41,
96,
4302,
2248,
17,
76,
4392,
381,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
1649,
3473,
15,
26,
21,
41,
6508,
3,
87,
5097,
3,
87,
567,
782,
61,
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,
4302,
2248,
17,
76,
4392,
381,
121,
21680,
953,
834,
22974,
3436,
549,
17444,
427,
96,
1649,
3473,
15,
26,
21,
41,
6508,
3,
87,
5097,
3,
87,
567,
782,
61,
121,
3274,
3,
31,
29,
782,
31,
3430,
96,
23954,
12... |
Who ran unsuccessfully against Bill Hefner? | CREATE TABLE table_1341522_36 (
opponent VARCHAR,
incumbent VARCHAR
) | SELECT opponent FROM table_1341522_36 WHERE incumbent = "Bill Hefner" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
1808,
2884,
834,
3420,
41,
15264,
584,
4280,
28027,
6,
28406,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
4037,
26684,
120,
581,
3259,
216,
89,
687,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15264,
21680,
953,
834,
23747,
1808,
2884,
834,
3420,
549,
17444,
427,
28406,
3274,
96,
279,
1092,
216,
89,
687,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the average Attendance, when Date is 1 October 1998? | CREATE TABLE table_name_28 (attendance INTEGER, date VARCHAR) | SELECT AVG(attendance) FROM table_name_28 WHERE date = "1 october 1998" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
15116,
663,
3,
21342,
17966,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1348,
22497,
663,
6,
116,
7678,
19,
209,
1797,
62... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
71,
17217,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
833,
3274,
96,
536,
3,
32,
75,
235,
1152,
6260,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Give me the times and numbers of all trains that go to Chennai. | CREATE TABLE station (
id int,
network_name text,
services text,
local_authority text
)
CREATE TABLE train (
id int,
train_number int,
name text,
origin text,
destination text,
time text,
interval text
)
CREATE TABLE route (
train_id int,
station_id int
)
CREATE TA... | SELECT time, train_number FROM train WHERE destination = 'Chennai' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2478,
41,
3,
23,
26,
16,
17,
6,
1229,
834,
4350,
1499,
6,
364,
1499,
6,
415,
834,
17415,
485,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
2412,
41,
3,
23,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
97,
6,
2412,
834,
5525,
1152,
21680,
2412,
549,
17444,
427,
3954,
3274,
3,
31,
3541,
35,
29,
9,
23,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many different dates of issue are the for the coin with kumsusan memorial palace on the obverse? | CREATE TABLE table_31381 (
"Value" text,
"Dimensions" text,
"Main Color" text,
"Obverse" text,
"Reverse" text,
"Watermark" text,
"Date of issue" text
) | SELECT COUNT("Date of issue") FROM table_31381 WHERE "Obverse" = 'Kumsusan Memorial Palace' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
2368,
4959,
41,
96,
18392,
76,
15,
121,
1499,
6,
96,
308,
23,
904,
1938,
7,
121,
1499,
6,
96,
21978,
29,
6088,
121,
1499,
6,
96,
667,
115,
7583,
121,
1499,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
308,
342,
13,
962,
8512,
21680,
953,
834,
519,
2368,
4959,
549,
17444,
427,
96,
667,
115,
7583,
121,
3274,
3,
31,
439,
440,
7,
302,
152,
9107,
12530,
31,
1,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Bronze has a Silver of 15, and a Gold smaller than 20? | CREATE TABLE table_name_69 (
bronze INTEGER,
silver VARCHAR,
gold VARCHAR
) | SELECT SUM(bronze) FROM table_name_69 WHERE silver = 15 AND gold < 20 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
13467,
3,
21342,
17966,
6,
4294,
584,
4280,
28027,
6,
2045,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
20841,
65,
3,
9,
5642,
13,
10... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
13711,
776,
61,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
4294,
3274,
627,
3430,
2045,
3,
2,
460,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the last model and its origin ? | CREATE TABLE table_204_430 (
id number,
"model" text,
"origin" text,
"type" text,
"version" text,
"in service" text,
"notes" text
) | SELECT "model", "origin" FROM table_204_430 ORDER BY id DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
25449,
41,
3,
23,
26,
381,
6,
96,
21770,
121,
1499,
6,
96,
32,
3380,
77,
121,
1499,
6,
96,
6137,
121,
1499,
6,
96,
8674,
121,
1499,
6,
96,
77,
313,
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,
21770,
1686,
96,
32,
3380,
77,
121,
21680,
953,
834,
26363,
834,
25449,
4674,
11300,
272,
476,
3,
23,
26,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
count the number of patients whose diagnosis short title is pyelonephritis nos and lab test abnormal status is delta. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Pyelonephritis NOS" AND lab.flag = "delta" | [
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,
3... |
how many patients whose gender is f and diagnoses short title is lap surg convert to open? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Lap surg convert to open" | [
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,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
name the species that has the longest years since divergence from human . | CREATE TABLE table_204_358 (
id number,
"species" text,
"common name" text,
"ncbi accession #" text,
"ncbi name" text,
"length" text,
"sequence identity" text,
"sequence similarity" text,
"years since divergence from human (mya)" number
) | SELECT "species" FROM table_204_358 ORDER BY "years since divergence from human (mya)" DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
519,
3449,
41,
3,
23,
26,
381,
6,
96,
7576,
725,
121,
1499,
6,
96,
287,
2157,
564,
121,
1499,
6,
96,
29,
75,
115,
23,
4991,
1938,
1713,
121,
1499,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
7576,
725,
121,
21680,
953,
834,
26363,
834,
519,
3449,
4674,
11300,
272,
476,
96,
1201,
7,
437,
12355,
122,
1433,
45,
936,
41,
2258,
9,
61,
121,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
... |
What were the official itv ratings in millions for semi-final 5? | CREATE TABLE table_27319183_7 (
official_itv_rating__millions_ VARCHAR,
episode VARCHAR
) | SELECT official_itv_rating__millions_ FROM table_27319183_7 WHERE episode = "Semi-final 5" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
519,
2294,
24361,
834,
940,
41,
2314,
834,
155,
208,
834,
52,
1014,
834,
834,
17030,
7,
834,
584,
4280,
28027,
6,
5640,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
3210... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
2314,
834,
155,
208,
834,
52,
1014,
834,
834,
17030,
7,
834,
21680,
953,
834,
2555,
519,
2294,
24361,
834,
940,
549,
17444,
427,
5640,
3274,
96,
134,
15,
51,
23,
18,
12406,
3,
17395,
1,
-100,
-100,
-100,
-100,
-10... |
Name the height for asko esna | CREATE TABLE table_25058562_2 (
height VARCHAR,
player VARCHAR
) | SELECT height FROM table_25058562_2 WHERE player = "Asko Esna" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
11434,
3449,
4834,
357,
834,
357,
41,
3902,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
3902,
21,
987,
32,
3,
15,
7,
29,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3902,
21680,
953,
834,
11434,
3449,
4834,
357,
834,
357,
549,
17444,
427,
1959,
