NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Who is the arranger for Ana Rouh? | CREATE TABLE table_name_29 (arranger VARCHAR, title VARCHAR) | SELECT arranger FROM table_name_29 WHERE title = "ana rouh" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
10116,
9369,
584,
4280,
28027,
6,
2233,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
19,
8,
8031,
52,
21,
5331,
10898,
107,
58,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
8031,
52,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
2233,
3274,
96,
152,
9,
3,
3964,
107,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is Bob Gilder in Place T3's To par? | CREATE TABLE table_name_43 (to_par VARCHAR, place VARCHAR, player VARCHAR) | SELECT to_par FROM table_name_43 WHERE place = "t3" AND player = "bob gilder" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4906,
41,
235,
834,
1893,
584,
4280,
28027,
6,
286,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
5762,
12798,
588,
16,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
12,
834,
1893,
21680,
953,
834,
4350,
834,
4906,
549,
17444,
427,
286,
3274,
96,
17,
519,
121,
3430,
1959,
3274,
96,
17396,
3,
122,
173,
588,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
return me the keyword, which have been contained by the most number of papers by ' H. V. Jagadish ' . | CREATE TABLE publication_keyword (
kid int,
pid int
)
CREATE TABLE publication (
abstract varchar,
cid int,
citation_num int,
jid int,
pid int,
reference_num int,
title varchar,
year int
)
CREATE TABLE keyword (
keyword varchar,
kid int
)
CREATE TABLE domain_journal (
... | SELECT keyword.keyword FROM author, keyword, publication, publication_keyword, writes WHERE author.name = 'H. V. Jagadish' AND publication_keyword.kid = keyword.kid AND publication.pid = publication_keyword.pid AND writes.aid = author.aid AND writes.pid = publication.pid GROUP BY keyword.keyword ORDER BY COUNT(DISTINCT... | [
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,
5707,
41,
9838,
3,
4331,
4059,
6,
3,
10812,
16,
17,
6,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
15693,
5,
4397,
6051,
21680,
2291,
6,
15693,
6,
5707,
6,
5707,
834,
4397,
6051,
6,
11858,
549,
17444,
427,
2291,
5,
4350,
3274,
3,
31,
566,
5,
584,
5,
21520,
9,
26,
1273,
31,
3430,
5707,
834,
4397,
6051,
5,
2168... |
Who was the opponent of the match in round sf with a result of 0-0? | CREATE TABLE table_name_97 (opponent VARCHAR, round VARCHAR, result VARCHAR) | SELECT opponent FROM table_name_97 WHERE round = "sf" AND result = "0-0" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4327,
41,
32,
102,
9977,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
8,
15264,
13,
8,
158... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15264,
21680,
953,
834,
4350,
834,
4327,
549,
17444,
427,
1751,
3274,
96,
7,
89,
121,
3430,
741,
3274,
96,
18629,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who is the Winner on June 2, 2007? | CREATE TABLE table_77771 (
"Date" text,
"Team 1" text,
"Team 2" text,
"Winner" text,
"Delta" text,
"Score" text
) | SELECT "Winner" FROM table_77771 WHERE "Date" = 'june 2, 2007' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26225,
4450,
41,
96,
308,
342,
121,
1499,
6,
96,
18699,
209,
121,
1499,
6,
96,
18699,
204,
121,
1499,
6,
96,
18455,
687,
121,
1499,
6,
96,
2962,
40,
17,
9,
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,
18455,
687,
121,
21680,
953,
834,
26225,
4450,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
6959,
15,
3547,
4101,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the song title on the Pacific Jazz label, and a Label-Nr of st-20124? | CREATE TABLE table_name_3 (
title VARCHAR,
label VARCHAR,
Nr VARCHAR,
st VARCHAR
) | SELECT title FROM table_name_3 WHERE label = "pacific jazz" AND label - Nr = st - 20124 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
519,
41,
2233,
584,
4280,
28027,
6,
3783,
584,
4280,
28027,
6,
16750,
584,
4280,
28027,
6,
3,
7,
17,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2233,
21680,
953,
834,
4350,
834,
519,
549,
17444,
427,
3783,
3274,
96,
5379,
3286,
9948,
121,
3430,
3783,
3,
18,
16750,
3274,
3,
7,
17,
3,
18,
1673,
591,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the largest crowd for the St Kilda as the away team? | CREATE TABLE table_name_26 (crowd INTEGER, away_team VARCHAR) | SELECT MAX(crowd) FROM table_name_26 WHERE away_team = "st kilda" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2688,
41,
75,
3623,
26,
3,
21342,
17966,
6,
550,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2015,
4374,
21,
8,
472,
12672,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
75,
3623,
26,
61,
21680,
953,
834,
4350,
834,
2688,
549,
17444,
427,
550,
834,
11650,
3274,
96,
7,
17,
3,
157,
173,
26,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the note for catalog of 32xa-106 | CREATE TABLE table_name_73 (note VARCHAR, catalog VARCHAR) | SELECT note FROM table_name_73 WHERE catalog = "32xa-106" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
7977,
584,
4280,
28027,
6,
10173,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
2232,
21,
10173,
13,
3538,
226,
9,
18,
16431,
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,
2232,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
10173,
3274,
96,
2668,
226,
9,
18,
16431,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which driver was number 2‡? | CREATE TABLE table_20159025_1 (driver VARCHAR, no VARCHAR) | SELECT driver FROM table_20159025_1 WHERE no = "2‡" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
8651,
2394,
1828,
834,
536,
41,
13739,
52,
584,
4280,
28027,
6,
150,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
2535,
47,
381,
204,
2,
58,
1,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2535,
21680,
953,
834,
8651,
2394,
1828,
834,
536,
549,
17444,
427,
150,
3274,
96,
357,
2,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the number of wins when there are 7 points? | CREATE TABLE table_name_6 (
wins VARCHAR,
points VARCHAR
) | SELECT wins FROM table_name_6 WHERE points = 7 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
948,
41,
9204,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
381,
13,
9204,
116,
132,
33,
489,
979,
58,
1,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
9204,
21680,
953,
834,
4350,
834,
948,
549,
17444,
427,
979,
3274,
489,
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,
... |
How many reports are there in the race that Forsythe Racing won and Teo Fabi had the pole position in? | CREATE TABLE table_10706961_2 (
report VARCHAR,
winning_team VARCHAR,
pole_position VARCHAR
) | SELECT COUNT(report) FROM table_10706961_2 WHERE winning_team = "Forsythe Racing" AND pole_position = "Teo Fabi" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1714,
2518,
3951,
4241,
834,
357,
41,
934,
584,
4280,
28027,
6,
3447,
834,
11650,
584,
4280,
28027,
6,
11148,
834,
4718,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
3210... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
60,
1493,
61,
21680,
953,
834,
1714,
2518,
3951,
4241,
834,
357,
549,
17444,
427,
3447,
834,
11650,
3274,
96,
3809,
7,
63,
532,
16046,
121,
3430,
11148,
834,
4718,
3274,
96,
382,
15,
32,
3,
17477,
... |
How much does the most expensive charge type costs? | CREATE TABLE Charges (charge_amount INTEGER) | SELECT MAX(charge_amount) FROM Charges | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
15907,
7,
41,
7993,
834,
9,
11231,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
571,
231,
405,
8,
167,
2881,
1567,
686,
1358,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
7993,
834,
9,
11231,
61,
21680,
15907,
7,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which bubble have a cancelable of yes and an attribute of onpointerdown? | CREATE TABLE table_35694 (
"Category" text,
"Type" text,
"Attribute" text,
"Bubbles" text,
"Cancelable" text
) | SELECT "Bubbles" FROM table_35694 WHERE "Cancelable" = 'yes' AND "Attribute" = 'onpointerdown' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2469,
3951,
591,
41,
96,
18610,
6066,
651,
121,
1499,
6,
96,
25160,
121,
1499,
6,
96,
188,
17,
5135,
17,
15,
121,
1499,
6,
96,
7793,
7310,
7,
121,
1499,
6,
96,
254,
