NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
What is the highest difference for the team that had less than 0 draws? | CREATE TABLE table_name_98 (
difference INTEGER,
drew INTEGER
) | SELECT MAX(difference) FROM table_name_98 WHERE drew < 0 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
1750,
3,
21342,
17966,
6,
3,
26,
60,
210,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
1750,
21,
8,
372,
24,
141,
705,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4800,
4,
599,
26,
99,
11788,
61,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
3,
26,
60,
210,
3,
2,
3,
632,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What are the last names of the teachers who teach the student called GELL TAMI? | CREATE TABLE list (
lastname text,
firstname text,
grade number,
classroom number
)
CREATE TABLE teachers (
lastname text,
firstname text,
classroom number
) | SELECT T2.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T1.firstname = "GELL" AND T1.lastname = "TAMI" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
570,
41,
336,
4350,
1499,
6,
166,
4350,
1499,
6,
2769,
381,
6,
4858,
381,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
3081,
41,
336,
4350,
1499,
6,
166,
4350,
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,
332,
4416,
5064,
4350,
21680,
570,
6157,
332,
536,
3,
15355,
3162,
3081,
6157,
332,
357,
9191,
332,
5411,
4057,
3082,
3274,
332,
4416,
4057,
3082,
549,
17444,
427,
332,
5411,
14672,
4350,
3274,
96,
517,
12735,
121,
34... |
What season had a game in the first round with a result of 4–1, 0–1? | CREATE TABLE table_name_87 (season VARCHAR, round VARCHAR, result VARCHAR) | SELECT season FROM table_name_87 WHERE round = "first round" AND result = "4–1, 0–1" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4225,
41,
9476,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
774,
141,
3,
9,
467,
16,
8,
166,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
774,
21680,
953,
834,
4350,
834,
4225,
549,
17444,
427,
1751,
3274,
96,
14672,
1751,
121,
3430,
741,
3274,
96,
591,
104,
4347,
3,
632,
104,
536,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Name the aggregate with opponents of tauras | CREATE TABLE table_name_65 (
aggregate VARCHAR,
opponents VARCHAR
) | SELECT aggregate FROM table_name_65 WHERE opponents = "tauras" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
12955,
584,
4280,
28027,
6,
16383,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
12955,
28,
16383,
13,
3,
17,
9,
2414,
7,
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,
12955,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
16383,
3274,
96,
17,
9,
2414,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which stadium was used for the North East Stars club? | CREATE TABLE table_77664 (
"Club" text,
"Founded" real,
"Joined" real,
"Location" text,
"Stadium" text,
"Capacity" real,
"2012\u201313 Position" text,
"Top Division Titles" real
) | SELECT "Stadium" FROM table_77664 WHERE "Club" = 'north east stars' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4013,
3539,
591,
41,
96,
254,
11158,
121,
1499,
6,
96,
20100,
121,
490,
6,
96,
683,
32,
630,
26,
121,
490,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
134,
17,
9,
1292... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
17,
9,
12925,
121,
21680,
953,
834,
4013,
3539,
591,
549,
17444,
427,
96,
254,
11158,
121,
3274,
3,
31,
29,
127,
189,
5727,
4811,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What are the highest points for Justin Lofton when his top 10 is lower than 5? | CREATE TABLE table_45028 (
"Driver" text,
"Points" real,
"Wins" real,
"Top 5" real,
"Top 10" real
) | SELECT MAX("Points") FROM table_45028 WHERE "Driver" = 'justin lofton' AND "Top 10" < '5' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
10593,
2577,
41,
96,
20982,
52,
121,
1499,
6,
96,
22512,
7,
121,
490,
6,
96,
18455,
7,
121,
490,
6,
96,
22481,
3,
17395,
490,
6,
96,
22481,
335,
121,
490,
3,
61,
3,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
22512,
7,
8512,
21680,
953,
834,
10593,
2577,
549,
17444,
427,
96,
20982,
52,
121,
3274,
3,
31,
4998,
77,
13871,
106,
31,
3430,
96,
22481,
335,
121,
3,
2,
3,
31,
755,
31,
1,
-100,
-100,
-100,
... |
What is the country where there are 8 children per donor and no data for donor payments? | CREATE TABLE table_16175217_1 (
country VARCHAR,
children_per_donor VARCHAR,
donor_payment VARCHAR
) | SELECT country FROM table_16175217_1 WHERE children_per_donor = "8 children" AND donor_payment = "no data" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2938,
2517,
5373,
2517,
834,
536,
41,
684,
584,
4280,
28027,
6,
502,
834,
883,
834,
2029,
127,
584,
4280,
28027,
6,
18936,
834,
21752,
584,
4280,
28027,
3,
61,
3,
32102,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
684,
21680,
953,
834,
2938,
2517,
5373,
2517,
834,
536,
549,
17444,
427,
502,
834,
883,
834,
2029,
127,
3274,
96,
927,
502,
121,
3430,
18936,
834,
21752,
3274,
96,
29,
32,
331,
121,
1,
-100,
-100,
-100,
-100,
-100,
... |
what is the drug type of drug name aloe vesta 2-n-1 skin cond? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Aloe Vesta 2-n-1 Skin Cond" | [
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,
7744,
7,
5,
26,
13534,
834,
6137,
21680,
7744,
7,
549,
17444,
427,
7744,
7,
5,
26,
13534,
3274,
96,
188,
40,
32,
15,
20970,
9,
8401,
29,
2292,
13038,
1193,
26,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
why type of genre was peter maxwell davies ' work that was the same as emil petrovics | CREATE TABLE table_204_969 (
id number,
"composer" text,
"title" text,
"genre" text,
"date" number,
"notes" text
) | SELECT "genre" FROM table_204_969 WHERE "composer" = 'peter maxwell davies' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
1298,
3951,
41,
3,
23,
26,
381,
6,
96,
287,
2748,
49,
121,
1499,
6,
96,
21869,
121,
1499,
6,
96,
729,
60,
121,
1499,
6,
96,
5522,
121,
381,
6,
96,
7977,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
729,
60,
121,
21680,
953,
834,
26363,
834,
1298,
3951,
549,
17444,
427,
96,
287,
2748,
49,
121,
3274,
3,
31,
4995,
49,
9858,
2091,
836,
5914,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
When the away team score was 11.5 (71), what was the date? | CREATE TABLE table_10950 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Date" FROM table_10950 WHERE "Away team score" = '11.5 (71)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17304,
1752,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
342,
121,
21680,
953,
834,
17304,
1752,
549,
17444,
427,
96,
188,
1343,
372,
2604,
121,
3274,
3,
31,
10032,
755,
13649,
6982,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the 2010 figure for the district of Columbia where the 2004 figure is more than 12.3? | CREATE TABLE table_name_1 (
division VARCHAR
) | SELECT SUM(2010) FROM table_name_1 WHERE division = "district of columbia" AND 2004 > 12.3 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
4889,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2735,
2320,
21,
8,
3939,
13,
8183,
213,
8,
4406,
2320,
19,
72,
145,
8013,
51... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
180,
6122,
599,
14926,
61,
21680,
953,
834,
4350,
834,
536,
549,
17444,
427,
4889,
3274,
96,
26,
23,
20066,
13,
7632,
5937,
23,
9,
121,
3430,
4406,
2490,
8013,
519,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
how many times has patient 022-163354 gone to the icu a year before? | CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TA... | SELECT COUNT(DISTINCT patient.patientunitstayid) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-163354') AND DATETIME(patient.unitadmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1058,
41,
1058,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
1058,
4350,
1499,
6,
1058,
715,
97,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
11963,
670,
2562,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1868,
5,
10061,
15129,
21545,
23,
26,
61,
21680,
1868,
549,
17444,
427,
1868,
5,
10061,
15878,
3734,
21545,
23,
26,
3388,
41,
23143,
14196,
1868,
5,
10061,
15878,
3734,
21545,
23,
... |
how many days have elapsed since patient 027-85328 was admitted to the intensive care unit? | CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE vitalperiodic (
... | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.unitadmittime)) FROM patient WHERE patient.uniquepid = '027-85328' AND patient.unitdischargetime IS NULL | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
23886,
41,
23886,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2672,