3274,
96,
188,
17869,
1122,
29,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is the number of patients whose drug code is metl25? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "METL25" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
18730,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
What is the lowest February, when Record is "21-30-11", and when Game is greater than 62? | CREATE TABLE table_name_54 (february INTEGER, record VARCHAR, game VARCHAR) | SELECT MIN(february) FROM table_name_54 WHERE record = "21-30-11" AND game > 62 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5062,
41,
89,
15,
9052,
1208,
3,
21342,
17966,
6,
1368,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7402,
2083,
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,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
89,
15,
9052,
1208,
61,
21680,
953,
834,
4350,
834,
5062,
549,
17444,
427,
1368,
3274,
96,
2658,
10086,
9169,
121,
3430,
467,
2490,
3,
4056,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What rank is He Yingqin who was born before 1890? | CREATE TABLE table_name_75 (
rank INTEGER,
name VARCHAR,
birth VARCHAR
) | SELECT AVG(rank) FROM table_name_75 WHERE name = "he yingqin" AND birth < 1890 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
11003,
3,
21342,
17966,
6,
564,
584,
4280,
28027,
6,
3879,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
11003,
19,
216,
3,
476,
53,
182... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
6254,
61,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
564,
3274,
96,
88,
3,
8149,
1824,
77,
121,
3430,
3879,
3,
2,
507,
2394,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which athlete played at the Birmingham venue? | CREATE TABLE table_name_32 (athlete VARCHAR, venue VARCHAR) | SELECT athlete FROM table_name_32 WHERE venue = "birmingham" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2668,
41,
26170,
15,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
17893,
1944,
44,
8,
15922,
5669,
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,
17893,
21680,
953,
834,
4350,
834,
2668,
549,
17444,
427,
5669,
3274,
96,
8781,
51,
14799,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Return the average price of products that have each category code, and order by the mean product price in asc. | CREATE TABLE Products (
product_id INTEGER,
parent_product_id INTEGER,
product_category_code VARCHAR(20),
date_product_first_available DATETIME,
date_product_discontinued DATETIME,
product_name VARCHAR(80),
product_description VARCHAR(255),
product_price DECIMAL(19,4)
)
CREATE TABLE Com... | SELECT product_category_code, AVG(product_price) FROM Products GROUP BY product_category_code ORDER BY AVG(product_price) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7554,
41,
556,
834,
23,
26,
3,
21342,
17966,
6,
4208,
834,
15892,
834,
23,
26,
3,
21342,
17966,
6,
556,
834,
8367,
839,
651,
834,
4978,
584,
4280,
28027,
599,
1755,
201,
833,
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,
556,
834,
8367,
839,
651,
834,
4978,
6,
71,
17217,
599,
15892,
834,
102,
4920,
61,
21680,
7554,
350,
4630,
6880,
272,
476,
556,
834,
8367,
839,
651,
834,
4978,
4674,
11300,
272,
476,
71,
17217,
599,
15892,
834,
102,... |
What is the largest Rd# for a PI GP greater than 0 and a Reg GP less than 62? | CREATE TABLE table_name_20 (rd__number INTEGER, pl_gp VARCHAR, reg_gp VARCHAR) | SELECT MAX(rd__number) FROM table_name_20 WHERE pl_gp > 0 AND reg_gp < 62 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
52,
26,
834,
834,
5525,
1152,
3,
21342,
17966,
6,
4752,
834,
122,
102,
584,
4280,
28027,
6,
5925,
834,
122,
102,
584,
4280,
28027,
61,
3,
32102,
32103,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
52,
26,
834,
834,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
4752,
834,
122,
102,
2490,
3,
632,
3430,
5925,
834,
122,
102,
3,
2,
3,
4056,
1,
-100,
-100,
-100,
-100,
-100,
-1... |
count the number of patients who are below the age of 76 and their drug code is imdu30. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "76" AND prescriptions.formulary_drug_cd = "IMDU30" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of job_id and the sum of salary , and group by attribute job_id, and rank total number in desc order. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varc... | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(SALARY) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2476,
41,
446,
10539,
834,
4309,
3,
4331,
4059,
599,
16968,
6,
446,
10539,
834,
382,
3177,
3765,
3,
4331,
4059,
599,
2469,
201,
3,
17684,
834,
134,
4090,
24721,
7908,
1982,
599,
11071,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
446,
10539,
834,
4309,
6,
180,
6122,
599,
134,
4090,
24721,
61,
21680,
1652,
549,
17444,
427,
30085,
834,
567,
17683,
8729,
9914,
3,
31,
1454,
308,
1454,
31,
4674,
30085,
834,
567,
17683,
8729,
9914,
3,
31,
1454,
13... |
who is number 98? | CREATE TABLE table_14966667_19 (
name VARCHAR,
number VARCHAR
) | SELECT name FROM table_14966667_19 WHERE number = "98" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2534,
4314,
3539,
3708,
834,
2294,
41,
564,
584,
4280,
28027,
6,
381,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
113,
19,
381,
3,
3916,
58,
1,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
564,
21680,
953,
834,
2534,
4314,
3539,
3708,
834,
2294,
549,
17444,
427,
381,
3274,
96,
3916,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the upper index kcal/nm3 for 62.47 | CREATE TABLE table_1868929_1 (upper_index_kcal__nm_3 VARCHAR, lower_index_mj__nm_3 VARCHAR) | SELECT upper_index_kcal__nm_3 FROM table_1868929_1 WHERE lower_index_mj__nm_3 = "62.47" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25398,
3914,
3166,
834,
536,
41,
15689,
834,
18288,
834,
157,
1489,
834,
834,
29,
51,
834,
519,
584,
4280,
28027,
6,
1364,
834,
18288,
834,
51,
354,
834,
834,
29,
51,
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,
4548,
834,
18288,
834,
157,
1489,
834,
834,
29,
51,
834,
519,
21680,
953,
834,
25398,
3914,
3166,
834,
536,
549,
17444,
427,
1364,
834,
18288,
834,
51,
354,
834,
834,
29,
51,
834,
519,
3274,
96,
4056,
5,
4177,
121... |
Name the production code for viewers for 1.69 | CREATE TABLE table_19229713_4 (production_code VARCHAR, us_viewers__million_ VARCHAR) | SELECT production_code FROM table_19229713_4 WHERE us_viewers__million_ = "1.69" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2294,
2884,
4327,
2368,
834,
591,
41,
20762,
834,
4978,
584,
4280,
28027,
6,
178,
834,
4576,
277,
834,
834,
17030,
834,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
999,
834,
4978,
21680,
953,
834,
2294,
2884,
4327,
2368,
834,
591,
549,
17444,
427,
178,
834,
4576,
277,
834,
834,
17030,
834,
3274,
96,
5411,
3951,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the number of wins when the number of third was 1, points were less than 572 and had less than 16 races? | CREATE TABLE table_name_92 (wins VARCHAR, races VARCHAR, third VARCHAR, points VARCHAR) | SELECT wins FROM table_name_92 WHERE third = "1" AND points < 572 AND races < 16 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4508,
41,
3757,
7,
584,
4280,
28027,
6,
10879,
584,
4280,