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,
7793,
7310,
7,
121,
21680,
953,
834,
2469,
3951,
591,
549,
17444,
427,
96,
254,
663,
40,
179,
121,
3274,
3,
31,
10070,
31,
3430,
96,
188,
17,
5135,
17,
15,
121,
3274,
3,
31,
106,
2700,
49,
3035,
31,
1,
-10... |
what was the last time that patient 006-122587 was prescribed for a drug in the first hospital visit? | CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE medication (
medi... | SELECT medication.drugstarttime FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-122587' AND NOT patient.hospitaldischargetime IS NULL ORDE... | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3362,
4267,
32,
4370,
41,
3362,
4267,
32,
26,
1294,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2912,
381,
6,
3,
7,
9,
32,
357,
381,
6,
842,
2206,
381,
6,
14114,
257,
381,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
7757,
5,
26,
13534,
10208,
715,
21680,
7757,
549,
17444,
427,
7757,
5,
10061,
15129,
21545,
23,
26,
3388,
41,
23143,
14196,
1868,
5,
10061,
15129,
21545,
23,
26,
21680,
1868,
549,
17444,
427,
1868,
5,
10061,
15878,
37... |
fasted plasma glucose at screening visit <= 260 mg / dl ( 14.44 mmol / l ) | CREATE TABLE table_train_237 (
"id" int,
"fasting_c_peptide" float,
"fasting_plasma_glucose" int,
"smoking" bool,
"body_mass_index_bmi" float,
"serum_25_oh_d_levels" int,
"NOUSE" float
) | SELECT * FROM table_train_237 WHERE fasting_plasma_glucose <= 260 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9719,
834,
357,
4118,
41,
96,
23,
26,
121,
16,
17,
6,
96,
11584,
53,
834,
75,
834,
21826,
15,
121,
3,
12660,
6,
96,
11584,
53,
834,
21178,
9,
834,
13492,
509,
7,
15,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1429,
21680,
953,
834,
9719,
834,
357,
4118,
549,
17444,
427,
1006,
53,
834,
21178,
9,
834,
13492,
509,
7,
15,
3,
2,
2423,
3,
18365,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Find the oldest age for students with different sex in a bar chart, I want to show from high to low by the names. | CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Ad... | SELECT Sex, MAX(Age) FROM Student GROUP BY Sex ORDER BY Sex DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3306,
7,
834,
77,
41,
21341,
23,
26,
3,
21342,
17966,
6,
103,
52,
6983,
3,
21342,
17966,
6,
562,
834,
5525,
1152,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
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,
679,
226,
6,
4800,
4,
599,
188,
397,
61,
21680,
6341,
350,
4630,
6880,
272,
476,
679,
226,
4674,
11300,
272,
476,
679,
226,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of first_name and manager_id , and order by the FIRST_NAME in descending. | 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 FIRST_NAME, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY FIRST_NAME 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,
30085,
834,
567,
17683,
6,
283,
15610,
17966,
834,
4309,
21680,
1652,
549,
17444,
427,
4486,
3396,
19846,
11810,
834,
4309,
3388,
41,
23143,
14196,
3396,
19846,
11810,
834,
4309,
21680,
10521,
549,
17444,
427,
283,
15610,... |
List the ship with 1x115-2x70-2x12-pounders for primary artillery. | CREATE TABLE table_23614702_2 (warship VARCHAR, main_artillery VARCHAR) | SELECT warship FROM table_23614702_2 WHERE main_artillery = "1x115-2x70-2x12-pounders" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3420,
24719,
4305,
834,
357,
41,
2910,
2009,
584,
4280,
28027,
6,
711,
834,
1408,
7613,
63,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
6792,
8,
4383,
28,
209,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
615,
2009,
21680,
953,
834,
357,
3420,
24719,
4305,
834,
357,
549,
17444,
427,
711,
834,
1408,
7613,
63,
3274,
96,
536,
226,
15660,
4949,
226,
2518,
4949,
226,
2122,
18,
8861,
277,
121,
1,
-100,
-100,
-100,
-100,
-1... |
What's the record of Game 70? | CREATE TABLE table_name_77 (
record VARCHAR,
game VARCHAR
) | SELECT record FROM table_name_77 WHERE game = 70 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4013,
41,
1368,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
31,
7,
8,
1368,
13,
4435,
2861,
58,
1,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1368,
21680,
953,
834,
4350,
834,
4013,
549,
17444,
427,
467,
3274,
2861,
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... |
Return the number of the categories of music festivals that have the result 'Awarded', and display Y from high to low order. | CREATE TABLE volume (
Volume_ID int,
Volume_Issue text,
Issue_Date text,
Weeks_on_Top real,
Song text,
Artist_ID int
)
CREATE TABLE artist (
Artist_ID int,
Artist text,
Age int,
Famous_Title text,
Famous_Release_date text
)
CREATE TABLE music_festival (
ID int,
Musi... | SELECT Category, COUNT(Category) FROM music_festival WHERE Result = "Awarded" GROUP BY Category ORDER BY COUNT(Category) DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2908,
41,
14816,
834,
4309,
16,
17,
6,
14816,
834,
196,
7,
7,
76,
15,
1499,
6,
13235,
834,
308,
342,
1499,
6,
6551,
7,
834,
106,
834,
22481,
490,
6,
11263,
1499,
6,
9152,
834,
43... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
17459,
6,
2847,
17161,
599,
18610,
6066,
651,
61,
21680,
723,
834,
89,
24742,
549,
17444,
427,
3,
20119,
3274,
96,
188,
28288,
121,
350,
4630,
6880,
272,
476,
17459,
4674,
11300,
272,
476,
2847,
17161,
599,
18610,
606... |
What is the Status of the dinosaur, whose notes are, 'n coelurosauria'? | CREATE TABLE table_name_73 (
status VARCHAR,
notes VARCHAR
) | SELECT status FROM table_name_73 WHERE notes = "n coelurosauria" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
2637,
584,
4280,
28027,
6,
3358,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
19318,
13,
8,
21677,
6,
3,
2544,
3358,
33,
6,
3,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2637,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
3358,
3274,
96,
29,
576,
15,
40,
76,
1859,
9,
459,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who played in Maryland the same year that New Jersey hosted Somerset Hills LL Bernardsville? | CREATE TABLE table_13012165_1 (maryland VARCHAR, new_jersey VARCHAR) | SELECT maryland FROM table_13012165_1 WHERE new_jersey = "Somerset Hills LL Bernardsville" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
21448,
2122,
22823,
834,
536,
41,
1635,
28900,
584,
4280,
28027,
6,
126,
834,
12488,
7,
15,
63,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
1944,
16,
10271,
8,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3157,
28900,
21680,
953,
834,
21448,
2122,
22823,
834,
536,
549,
17444,
427,
126,
834,
12488,
7,
15,
63,
3274,
96,
19055,
52,
2244,
9807,
3,
10376,
14735,
9727,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is Authors, when Novelty is Gen Nov, when Location is South Africa, and when Name is Criocephalosaurus? | CREATE TABLE table_name_90 (authors VARCHAR, name VARCHAR, novelty VARCHAR, location VARCHAR) | SELECT authors FROM table_name_90 WHERE novelty = "gen nov" AND location = "south africa" AND name = "criocephalosaurus" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
17415,
7,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
6,
30372,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
5921,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
30372,
3274,
96,
729,
3,
5326,
121,
3430,
1128,
3274,
96,
7,
670,
107,
24040,
121,
3430,
564,
3274,
96,
2685,
32,
565,
21367,
32,
7348,
4502,
121,
1,
-100,
... |
What is the transfer fee for Gravgaard? | CREATE TABLE table_name_94 (
transfer_fee VARCHAR,
type VARCHAR,
name VARCHAR
) | SELECT transfer_fee FROM table_name_94 WHERE type = "transfer" AND name = "gravgaard" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4240,
41,
2025,
834,
89,
15,
15,
584,
4280,
28027,
6,
686,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2025,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2025,
834,
89,
15,
15,
21680,
953,
834,
4350,
834,
4240,
549,
17444,
427,
686,
3274,
96,
7031,
1010,
121,
3430,
564,
3274,
96,
15299,
122,
9,
986,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What Championship had a winning score of 69-71-67-68=275? | CREATE TABLE table_name_9 (championship VARCHAR, winning_score VARCHAR) | SELECT championship FROM table_name_9 WHERE winning_score = 69 - 71 - 67 - 68 = 275 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