4350,
1499,
6,
23886,
4350,
1499,
6,
23886,
715,
97,
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,
209,
1429,
41,
13733,
6245,
15382,
599,
31,
1454,
354,
31,
6,
3,
5211,
12224,
6431,
834,
382,
15382,
9960,
61,
3,
18,
3,
13733,
6245,
15382,
599,
31,
1454,
354,
31,
6,
1868,
5,
15129,
20466,
17,
715,
61,
61,
216... |
What is the lowest number of seasons that the head coach of 1982 had with larger than 9 losses? | CREATE TABLE table_name_36 (
seasons INTEGER,
years VARCHAR,
lost VARCHAR
) | SELECT MIN(seasons) FROM table_name_36 WHERE years = "1982" AND lost > 9 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
9385,
3,
21342,
17966,
6,
203,
584,
4280,
28027,
6,
1513,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7402,
381,
13,
9385,
24,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
9476,
7,
61,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
203,
3274,
96,
2294,
4613,
121,
3430,
1513,
2490,
668,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the club when tries for is 83 | CREATE TABLE table_13564702_3 (club VARCHAR, tries_for VARCHAR) | SELECT club FROM table_13564702_3 WHERE tries_for = "83" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2368,
4834,
27760,
357,
834,
519,
41,
13442,
584,
4280,
28027,
6,
3,
9000,
834,
1161,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
1886,
116,
3,
9000,
21,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1886,
21680,
953,
834,
2368,
4834,
27760,
357,
834,
519,
549,
17444,
427,
3,
9000,
834,
1161,
3274,
96,
4591,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what was the total score for the 1st and 2nd legs of the somalia vs sudan game . | CREATE TABLE table_204_324 (
id number,
"team 1" text,
"agg." text,
"team 2" text,
"1st leg" text,
"2nd leg" text
) | SELECT "agg." + "agg." FROM table_204_324 WHERE "team 1" = 'somalia' AND "team 2" = 'sudan' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
519,
2266,
41,
3,
23,
26,
381,
6,
96,
11650,
209,
121,
1499,
6,
96,
9,
4102,
535,
1499,
6,
96,
11650,
204,
121,
1499,
6,
96,
536,
7,
17,
4553,
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,
9,
4102,
535,
1768,
96,
9,
4102,
535,
21680,
953,
834,
26363,
834,
519,
2266,
549,
17444,
427,
96,
11650,
209,
121,
3274,
3,
31,
10348,
5434,
31,
3430,
96,
11650,
204,
121,
3274,
3,
31,
7,
76,
3768,
31,
1,
... |
what's the computing mechanbeingm with first operational being february 1944 | CREATE TABLE table_72467 (
"Name" text,
"First operational" text,
"Numeral system" text,
"Computing mechanism" text,
"Programming" text,
"Turing complete" text
) | SELECT "Computing mechanism" FROM table_72467 WHERE "First operational" = 'February 1944' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
2266,
3708,
41,
96,
23954,
121,
1499,
6,
96,
25171,
7763,
121,
1499,
6,
96,
21456,
4900,
358,
121,
1499,
6,
96,
5890,
2562,
53,
8557,
121,
1499,
6,
96,
3174,
16582,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
5890,
2562,
53,
8557,
121,
21680,
953,
834,
940,
2266,
3708,
549,
17444,
427,
96,
25171,
7763,
121,
3274,
3,
31,
31122,
21930,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what's the total w–l where player is boro jovanović category:articles with hcards | CREATE TABLE table_10294071_1 (total_w_l VARCHAR, player VARCHAR) | SELECT total_w_l FROM table_10294071_1 WHERE player = "Boro Jovanović Category:Articles with hCards" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1714,
3166,
2445,
4450,
834,
536,
41,
235,
1947,
834,
210,
834,
40,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
31,
7,
8,
792,
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,
792,
834,
210,
834,
40,
21680,
953,
834,
1714,
3166,
2445,
4450,
834,
536,
549,
17444,
427,
1959,
3274,
96,
279,
127,
32,
2194,
2132,
9881,
2,
17459,
10,
7754,
447,
965,
28,
3,
107,
6936,
26,
7,
121,
1,
-100,
-1... |
tell me the primary disease and time of discharge for patient ida cook. | 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 demographic.diagnosis, demographic.dischtime FROM demographic WHERE demographic.name = "Ida Cook" | [
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,
14798,
5,
25930,
4844,
159,
6,
14798,
5,
26,
2499,
715,
21680,
14798,
549,
17444,
427,
14798,
5,
4350,
3274,
96,
196,
26,
9,
6176,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the name of the owner of rock 97.7? | CREATE TABLE table_66084 (
"Frequency" text,
"Call sign" text,
"Branding" text,
"Format" text,
"Owner" text
) | SELECT "Owner" FROM table_66084 WHERE "Branding" = 'rock 97.7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27720,
4608,
41,
96,
371,
60,
835,
11298,
121,
1499,
6,
96,
254,
1748,
1320,
121,
1499,
6,
96,
18304,
727,
53,
121,
1499,
6,
96,
3809,
3357,
121,
1499,
6,
96,
667,
210,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
210,
687,
121,
21680,
953,
834,
27720,
4608,
549,
17444,
427,
96,
18304,
727,
53,
121,
3274,
3,
31,
6133,
3,
4327,
5,
940,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What was the start result with a Rank of 7 and more than 100 laps? | CREATE TABLE table_name_15 (
start VARCHAR,
rank VARCHAR,
laps VARCHAR
) | SELECT start FROM table_name_15 WHERE rank = "7" AND laps > 100 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
456,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
14941,
7,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
456,
741,
28,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
456,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
11003,
3274,
96,
940,
121,
3430,
14941,
7,
2490,
910,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What position in the club team of Kansas? | CREATE TABLE table_name_21 (position VARCHAR, school_club_team VARCHAR) | SELECT position FROM table_name_21 WHERE school_club_team = "kansas" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2658,
41,
4718,
584,
4280,
28027,
6,
496,
834,
13442,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1102,
16,
8,
1886,
372,
13,
10585,
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,
1102,
21680,
953,
834,
4350,
834,
2658,
549,
17444,
427,
496,
834,
13442,
834,
11650,
3274,
96,
3304,
7,
9,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When was the school in Salem, Massachusetts located? | CREATE TABLE table_1974545_2 (
founded VARCHAR,
location VARCHAR
) | SELECT founded FROM table_1974545_2 WHERE location = "Salem, Massachusetts" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27181,
2128,
2128,
834,
357,
41,
5710,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
366,
47,
8,
496,
16,
5774,
51,
6,
9777,
1069,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5710,
21680,
953,
834,
27181,
2128,
2128,
834,
357,
549,
17444,
427,
1128,
3274,
96,
134,
9,
109,
51,
6,
9777,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the result of the game on May 14? | CREATE TABLE table_6548 (
"Game" text,
"Date" text,
"Home Team" text,
"Result" text,
"Road Team" text
) | SELECT "Result" FROM table_6548 WHERE "Date" = 'may 14' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4122,
3707,
41,
96,
23055,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
19040,
2271,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
448,
32,
9,
26,
2271,
121,
1499,
3,
61,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
96,
20119,
121,
21680,
953,
834,
4122,
3707,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
13726,
968,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What were the laps of aprilia with a grid of 10? | CREATE TABLE table_name_72 (laps VARCHAR, manufacturer VARCHAR, grid VARCHAR) | SELECT laps FROM table_name_72 WHERE manufacturer = "aprilia" AND grid = 10 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
8478,
7,
584,
4280,
28027,
6,
4818,
584,
4280,
28027,
6,
8634,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
130,
8,
14941,
7,
13,
3,
9,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
14941,
7,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
4818,
3274,
96,
9,
102,
52,
13565,
121,
3430,
8634,
3274,
335,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
history of seizure or head trauma with disturbance of consciousness within the past two years | CREATE TABLE table_train_129 (
"id" int,
"cerebral_neoplasia" bool,
"gender" string,
"mini_mental_state_examination_mmse" int,
"multiple_lacunar_infarcts" bool,
"neurodegenerative_disease" bool,
"mri_abnormality" bool,
"nervous_system_functioning" bool,
"head_injury" bool,
"serio... | SELECT * FROM table_train_129 WHERE seizure_disorder = 1 OR head_injury = 1 OR disturbance_of_consciousness = 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9719,