28027,
6,
1025,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
9204,
21680,
953,
834,
4350,
834,
4508,
549,
17444,
427,
1025,
3274,
96,
536,
121,
3430,
979,
3,
2,
305,
5865,
3430,
10879,
3,
2,
898,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
until 1 year ago, patient 003-39724 had any allergies? | CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE treatment (
treatmenti... | SELECT COUNT(*) > 0 FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '003-39724')) AND DATETIME(allergy.allergytime) <= DATETIME(CURRENT_TIME(), '-1 y... | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
50,
9824,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
7690,
4350,
1499,
6,
50,
1999,
7,
83,
17,
381,
6,
50,
1999,
7,
83,
17,
715,
97,
3,
61,
3,
32102,
32103,
32102,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
2490,
3,
632,
21680,
23886,
549,
17444,
427,
23886,
5,
10061,
15129,
21545,
23,
26,
3388,
41,
23143,
14196,
1868,
5,
10061,
15129,
21545,
23,
26,
21680,
1868,
549,
17444,
427,
1868,
5,
1006... |
Who got the high rebounds if Brook Lopez (15) earned the high points? | CREATE TABLE table_29731 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "High rebounds" FROM table_29731 WHERE "High points" = 'Brook Lopez (15)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
4327,
3341,
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,
3,
23768,
121,
21680,
953,
834,
357,
4327,
3341,
549,
17444,
427,
96,
21417,
979,
121,
3274,
3,
31,
22780,
1825,
25692,
17251,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Chassis did the Entrant clarke-mordaunt-guthrie-durlacher carry? | CREATE TABLE table_name_57 (
chassis VARCHAR,
entrant VARCHAR
) | SELECT chassis FROM table_name_57 WHERE entrant = "clarke-mordaunt-guthrie-durlacher" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
22836,
584,
4280,
28027,
6,
3,
295,
3569,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
4004,
6500,
7,
410,
8,
4443,
3569,
6860,
1050,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
22836,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
3,
295,
3569,
3274,
96,
23982,
1050,
18,
2528,
26,
9,
202,
17,
18,
1744,
189,
1753,
18,
13629,
521,
1703,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
List the names and birthdays of the top five players in terms of potential. | CREATE TABLE Player_Attributes (player_api_id VARCHAR); CREATE TABLE Player (player_name VARCHAR, birthday VARCHAR, player_api_id VARCHAR) | SELECT DISTINCT T1.player_name, T1.birthday FROM Player AS T1 JOIN Player_Attributes AS T2 ON T1.player_api_id = T2.player_api_id ORDER BY potential DESC LIMIT 5 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
12387,
834,
188,
17,
5135,
1422,
41,
20846,
834,
13306,
834,
23,
26,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
12387,
41,
20846,
834,
4350,
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,
3,
15438,
25424,
6227,
332,
5411,
20846,
834,
4350,
6,
332,
5411,
20663,
1135,
21680,
12387,
6157,
332,
536,
3,
15355,
3162,
12387,
834,
188,
17,
5135,
1422,
6157,
332,
357,
9191,
332,
5411,
20846,
834,
13306,
834,
23... |
What is the name of each aircraft and how many flights does each one complete Show bar chart, list bars from low to high order. | CREATE TABLE employee (
eid number(9,0),
name varchar2(30),
salary number(10,2)
)
CREATE TABLE flight (
flno number(4,0),
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0)
)
CREATE... | SELECT name, COUNT(*) FROM flight AS T1 JOIN aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid ORDER BY name | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3490,
41,
3,
15,
23,
26,
381,
599,
1298,
6,
632,
201,
564,
3,
4331,
4059,
357,
599,
1458,
201,
9090,
381,
599,
1714,
6,
7318,
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,
564,
6,
2847,
17161,
599,
1935,
61,
21680,
3777,
6157,
332,
536,
3,
15355,
3162,
6442,
6157,
332,
357,
9191,
332,
5411,
6146,
3274,
332,
4416,
6146,
350,
4630,
6880,
272,
476,
332,
5411,
6146,
4674,
11300,
272,
476,
... |
how many remittances in 2010 where the remittances is 19.73? | CREATE TABLE table_2941963_1 (
remittances_2010 VARCHAR,
remittances_2009 VARCHAR
) | SELECT COUNT(remittances_2010) FROM table_2941963_1 WHERE remittances_2009 = "19.73" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
4240,
2294,
3891,
834,
536,
41,
3,
60,
1538,
17,
663,
7,
834,
14926,
584,
4280,
28027,
6,
3,
60,
1538,
17,
663,
7,
834,
16660,
584,
4280,
28027,
3,
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,
2847,
17161,
599,
60,
1538,
17,
663,
7,
834,
14926,
61,
21680,
953,
834,
357,
4240,
2294,
3891,
834,
536,
549,
17444,
427,
3,
60,
1538,
17,
663,
7,
834,
16660,
3274,
96,
2294,
5,
4552,
121,
1,
-100,
-100,
-100,
... |
What was the conference when Arizona State won the regular season? | CREATE TABLE table_22779004_1 (conference VARCHAR, regular_season_winner VARCHAR) | SELECT conference FROM table_22779004_1 WHERE regular_season_winner = "Arizona State" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2884,
4013,
7015,
591,
834,
536,
41,
28496,
584,
4280,
28027,
6,
1646,
834,
9476,
834,
3757,
687,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2542,
116,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2542,
21680,
953,
834,
2884,
4013,
7015,
591,
834,
536,
549,
17444,
427,
1646,
834,
9476,
834,
3757,
687,
3274,
96,
188,
13266,
106,
9,
1015,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the dominant religion of srpska crnja | CREATE TABLE table_27867 (
"Settlement" text,
"Cyrillic Name Other Names" text,
"Type" text,
"Population (2011)" real,
"Largest ethnic group (2002)" text,
"Dominant religion (2002)" text
) | SELECT "Dominant religion (2002)" FROM table_27867 WHERE "Settlement" = 'Srpska Crnja' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3940,
3708,
41,
96,
17175,
17,
3335,
121,
1499,
6,
96,
254,
63,
52,
173,
2176,
5570,
2502,
5570,
7,
121,
1499,
6,
96,
25160,
121,
1499,
6,
96,
27773,
7830,
25163,
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,
4135,
1109,
288,
5562,
3,
31444,
121,
21680,
953,
834,
357,
3940,
3708,
549,
17444,
427,
96,
17175,
17,
3335,
121,
3274,
3,
31,
134,
52,
102,
10717,
8427,
29,
1191,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
count the number of patients whose admission location is phys referral/normal deli and item id is 51379? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND lab.itemid = "51379" | [
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,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
What is the average start for the season with $7,220 in winnings? | CREATE TABLE table_20692 (
"Year" real,
"Starts" real,
"Wins" real,
"Top 5" real,
"Top 10" real,
"Poles" real,
"Avg. Start" text,
"Avg. Finish" text,
"Winnings" text,
"Position" text,
"Team(s)" text
) | SELECT "Avg. Start" FROM table_20692 WHERE "Winnings" = '$7,220' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24643,
4508,
41,
96,
476,
2741,
121,
490,
6,
96,
7681,
17,
7,
121,
490,
6,
96,
18455,
7,
121,
490,
6,
96,
22481,
3,
17395,
490,
6,
96,
22481,
335,
121,
490,
6,
96,
89... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
208,
122,
5,
3273,
121,
21680,
953,
834,
24643,
4508,
549,
17444,
427,
96,
518,