17788,
12364,
2009,
584,
4280,
28027,
6,
3447,
834,
7,
9022,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
7666,
141,
3,
9,
3447,
2604,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
10183,
21680,
953,
834,
4350,
834,
1298,
549,
17444,
427,
3447,
834,
7,
9022,
3274,
3,
3951,
3,
18,
3,
4450,
3,
18,
3,
3708,
3,
18,
3,
3651,
3274,
3,
25988,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what is the number of patients whose ethnicity is white and lab test name is hyaline casts? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "WHITE" AND lab.label = "Hyaline Casts" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
What is the bleeding time for glanzmann's thrombasthenia? | CREATE TABLE table_2948 (
"Condition" text,
"Prothrombin time" text,
"Partial thromboplastin time" text,
"Bleeding time" text,
"Platelet count" text
) | SELECT "Bleeding time" FROM table_2948 WHERE "Condition" = 'Glanzmann''s thrombasthenia' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3166,
3707,
41,
96,
4302,
10569,
121,
1499,
6,
96,
3174,
8514,
51,
4517,
97,
121,
1499,
6,
96,
13212,
10646,
3,
8514,
6310,
23918,
77,
97,
121,
1499,
6,
96,
279,
40,
6958... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
279,
40,
6958,
53,
97,
121,
21680,
953,
834,
3166,
3707,
549,
17444,
427,
96,
4302,
10569,
121,
3274,
3,
31,
517,
40,
4557,
2434,
31,
31,
7,
3,
8514,
18015,
7,
189,
18242,
31,
1,
-100,
-100,
-100,
-100,
-100... |
what was the earliest released album ? | CREATE TABLE table_203_77 (
id number,
"album title" text,
"format" text,
"year" number,
"original label" text,
"chart positions" text
) | SELECT "album title" FROM table_203_77 ORDER BY "year" LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
4013,
41,
3,
23,
26,
381,
6,
96,
23703,
2233,
121,
1499,
6,
96,
8995,
121,
1499,
6,
96,
1201,
121,
381,
6,
96,
21878,
3783,
121,
1499,
6,
96,
4059,
17,
4655... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
23703,
2233,
121,
21680,
953,
834,
23330,
834,
4013,
4674,
11300,
272,
476,
96,
1201,
121,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
which party won the most number of time ? | CREATE TABLE table_203_372 (
id number,
"from" number,
"to" number,
"name" text,
"party" text,
"position" number
) | SELECT "party" FROM table_203_372 GROUP BY "party" ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
4118,
357,
41,
3,
23,
26,
381,
6,
96,
7152,
121,
381,
6,
96,
235,
121,
381,
6,
96,
4350,
121,
1499,
6,
96,
8071,
121,
1499,
6,
96,
4718,
121,
381,
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,
8071,
121,
21680,
953,
834,
23330,
834,
4118,
357,
350,
4630,
6880,
272,
476,
96,
8071,
121,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Tell me the highest year for result of 9th | CREATE TABLE table_name_98 (year INTEGER, result VARCHAR) | SELECT MAX(year) FROM table_name_98 WHERE result = "9th" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
1201,
3,
21342,
17966,
6,
741,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
2030,
215,
21,
741,
13,
668,
189,
1,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
1201,
61,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
741,
3274,
96,
1298,
189,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who wrote the episode that aired February 4, 2010? | CREATE TABLE table_23483182_1 (written_by VARCHAR, original_air_date VARCHAR) | SELECT written_by FROM table_23483182_1 WHERE original_air_date = "February 4, 2010" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
3707,
3341,
4613,
834,
536,
41,
14973,
834,
969,
584,
4280,
28027,
6,
926,
834,
2256,
834,
5522,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
2832,
8,
564... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1545,
834,
969,
21680,
953,
834,
2773,
3707,
3341,
4613,
834,
536,
549,
17444,
427,
926,
834,
2256,
834,
5522,
3274,
96,
31122,
6464,
2735,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which Home team faced the Away team, Hawthorn? | CREATE TABLE table_name_9 (
home_team VARCHAR,
away_team VARCHAR
) | SELECT home_team FROM table_name_9 WHERE away_team = "hawthorn" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
234,
834,
11650,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
1210,
372,
7865,
8,
71,
1343,
372,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1298,
549,
17444,
427,
550,
834,
11650,
3274,
96,
1024,
210,
17,
6293,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
tell me the number of patients with the prescription of gastroview (diatrizoate meglumine & sodium). | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Gastroview (Diatrizoate Meglumine & Sodium)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
18730,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
How much attendance has a Loss of roloson (11 5)? | CREATE TABLE table_79413 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Series" text,
"Arena" text
) | SELECT SUM("Attendance") FROM table_79413 WHERE "Loss" = 'roloson (11–5)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4440,
591,
2368,
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,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
188,
17,
324,
26,
663,
8512,
21680,
953,
834,
4440,
591,
2368,
549,
17444,
427,
96,
434,
32,
7,
7,
121,
3274,
3,
31,
3491,
32,
739,
41,
2596,
104,
9120,
31,
1,
-100,
-100,
-100,
-100,
-100,
... |
Draw a bar chart about the distribution of middle_name and gender_mf . | CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tutor_ATB VARCHAR(3),
login_name VARCHAR(40),
password VARCHAR(40),
personal_name VARCHAR(80),
middle_name VARCHAR(80),
family_name VARCHAR(80),
gender_mf VARCHAR(1),
address_line_1 VARCHAR(80)
)
CREATE TABLE Student... | SELECT middle_name, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8670,
834,
23602,
127,
7,
834,
232,
834,
28676,
7,
41,
2291,
834,
23,
26,
3,
21342,
17966,
6,
2291,
834,
17,
76,
17,
127,
834,
5767,
279,
584,
4280,
28027,
17867,
6,
11255,
834,
43... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2214,
834,
4350,
6,
7285,
834,
51,
89,
21680,
8670,
834,
23602,
127,
7,
834,
232,
834,
28676,
7,
4674,
11300,
272,
476,
525,
834,
4350,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is the location when the designer is glen peloso and the restaurant is joe boo's cookoos? | CREATE TABLE table_63664 (
"Restaurant Name" text,
"Original Name" text,
"Location" text,
"Chef" text,
"Designer" text,
"Still Open?" text
) | SELECT "Location" FROM table_63664 WHERE "Designer" = 'glen peloso' AND "Restaurant Name" = 'joe boo''s cookoos' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3891,
3539,
591,
41,
96,
448,
222,
402,
3569,
5570,
121,
1499,
6,
96,
667,
3380,
10270,
5570,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
29639,
121,
1499,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
32,
75,
257,
121,
21680,
953,
834,
3891,
3539,
591,
549,
17444,
427,
96,
19103,
49,
121,
3274,
3,
31,
3537,
29,
158,
2298,
32,
31,
3430,
96,
448,
222,
402,
3569,
5570,
121,
3274,
3,
31,
1927,
15,
3,
1... |
What are flight numbers of flights arriving at Airport "APG"? | CREATE TABLE FLIGHTS (FlightNo VARCHAR, DestAirport VARCHAR) | SELECT FlightNo FROM FLIGHTS WHERE DestAirport = "APG" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7212,
19114,
134,
41,
371,
2242,
4168,
584,
4280,
28027,
6,
2973,
17,
20162,
1493,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
33,
3777,
2302,
13,
7534,
15315,
44,
5735,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
16736,
4168,
21680,
7212,
19114,
134,
549,
17444,
427,
2973,
17,
20162,
1493,
3274,
96,
188,
7861,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the Ont of N.B. of 10 and normal total of 77 | CREATE TABLE table_name_5 (ont VARCHAR, nb VARCHAR, normal_total VARCHAR) | SELECT ont FROM table_name_5 WHERE nb = "10" AND normal_total = "77" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
755,
41,
1770,
584,
4280,
28027,
6,
3,
29,
115,
584,
4280,
28027,
6,
1389,
834,
235,
1947,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
461,
17,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
30,
17,
21680,
953,
834,
4350,
834,
755,
549,
17444,
427,
3,
29,