834,
22174,
41,
96,
23,
26,
121,
16,
17,
6,
96,
2110,
15,
1939,
40,
834,
29,
15,
32,
102,
27702,
9,
121,
3,
12840,
40,
6,
96,
122,
3868,
121,
6108,
6,
96,
7619,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1429,
21680,
953,
834,
9719,
834,
22174,
549,
17444,
427,
4736,
1000,
60,
834,
26,
159,
9397,
3274,
209,
4674,
819,
834,
77,
10609,
63,
3274,
209,
4674,
25595,
834,
858,
834,
25098,
655,
3274,
209,
1,
-100,
-100,
-1... |
What day is south melbourne at home? | CREATE TABLE table_77906 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Date" FROM table_77906 WHERE "Home team" = 'south melbourne' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4013,
2394,
948,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
342,
121,
21680,
953,
834,
4013,
2394,
948,
549,
17444,
427,
96,
19040,
372,
121,
3274,
3,
31,
7,
670,
107,
3,
2341,
26255,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the name of the captain when teh shirt sponsor is n/a? | CREATE TABLE table_27631756_2 (
captain VARCHAR,
shirt_sponsor VARCHAR
) | SELECT captain FROM table_27631756_2 WHERE shirt_sponsor = "N/A" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
3891,
2517,
4834,
834,
357,
41,
14268,
584,
4280,
28027,
6,
8677,
834,
7,
5041,
7,
127,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
564,
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,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
14268,
21680,
953,
834,
2555,
3891,
2517,
4834,
834,
357,
549,
17444,
427,
8677,
834,
7,
5041,
7,
127,
3274,
96,
567,
87,
188,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
For those employees who was hired before 2002-06-21, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by weekday, and I want to sort Y in descending order. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(... | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(DEPARTMENT_ID) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1652,
41,
262,
5244,
5017,
476,
5080,
834,
4309,
7908,
1982,
599,
11071,
632,
201,
30085,
834,
567,
17683,
3,
4331,
4059,
599,
1755,
201,
301,
12510,
834,
567,
17683,
3,
4331,
4059,
59... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
454,
14132,
834,
308,
6048,
6,
71,
17217,
599,
5596,
19846,
11810,
834,
4309,
61,
21680,
1652,
549,
17444,
427,
454,
14132,
834,
308,
6048,
3,
2,
3,
31,
24898,
18,
5176,
16539,
31,
4674,
11300,
272,
476,
71,
17217,
... |
count the number of patients whose gender is f and discharge location is dead/expired? | 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.gender = "F" AND demographic.discharge_location = "DEAD/EXPIRED" | [
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,
122,
3868,
3274,
96,
371,
121,
3430,
14798,
5,
26,
159,
7993,
834,
14836,
3274,
96,
308,
19552,
... |
What is 2001, when 1996 is '0 / 2'? | CREATE TABLE table_name_1 (
Id VARCHAR
) | SELECT 2001 FROM table_name_1 WHERE 1996 = "0 / 2" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
27,
26,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
4402,
6,
116,
6911,
19,
3,
31,
632,
3,
87,
204,
31,
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,
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,
4402,
21680,
953,
834,
4350,
834,
536,
549,
17444,
427,
6911,
3274,
96,
632,
3,
87,
204,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the attendance for the game held on September 18, 1994, with a week less than 5? | CREATE TABLE table_name_25 (
attendance VARCHAR,
week VARCHAR,
date VARCHAR
) | SELECT attendance FROM table_name_25 WHERE week < 5 AND date = "september 18, 1994" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1828,
41,
11364,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
11364,
21,
8,
467,
1213,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
11364,
21680,
953,
834,
4350,
834,
1828,
549,
17444,
427,
471,
3,
2,
305,
3430,
833,
3274,
96,
7,
6707,
18247,
14985,
7520,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
who is in the first postion ? | CREATE TABLE table_203_670 (
id number,
"pos" text,
"driver" text,
"entrant" text,
"constructor" text,
"time/retired" text,
"grid" number
) | SELECT "driver" FROM table_203_670 WHERE "pos" = 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
3708,
632,
41,
3,
23,
26,
381,
6,
96,
2748,
121,
1499,
6,
96,
13739,
52,
121,
1499,
6,
96,
295,
3569,
121,
1499,
6,
96,
15982,
5317,
121,
1499,
6,
96,
715,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
13739,
52,
121,
21680,
953,
834,
23330,
834,
3708,
632,
549,
17444,
427,
96,
2748,
121,
3274,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Game is the highest one that has a Record of 4-3-6? | CREATE TABLE table_75438 (
"Game" real,
"December" real,
"Opponent" text,
"Score" text,
"Record" text
) | SELECT MAX("Game") FROM table_75438 WHERE "Record" = '4-3-6' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3072,
591,
3747,
41,
96,
23055,
121,
490,
6,
96,
29835,
121,
490,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
1649,
7621,
121,
1499,
3,
61,
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,
4800,
4,
599,
121,
23055,
8512,
21680,
953,
834,
3072,
591,
3747,
549,
17444,
427,
96,
1649,
7621,
121,
3274,
3,
31,
591,
18,
25342,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What numer pick in the draft for jerry marion | CREATE TABLE table_871 (
"Draft Year" real,
"Player" text,
"Position" text,
"Round" real,
"Overall" real,
"NFL Team" text
) | SELECT MAX("Overall") FROM table_871 WHERE "Player" = 'Jerry Marion' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4225,
536,
41,
96,
308,
10913,
2929,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
448,
32,
1106,
121,
490,
6,
96,
23847,
1748,
121,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
23847,
1748,
8512,
21680,
953,
834,
4225,
536,
549,
17444,
427,
96,
15800,
49,
121,
3274,
3,
31,
683,
49,
651,
23816,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
A bar chart shows the distribution of All_Home and School_ID , and group by attribute ACC_Home, and sort X-axis in descending order. | CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
Scho... | SELECT All_Home, School_ID FROM basketball_match GROUP BY ACC_Home, All_Home ORDER BY All_Home DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8498,
834,
19515,
41,
2271,
834,
4309,
16,
17,
6,
1121,
834,
4309,
16,
17,
6,
2271,
834,
23954,
1499,
6,
3,
14775,
834,
17748,
4885,
834,
134,
15,
9,
739,
1499,
6,
3,
14775,
834,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
432,
834,
19040,
6,
1121,
834,
4309,
21680,
8498,
834,
19515,
350,
4630,
6880,
272,
476,
3,
14775,
834,
19040,
6,
432,
834,
19040,
4674,
11300,
272,
476,
432,
834,
19040,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
... |
What is the lowest amount of losses when the goldne rivers is quambatook, wins are smaller than 15 and draws larger than 0? | CREATE TABLE table_name_24 (
losses INTEGER,
draws VARCHAR,
wins VARCHAR,
golden_rivers VARCHAR
) | SELECT MIN(losses) FROM table_name_24 WHERE wins < 15 AND golden_rivers = "quambatook" AND draws > 0 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
8467,
3,
21342,
17966,
6,
14924,
584,
4280,
28027,
6,
9204,
584,
4280,
28027,
6,
7069,
834,
5927,
277,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
2298,
2260,
61,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
9204,
3,
2,
627,
3430,
7069,
834,
5927,
277,
3274,
96,
2436,
14303,
235,
1825,
121,
3430,
14924,
2490,
3,
632,
1,
-100,
-100,
-100,
... |
Name the total number of democratic votes when the other votes are less than 18 and the percentage of R votes are 52.63% and votes since 1856 less than 38 | CREATE TABLE table_56062 (
"State" text,
"Votes" real,
"Votes since 1856" real,
"Democratic votes" real,
"D votes since 1856" real,
"% of D votes" text,
"D % since 1856" text,
"Republican votes" real,
"% of R votes" text,
"R % since 1856" text,
"Other votes" real,
"O vote... | SELECT COUNT("Democratic votes") FROM table_56062 WHERE "Other votes" < '18' AND "% of R votes" = '52.63%' AND "Votes since 1856" < '38' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4834,
5176,
357,
41,
96,
134,
4748,
121,
1499,
6,
96,
553,
32,
1422,
121,
490,
6,
96,
553,
32,
1422,
437,
507,
4834,
121,
490,
6,
96,
19679,
447,
11839,
121,
490,
6,
96... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
19679,
447,
11839,
8512,
21680,
953,
834,
4834,
5176,
357,
549,
17444,
427,
96,
667,
189,
49,
11839,
121,
3,
2,
3,
31,
2606,
31,
3430,
96,
1454,
13,
391,