10503,
7,
121,
3274,
3,
31,
3229,
940,
6,
357,
1755,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What are all the characteristic names of product "sesame"? | CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, characteristic_id VARCHAR); CREATE TABLE products (product_id VARCHAR, product_name VARCHAR); CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR) | SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3,
28027,
5173,
5946,
13582,
21202,
41,
31886,
3040,
834,
4350,
584,
4280,
28027,
6,
16115,
834,
23,
26,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
494,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5787,
31886,
3040,
834,
4350,
21680,
494,
6157,
3,
17,
536,
3,
15355,
3162,
556,
834,
31886,
3040,
7,
6157,
3,
17,
357,
9191,
3,
17,
5411,
15892,
834,
23,
26,
3274,
3,
17,
4416,
15892,
834,
23,
26,
3,
1... |
Visualize a line chart that bins the open date into the Year interval and counts them, and could you sort X-axis in descending order? | CREATE TABLE wedding (
Church_ID int,
Male_ID int,
Female_ID int,
Year int
)
CREATE TABLE people (
People_ID int,
Name text,
Country text,
Is_Male text,
Age int
)
CREATE TABLE church (
Church_ID int,
Name text,
Organized_by text,
Open_Date int,
Continuation_of t... | SELECT Open_Date, COUNT(Open_Date) FROM church ORDER BY Open_Date DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1683,
41,
2345,
834,
4309,
16,
17,
6,
17830,
834,
4309,
16,
17,
6,
27144,
834,
4309,
16,
17,
6,
2929,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
151,
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,
2384,
834,
308,
342,
6,
2847,
17161,
599,
22696,
834,
308,
342,
61,
21680,
2078,
4674,
11300,
272,
476,
2384,
834,
308,
342,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
excessive alcohol intake | CREATE TABLE table_dev_25 (
"id" int,
"gender" string,
"pregnancy_or_lactation" bool,
"systolic_blood_pressure_sbp" int,
"hemoglobin_a1c_hba1c" float,
"diastolic_blood_pressure_dbp" int,
"alcohol_abuse" bool,
"hypertension" bool,
"NOUSE" float
) | SELECT * FROM table_dev_25 WHERE alcohol_abuse = 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9776,
834,
1828,
41,
96,
23,
26,
121,
16,
17,
6,
96,
122,
3868,
121,
6108,
6,
96,
2026,
11260,
11298,
834,
127,
834,
9700,
6821,
121,
3,
12840,
40,
6,
96,
7,
63,
7,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1429,
21680,
953,
834,
9776,
834,
1828,
549,
17444,
427,
4798,
834,
9,
3465,
15,
3274,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the total of articles for this chart | CREATE TABLE table_204_843 (
id number,
"volume" number,
"year" text,
"names" text,
"articles" number,
"pages" number,
"images" number,
"maps" number,
"number of copies" number
) | SELECT SUM("articles") FROM table_204_843 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
4608,
519,
41,
3,
23,
26,
381,
6,
96,
23439,
121,
381,
6,
96,
1201,
121,
1499,
6,
96,
4350,
7,
121,
1499,
6,
96,
8372,
7,
121,
381,
6,
96,
6492,
7,
121,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
121,
8372,
7,
8512,
21680,
953,
834,
26363,
834,
4608,
519,
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 competition ended with a score of 38-14? | CREATE TABLE table_13328239_4 (
competition VARCHAR,
score VARCHAR
) | SELECT competition FROM table_13328239_4 WHERE score = "38-14" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22974,
2577,
357,
3288,
834,
591,
41,
2259,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
2259,
3492,
28,
3,
9,
2604,
13,
6654,
11... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2259,
21680,
953,
834,
22974,
2577,
357,
3288,
834,
591,
549,
17444,
427,
2604,
3274,
96,
3747,
11590,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the result of the game played on May 5? | CREATE TABLE table_name_5 (
result VARCHAR,
date VARCHAR
) | SELECT result FROM table_name_5 WHERE date = "may 5" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
755,
41,
741,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
741,
13,
8,
467,
1944,
30,
932,
305,
58,
1,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
741,
21680,
953,
834,
4350,
834,
755,
549,
17444,
427,
833,
3274,
96,
13726,
3,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What driver has grid number 18? | CREATE TABLE table_name_98 (driver VARCHAR, grid VARCHAR) | SELECT driver FROM table_name_98 WHERE grid = 18 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
13739,
52,
584,
4280,
28027,
6,
8634,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
2535,
65,
8634,
381,
507,
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,
2535,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
8634,
3274,
507,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the original air date for episode 17 in the season? | CREATE TABLE table_1245 (
"No. in season" real,
"No. disc" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text
) | SELECT "Original air date" FROM table_1245 WHERE "No. in season" = '17' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2122,
2128,
41,
96,
4168,
5,
16,
774,
121,
490,
6,
96,
4168,
5,
5025,
121,
490,
6,
96,
382,
155,
109,
121,
1499,
6,
96,
23620,
15,
26,
57,
121,
1499,
6,
96,
24965,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
667,
3380,
10270,
799,
833,
121,
21680,
953,
834,
2122,
2128,
549,
17444,
427,
96,
4168,
5,
16,
774,
121,
3274,
3,
31,
2517,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Quantity has a Type of e h4v, and a Year(s) of Manufacture of 1920 1924? | CREATE TABLE table_name_87 (
quantity INTEGER,
type VARCHAR,
year_s__of_manufacture VARCHAR
) | SELECT MIN(quantity) FROM table_name_87 WHERE type = "e h4v" AND year_s__of_manufacture = "1920–1924" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4225,
41,
8708,
3,
21342,
17966,
6,
686,
584,
4280,
28027,
6,
215,
834,
7,
834,
834,
858,
834,
348,
76,
8717,
1462,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
13158,
485,
61,
21680,
953,
834,
4350,
834,
4225,
549,
17444,
427,
686,
3274,
96,
15,
3,
107,
591,
208,
121,
3430,
215,
834,
7,
834,
834,
858,
834,
348,
76,
8717,
1462,
3274,
96,
2294,
1755,
104,
... |
What is Year (Ceremony), when Director is 'Farid Gumbatov Category:Articles With hCards'? | CREATE TABLE table_47580 (
"Year (Ceremony)" text,
"Film title used in nomination" text,
"Original title" text,
"Primary Language(s)" text,
"Director" text,
"Result" text
) | SELECT "Year (Ceremony)" FROM table_47580 WHERE "Director" = 'farid gumbatov category:articles with hcards' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3072,
2079,
41,
96,
476,
2741,
41,
254,
49,
15,
21208,
61,
121,
1499,
6,
96,
371,
173,
51,
2233,
261,
16,
13588,
121,
1499,
6,
96,
667,
3380,
10270,
2233,
121,
1499,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
476,
2741,
41,
254,
49,
15,
21208,
61,
121,
21680,
953,
834,
591,
3072,
2079,
549,
17444,
427,
96,
23620,
127,
121,
3274,
3,
31,
89,
9,
4055,
11406,
3697,
32,
208,
3295,
10,
8372,
7,
28,
3,
107,
6043,
7,
3... |
What is total amount claimed summed across all the claims? | CREATE TABLE claims (
claim_id number,
policy_id number,
date_claim_made time,
date_claim_settled time,
amount_claimed number,
amount_settled number
)
CREATE TABLE customers (