115,
3274,
96,
1714,
121,
3430,
1389,
834,
235,
1947,
3274,
96,
4013,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When was the ship tecumseh launched? | CREATE TABLE table_12592074_1 (launched VARCHAR, ship VARCHAR) | SELECT launched FROM table_12592074_1 WHERE ship = "Tecumseh" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
10124,
27749,
4581,
834,
536,
41,
27493,
15,
26,
584,
4280,
28027,
6,
4383,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
47,
8,
4383,
3,
5822,
440,
7,
15,
107,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3759,
21680,
953,
834,
10124,
27749,
4581,
834,
536,
549,
17444,
427,
4383,
3274,
96,
24757,
440,
7,
15,
107,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is Game, when Road Team is 'Syracuse', and when Result is '109-82'? | CREATE TABLE table_60403 (
"Game" text,
"Date" text,
"Home Team" text,
"Result" text,
"Road Team" text
) | SELECT "Game" FROM table_60403 WHERE "Road Team" = 'syracuse' AND "Result" = '109-82' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3328,
2445,
519,
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... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
23055,
121,
21680,
953,
834,
3328,
2445,
519,
549,
17444,
427,
96,
448,
32,
9,
26,
2271,
121,
3274,
3,
31,
7,
63,
3738,
1074,
31,
3430,
96,
20119,
121,
3274,
3,
31,
17304,
18,
4613,
31,
1,
-100,
-100,
-100,
... |
How many field goals were scored by the player that got 7 touchdowns? | CREATE TABLE table_3399 (
"Player" text,
"Touchdowns (5 points)" real,
"Extra points 1 point" real,
"Field goals (4 points)" real,
"Safeties (2 points)" real,
"Total Points" real
) | SELECT "Field goals (4 points)" FROM table_3399 WHERE "Touchdowns (5 points)" = '7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4201,
3264,
41,
96,
15800,
49,
121,
1499,
6,
96,
3696,
2295,
3035,
7,
9209,
979,
61,
121,
490,
6,
96,
5420,
1313,
979,
209,
500,
121,
490,
6,
96,
3183,
8804,
1766,
8457,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3183,
8804,
1766,
8457,
979,
61,
121,
21680,
953,
834,
4201,
3264,
549,
17444,
427,
96,
3696,
2295,
3035,
7,
9209,
979,
61,
121,
3274,
3,
31,
940,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How many grids have a Manufacturer of honda, a Rider of yuki takahashi, and more than 22 laps? | CREATE TABLE table_name_8 (
grid VARCHAR,
laps VARCHAR,
manufacturer VARCHAR,
rider VARCHAR
) | SELECT COUNT(grid) FROM table_name_8 WHERE manufacturer = "honda" AND rider = "yuki takahashi" AND laps > 22 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
8634,
584,
4280,
28027,
6,
14941,
7,
584,
4280,
28027,
6,
4818,
584,
4280,
28027,
6,
2564,
52,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
3496,
26,
61,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
4818,
3274,
96,
31782,
121,
3430,
2564,
52,
3274,
96,
63,
1598,
23,
3,
17,
5667,
107,
17155,
121,
3430,
14941,
7,
2490,
1630,
1,
-1... |
What position was played by the player during 1986 1991 1997 1999? | CREATE TABLE table_45427 (
"Player" text,
"Nationality" text,
"Jersey Number(s)" text,
"Position" text,
"Years" text,
"From" text
) | SELECT "Position" FROM table_45427 WHERE "Years" = '1986 – 1991 1997 – 1999' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2128,
591,
2555,
41,
96,
15800,
49,
121,
1499,
6,
96,
24732,
485,
121,
1499,
6,
96,
683,
277,
15,
63,
7720,
599,
7,
61,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
345,
32,
7,
4749,
121,
21680,
953,
834,
2128,
591,
2555,
549,
17444,
427,
96,
476,
2741,
7,
121,
3274,
3,
31,
2294,
3840,
3,
104,
9957,
6622,
3,
104,
5247,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What are the unique names of races that held after 2000 and the circuits were in Spain? | CREATE TABLE races (name VARCHAR, circuitid VARCHAR, year VARCHAR); CREATE TABLE circuits (circuitid VARCHAR, country VARCHAR) | SELECT DISTINCT T1.name FROM races AS T1 JOIN circuits AS T2 ON T1.circuitid = T2.circuitid WHERE T2.country = "Spain" AND T1.year > 2000 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
10879,
41,
4350,
584,
4280,
28027,
6,
4558,
23,
26,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
4558,
7,
41,
15357,
21560,
23,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
332,
5411,
4350,
21680,
10879,
6157,
332,
536,
3,
15355,
3162,
4558,
7,
6157,
332,
357,
9191,
332,
5411,
15357,
21560,
23,
26,
3274,
332,
4416,
15357,
21560,
23,
26,
549,
17444,
427,
332,
4416,
... |
What's the 1991 when 1999 is 14? | CREATE TABLE table_name_25 (
Id VARCHAR
) | SELECT 1991 FROM table_name_25 WHERE 1999 = "14" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1828,
41,
27,
26,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
31,
7,
8,
9957,
116,
5247,
19,
968,
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,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
9957,
21680,
953,
834,
4350,
834,
1828,
549,
17444,
427,
5247,
3274,
96,
2534,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many titles were released on 21 October 1992? | CREATE TABLE table_18590048_1 (
rank VARCHAR,
release_date VARCHAR
) | SELECT COUNT(rank) FROM table_18590048_1 WHERE release_date = "21 October 1992" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
21594,
7015,
3707,
834,
536,
41,
11003,
584,
4280,
28027,
6,
1576,
834,
5522,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
8342,
130,
1883,
30,
1401,
179... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
6254,
61,
21680,
953,
834,
21594,
7015,
3707,
834,
536,
549,
17444,
427,
1576,
834,
5522,
3274,
96,
2658,
1797,
9047,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the Format for Branding of 1290 wkbk w281au 104.1? | CREATE TABLE table_38 (
"Calls" text,
"Frequency" text,
"Branding" text,
"Format" text,
"Market/Rank" text,
"Timeslot" text,
"Group owner" text
) | SELECT "Format" FROM table_38 WHERE "Branding" = '1290 WKBK W281AU 104.1' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3747,
41,
96,
254,
1748,
7,
121,
1499,
6,
96,
371,
60,
835,
11298,
121,
1499,
6,
96,
18304,
727,
53,
121,
1499,
6,
96,
3809,
3357,
121,
1499,
6,
96,
22572,
87,
22557,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3809,
3357,
121,
21680,
953,
834,
3747,
549,
17444,
427,
96,
18304,
727,
53,
121,
3274,
3,
31,
2122,
2394,
549,
17827,
439,
549,
2577,
536,
6727,
335,
19708,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What's the location attendance of the milwaukee team? | CREATE TABLE table_27721131_2 (location_attendance VARCHAR, team VARCHAR) | SELECT location_attendance FROM table_27721131_2 WHERE team = "Milwaukee" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
4013,
2658,
22048,
834,
357,
41,
14836,
834,
15116,
663,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
31,
7,
8,
1128,
11364,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1128,
834,
15116,
663,
21680,
953,
834,
357,
4013,
2658,
22048,
834,
357,
549,
17444,
427,
372,
3274,
96,
329,
173,
210,
402,
1050,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the lowest number of the player with a hometown of Bellwood, IL? | CREATE TABLE table_name_90 (number INTEGER, hometown VARCHAR) | SELECT MIN(number) FROM table_name_90 WHERE hometown = "bellwood, il" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
5525,
1152,
3,
21342,
17966,
6,
22295,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7402,
381,
13,
8,
1959,
28,
3,
9,
22295,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
22295,
3274,
96,
7708,
2037,
6,
3,
173,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What event went under 3 rounds and was no contest (punch after knockdown)? | CREATE TABLE table_name_74 (event VARCHAR, round VARCHAR, method VARCHAR) | SELECT event FROM table_name_74 WHERE round < 3 AND method = "no contest (punch after knockdown)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4581,
41,
15,
2169,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
1573,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
605,
877,
365,
220,
14419,
11,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
605,
21680,
953,
834,
4350,
834,
4581,
549,
17444,
427,
1751,
3,
2,
220,
3430,
1573,
3274,
96,
29,
32,
4233,
41,
6225,
524,
227,
7673,