11839,
121,
3274,
3,
31,
755,
22724,... |
What was the length when James Swallow had a release longer than 2.1? | CREATE TABLE table_name_36 (
length VARCHAR,
writer VARCHAR,
release VARCHAR
) | SELECT length FROM table_name_36 WHERE writer = "james swallow" AND release > 2.1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
2475,
584,
4280,
28027,
6,
4346,
584,
4280,
28027,
6,
1576,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2475,
116,
2549,
7320,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2475,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
4346,
3274,
96,
1191,
2687,
20370,
121,
3430,
1576,
2490,
3,
14489,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the place that was founded in 1920 | CREATE TABLE table_262560_1 (institution VARCHAR, founded VARCHAR) | SELECT institution FROM table_262560_1 WHERE founded = 1920 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2688,
1828,
3328,
834,
536,
41,
77,
17448,
584,
4280,
28027,
6,
5710,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
286,
24,
47,
5710,
16,
13978,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
6568,
21680,
953,
834,
2688,
1828,
3328,
834,
536,
549,
17444,
427,
5710,
3274,
13978,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the # of candidates of liberal majority with 51 wins and larger number of 2008 in general elections? | CREATE TABLE table_33387 (
"General election" real,
"# of candidates" real,
"# of seats won" real,
"% of popular vote" text,
"Result" text
) | SELECT AVG("# of candidates") FROM table_33387 WHERE "Result" = 'liberal majority' AND "# of seats won" = '51' AND "General election" > '2008' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23360,
4225,
41,
96,
20857,
4356,
121,
490,
6,
96,
4663,
13,
4341,
121,
490,
6,
96,
4663,
13,
6116,
751,
121,
490,
6,
96,
1454,
13,
1012,
2902,
121,
1499,
6,
96,
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,
71,
17217,
599,
121,
4663,
13,
4341,
8512,
21680,
953,
834,
23360,
4225,
549,
17444,
427,
96,
20119,
121,
3274,
3,
31,
10661,
138,
2942,
31,
3430,
96,
4663,
13,
6116,
751,
121,
3274,
3,
31,
5553,
31,
3430,
96,
208... |
When 1994 is the first elected what is the district? | CREATE TABLE table_19753079_41 (
district VARCHAR,
first_elected VARCHAR
) | SELECT district FROM table_19753079_41 WHERE first_elected = 1994 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27181,
26918,
4440,
834,
4853,
41,
3939,
584,
4280,
28027,
6,
166,
834,
19971,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
366,
7520,
19,
8,
166,
8160,
125,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3939,
21680,
953,
834,
27181,
26918,
4440,
834,
4853,
549,
17444,
427,
166,
834,
19971,
3274,
7520,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
When did the term end that began January 3, 2007? | CREATE TABLE table_224672_2 (term_ended VARCHAR, term_began VARCHAR) | SELECT term_ended FROM table_224672_2 WHERE term_began = "January 3, 2007" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24622,
3708,
357,
834,
357,
41,
1987,
834,
14550,
584,
4280,
28027,
6,
1657,
834,
346,
2565,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
410,
8,
1657,
414,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1657,
834,
14550,
21680,
953,
834,
24622,
3708,
357,
834,
357,
549,
17444,
427,
1657,
834,
346,
2565,
3274,
96,
30404,
6180,
4101,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What discs has a region 1 release date of January 22, 2008? | CREATE TABLE table_34504 (
"Volume" text,
"Discs" real,
"Episodes" real,
"Region 1 release" text,
"Region 2 release" text,
"Region 4 release" text
) | SELECT "Discs" FROM table_34504 WHERE "Region 1 release" = 'january 22, 2008' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
10593,
591,
41,
96,
22803,
440,
15,
121,
1499,
6,
96,
15683,
7,
121,
490,
6,
96,
427,
102,
159,
32,
1395,
121,
490,
6,
96,
17748,
23,
106,
209,
1576,
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,
15683,
7,
121,
21680,
953,
834,
519,
10593,
591,
549,
17444,
427,
96,
17748,
23,
106,
209,
1576,
121,
3274,
3,
31,
7066,
76,
1208,
12889,
2628,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who scored the High points in the game with High rebounds by Nick Collison (14)? | CREATE TABLE table_name_20 (high_points VARCHAR, high_rebounds VARCHAR) | SELECT high_points FROM table_name_20 WHERE high_rebounds = "nick collison (14)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
6739,
834,
2700,
7,
584,
4280,
28027,
6,
306,
834,
23768,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
5799,
8,
1592,
979,
16,
8,
467,
28... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
306,
834,
2700,
7,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
306,
834,
23768,
3274,
96,
11191,
8029,
23,
739,
4077,
7256,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the score for the home team Notts County? | CREATE TABLE table_name_97 (score VARCHAR, home_team VARCHAR) | SELECT score FROM table_name_97 WHERE home_team = "notts county" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4327,
41,
7,
9022,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2604,
21,
8,
234,
372,
933,
17,
7,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
4327,
549,
17444,
427,
234,
834,
11650,
3274,
96,
2264,
17,
7,
5435,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What are the categories of events that occurred after 2007 that were World Championships? | CREATE TABLE table_name_93 (
category VARCHAR,
year VARCHAR,
competition VARCHAR
) | SELECT category FROM table_name_93 WHERE year > 2007 AND competition = "world championships" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
3295,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
2259,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
33,
8,
5897,
13,
984,
24,
6935,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3295,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
215,
2490,
4101,
3430,
2259,
3274,
96,
7276,
10183,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was the first leg score in the match against Twente? | CREATE TABLE table_name_58 (first_leg VARCHAR, opposition VARCHAR) | SELECT first_leg FROM table_name_58 WHERE opposition = "twente" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
14672,
834,
5772,
584,
4280,
28027,
6,
8263,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
166,
4553,
2604,
16,
8,
1588,
581,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
166,
834,
5772,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
8263,
3274,
96,
17,
16103,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
return me the total citations of papers in the VLDB conference before 2005 . | CREATE TABLE publication_keyword (
kid int,
pid int
)
CREATE TABLE domain_author (
aid int,
did int
)
CREATE TABLE writes (
aid int,
pid int
)
CREATE TABLE domain_conference (
cid int,
did int
)
CREATE TABLE conference (
cid int,
homepage varchar,
name varchar
)
CREATE T... | SELECT SUM(publication.citation_num) FROM conference, publication WHERE conference.name = 'VLDB' AND publication.cid = conference.cid AND publication.year < 2005 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
5707,
834,
4397,
6051,
41,
4984,
16,
17,
6,
3,
12417,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
3303,
834,
17415,
41,
3052,
16,
17,
6,
410,
16,
17,
3,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
15727,
257,
5,
13903,
834,
5525,
61,
21680,
2542,
6,
5707,
549,
17444,
427,
2542,
5,
4350,
3274,
3,
31,
553,
9815,
279,
31,
3430,
5707,
5,
10812,
3274,
2542,
5,
10812,
3430,
5707,
5,
1201,
3,
2,
... |
What are the names of the directors who created a movie with a 5 star rating, and what was the name of those movies? | CREATE TABLE reviewer (
rid number,
name text
)
CREATE TABLE movie (
mid number,
title text,
year number,
director text
)
CREATE TABLE rating (
rid number,
mid number,
stars number,
ratingdate time
) | SELECT T1.director, T1.title FROM movie AS T1 JOIN rating AS T2 ON T1.mid = T2.mid WHERE T2.stars = 5 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1132,
49,
41,
5413,
381,
6,
564,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
1974,
41,
2076,
381,
6,
2233,
1499,
6,
215,
381,
6,
2090,
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,
332,
5411,
25982,
6,
332,
5411,
21869,
21680,
1974,
6157,
332,
536,
3,
15355,
3162,
5773,
6157,
332,
357,
9191,
332,
5411,
6983,
3274,
332,
4416,
6983,
549,
17444,
427,
332,
4416,
3624,
7,
3274,
305,
1,
-100,
-100,
... |