customer_id number,
customer_details text
)
CREATE TABLE payments (
payment_id number,
settlement_id n... | SELECT SUM(amount_claimed) FROM claims | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3213,
41,
1988,
834,
23,
26,
381,
6,
1291,
834,
23,
26,
381,
6,
833,
834,
15085,
834,
4725,
97,
6,
833,
834,
15085,
834,
2244,
17,
1361,
97,
6,
866,
834,
20471,
381,
6,
866,
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,
180,
6122,
599,
9,
11231,
834,
20471,
61,
21680,
3213,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which Year has a Binibining Pilipinas International of alma concepcion? | CREATE TABLE table_name_54 (year VARCHAR, binibining_pilipinas_international VARCHAR) | SELECT year FROM table_name_54 WHERE binibining_pilipinas_international = "alma concepcion" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5062,
41,
1201,
584,
4280,
28027,
6,
2701,
23,
4517,
53,
834,
102,
173,
23,
3180,
9,
7,
834,
27817,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
29... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
215,
21680,
953,
834,
4350,
834,
5062,
549,
17444,
427,
2701,
23,
4517,
53,
834,
102,
173,
23,
3180,
9,
7,
834,
27817,
3274,
96,
138,
51,
9,
3,
11620,
102,
20013,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Visualize the average experience working length of journalists working on different role type using a bar chart, and display from low to high by the total number. | CREATE TABLE news_report (
journalist_ID int,
Event_ID int,
Work_Type text
)
CREATE TABLE event (
Event_ID int,
Date text,
Venue text,
Name text,
Event_Attendance int
)
CREATE TABLE journalist (
journalist_ID int,
Name text,
Nationality text,
Age text,
Years_working... | SELECT Work_Type, AVG(Years_working) FROM journalist AS t1 JOIN news_report AS t2 ON t1.journalist_ID = t2.journalist_ID GROUP BY t2.Work_Type ORDER BY AVG(Years_working) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1506,
834,
60,
1493,
41,
9994,
834,
4309,
16,
17,
6,
8042,
834,
4309,
16,
17,
6,
3118,
834,
25160,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
605,
41,
8042,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3118,
834,
25160,
6,
71,
17217,
599,
476,
2741,
7,
834,
9238,
61,
21680,
9994,
6157,
3,
17,
536,
3,
15355,
3162,
1506,
834,
60,
1493,
6157,
3,
17,
357,
9191,
3,
17,
5411,
25340,
343,
834,
4309,
3274,
3,
17,
4416... |
What is the venue where the melbourne tigers play their home games? | CREATE TABLE table_name_26 (venue VARCHAR, home_team VARCHAR) | SELECT venue FROM table_name_26 WHERE home_team = "melbourne tigers" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2688,
41,
15098,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
5669,
213,
8,
3,
2341,
26255,
3,
2880,
27... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5669,
21680,
953,
834,
4350,
834,
2688,
549,
17444,
427,
234,
834,
11650,
3274,
96,
2341,
26255,
3,
2880,
277,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the total of deaths in internment camps and during the wartime flight ? | CREATE TABLE table_203_234 (
id number,
"description" text,
"total" number,
"poland" number,
"baltic states(resettled in poland during war)" number,
"resettled in poland during war(from ussr and romania)" number,
"sudetendeutsch" number,
"se europe\n(hungary, romania, yugoslavia & slovak... | SELECT SUM("total") FROM table_203_234 WHERE "description" IN ('in internment camps', 'during the wartime flight') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
357,
3710,
41,
3,
23,
26,
381,
6,
96,
221,
11830,
121,
1499,
6,
96,
235,
1947,
121,
381,
6,
96,
3233,
232,
121,
381,
6,
96,
3849,
1225,
2315,
599,
60,
2244,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
121,
235,
1947,
8512,
21680,
953,
834,
23330,
834,
357,
3710,
549,
17444,
427,
96,
221,
11830,
121,
3388,
41,
31,
77,
9342,
297,
15926,
31,
6,
3,
31,
26,
7920,
8,
615,
715,
3777,
31,
61,
1,
-100,... |
What is the smallest total for a nation with more than 1 silver? | CREATE TABLE table_name_75 (
total INTEGER,
silver INTEGER
) | SELECT MIN(total) FROM table_name_75 WHERE silver > 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
792,
3,
21342,
17966,
6,
4294,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3,
17924,
792,
21,
3,
9,
2982,
28,
72,
145,
209,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
235,
1947,
61,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
4294,
2490,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who is the constituency when the runner-up was d. Venugopal? | CREATE TABLE table_25284 (
"Constituency" text,
"Winner" text,
"Party" text,
"Margin" real,
"Runner-up a" text,
"Party a" text
) | SELECT "Constituency" FROM table_25284 WHERE "Runner-up a" = 'D. Venugopal' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1828,
357,
4608,
41,
96,
4302,
2248,
17,
76,
4392,
121,
1499,
6,
96,
18455,
687,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
7286,
122,
77,
121,
490,
6,
96,
23572,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4302,
2248,
17,
76,
4392,
121,
21680,
953,
834,
1828,
357,
4608,
549,
17444,
427,
96,
23572,
18,
413,
3,
9,
121,
3274,
3,
31,
308,
5,
7281,
76,
839,
6459,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What number of Fatalities did the Epicenter M zandar n have? | CREATE TABLE table_32291 (
"Date" text,
"Time" text,
"Epicenter" text,
"Magnitude" text,
"Fatalities" text,
"Name" text
) | SELECT "Fatalities" FROM table_32291 WHERE "Epicenter" = 'māzandarān' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2668,
357,
4729,
41,
96,
308,
342,
121,
1499,
6,
96,
13368,
121,
1499,
6,
96,
427,
102,
23,
13866,
121,
1499,
6,
96,
22909,
29,
20341,
121,
1499,
6,
96,
371,
9,
1947,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
371,
9,
1947,
2197,
121,
21680,
953,
834,
2668,
357,
4729,
549,
17444,
427,
96,
427,
102,
23,
13866,
121,
3274,
3,
31,
51,
2,
10241,
3439,
2,
29,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
I want to see trend the number of season over season by Home_team, and order by the X-axis from high to low. | CREATE TABLE game (
stadium_id int,
id int,
Season int,
Date text,
Home_team text,
Away_team text,
Score text,
Competition text
)
CREATE TABLE injury_accident (
game_id int,
id int,
Player text,
Injury text,
Number_of_matches text,
Source text
)
CREATE TABLE sta... | SELECT Season, COUNT(Season) FROM game GROUP BY Home_team, Season ORDER BY Season DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
467,
41,
14939,
834,
23,
26,
16,
17,
6,
3,
23,
26,
16,
17,
6,
7960,
16,
17,
6,
7678,
1499,
6,
1210,
834,
11650,
1499,
6,
71,
1343,
834,
11650,
1499,
6,
17763,
1499,
6,
15571,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
7960,
6,
2847,
17161,
599,
134,
15,
9,
739,
61,
21680,
467,
350,
4630,
6880,
272,
476,
1210,
834,
11650,
6,
7960,
4674,
11300,
272,
476,
7960,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
who was the first death in the republican party ? | CREATE TABLE table_204_145 (
id number,
"representative" text,
"state" text,
"district(s)" text,
"served" text,
"party" text,
"date of birth" text,
"date of death" text,
"age" text
) | SELECT "representative" FROM table_204_145 WHERE "party" = 'republican' ORDER BY "date of death" LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