3035,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many deciles have a Gender of coed, an Authority of state, and a Name of mount maunganui school? | CREATE TABLE table_name_93 (decile INTEGER, name VARCHAR, gender VARCHAR, authority VARCHAR) | SELECT SUM(decile) FROM table_name_93 WHERE gender = "coed" AND authority = "state" AND name = "mount maunganui school" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
24223,
109,
3,
21342,
17966,
6,
564,
584,
4280,
28027,
6,
7285,
584,
4280,
28027,
6,
5015,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
24223,
109,
61,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
7285,
3274,
96,
509,
15,
26,
121,
3430,
5015,
3274,
96,
5540,
121,
3430,
564,
3274,
96,
11231,
954,
425,
9,
17965,
496,
121,
1,
-1... |
what number of patients diagnosed for acidosis stayed in the hospital for more than 7 days? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "7" AND diagnoses.short_title = "Acidosis" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14798,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
564,
1499,
6,
2774,
1947,
834,
8547,
302,
1499,
6,
1246,
1499,
6,
103,
115,
1499,
6,
7285,
1499,
6,
1612,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
What is the result of the game played at Jinan? | CREATE TABLE table_name_26 (result VARCHAR, venue VARCHAR) | SELECT result FROM table_name_26 WHERE venue = "jinan" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2688,
41,
60,
7,
83,
17,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
741,
13,
8,
467,
1944,
44,
20500,
152,
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,
1,
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,
2688,
549,
17444,
427,
5669,
3274,
96,
354,
77,
152,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Draw a pie chart for how many captains with younger than 50 are in each rank? | CREATE TABLE captain (
Captain_ID int,
Name text,
Ship_ID int,
age text,
Class text,
Rank text
)
CREATE TABLE Ship (
Ship_ID int,
Name text,
Type text,
Built_Year real,
Class text,
Flag text
) | SELECT Rank, COUNT(*) FROM captain WHERE age < 50 GROUP BY Rank | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14268,
41,
12202,
834,
4309,
16,
17,
6,
5570,
1499,
6,
15508,
834,
4309,
16,
17,
6,
1246,
1499,
6,
4501,
1499,
6,
3,
22557,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
33... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
22557,
6,
2847,
17161,
599,
1935,
61,
21680,
14268,
549,
17444,
427,
1246,
3,
2,
943,
350,
4630,
6880,
272,
476,
3,
22557,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
On the Date of March 13, who was the Home team? | CREATE TABLE table_name_96 (
home VARCHAR,
date VARCHAR
) | SELECT home FROM table_name_96 WHERE date = "march 13" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
234,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
461,
8,
7678,
13,
1332,
10670,
113,
47,
8,
1210,
372,
58,
1,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
234,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
833,
3274,
96,
51,
7064,
1179,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Show each author and the number of workshops they submitted to Show bar chart, and I want to order x-axis in descending order. | CREATE TABLE Acceptance (
Submission_ID int,
Workshop_ID int,
Result text
)
CREATE TABLE submission (
Submission_ID int,
Scores real,
Author text,
College text
)
CREATE TABLE workshop (
Workshop_ID int,
Date text,
Venue text,
Name text
) | SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY Author DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
20592,
663,
41,
29779,
834,
4309,
16,
17,
6,
9644,
834,
4309,
16,
17,
6,
3,
20119,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
8121,
41,
29779,
834,
4309,
16,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
10236,
6,
2847,
17161,
599,
15438,
25424,
6227,
332,
5411,
12492,
6921,
834,
4309,
61,
21680,
20592,
663,
6157,
332,
536,
3,
15355,
3162,
8121,
6157,
332,
357,
9191,
332,
5411,
25252,
5451,
834,
4309,
3274,
332,
4416,
... |
What is the highest round of the player with a pick number lower than 34? | CREATE TABLE table_name_83 (
round INTEGER,
pick__number INTEGER
) | SELECT MAX(round) FROM table_name_83 WHERE pick__number > 34 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
1751,
3,
21342,
17966,
6,
1432,
834,
834,
5525,
1152,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
1751,
13,
8,
1959,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
7775,
61,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
1432,
834,
834,
5525,
1152,
2490,
6154,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what's the total passengers 2008 with change 2008/09 being 6.5% | CREATE TABLE table_19017 (
"Rank" real,
"Airport" text,
"Total Passengers 2008" real,
"Total Passengers 2009" real,
"Change 2008/09" text,
"Aircraft movements 2009" real
) | SELECT "Total Passengers 2008" FROM table_19017 WHERE "Change 2008/09" = '6.5%' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
11776,
2517,
41,
96,
22557,
121,
490,
6,
96,
20162,
1493,
121,
1499,
6,
96,
3696,
1947,
3424,
4606,
277,
2628,
121,
490,
6,
96,
3696,
1947,
3424,
4606,
277,
2464,
121,
490,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
3696,
1947,
3424,
4606,
277,
2628,
121,
21680,
953,
834,
11776,
2517,
549,
17444,
427,
96,
3541,
3280,
2628,
87,
4198,
121,
3274,
3,
31,
17255,
1454,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many tries against were there with 17 losses? | CREATE TABLE table_name_2 (tries_against VARCHAR, lost VARCHAR) | SELECT tries_against FROM table_name_2 WHERE lost = "17" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
9000,
834,
9,
16720,
7,
17,
584,
4280,
28027,
6,
1513,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
3,
9000,
581,
130,
132,
28,
1003,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9000,
834,
9,
16720,
7,
17,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
1513,
3274,
96,
2517,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Name the least flaps | CREATE TABLE table_16908657_1 (flaps INTEGER) | SELECT MIN(flaps) FROM table_16908657_1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2938,
2394,
3840,
3436,
834,
536,
41,
89,
8478,
7,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
709,
23050,
7,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
89,
8478,
7,
61,
21680,
953,
834,
2938,
2394,
3840,
3436,
834,
536,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What round was adelaide united the opposition with an attendance of 18,345? | CREATE TABLE table_name_32 (round VARCHAR, opposition VARCHAR, attendance VARCHAR) | SELECT round FROM table_name_32 WHERE opposition = "adelaide united" AND attendance = "18,345" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2668,
41,
7775,
584,
4280,
28027,
6,
8263,
584,
4280,
28027,
6,
11364,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1751,
47,
3,
15311,
5385,
18279,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1751,
21680,
953,
834,
4350,
834,
2668,
549,
17444,
427,
8263,
3274,
96,
15311,
5385,
18279,
121,
3430,
11364,
3274,
96,
2606,
6,
3710,
17395,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
On average, when were vineyard schools founded? | CREATE TABLE table_61767 (
"School" text,
"Suburb/Town" text,
"Years" text,
"Founded" real,
"Website" text
) | SELECT AVG("Founded") FROM table_61767 WHERE "Suburb/Town" = 'vineyard' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
948,
2517,
3708,
41,
96,
29364,
121,
1499,
6,
96,
25252,
450,
115,
87,
382,
9197,
121,
1499,
6,
96,
476,
2741,
7,
121,
1499,
6,
96,
20100,
121,
490,
6,
96,
15805,
3585,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
71,
17217,
599,
121,
20100,
8512,
21680,
953,
834,
948,
2517,
3708,
549,
17444,
427,
96,
25252,
450,
115,
87,
382,
9197,
121,
3274,
3,
31,
8402,
6636,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the highest wins that has 350cc as the class, yamaha for the team, with points less than 37, and a year after 1979? | CREATE TABLE table_34823 (
"Year" real,
"Class" text,
"Team" text,
"Points" real,
"Wins" real
) | SELECT MAX("Wins") FROM table_34823 WHERE "Class" = '350cc' AND "Team" = 'yamaha' AND "Points" < '37' AND "Year" > '1979' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