Name the scientific linux release when delay is 28d | CREATE TABLE table_1500146_1 (scientific_linux_release VARCHAR, delay VARCHAR) | SELECT scientific_linux_release FROM table_1500146_1 WHERE delay = "28d" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
536,
2560,
24300,
834,
536,
41,
17819,
3286,
834,
31016,
834,
21019,
584,
4280,
28027,
6,
7230,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
4290,
3,
31016,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4290,
834,
31016,
834,
21019,
21680,
953,
834,
536,
2560,
24300,
834,
536,
549,
17444,
427,
7230,
3274,
96,
2577,
26,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the lowest game number that has a Record of 3 33? | CREATE TABLE table_name_93 (
game INTEGER,
record VARCHAR
) | SELECT MIN(game) FROM table_name_93 WHERE record = "3–33" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
467,
3,
21342,
17966,
6,
1368,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7402,
467,
381,
24,
65,
3,
9,
11392,
13,
220,
5400... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
17684,
599,
7261,
61,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
1368,
3274,
96,
519,
104,
4201,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
If the province is Nunavut, what is the Arabs 2011 amount? | CREATE TABLE table_1939367_1 (arabs_2011 VARCHAR, province VARCHAR) | SELECT arabs_2011 FROM table_1939367_1 WHERE province = "Nunavut" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2294,
3288,
519,
3708,
834,
536,
41,
9,
7093,
7,
834,
13907,
584,
4280,
28027,
6,
7985,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
156,
8,
7985,
19,
1174,
14128,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
21165,
7,
834,
13907,
21680,
953,
834,
2294,
3288,
519,
3708,
834,
536,
549,
17444,
427,
7985,
3274,
96,
12924,
14128,
76,
17,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the sum of Overall, when Name is 'Tim Smiley', and when Round is less than 5? | CREATE TABLE table_76310 (
"Round" real,
"Pick" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
) | SELECT SUM("Overall") FROM table_76310 WHERE "Name" = 'tim smiley' AND "Round" < '5' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3959,
19947,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
345,
3142,
121,
490,
6,
96,
23847,
1748,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
345,
32,
7,
4749,
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,
180,
6122,
599,
121,
23847,
1748,
8512,
21680,
953,
834,
3959,
19947,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
2998,
3993,
63,
31,
3430,
96,
448,
32,
1106,
121,
3,
2,
3,
31,
755,
31,
1,
-100,
-100,
-100,
-1... |
Find the texts of assessment notes for teachers with last name "Schuster". | CREATE TABLE Assessment_Notes (text_of_notes VARCHAR, teacher_id VARCHAR); CREATE TABLE Teachers (teacher_id VARCHAR, last_name VARCHAR) | SELECT T1.text_of_notes FROM Assessment_Notes AS T1 JOIN Teachers AS T2 ON T1.teacher_id = T2.teacher_id WHERE T2.last_name = "Schuster" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
15186,
834,
10358,
15,
7,
41,
6327,
834,
858,
834,
7977,
7,
584,
4280,
28027,
6,
3145,
834,
23,
26,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
18991,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
332,
5411,
6327,
834,
858,
834,
7977,
7,
21680,
15186,
834,
10358,
15,
7,
6157,
332,
536,
3,
15355,
3162,
18991,
6157,
332,
357,
9191,
332,
5411,
30215,
834,
23,
26,
3274,
332,
4416,
30215,
834,
23,
26,
549,
17444,
... |
Name the average attendance with result of won 2-0 on 2 november 2007 | CREATE TABLE table_36995 (
"Date" text,
"Opponent" text,
"Venue" text,
"Result" text,
"Attendance (Away)" real
) | SELECT AVG("Attendance (Away)") FROM table_36995 WHERE "Result" = 'won 2-0' AND "Date" = '2 november 2007' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
3951,
3301,
41,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
20119,
121,
1499,
6,
96,
188,
17,
324,
26,
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,
71,
17217,
599,
121,
188,
17,
324,
26,
663,
41,
188,
1343,
61,
8512,
21680,
953,
834,
519,
3951,
3301,
549,
17444,
427,
96,
20119,
121,
3274,
3,
31,
210,
106,
3,
19423,
31,
3430,
96,
308,
342,
121,
3274,
3,
31,
... |
Give me a scatter chart about the correlation between the average price and the score of wines grouped by appellation? | CREATE TABLE appellations (
No INTEGER,
Appelation TEXT,
County TEXT,
State TEXT,
Area TEXT,
isAVA TEXT
)
CREATE TABLE wine (
No INTEGER,
Grape TEXT,
Winery TEXT,
Appelation TEXT,
State TEXT,
Name TEXT,
Year INTEGER,
Price INTEGER,
Score INTEGER,
Cases IN... | SELECT AVG(Price), AVG(Score) FROM wine GROUP BY AVG(Price) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8319,
6105,
7,
41,
465,
3,
21342,
17966,
6,
3,
27794,
257,
3,
3463,
4,
382,
6,
1334,
3,
3463,
4,
382,
6,
1015,
3,
3463,
4,
382,
6,
5690,
3,
3463,
4,
382,
6,
19,
6968,
188,
3,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
345,
4920,
201,
71,
17217,
599,
134,
9022,
61,
21680,
2013,
350,
4630,
6880,
272,
476,
71,
17217,
599,
345,
4920,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the october when the september is dalene kurtis | CREATE TABLE table_name_47 (october VARCHAR, september VARCHAR) | SELECT october FROM table_name_47 WHERE september = "dalene kurtis" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4177,
41,
32,
75,
235,
1152,
584,
4280,
28027,
6,
16022,
18247,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
3,
32,
75,
235,
1152,
116,
8,
16022... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
32,
75,
235,
1152,
21680,
953,
834,
4350,
834,
4177,
549,
17444,
427,
16022,
18247,
3274,
96,
5437,
29,
15,
3,
10923,
17,
159,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the lowest number of wins? | CREATE TABLE table_14853156_2 (wins INTEGER) | SELECT MIN(wins) FROM table_14853156_2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24748,
4867,
25463,
834,
357,
41,
3757,
7,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7402,
381,
13,
9204,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
3757,
7,
61,
21680,
953,
834,
24748,
4867,
25463,
834,
357,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which Reigon has a Village of Chassagne-Montrachet? | CREATE TABLE table_name_82 (
region VARCHAR,
village VARCHAR
) | SELECT region FROM table_name_82 WHERE village = "chassagne-montrachet" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4613,
41,
1719,
584,
4280,
28027,
6,
3309,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
419,
23,
5307,
65,
3,
9,
7305,
13,
3643,
7,
7,
11624,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1719,
21680,
953,
834,
4350,
834,
4613,
549,
17444,
427,
3309,
3274,
96,
3441,
7,
7,
11624,
18,
4662,
21136,
15,
17,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many patients born before 2170 had a urea nitrogen urine lab test? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2170" AND lab.label = "Urea Nitrogen, Urine" | [
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,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
What was the score of the game with a record of 37 26 9? | CREATE TABLE table_37909 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Record" text
) | SELECT "Score" FROM table_37909 WHERE "Record" = '37–26–9' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
4440,
4198,
41,
96,
308,
342,
121,
1499,
6,
96,
553,
159,
155,
127,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
19040,
121,
1499,
6,
96,
1649,
7621,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
9022,
121,
21680,
953,
834,
519,
4440,
4198,
549,
17444,
427,
96,
1649,
7621,
121,
3274,
3,
31,
4118,
104,
2688,
104,
1298,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What was week 3 score? | CREATE TABLE table_name_79 (result VARCHAR, week VARCHAR) | SELECT result FROM table_name_79 WHERE week = 3 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4440,
41,
60,
7,
83,
17,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
471,
220,
2604,
58,
1,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
741,
21680,
953,
834,
4350,
834,
4440,
549,
17444,
427,
471,
3274,
220,
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,
... |
Who were the Investing Dragons in the episode that first aired on 18 January 2005 with the entrepreneur Tracey Herrtage? | CREATE TABLE table_name_65 (
investing_dragon_s_ VARCHAR,
first_aired VARCHAR,
entrepreneur_s_ VARCHAR
) | SELECT investing_dragon_s_ FROM table_name_65 WHERE first_aired = "18 january 2005" AND entrepreneur_s_ = "tracey herrtage" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