20987,
41,
3,
23,
26,
381,
6,
96,
60,
12640,
1528,
121,
1499,
6,
96,
5540,
121,
1499,
6,
96,
26,
23,
20066,
599,
7,
61,
121,
1499,
6,
96,
3473,
15,
26,
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,
60,
12640,
1528,
121,
21680,
953,
834,
26363,
834,
20987,
549,
17444,
427,
96,
8071,
121,
3274,
3,
31,
60,
15727,
152,
31,
4674,
11300,
272,
476,
96,
5522,
13,
1687,
121,
8729,
12604,
209,
1,
-100,
-100,
-100,
... |
What is the final score of the game on April 9? | CREATE TABLE table_23248967_10 (
score VARCHAR,
date VARCHAR
) | SELECT score FROM table_23248967_10 WHERE date = "April 9" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
2266,
3914,
3708,
834,
1714,
41,
2604,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
804,
2604,
13,
8,
467,
30,
1186,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
2773,
2266,
3914,
3708,
834,
1714,
549,
17444,
427,
833,
3274,
96,
23323,
668,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the record where the opponent was @ Orioles and the loss was to Leal (5-4)? | CREATE TABLE table_name_5 (record VARCHAR, opponent VARCHAR, loss VARCHAR) | SELECT record FROM table_name_5 WHERE opponent = "@ orioles" AND loss = "leal (5-4)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
755,
41,
60,
7621,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
6,
1453,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
1368,
213,
8,
15264,
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,
0,
0,
0,
0... | [
3,
23143,
14196,
1368,
21680,
953,
834,
4350,
834,
755,
549,
17444,
427,
15264,
3274,
96,
1741,
5322,
32,
965,
121,
3430,
1453,
3274,
96,
109,
138,
9209,
18,
7256,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the high lap total for pedro diniz? | CREATE TABLE table_77802 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
) | SELECT MAX("Laps") FROM table_77802 WHERE "Driver" = 'pedro diniz' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4013,
2079,
357,
41,
96,
20982,
52,
121,
1499,
6,
96,
4302,
7593,
127,
121,
1499,
6,
96,
3612,
102,
7,
121,
490,
6,
96,
13368,
87,
1649,
11809,
26,
121,
1499,
6,
96,
13... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
3612,
102,
7,
8512,
21680,
953,
834,
4013,
2079,
357,
549,
17444,
427,
96,
20982,
52,
121,
3274,
3,
31,
3138,
52,
32,
176,
23,
172,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the 2nd leg where the team 2 was budoni (sardinia)? | CREATE TABLE table_53757 (
"Team 1" text,
"Agg." text,
"Team 2" text,
"1st leg" text,
"2nd leg" text
) | SELECT "2nd leg" FROM table_53757 WHERE "Team 2" = 'budoni (sardinia)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
4118,
3436,
41,
96,
18699,
209,
121,
1499,
6,
96,
188,
4102,
535,
1499,
6,
96,
18699,
204,
121,
1499,
6,
96,
536,
7,
17,
4553,
121,
1499,
6,
96,
357,
727,
4553,
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,
357,
727,
4553,
121,
21680,
953,
834,
755,
4118,
3436,
549,
17444,
427,
96,
18699,
204,
121,
3274,
3,
31,
11073,
106,
23,
41,
7,
986,
77,
23,
9,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which 2008 has a 2009 of A, and a 2010 of A, and a 2012 of 1r, and a Tournament of cincinnati masters? | CREATE TABLE table_6698 (
"Tournament" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text
) | SELECT "2008" FROM table_6698 WHERE "2009" = 'a' AND "2010" = 'a' AND "2012" = '1r' AND "Tournament" = 'cincinnati masters' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3539,
3916,
41,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
16128,
121,
1499,
6,
96,
16660,
121,
1499,
6,
96,
14926,
121,
1499,
6,
96,
13907,
121,
1499,
6,
96,
12172,
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,
16128,
121,
21680,
953,
834,
3539,
3916,
549,
17444,
427,
96,
16660,
121,
3274,
3,
31,
9,
31,
3430,
96,
14926,
121,
3274,
3,
31,
9,
31,
3430,
96,
12172,
121,
3274,
3,
31,
536,
52,
31,
3430,
96,
382,
1211,
... |
How many millions of total viewers watched series #57? | CREATE TABLE table_17658 (
"Series #" real,
"Season #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Total viewers (in millions)" text
) | SELECT COUNT("Total viewers (in millions)") FROM table_17658 WHERE "Series #" = '57' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26782,
3449,
41,
96,
12106,
7,
1713,
121,
490,
6,
96,
134,
15,
9,
739,
1713,
121,
490,
6,
96,
382,
155,
109,
121,
1499,
6,
96,
23620,
15,
26,
57,
121,
1499,
6,
96,
24... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
3696,
1947,
13569,
41,
77,
4040,
61,
8512,
21680,
953,
834,
26782,
3449,
549,
17444,
427,
96,
12106,
7,
1713,
121,
3274,
3,
31,
3436,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
When the Home team of carlton played, what was their score? | CREATE TABLE table_name_93 (home_team VARCHAR) | SELECT home_team AS score FROM table_name_93 WHERE home_team = "carlton" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
5515,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
8,
1210,
372,
13,
443,
7377,
1944,
6,
125,
47,
70,
2604,
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,
234,
834,
11650,
6157,
2604,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
234,
834,
11650,
3274,
96,
1720,
7377,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When the Runner-up was Angaston, and the Year was less than 1927, who was the Captain? | CREATE TABLE table_name_61 (
captain VARCHAR,
year VARCHAR,
runner_up VARCHAR
) | SELECT captain FROM table_name_61 WHERE year < 1927 AND runner_up = "angaston" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
14268,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
3,
10806,
834,
413,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
366,
8,
3,
23572,
18,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
14268,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
215,
3,
2,
957,
2555,
3430,
3,
10806,
834,
413,
3274,
96,
1468,
9,
4411,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What was the earliest year that Yvette Alexander took office and was up for reelection after 2016? | CREATE TABLE table_71476 (
"Name" text,
"Position" text,
"Party" text,
"Took office" real,
"Up for reelection" real
) | SELECT MIN("Took office") FROM table_71476 WHERE "Name" = 'yvette alexander' AND "Up for reelection" > '2016' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
2534,
3959,
41,
96,
23954,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
3696,
1825,
828,
121,
490,
6,
96,
11161,
21,
3,
60,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
121,
3696,
1825,
828,
8512,
21680,
953,
834,
940,
2534,
3959,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
63,
19828,
1240,
226,
11849,
31,
3430,
96,
11161,
21,
3,
60,
15,
12252,
121,
2490,
3,
31,
... |
What place had a To par of 10? | CREATE TABLE table_name_28 (
place VARCHAR,
to_par VARCHAR
) | SELECT place FROM table_name_28 WHERE to_par = "–10" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
286,
584,
4280,
28027,
6,
12,
834,
1893,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
286,
141,
3,
9,
304,
260,
13,
335,
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,
286,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
12,
834,
1893,
3274,