3707,
2773,
41,
96,
476,
2741,
121,
490,
6,
96,
21486,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
22512,
7,
121,
490,
6,
96,
18455,
7,
121,
490,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
18455,
7,
8512,
21680,
953,
834,
519,
3707,
2773,
549,
17444,
427,
96,
21486,
121,
3274,
3,
31,
16975,
75,
75,
31,
3430,
96,
18699,
121,
3274,
3,
31,
22990,
1024,
31,
3430,
96,
22512,
7,
121,
... |
How many players had the most assists against New Jersey? | CREATE TABLE table_15873014_3 (
high_assists VARCHAR,
team VARCHAR
) | SELECT COUNT(high_assists) FROM table_15873014_3 WHERE team = "New Jersey" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
4225,
1458,
2534,
834,
519,
41,
306,
834,
6500,
7,
17,
7,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
1508,
141,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
6739,
834,
6500,
7,
17,
7,
61,
21680,
953,
834,
1808,
4225,
1458,
2534,
834,
519,
549,
17444,
427,
372,
3274,
96,
6861,
5092,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
I want the outgoing manager for 19 february | CREATE TABLE table_10576 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Replaced by" text,
"Date of appointment" text
) | SELECT "Outgoing manager" FROM table_10576 WHERE "Date of appointment" = '19 february' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
12869,
3959,
41,
96,
18699,
121,
1499,
6,
96,
15767,
9545,
2743,
121,
1499,
6,
96,
7296,
687,
13,
12028,
121,
1499,
6,
96,
1649,
4687,
26,
57,
121,
1499,
6,
96,
308,
342,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15767,
9545,
2743,
121,
21680,
953,
834,
12869,
3959,
549,
17444,
427,
96,
308,
342,
13,
4141,
121,
3274,
3,
31,
2294,
29976,
76,
1208,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the Position of moose goheen? | CREATE TABLE table_7409 (
"Position" text,
"Name" text,
"Birthdate" text,
"Birthplace" text,
"Team" text
) | SELECT "Position" FROM table_7409 WHERE "Name" = 'moose goheen' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4581,
4198,
41,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
279,
23,
52,
189,
5522,
121,
1499,
6,
96,
279,
23,
52,
189,
4687,
121,
1499,
6,
96,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
345,
32,
7,
4749,
121,
21680,
953,
834,
4581,
4198,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
31062,
15,
281,
88,
35,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is Country, when Score is 70-73=143? | CREATE TABLE table_name_50 (
country VARCHAR,
score VARCHAR
) | SELECT country FROM table_name_50 WHERE score = 70 - 73 = 143 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
684,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
6993,
6,
116,
17763,
19,
2861,
18,
4552,
2423,
25133,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
684,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
2604,
3274,
2861,
3,
18,
3,
4552,
3274,
3,
25133,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was Rosie's winning score on Apr 29, 2001? | CREATE TABLE table_name_39 (
winning_score VARCHAR,
date VARCHAR
) | SELECT winning_score FROM table_name_39 WHERE date = "apr 29, 2001" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
3447,
834,
7,
9022,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
2158,
2452,
31,
7,
3447,
2604,
30,
10299... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3447,
834,
7,
9022,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
833,
3274,
96,
9,
102,
52,
14405,
4402,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Tell me the result for 2008-12-23 | CREATE TABLE table_name_61 (
result VARCHAR,
date VARCHAR
) | SELECT result FROM table_name_61 WHERE date = "2008-12-23" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
741,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
741,
21,
2628,
5947,
18,
2773,
1,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
741,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
833,
3274,
96,
16128,
5947,
18,
2773,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the table for the team Blackburn Rovers? | CREATE TABLE table_73618 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Table" text,
"Incoming manager" text,
"Date of appointment" text
) | SELECT "Table" FROM table_73618 WHERE "Team" = 'Blackburn Rovers' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
3420,
2606,
41,
96,
18699,
121,
1499,
6,
96,
15767,
9545,
2743,
121,
1499,
6,
96,
7296,
687,
13,
12028,
121,
1499,
6,
96,
308,
342,
13,
3,
29685,
121,
1499,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
20354,
121,
21680,
953,
834,
940,
3420,
2606,
549,
17444,
427,
96,
18699,
121,
3274,
3,
31,
20096,
7223,
21608,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
platelet count < 100 | CREATE TABLE table_train_160 (
"id" int,
"alt" float,
"systolic_blood_pressure_sbp" int,
"ast" float,
"platelet_count" float,
"diastolic_blood_pressure_dbp" int,
"serum_creatinine" float,
"triglyceride_tg" float,
"hypertension" bool,
"NOUSE" float
) | SELECT * FROM table_train_160 WHERE platelet_count < 100 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9719,
834,
19129,
41,
96,
23,
26,
121,
16,
17,
6,
96,
2920,
121,
3,
12660,
6,
96,
7,
63,
7,
235,
2176,
834,
27798,
834,
26866,
834,
7,
115,
102,
121,
16,
17,
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,
1429,
21680,
953,
834,
9719,
834,
19129,
549,
17444,
427,
3829,
1655,
834,
13362,
3,
2,
910,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the maximum total in which the average is 28.5? | CREATE TABLE table_20464 (
"Rank by average" real,
"Place" text,
"Couple" text,
"Perfect 40s" real,
"Total" real,
"Number of dances" real,
"Season" real,
"Average" text
) | SELECT MAX("Total") FROM table_20464 WHERE "Average" = '28.5' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
4389,
41,
96,
22557,
57,
1348,
121,
490,
6,
96,
345,
11706,
121,
1499,
6,
96,
3881,
413,
109,
121,
1499,
6,
96,
12988,
4075,
1283,
7,
121,
490,
6,
96,
3696,
1947,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
3696,
1947,
8512,
21680,
953,
834,
26363,
4389,
549,
17444,
427,
96,
188,
624,
545,
121,
3274,
3,
31,
357,
19253,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many production codes have an original airdate of November 16, 1990? | CREATE TABLE table_2409041_3 (production_code VARCHAR, original_air_date VARCHAR) | SELECT COUNT(production_code) FROM table_2409041_3 WHERE original_air_date = "November 16, 1990" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
11944,
2394,
4853,
834,
519,
41,
20762,
834,
4978,
584,
4280,
28027,
6,
926,
834,
2256,
834,
5522,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
999,
5633,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
20762,
834,
4978,
61,
21680,
953,
834,
11944,
2394,
4853,
834,
519,
549,
17444,
427,
926,
834,
2256,
834,
5522,
3274,
96,
28635,
11940,
5541,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was the position for 2008, where 2012 was q1, and 2010 was 1r? | CREATE TABLE table_name_12 (
Id VARCHAR
) | SELECT 2008 FROM table_name_12 WHERE 2012 = "q1" AND 2010 = "1r" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
27,
26,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
1102,
21,
2628,
6,
213,
1673,
47,
3,
1824,
4347,
11,
2735,
47,
209,
52,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2628,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
1673,
3274,
96,
1824,
536,
121,
3430,
2735,
3274,
96,
536,
52,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the implementation when the netflow version is v5, v8, v9, ipfix? | CREATE TABLE table_1206114_2 (implementation VARCHAR, netflow_version VARCHAR) | SELECT implementation FROM table_1206114_2 WHERE netflow_version = "v5, v8, v9, IPFIX" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
15518,
4241,
2534,
834,
357,
41,
10296,
1194,
257,
584,
4280,
28027,
6,
3134,
7631,
834,
8674,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
4432,
116,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
4432,
21680,
953,
834,
15518,
4241,
2534,
834,
357,
549,
17444,
427,
3134,
7631,
834,
8674,
3274,
96,
208,
11116,
3,
208,
11864,
3,
208,
1298,
6,
3857,
4936,
4,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