8448,
834,
3515,
5307,
834,
7,
834,
584,
4280,
28027,
6,
166,
834,
2378,
26,
584,
4280,
28027,
6,
3,
12290,
834,
7,
834,
584,
4280,
28027,
3,
61,
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,
8448,
834,
3515,
5307,
834,
7,
834,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
166,
834,
2378,
26,
3274,
96,
2606,
3,
7066,
76,
1208,
3105,
121,
3430,
3,
12290,
834,
7,
834,
3274,
96,
6471,
15,
63,
160,
... |
count the number of patients whose primary disease is s/p fall and year of death is less than or equal to 2133? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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 t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "S/P FALL" AND demographic.dod_year <= "2133.0" | [
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,
549,
17444,
427,
14798,
5,
25930,
4844,
159,
3274,
96,
134,
87,
345,
377,
12126,
121,
3430,
14798,
5,
26,
32,
26,
834,
1201... |
find the name of people whose height is lower than the average. | CREATE TABLE people (name VARCHAR, height INTEGER) | SELECT name FROM people WHERE height < (SELECT AVG(height) FROM people) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
151,
41,
4350,
584,
4280,
28027,
6,
3902,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
253,
8,
564,
13,
151,
3,
2544,
3902,
19,
1364,
145,
8,
1348,
5,
1,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
151,
549,
17444,
427,
3902,
3,
2,
41,
23143,
14196,
71,
17217,
599,
88,
2632,
61,
21680,
151,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is Draft, when Round is '9', when Pick is '171', and when Player is 'Dan Wiebe Category:Articles with hCards'? | CREATE TABLE table_12156 (
"Draft" real,
"Round" text,
"Pick" real,
"Player" text,
"Nationality" text
) | SELECT "Draft" FROM table_12156 WHERE "Round" = '9' AND "Pick" = '171' AND "Player" = 'dan wiebe category:articles with hcards' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2122,
25463,
41,
96,
308,
10913,
121,
490,
6,
96,
448,
32,
1106,
121,
1499,
6,
96,
345,
3142,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
24732,
485,
121,
1499,
3,
61... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
10913,
121,
21680,
953,
834,
2122,
25463,
549,
17444,
427,
96,
448,
32,
1106,
121,
3274,
3,
31,
1298,
31,
3430,
96,
345,
3142,
121,
3274,
3,
31,
2517,
536,
31,
3430,
96,
15800,
49,
121,
3274,
3,
31,
376... |
what is the diagnosis short title of diagnosis icd9 code 4271? | 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 diagnoses.short_title FROM diagnoses WHERE diagnoses.icd9_code = "4271" | [
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,
18730,
7,
5,
7,
14184,
834,
21869,
21680,
18730,
7,
549,
17444,
427,
18730,
7,
5,
447,
26,
1298,
834,
4978,
3274,
96,
4165,
4450,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
How many years did the USD Exchange have 225.82 and a gross domestic product larger than 240,707,315? | CREATE TABLE table_43221 (
"Year" real,
"Gross domestic product" real,
"US dollar exchange" text,
"Nominal per-capita GDP (as % of USA)" real,
"PPP capita GDP (as % of USA)" text
) | SELECT COUNT("Year") FROM table_43221 WHERE "US dollar exchange" = '￥225.82' AND "Gross domestic product" > '240,707,315' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
2668,
2658,
41,
96,
476,
2741,
121,
490,
6,
96,
517,
1859,
7,
4422,
556,
121,
490,
6,
96,
3063,
6816,
2509,
121,
1499,
6,
96,
4168,
1109,
138,
399,
18,
4010,
155,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
476,
2741,
8512,
21680,
953,
834,
591,
2668,
2658,
549,
17444,
427,
96,
3063,
6816,
2509,
121,
3274,
3,
31,
2,
20489,
5,
4613,
31,
3430,
96,
517,
1859,
7,
4422,
556,
121,
2490,
3,
31,
11944,... |
calculate the average days for which inpatient hospital admission patients were hospitalized. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
... | SELECT AVG(demographic.days_stay) FROM demographic WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" | [
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,
71,
17217,
599,
1778,
16587,
5,
1135,
7,
834,
21545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
9,
26,
5451,
834,
14836,
3274,
96,
11359,
7369,
20805,
21680,
3,
6299,
4274,
87,
427,
4,
11359,
329,
121,
1,
-100,
... |
What is the magnitude with epicenter at Vrancea County, unknown intensity and which happened at 06:36? | CREATE TABLE table_79127 (
"Date" text,
"Time (UTC)" text,
"Epicenter" text,
"Magnitude" text,
"Depth" text,
"Intensity" text
) | SELECT "Magnitude" FROM table_79127 WHERE "Epicenter" = 'vrancea county' AND "Intensity" = 'unknown' AND "Time (UTC)" = '06:36' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4440,
22367,
41,
96,
308,
342,
121,
1499,
6,
96,
13368,
41,
6675,
254,
61,
121,
1499,
6,
96,
427,
102,
23,
13866,
121,
1499,
6,
96,
22909,
29,
20341,
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,
22909,
29,
20341,
121,
21680,
953,
834,
4440,
22367,
549,
17444,
427,
96,
427,
102,
23,
13866,
121,
3274,
3,
31,
208,
5219,
9,
5435,
31,
3430,
96,
1570,
324,
7,
485,
121,
3274,
3,
31,
202,
5661,
31,
3430,
96... |
What year did Zone Rouge first air? | CREATE TABLE table_79978 (
"Country" text,
"Name" text,
"Host" text,
"Channel" text,
"Prize" text,
"First year aired" text
) | SELECT "First year aired" FROM table_79978 WHERE "Name" = 'zone rouge' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4440,
21441,
41,
96,
10628,
651,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
566,
3481,
121,
1499,
6,
96,
3541,
4515,
40,
121,
1499,
6,
96,
7855,
776,
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,
25171,
215,
3,
2378,
26,
121,
21680,
953,
834,
4440,
21441,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
9431,
11732,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Name the record for 9-4 score | CREATE TABLE table_14960 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
) | SELECT "Record" FROM table_14960 WHERE "Score" = '9-4' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2534,
27699,
41,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
434,
32,
7,
7,
121,
1499,
6,
96,
188,
17,
324,
26,
663... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
1649,
7621,
121,
21680,
953,
834,
2534,
27699,
549,
17444,
427,
96,
134,
9022,
121,
3274,
3,
31,
1298,
4278,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Constituency number for Meerut? | CREATE TABLE table_60390 (
"Constituency number" text,
"Name" text,
"Reserved for ( SC / ST /None)" text,
"District" text,
"Number of electorates (2009)" real
) | SELECT "Constituency number" FROM table_60390 WHERE "Name" = 'meerut' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3328,
519,
2394,
41,
96,
4302,
2248,
17,
76,
4392,
381,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
1649,
3473,
15,
26,
21,
41,
6508,
3,
87,
5097,
3,
87,
567,
782,
61,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
4302,
2248,
17,
76,
4392,
381,
121,
21680,
953,
834,
3328,
519,
2394,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
526,
15,
6830,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
who won mens doubles when zhou mi won womens singles | CREATE TABLE table_23680 (
"Year" real,
"Mens singles" text,
"Womens singles" text,
"Mens doubles" text,
"Womens doubles" text,
"Mixed doubles" text
) | SELECT "Mens doubles" FROM table_23680 WHERE "Womens singles" = 'Zhou Mi' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3420,
2079,
41,
96,
476,
2741,
121,
490,
6,
96,
329,
35,
7,
712,
7,
121,
1499,
6,
96,
518,
32,
904,
7,
712,
7,
121,
1499,
6,
96,
329,
35,
7,
1486,
7,
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,
329,
35,
7,
1486,
7,
121,
21680,
953,
834,
357,
3420,
2079,
549,
17444,
427,
96,
518,
32,
904,
7,
712,
7,
121,
3274,
3,
31,
956,
9492,
2133,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which method has a record of 11-10? | CREATE TABLE table_name_70 (
method VARCHAR,
record VARCHAR
) | SELECT method FROM table_name_70 WHERE record = "11-10" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
1573,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
1573,
65,
3,
9,
1368,
13,
850,
4536,
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,
1573,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
1368,
3274,
96,
2596,
4536,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many laps did Duke Nelson complete when his qualifying time was 122.951? | CREATE TABLE table_14613 (
"Year" text,
"Start" text,
"Qual" text,
"Rank" text,
"Finish" text,
"Laps" real