96,
104,
1714,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Who was the opponent for the 2003 davis cup europe/africa group ii? | CREATE TABLE table_9620 (
"Edition" text,
"Round" text,
"Date" text,
"Against" text,
"Surface" text,
"Opponent" text,
"Result" text
) | SELECT "Opponent" FROM table_9620 WHERE "Edition" = '2003 davis cup europe/africa group ii' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4314,
1755,
41,
96,
427,
10569,
121,
1499,
6,
96,
448,
32,
1106,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
20749,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
667,
102,
9977,
121,
21680,
953,
834,
4314,
1755,
549,
17444,
427,
96,
427,
10569,
121,
3274,
3,
31,
23948,
836,
3466,
4119,
3,
28188,
87,
9,
89,
2234,
9,
563,
3,
23,
23,
31,
1,
-100,
-100,
-100,
-100,
-100,... |
What is Group Song, when Song is ? | CREATE TABLE table_40381 (
"Index" text,
"Name" text,
"Song" text,
"Group Song" text,
"Score" text
) | SELECT "Group Song" FROM table_40381 WHERE "Song" = '换季' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2445,
3747,
536,
41,
96,
26267,
226,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
134,
2444,
121,
1499,
6,
96,
27247,
11263,
121,
1499,
6,
96,
134,
9022,
121,
1499,
3,
61,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
96,
27247,
11263,
121,
21680,
953,
834,
2445,
3747,
536,
549,
17444,
427,
96,
134,
2444,
121,
3274,
3,
31,
2,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
On what date did the person who died on March 23, 1824 leave office? | CREATE TABLE table_8045 (
"Name" text,
"Death" text,
"Assumed Office" text,
"Left Office" text,
"Years in office" text,
"Monarch" text
) | SELECT "Left Office" FROM table_8045 WHERE "Death" = 'march 23, 1824' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2079,
2128,
41,
96,
23954,
121,
1499,
6,
96,
2962,
9,
189,
121,
1499,
6,
96,
188,
7,
4078,
15,
26,
2126,
121,
1499,
6,
96,
2796,
89,
17,
2126,
121,
1499,
6,
96,
476,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
2796,
89,
17,
2126,
121,
21680,
953,
834,
2079,
2128,
549,
17444,
427,
96,
2962,
9,
189,
121,
3274,
3,
31,
51,
7064,
12992,
507,
2266,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which patients had a wbc joint fluid lab test? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "WBC, Joint Fluid" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
For those employees who do not work in departments with managers that have ids between 100 and 200, find email and commission_pct , and visualize them by a bar chart, show by the Y in desc. | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decima... | SELECT EMAIL, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY COMMISSION_PCT DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3248,
41,
301,
5618,
8015,
834,
4309,
7908,
1982,
599,
8525,
632,
201,
3,
13733,
26418,
834,
24604,
12200,
134,
3,
4331,
4059,
599,
2445,
201,
3,
16034,
16359,
834,
5911,
5596,
3,
4331... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
20211,
3502,
6,
3,
6657,
329,
16994,
9215,
834,
4051,
382,
21680,
1652,
549,
17444,
427,
4486,
3396,
19846,
11810,
834,
4309,
3388,
41,
23143,
14196,
3396,
19846,
11810,
834,
4309,
21680,
10521,
549,
17444,
427,
283,... |
At what Location was Miss World 2009? | CREATE TABLE table_38213 (
"Year" real,
"Country/Territory" text,
"Miss World" text,
"National title" text,
"Location" text
) | SELECT "Location" FROM table_38213 WHERE "Year" = '2009' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3747,
357,
2368,
41,
96,
476,
2741,
121,
490,
6,
96,
10628,
651,
87,
382,
21301,
10972,
121,
1499,
6,
96,
329,
159,
7,
1150,
121,
1499,
6,
96,
24732,
2233,
121,
1499,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
32,
75,
257,
121,
21680,
953,
834,
3747,
357,
2368,
549,
17444,
427,
96,
476,
2741,
121,
3274,
3,
31,
16660,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the type of lithium when rubidium is nabr (1.9)? | CREATE TABLE table_70783 (
"Lithium" text,
"Sodium" text,
"Potassium" text,
"Rubidium" text,
"Caesium" text
) | SELECT "Lithium" FROM table_70783 WHERE "Rubidium" = 'nabr (1.9)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2518,
3940,
519,
41,
96,
434,
23,
189,
2552,
121,
1499,
6,
96,
28637,
121,
1499,
6,
96,
345,
32,
17,
6500,
440,
121,
1499,
6,
96,
448,
8371,
12925,
121,
1499,
6,
96,
25... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
23,
189,
2552,
121,
21680,
953,
834,
2518,
3940,
519,
549,
17444,
427,
96,
448,
8371,
12925,
121,
3274,
3,
31,
29,
9,
115,
52,
41,
22493,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what was the last term year represented in the chart ? | CREATE TABLE table_204_699 (
id number,
"district" text,
"name" text,
"party" text,
"residence" text,
"first served" number
) | SELECT MAX("first served") FROM table_204_699 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
948,
3264,
41,
3,
23,
26,
381,
6,
96,
26,
23,
20066,
121,
1499,
6,
96,
4350,
121,
1499,
6,
96,
8071,
121,
1499,
6,
96,
60,
1583,
3772,
121,
1499,
6,
96,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
14672,
2098,
8512,
21680,
953,
834,
26363,
834,
948,
3264,
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 set 2 has 15:33 as the time? | CREATE TABLE table_name_14 (set_2 VARCHAR, time VARCHAR) | SELECT set_2 FROM table_name_14 WHERE time = "15:33" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2534,
41,
2244,
834,
357,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
356,
204,
65,
627,
10,
4201,
38,
8,
97,
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,
356,
834,
357,
21680,
953,
834,
4350,
834,
2534,
549,
17444,
427,
97,
3274,
96,
1808,
10,
4201,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What are the different ids and names of the stations that have had more than 12 bikes available Plot them as bar chart, display total number in desc order. | CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE station (
id INTEG... | SELECT name, id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12 ORDER BY id DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1469,
41,
3,
23,
26,
3,
21342,
17966,
6,
8659,
3,
21342,
17966,
6,
456,
834,
5522,
3,
3463,
4,
382,
6,
456,
834,
6682,
834,
4350,
3,
3463,
4,
382,
6,
456,
834,
6682,
834,
23,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
564,
6,
3,
23,
26,
21680,
2478,
6157,
332,
536,
3,
15355,
3162,
2637,
6157,
332,
357,
9191,
332,
5411,
23,
26,
3274,
332,
4416,
6682,
834,
23,
26,
549,
17444,
427,
332,
4416,
15214,
7,
834,
28843,
2490,
586,
4674,... |
On what day was Game 48 played? | CREATE TABLE table_name_39 (date VARCHAR, game VARCHAR) | SELECT date FROM table_name_39 WHERE game = 48 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
5522,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
461,
125,
239,
47,
4435,
4678,
1944,
58,
1,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
467,
3274,
4678,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What type of surface was played on when julie halard-decugis was the partner on October 8, 2000? | CREATE TABLE table_name_88 (surface VARCHAR, partner VARCHAR, date VARCHAR) | SELECT surface FROM table_name_88 WHERE partner = "julie halard-decugis" AND date = "october 8, 2000" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4060,