When completing 182 laps, what was the qual.? | CREATE TABLE table_14658 (
"Year" text,
"Start" text,
"Qual" text,
"Rank" text,
"Finish" text,
"Laps" real
) | SELECT "Qual" FROM table_14658 WHERE "Laps" = '182' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24300,
3449,
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,
96,
5991,
138,
121,
21680,
953,
834,
24300,
3449,
549,
17444,
427,
96,
3612,
102,
7,
121,
3274,
3,
31,
2606,
357,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the total longitude of Nogosek and a GEO ID larger than 3809357060? | CREATE TABLE table_64770 (
"Township" text,
"County" text,
"Pop. (2010)" real,
"Land ( sqmi )" real,
"Water (sqmi)" real,
"Latitude" real,
"Longitude" real,
"GEO ID" real,
"ANSI code" real
) | SELECT COUNT("Longitude") FROM table_64770 WHERE "Township" = 'nogosek' AND "GEO ID" > '3809357060' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4389,
26920,
41,
96,
382,
9197,
2009,
121,
1499,
6,
96,
10628,
63,
121,
1499,
6,
96,
27773,
5,
26118,
121,
490,
6,
96,
434,
232,
41,
11820,
51,
23,
3,
61,
121,
490,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
434,
2444,
20341,
8512,
21680,
953,
834,
4389,
26920,
549,
17444,
427,
96,
382,
9197,
2009,
121,
3274,
3,
31,
29,
32,
839,
7,
15,
157,
31,
3430,
96,
5042,
667,
4699,
121,
2490,
3,
31,
22671,... |
What is the latitude of vaidilute rupes? | CREATE TABLE table_72808 (
"Name" text,
"Latitude" text,
"Longitude" text,
"Diameter (km)" text,
"Year named" real,
"Name origin" text
) | SELECT "Latitude" FROM table_72808 WHERE "Name" = 'Vaidilute Rupes' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
2577,
4018,
41,
96,
23954,
121,
1499,
6,
96,
3612,
6592,
121,
1499,
6,
96,
434,
2444,
20341,
121,
1499,
6,
96,
23770,
4401,
41,
5848,
61,
121,
1499,
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,
3612,
6592,
121,
21680,
953,
834,
940,
2577,
4018,
549,
17444,
427,
96,
23954,
121,
3274,
3,
31,
553,
6146,
23,
18453,
2770,
855,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
From what Country is Gary Evans? | CREATE TABLE table_12499 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
) | SELECT "Country" FROM table_12499 WHERE "Player" = 'gary evans' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22504,
3264,
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,
10628,
651,
121,
21680,
953,
834,
22504,
3264,
549,
17444,
427,
96,
15800,
49,
121,
3274,
3,
31,
1478,
63,
3,
15,
2132,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is top speed of a petrol engine at ps (kw; bhp)@5250-6250? | CREATE TABLE table_21154679_1 (top_speed VARCHAR, max_power VARCHAR) | SELECT top_speed FROM table_21154679_1 WHERE max_power = "PS (kW; bhp)@5250-6250" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2658,
1808,
4448,
4440,
834,
536,
41,
2916,
834,
9993,
584,
4280,
28027,
6,
9858,
834,
6740,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
420,
1634,
13,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
420,
834,
9993,
21680,
953,
834,
2658,
1808,
4448,
4440,
834,
536,
549,
17444,
427,
9858,
834,
6740,
3274,
96,
4176,
41,
21729,
117,
3,
115,
107,
102,
61,
1741,
5373,
1752,
5783,
11434,
121,
1,
-100,
-100,
-100,
-10... |
What is the total when the score for set 1 is 14–25? | CREATE TABLE table_name_75 (total VARCHAR, set_1 VARCHAR) | SELECT total FROM table_name_75 WHERE set_1 = "14–25" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
235,
1947,
584,
4280,
28027,
6,
356,
834,
536,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
116,
8,
2604,
21,
356,
209,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
792,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
356,
834,
536,
3274,
96,
2534,
104,
1828,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
On which date did the shock at latitude 08.909 s occur? | CREATE TABLE table_25675509_1 (
date__yyyy_mm_dd_ VARCHAR,
latitude VARCHAR
) | SELECT date__yyyy_mm_dd_ FROM table_25675509_1 WHERE latitude = "08.909° S" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1828,
3708,
3769,
4198,
834,
536,
41,
833,
834,
834,
63,
63,
63,
63,
834,
635,
834,
26,
26,
834,
584,
4280,
28027,
6,
50,
6592,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
833,
834,
834,
63,
63,
63,
63,
834,
635,
834,
26,
26,
834,
21680,
953,
834,
1828,
3708,
3769,
4198,
834,
536,
549,
17444,
427,
50,
6592,
3274,
96,
15000,
2394,
1298,
1956,
180,
121,
1,
-100,
-100,
-100,
-100,
-100... |
What was the maximum speed of the car with 1.556 cc capacity? | CREATE TABLE table_name_45 (
vmax VARCHAR,
capacity VARCHAR
) | SELECT vmax FROM table_name_45 WHERE capacity = "1.556 cc" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
3,
208,
9128,
584,
4280,
28027,
6,
2614,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
2411,
1634,
13,
8,
443,
28,
8613,
4834,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
208,
9128,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
2614,
3274,
96,
16593,
4834,
3,
75,
75,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What are the serial numbers for the locomotives of Class 4-8-4 oooooooo northern? | CREATE TABLE table_63991 (
"Class" text,
"Wheel arrangement" text,
"Fleet number(s)" text,
"Manufacturer" text,
"Serial numbers" text,
"Year made" text,
"Quantity made" text,
"Quantity preserved" text,
"Year(s) retired" text
) | SELECT "Serial numbers" FROM table_63991 WHERE "Class" = '4-8-4 — oooooooo — northern' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3891,
3264,
536,
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,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
15,
12042,
2302,
121,
21680,
953,
834,
3891,
3264,
536,
549,
17444,
427,
96,
21486,
121,
3274,
3,
31,
591,
6039,
4278,
3,
318,
3,
16780,
16780,
3,
318,
8390,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
When was the kickoff time of the SB XXXVI? | CREATE TABLE table_32534 (
"Week" text,
"Kickoff" text,
"Date" text,
"Opponent" text,
"Result" text,
"Record" text,
"Game site" text,
"Attendance" text
) | SELECT "Kickoff" FROM table_32534 WHERE "Week" = 'sb xxxvi' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
1828,
3710,
41,
96,
518,
10266,
121,
1499,
6,
96,
439,
3142,
1647,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
667,
102,
9977,
121,
1499,
6,
96,
20119,
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,
439,
3142,
1647,
121,
21680,
953,
834,
519,
1828,
3710,
549,
17444,
427,
96,
518,
10266,
121,
3274,
3,
31,
7,
115,
3,
226,
19230,
2099,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Plot total number of salary by grouped by hire date as a bar graph | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY... | SELECT HIRE_DATE, SUM(SALARY) FROM employees | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
10521,
41,
3396,
19846,
11810,
834,
4309,
7908,
1982,
599,
8525,
632,
201,
3396,
19846,
11810,
834,
567,
17683,
3,
4331,
4059,
599,
1458,
201,
283,
15610,
17966,
834,
4309,
7908,
1982,
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,
454,
14132,
834,
308,
6048,
6,
180,
6122,
599,
134,
4090,
24721,
61,
21680,
1652,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Find the number of courses that have more than one prerequisites for each title with a bar chart, and list by the Y-axis in ascending please. | CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
... | SELECT title, COUNT(title) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY title ORDER BY COUNT(title) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1236,
41,
4699,
3,
4331,
4059,
15757,
6,
564,
3,
4331,
4059,
599,
1755,
201,
20,
102,
17,
834,
4350,
3,
4331,
4059,
599,
1755,
201,
12,
17,
834,
17216,
206,
17552,
599,
6355,
632,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2233,
6,
2847,
17161,
599,
21869,
61,
21680,
503,
6157,
332,
536,
3,
15355,
3162,
554,
60,
1824,
6157,
332,
357,
9191,
332,
5411,
19221,
834,
23,
26,
3274,
332,
4416,
19221,
834,
23,
26,
350,
4630,
6880,
272,
476,
... |
What is Score Points, when Shooter is 'Sandra Kolly ( SUI )'? | CREATE TABLE table_name_81 (
score_points VARCHAR,
shooter VARCHAR
) | SELECT score_points FROM table_name_81 WHERE shooter = "sandra kolly ( sui )" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
2604,
834,
2700,
7,
584,
4280,
28027,
6,
4279,