) | SELECT SUM("Laps") FROM table_14613 WHERE "Qual" = '122.951' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24300,
2368,
41,
96,
476,
2741,
121,
1499,
6,
96,
7681,
17,
121,
1499,
6,
96,
5991,
138,
121,
1499,
6,
96,
22557,
121,
1499,
6,
96,
371,
77,
1273,
121,
1499,
6,
96,
361... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3612,
102,
7,
8512,
21680,
953,
834,
24300,
2368,
549,
17444,
427,
96,
5991,
138,
121,
3274,
3,
31,
2122,
27297,
5553,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Give me a histogram for what are the different parties of representative? Show the party name and the number of representatives in each party, and show total number in asc order please. | CREATE TABLE election (
Election_ID int,
Representative_ID int,
Date text,
Votes real,
Vote_Percent real,
Seats real,
Place real
)
CREATE TABLE representative (
Representative_ID int,
Name text,
State text,
Party text,
Lifespan text
) | SELECT Party, COUNT(*) FROM representative GROUP BY Party ORDER BY COUNT(*) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4356,
41,
19488,
834,
4309,
16,
17,
6,
13517,
834,
4309,
16,
17,
6,
7678,
1499,
6,
3152,
1422,
490,
6,
3152,
17,
15,
834,
12988,
3728,
490,
6,
15915,
7,
490,
6,
3399,
490,
3,
61,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3450,
6,
2847,
17161,
599,
1935,
61,
21680,
6978,
350,
4630,
6880,
272,
476,
3450,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
how many recordings of nabucco have been made ? | CREATE TABLE table_202_32 (
id number,
"year" text,
"cast\n(nabucco, abigaille, zaccaria, ismaele, fenena)" text,
"conductor,\nopera house and orchestra" text,
"label" text
) | SELECT COUNT(*) FROM table_202_32 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19818,
834,
2668,
41,
3,
23,
26,
381,
6,
96,
1201,
121,
1499,
6,
96,
5254,
2,
29,
599,
29,
9,
115,
17431,
32,
6,
3,
9,
12911,
14424,
6,
3,
172,
6004,
6286,
6,
19,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
953,
834,
19818,
834,
2668,
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,
-10... |
Name the opponent for 10-04-2007 | CREATE TABLE table_4450 (
"Runs (Balls)" text,
"Wicket" text,
"Partnerships" text,
"Opponent" text,
"Venue" text,
"Date" text
) | SELECT "Opponent" FROM table_4450 WHERE "Date" = '10-04-2007' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3628,
1752,
41,
96,
448,
202,
7,
41,
279,
1748,
7,
61,
121,
1499,
6,
96,
518,
447,
8044,
121,
1499,
6,
96,
13725,
687,
2009,
7,
121,
1499,
6,
96,
667,
102,
9977,
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,
667,
102,
9977,
121,
21680,
953,
834,
3628,
1752,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
1714,
18083,
18,
20615,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the Segment A for when Segment C is s Sailboard? | CREATE TABLE table_15187735_6 (
segment_a VARCHAR,
segment_c VARCHAR
) | SELECT segment_a FROM table_15187735_6 WHERE segment_c = "s Sailboard" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26578,
27697,
2469,
834,
948,
41,
5508,
834,
9,
584,
4280,
28027,
6,
5508,
834,
75,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
15696,
297,
71,
21,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5508,
834,
9,
21680,
953,
834,
26578,
27697,
2469,
834,
948,
549,
17444,
427,
5508,
834,
75,
3274,
96,
7,
1138,
173,
1976,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is Type, when Number of Bearers 2008 is greater than 12.376, when Rank is greater than 3, and when Etymology is Son of Jens? | CREATE TABLE table_name_68 (type VARCHAR, etymology VARCHAR, number_of_bearers_2008 VARCHAR, rank VARCHAR) | SELECT type FROM table_name_68 WHERE number_of_bearers_2008 > 12.376 AND rank > 3 AND etymology = "son of jens" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
6137,
584,
4280,
28027,
6,
3,
15,
17,
63,
51,
1863,
584,
4280,
28027,
6,
381,
834,
858,
834,
346,
291,
277,
834,
16128,
584,
4280,
28027,
6,
11003,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
686,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
381,
834,
858,
834,
346,
291,
277,
834,
16128,
2490,
8013,
519,
3959,
3430,
11003,
2490,
220,
3430,
3,
15,
17,
63,
51,
1863,
3274,
96,
739,
13,
528,
29,
7,
... |
Which Opponents have a Year of 1999–2000, and a Team of leeds united? | CREATE TABLE table_name_78 (opponents VARCHAR, year VARCHAR, team VARCHAR) | SELECT opponents FROM table_name_78 WHERE year = "1999–2000" AND team = "leeds united" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
32,
102,
9977,
7,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
4495,
9977,
7,
43,
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,
0,
0... | [
3,
23143,
14196,
16383,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
215,
3274,
96,
2294,
3264,
104,
13527,
121,
3430,
372,
3274,
96,
40,
6958,
7,
18279,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and code , and group by attribute founder, and show from high to low by the Name. | CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
) | SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T1.Name DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7554,
41,
3636,
3,
21342,
17966,
6,
5570,
584,
4280,
28027,
599,
25502,
201,
5312,
3396,
254,
26330,
434,
6,
15248,
3,
21342,
17966,
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,
332,
5411,
23954,
6,
332,
5411,
22737,
21680,
7554,
6157,
332,
536,
3,
15355,
3162,
15248,
7,
6157,
332,
357,
9191,
332,
5411,
7296,
76,
8717,
450,
49,
3274,
332,
4416,
22737,
350,
4630,
6880,
272,
476,
3,
19145,
6,... |
Who wrote the episode that originally aired April 29, 1994? | CREATE TABLE table_2468961_4 (
written_by VARCHAR,
original_air_date VARCHAR
) | SELECT written_by FROM table_2468961_4 WHERE original_air_date = "April 29, 1994" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
3651,
4314,
536,
834,
591,
41,
1545,
834,
969,
584,
4280,
28027,
6,
926,
834,
2256,
834,
5522,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
2832,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1545,
834,
969,
21680,
953,
834,
2266,
3651,
4314,
536,
834,
591,
549,
17444,
427,
926,
834,
2256,
834,
5522,
3274,
96,
23323,
14405,
7520,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What school did Patrick O'Bryant play for? | CREATE TABLE table_10015132_14 (school_club_team VARCHAR, player VARCHAR) | SELECT school_club_team FROM table_10015132_14 WHERE player = "Patrick O'Bryant" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2915,
1808,
23757,
834,
2534,
41,
6646,
834,
13442,
834,
11650,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
496,
410,
8643,
411,
31,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
496,
834,
13442,
834,
11650,
21680,
953,
834,
2915,
1808,
23757,
834,
2534,
549,
17444,
427,
1959,
3274,
96,
20742,
2406,
411,
31,
279,
651,
288,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
I want the lowest Laps for time/retired of engine and driver of charles de tornaco | CREATE TABLE table_name_22 (laps INTEGER, time_retired VARCHAR, driver VARCHAR) | SELECT MIN(laps) FROM table_name_22 WHERE time_retired = "engine" AND driver = "charles de tornaco" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
8478,
7,
3,
21342,
17966,
6,
97,
834,
10682,
1271,
584,
4280,
28027,
6,
2535,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
27,
241,
8,
7402,
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,
3,
17684,
599,
8478,
7,
61,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
97,
834,
10682,
1271,
3274,
96,
20165,
121,
3430,
2535,
3274,
96,
4059,
965,
20,
12,
52,
11962,
32,
121,
1,
-100,
-100,
-100,
-100,
-1... |
Which away team scored 16.12 (108)? | CREATE TABLE table_54716 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Away team" FROM table_54716 WHERE "Away team score" = '16.12 (108)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
4177,
2938,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
188,
1343,
372,
121,
21680,
953,
834,
755,
4177,
2938,
549,
17444,
427,
96,
188,
1343,
372,
2604,
121,
3274,
3,
31,
2938,
5,
2122,
11704,
13520,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is Canada's score? | CREATE TABLE table_80159 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
) | SELECT "Score" FROM table_80159 WHERE "Country" = 'canada' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2079,
27904,
41,
96,
345,
11706,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
3696,
260,
121,
1499,
3,
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,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
96,
134,
9022,
121,
21680,
953,
834,
2079,
27904,
549,
17444,
427,