41,
26899,
584,
4280,
28027,
6,
2397,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
686,
13,
1774,
47,
1944,
30,
116,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
1774,
21680,
953,
834,
4350,
834,
4060,
549,
17444,
427,
2397,
3274,
96,
2047,
1896,
3,
3828,
986,
18,
221,
75,
25297,
7,
121,
3430,
833,
3274,
96,
32,
75,
235,
1152,
9478,
2766,
121,
1,
-100,
-100,
-100,
-100,
-1... |
Find meter_200 and the sum of ID , and group by attribute meter_200, and visualize them by a bar chart. | CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE swimme... | SELECT meter_200, SUM(ID) FROM swimmer GROUP BY meter_200 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
605,
41,
4699,
16,
17,
6,
5570,
1499,
6,
12750,
834,
4309,
16,
17,
6,
2929,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
1368,
41,
4699,
16,
17,
6,
3,
20119,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4401,
834,
3632,
6,
180,
6122,
599,
4309,
61,
21680,
27424,
350,
4630,
6880,
272,
476,
3,
4401,
834,
3632,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
count the number of patients whose admission location is phys referral/normal deli and discharge location is snf? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.discharge_location = "SNF" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
9,
26,
5451,
834,
14836,
3274,
96,
8023,
476,
134,
4083,
20805,
21415,
87,
24833,
329,
4090,
309,
... |
get the number of widow patients who were ordered urine fluid lab test. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "WIDOWED" AND lab.fluid = "Urine" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
Return the lot details of lots that belong to investors with details 'l', and count them by a bar chart | CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_type_code VARCHAR(10),
date_of_transaction DATETIME,
amount_of_transaction DECIMAL(19,4),
share_count VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Sales (
sales_transaction_id INTEGER,
sal... | SELECT lot_details, COUNT(lot_details) FROM Investors AS T1 JOIN Lots AS T2 ON T1.investor_id = T2.investor_id WHERE T1.Investor_details = "l" GROUP BY lot_details | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
21469,
7,
41,
5878,
834,
23,
26,
3,
21342,
17966,
6,
12024,
834,
23,
26,
3,
21342,
17966,
6,
5878,
834,
6137,
834,
4978,
584,
4280,
28027,
599,
16968,
6,
833,
834,
858,
834,
7031,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
418,
834,
221,
5756,
7,
6,
2847,
17161,
599,
3171,
834,
221,
5756,
7,
61,
21680,
16873,
7,
6157,
332,
536,
3,
15355,
3162,
14868,
6157,
332,
357,
9191,
332,
5411,
15601,
127,
834,
23,
26,
3274,
332,
4416,
15601,
1... |
What is the lowest Total, when Second is '55'? | CREATE TABLE table_61390 (
"Season" text,
"Premier" real,
"First" real,
"Second" real,
"Total" real
) | SELECT MIN("Total") FROM table_61390 WHERE "Second" = '55' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4241,
519,
2394,
41,
96,
134,
15,
9,
739,
121,
1499,
6,
96,
10572,
51,
972,
121,
490,
6,
96,
25171,
121,
490,
6,
96,
134,
15,
1018,
26,
121,
490,
6,
96,
3696,
1947,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
121,
3696,
1947,
8512,
21680,
953,
834,
4241,
519,
2394,
549,
17444,
427,
96,
134,
15,
1018,
26,
121,
3274,
3,
31,
3769,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many placed 4th on April 25? | CREATE TABLE table_22951 (
"Round" real,
"Date" text,
"City and venue" text,
"Winner" text,
"Runner-up" text,
"3rd placed" text,
"4th placed" text,
"Results" text
) | SELECT COUNT("4th placed") FROM table_22951 WHERE "Date" = 'April 25' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2884,
3301,
536,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
254,
485,
11,
5669,
121,
1499,
6,
96,
18455,
687,
121,
1499,
6,
96,
23572,
18,
413,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
591,
189,
2681,
8512,
21680,
953,
834,
2884,
3301,
536,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
23323,
944,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Name the most peak performance for october 2006 - january 2010 | CREATE TABLE table_3892 (
"Model - Computer name" text,
"CPU type" text,
"No. of processors" text,
"Period of operation" text,
"Maximum peak performance ( Teraflops )" text,
"Use" text
) | SELECT "Maximum peak performance ( Teraflops )" FROM table_3892 WHERE "Period of operation" = 'October 2006 - January 2010' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3747,
4508,
41,
96,
24663,
3,
18,
5491,
564,
121,
1499,
6,
96,
254,
10744,
686,
121,
1499,
6,
96,
4168,
5,
13,
7502,
7,
121,
1499,
6,
96,
12988,
23,
32,
26,
13,
2986,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
21298,
603,
440,
6734,
821,
41,
9934,
9,
23588,
7,
3,
61,
121,
21680,
953,
834,
3747,
4508,
549,
17444,
427,
96,
12988,
23,
32,
26,
13,
2986,
121,
3274,
3,
31,
28680,
3581,
3,
18,
1762,
2735,
31,
1,
-100,
... |
What state is susana martinez from? | CREATE TABLE table_name_72 (
state VARCHAR,
current_governor VARCHAR
) | SELECT state FROM table_name_72 WHERE current_governor = "susana martinez" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
538,
584,
4280,
28027,
6,
750,
834,
122,
1890,
29,
127,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
538,
19,
4324,
152,
9,
3157,
4070,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
538,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
750,
834,
122,
1890,
29,
127,
3274,
96,
7,
302,
152,
9,
3157,
4070,
172,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What are the regions that use English or Dutch? | CREATE TABLE countrylanguage (CountryCode VARCHAR, Language VARCHAR); CREATE TABLE country (Region VARCHAR, Code VARCHAR) | SELECT DISTINCT T1.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" OR T2.Language = "Dutch" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
684,
24925,
41,
10628,
651,
22737,
584,
4280,
28027,
6,
10509,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
684,
41,
17748,
23,
106,
584,
4280,
28027,
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,
0,
0... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
332,
5411,
17748,
23,
106,
21680,
684,
6157,
332,
536,
3,
15355,
3162,
684,
24925,
6157,
332,
357,
9191,
332,
5411,
22737,
3274,
332,
4416,
10628,
651,
22737,
549,
17444,
427,
332,
4416,
434,
14... |
For those dates with a max temperature greater than or equal to 80, I want to see the number of days for each year using a bar chart, rank by the y axis in desc. | CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station... | SELECT date, COUNT(date) FROM weather WHERE max_temperature_f >= 80 ORDER BY COUNT(date) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2637,
41,
2478,
834,
23,
26,
3,
21342,
17966,
6,
13490,
834,
28843,
3,
21342,
17966,
6,
12908,
7,
834,
28843,
3,
21342,
17966,
6,
97,
3,
3463,
4,
382,
3,
61,
3,
32102,
32103,
32102... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
833,
6,
2847,
17161,
599,
5522,
61,
21680,
1969,
549,
17444,
427,
9858,
834,
21010,
15,
834,
89,
2490,
2423,
2775,
4674,
11300,
272,
476,
2847,
17161,
599,
5522,
61,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.