49,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
17763,
4564,
7,
6,
116,
20450,
49,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
834,
2700,
7,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
4279,
49,
3274,
96,
7,
152,
3515,
3,
11292,
120,
41,
2629,
23,
3,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Sport of gaelic football and hurling is what league? | CREATE TABLE table_name_8 (
league VARCHAR,
sport VARCHAR
) | SELECT league FROM table_name_8 WHERE sport = "gaelic football and hurling" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
5533,
584,
4280,
28027,
6,
2600,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
3349,
13,
7922,
15,
2176,
3370,
11,
3,
10666,
697,
19,
125,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5533,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
2600,
3274,
96,
122,
9,
15,
2176,
3370,
11,
3,
10666,
697,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the lowest rank when the constituency is edinburgh northern and leith and the swing to gain is less than 4.16? | CREATE TABLE table_77809 (
"Rank" real,
"Constituency" text,
"Winning party 2007" text,
"Swing to gain" real,
"LD's place 2007" text,
"Result" text
) | SELECT MIN("Rank") FROM table_77809 WHERE "Constituency" = 'edinburgh northern and leith' AND "Swing to gain" < '4.16' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4013,
2079,
1298,
41,
96,
22557,
121,
490,
6,
96,
4302,
2248,
17,
76,
4392,
121,
1499,
6,
96,
518,
10503,
1088,
4101,
121,
1499,
6,
96,
134,
3108,
12,
2485,
121,
490,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
121,
22557,
8512,
21680,
953,
834,
4013,
2079,
1298,
549,
17444,
427,
96,
4302,
2248,
17,
76,
4392,
121,
3274,
3,
31,
15,
2644,
4824,
107,
8390,
11,
4628,
189,
31,
3430,
96,
134,
3108,
12,
2485,
121... |
What is the number of points for the Entrant of wolfgang seidel and a Cooper t45 chassis later than 1960? | CREATE TABLE table_name_74 (points VARCHAR, year VARCHAR, entrant VARCHAR, chassis VARCHAR) | SELECT COUNT(points) FROM table_name_74 WHERE entrant = "wolfgang seidel" AND chassis = "cooper t45" AND year > 1960 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4581,
41,
2700,
7,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
3,
295,
3569,
584,
4280,
28027,
6,
22836,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
4581,
549,
17444,
427,
3,
295,
3569,
3274,
96,
19747,
3810,
142,
1599,
40,
121,
3430,
22836,
3274,
96,
25911,
49,
3,
17,
2128,
121,
3430,
215,
2490,
8754,
... |
Who was the first couple in the episode having a fourth couple of Sammy and Nat? | CREATE TABLE table_27976 (
"#" real,
"Airdate" text,
"No. of couples" real,
"First couple" text,
"Second couple" text,
"Third couple" text,
"Fourth couple" text,
"Viewers (millions)" text,
"ITV1 weekly ranking" real
) | SELECT "First couple" FROM table_27976 WHERE "Fourth couple" = 'Sammy and Nat' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
4440,
3959,
41,
96,
4663,
121,
490,
6,
96,
20162,
5522,
121,
1499,
6,
96,
4168,
5,
13,
11992,
121,
490,
6,
96,
25171,
1158,
121,
1499,
6,
96,
134,
15,
1018,
26,
11... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
25171,
1158,
121,
21680,
953,
834,
357,
4440,
3959,
549,
17444,
427,
96,
371,
1211,
189,
1158,
121,
3274,
3,
31,
134,
265,
2258,
11,
9267,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the nationality of the player from the Detroit Red Wings? | CREATE TABLE table_1213511_6 (
nationality VARCHAR,
nhl_team VARCHAR
) | SELECT nationality FROM table_1213511_6 WHERE nhl_team = "Detroit Red Wings" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22011,
2469,
2596,
834,
948,
41,
1157,
485,
584,
4280,
28027,
6,
3,
29,
107,
40,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1157,
485,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1157,
485,
21680,
953,
834,
22011,
2469,
2596,
834,
948,
549,
17444,
427,
3,
29,
107,
40,
834,
11650,
3274,
96,
308,
15252,
155,
1624,
15753,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
which player scored the largest number of points in one game in april ? | CREATE TABLE table_204_833 (
id number,
"game" number,
"date" text,
"team" text,
"score" text,
"high points" text,
"high rebounds" text,
"high assists" text,
"location\nattendance" text,
"record" text
) | SELECT "high points" FROM table_204_833 ORDER BY "high points" DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
4591,
519,
41,
3,
23,
26,
381,
6,
96,
7261,
121,
381,
6,
96,
5522,
121,
1499,
6,
96,
11650,
121,
1499,
6,
96,
7,
9022,
121,
1499,
6,
96,
6739,
979,
121,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
6739,
979,
121,
21680,
953,
834,
26363,
834,
4591,
519,
4674,
11300,
272,
476,
96,
6739,
979,
121,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What town holds Stadion Zlatica? | CREATE TABLE table_28668784_1 (city___town VARCHAR, stadium VARCHAR) | SELECT city___town FROM table_28668784_1 WHERE stadium = "Stadion Zlatica" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
3539,
4225,
4608,
834,
536,
41,
6726,
834,
834,
834,
3540,
584,
4280,
28027,
6,
14939,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1511,
4532,
30408,
106,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
690,
834,
834,
834,
3540,
21680,
953,
834,
2577,
3539,
4225,
4608,
834,
536,
549,
17444,
427,
14939,
3274,
96,
134,
17,
9,
26,
23,
106,
1027,
521,
7439,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the date of appointment for sacked and 14th position replaced by marco kostmann | CREATE TABLE table_17327264_3 (date_of_appointment VARCHAR, replaced_by VARCHAR, manner_of_departure VARCHAR, position_in_table VARCHAR) | SELECT date_of_appointment FROM table_17327264_3 WHERE manner_of_departure = "Sacked" AND position_in_table = "14th" AND replaced_by = "Marco Kostmann" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
519,
2555,
26755,
834,
519,
41,
5522,
834,
858,
834,
9,
102,
2700,
297,
584,
4280,
28027,
6,
5821,
834,
969,
584,
4280,
28027,
6,
3107,
834,
858,
834,
221,
2274,
1462... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
833,
834,
858,
834,
9,
102,
2700,
297,
21680,
953,
834,
2517,
519,
2555,
26755,
834,
519,
549,
17444,
427,
3107,
834,
858,
834,
221,
2274,
1462,
3274,
96,
134,
13365,
121,
3430,
1102,
834,
77,
834,
3869,
3274,
96,
... |
how many unmarried patients have diagnoses icd9 code 70724? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "SINGLE" AND diagnoses.icd9_code = "70724" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
how many times total did they finish first | CREATE TABLE table_203_231 (
id number,
"season" text,
"tier" number,
"division" text,
"place" text
) | SELECT COUNT(*) FROM table_203_231 WHERE "place" = 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
357,
3341,
41,
3,
23,
26,
381,
6,
96,
9476,
121,
1499,
6,
96,
3276,
121,
381,
6,
96,
26,
23,
6610,
121,
1499,
6,
96,
4687,
121,
1499,
3,
61,
3,
32102,
321... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
953,
834,
23330,
834,
357,
3341,
549,
17444,
427,
96,
4687,
121,
3274,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the 2008 rank of Djibouti? | CREATE TABLE table_23050383_1 (country VARCHAR) | SELECT 2008 AS _rank FROM table_23050383_1 WHERE country = "Djibouti" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
13427,
1752,
3747,
519,
834,
536,
41,
17529,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2628,
11003,
13,
309,
354,
23,
4076,
17,
23,
58,
3,
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,
2628,
6157,
3,
834,
6254,
21680,
953,
834,
13427,
1752,
3747,
519,
834,
536,
549,
17444,
427,
684,
3274,
96,
308,
354,
23,
4076,
17,
23,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the minimum number of opponents? | CREATE TABLE table_18847692_2 (
opponents INTEGER
) | SELECT MIN(opponents) FROM table_18847692_2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2606,
4608,
3959,
4508,
834,
357,
41,
16383,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2559,
381,
13,
16383,
58,
1,
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,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
32,
102,
9977,
7,
61,
21680,
953,
834,
2606,
4608,
3959,
4508,
834,
357,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.