96,
10628,
651,
121,
3274,
3,
31,
658,
18089,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Where the away team is Bradford City, who is the home team? | CREATE TABLE table_name_83 (home_team VARCHAR, away_team VARCHAR) | SELECT home_team FROM table_name_83 WHERE away_team = "bradford city" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
5515,
834,
11650,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2840,
8,
550,
372,
19,
28869,
896,
6,
113,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
234,
834,
11650,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
550,
834,
11650,
3274,
96,
1939,
26,
2590,
690,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What try bonus drew 0 and scored 427 points for? | CREATE TABLE table_name_83 (try_bonus VARCHAR, drawn VARCHAR, points_for VARCHAR) | SELECT try_bonus FROM table_name_83 WHERE drawn = "0" AND points_for = "427" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
8224,
834,
5407,
302,
584,
4280,
28027,
6,
6796,
584,
4280,
28027,
6,
979,
834,
1161,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
653,
4023... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
653,
834,
5407,
302,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
6796,
3274,
96,
632,
121,
3430,
979,
834,
1161,
3274,
96,
591,
2555,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the broadcast for davis-wade stadium • starkville ms | CREATE TABLE table_26842217_18 (broadcast VARCHAR, site VARCHAR) | SELECT broadcast FROM table_26842217_18 WHERE site = "Davis-Wade Stadium • Starkville MS" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2688,
4608,
2884,
2517,
834,
2606,
41,
115,
8635,
5254,
584,
4280,
28027,
6,
353,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
6878,
21,
836,
3466,
18,
210,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6878,
21680,
953,
834,
2688,
4608,
2884,
2517,
834,
2606,
549,
17444,
427,
353,
3274,
96,
308,
2960,
7,
18,
518,
9,
221,
12750,
1697,
2042,
157,
1420,
5266,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What manufacturer made 6 and preserved 1? | CREATE TABLE table_8807 (
"Class" text,
"Wheel arrangement" text,
"Fleet number(s)" text,
"Manufacturer" text,
"Year made" text,
"Quantity made" text,
"Quantity preserved" text
) | SELECT "Manufacturer" FROM table_8807 WHERE "Quantity made" = '6' AND "Quantity preserved" = '1' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4060,
4560,
41,
96,
21486,
121,
1499,
6,
96,
518,
88,
15,
40,
8641,
121,
1499,
6,
96,
371,
109,
15,
17,
381,
599,
7,
61,
121,
1499,
6,
96,
7296,
76,
8717,
450,
49,
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,
7296,
76,
8717,
450,
49,
121,
21680,
953,
834,
4060,
4560,
549,
17444,
427,
96,
5991,
288,
485,
263,
121,
3274,
3,
31,
948,
31,
3430,
96,
5991,
288,
485,
18570,
121,
3274,
3,
31,
536,
31,
1,
-100,
-100,
-100... |
Who was the replacement for the Brussels team with a date of vacancy of 22 December 2007? | CREATE TABLE table_name_46 (
replaced_by VARCHAR,
team VARCHAR,
date_of_vacancy VARCHAR
) | SELECT replaced_by FROM table_name_46 WHERE team = "brussels" AND date_of_vacancy = "22 december 2007" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4448,
41,
5821,
834,
969,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
6,
833,
834,
858,
834,
29685,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5821,
834,
969,
21680,
953,
834,
4350,
834,
4448,
549,
17444,
427,
372,
3274,
96,
9052,
9816,
7,
121,
3430,
833,
834,
858,
834,
29685,
3274,
96,
2884,
20,
75,
18247,
4101,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,... |
papers on Liquid Automatica | CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE journal (
journalid int,
journalname va... | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase, venue WHERE keyphrase.keyphrasename = 'Liquid' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND venue.venueid = paper.venueid AND venue.venuename = 'Automatica' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1040,
6757,
2244,
41,
1040,
23,
26,
16,
17,
6,
17953,
23,
26,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
5669,
41,
5669,
23,
26,
16,
17,
6,
5669,
4350,
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,
15438,
25424,
6227,
1040,
5,
19587,
23,
26,
21680,
843,
27111,
6,
1040,
6,
1040,
4397,
27111,
6,
5669,
549,
17444,
427,
843,
27111,
5,
4397,
27111,
4350,
3274,
3,
31,
434,
23,
1169,
26,
31,
3430,
1040,
4397,
27... |
international prostate symptom score ( ipss ) > 19 ( severe ) | CREATE TABLE table_train_264 (
"id" int,
"stroke" bool,
"hematocrit_hct" float,
"serum_psa" float,
"coronary_artery_disease_cad" bool,
"international_prostate_symptom_score_ipss" int,
"hypertension" bool,
"NOUSE" float
) | SELECT * FROM table_train_264 WHERE international_prostate_symptom_score_ipss > 19 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9719,
834,
26755,
41,
96,
23,
26,
121,
16,
17,
6,
96,
24790,
121,
3,
12840,
40,
6,
96,
6015,
9,
235,
12563,
834,
107,
75,
17,
121,
3,
12660,
6,
96,
7,
49,
440,
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,
1429,
21680,
953,
834,
9719,
834,
26755,
549,
17444,
427,
1038,
834,
1409,
5540,
834,
18018,
834,
7,
9022,
834,
15432,
7,
2490,
957,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
how many days has been passed since the last time patient 005-48105 stayed in ward 267 in the current hospital encounter? | 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 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.unitadmittime)) FROM patient WHERE patient.uniquepid = '005-48105' AND patient.wardid = 267 AND patient.hospitaldischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1 | [
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,
209,
1429,
41,
13733,
6245,
15382,
599,
31,
1454,
354,
31,
6,
3,
5211,
12224,
6431,
834,
382,
15382,
9960,
61,
3,
18,
3,
13733,
6245,
15382,
599,
31,
1454,
354,
31,
6,
1868,
5,
15129,
20466,
17,
715,
61,
61,
216... |
What is the location of the track that opened in 1950? | CREATE TABLE table_17687 (
"Track Name" text,
"Location" text,
"Length" text,
"Seating" real,
"Year Opened" real,
"Year Acquired [A ]" real
) | SELECT "Location" FROM table_17687 WHERE "Year Opened" = '1950' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26782,
4225,
41,
96,
382,
16729,
5570,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
434,
4606,
189,
121,
1499,
6,
96,
134,
15,
1014,
121,
490,
6,
96,
476,
2741... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
32,
75,
257,
121,
21680,
953,
834,
26782,
4225,
549,
17444,
427,
96,
476,
2741,
2384,
15,
26,
121,
3274,
3,
31,
2294,
1752,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Show all origins and the number of flights from each origin by a bar chart, list by the X from high to low. | CREATE TABLE aircraft (
aid number(9,0),
name varchar2(30),
distance number(6,0)
)
CREATE TABLE certificate (
eid number(9,0),
aid number(9,0)
)
CREATE TABLE flight (
flno number(4,0),
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
... | SELECT origin, COUNT(*) FROM flight GROUP BY origin ORDER BY origin DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
6442,
41,
3052,
381,
599,
1298,
6,
632,
201,
564,
3,
4331,
4059,
357,
599,
1458,
201,
2357,
381,
599,
11071,
632,
61,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
6017... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
5233,
6,
2847,
17161,
599,
1935,
61,
21680,
3777,
350,
4630,
6880,
272,
476,
5233,
4674,
11300,
272,
476,
5233,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the resurrection of 144,000 date with a Christ made king date in 1914, a separting sheep & goats date during Christ's presence, and a judgment of religion date in 1878? | CREATE TABLE table_name_63 (resurrection_of144 VARCHAR, judgmentof_religion VARCHAR, christ_madeking VARCHAR, separating_sheep_ VARCHAR, goats VARCHAR) | SELECT resurrection_of144, 000 FROM table_name_63 WHERE christ_madeking = "1914" AND separating_sheep_ & goats = "during christ's presence" AND judgmentof_religion = "1878" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3891,
41,
60,
3042,
60,
4985,
834,
858,
20885,
584,
4280,
28027,
6,
7661,
858,
834,
60,
2825,
23,
106,
584,
4280,
28027,
6,
3,
15294,
834,
4725,
1765,
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,
27621,
834,
858,
20885,
6,
6078,
21680,
953,
834,
4350,
834,
3891,
549,
17444,
427,
3,
15294,
834,
4725,
1765,
3274,
96,
2294,
2534,
121,
3430,
3,
26427,
834,
7,
88,
15,
102,
834,
3,
184,
18174,
7,
3274,
96,
26,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.