NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Who won soccer when madison won volleyball, lexington won cross country and orrville won softball | CREATE TABLE table_16423070_4 (
soccer VARCHAR,
softball VARCHAR,
volleyball VARCHAR,
cross_country VARCHAR
) | SELECT soccer FROM table_16423070_4 WHERE volleyball = "Madison" AND cross_country = "Lexington" AND softball = "Orrville" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26987,
13427,
2518,
834,
591,
41,
10749,
584,
4280,
28027,
6,
1835,
3184,
584,
4280,
28027,
6,
26081,
584,
4280,
28027,
6,
2269,
834,
17529,
584,
4280,
28027,
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,
10749,
21680,
953,
834,
26987,
13427,
2518,
834,
591,
549,
17444,
427,
26081,
3274,
96,
329,
9,
26,
23,
739,
121,
3430,
2269,
834,
17529,
3274,
96,
434,
994,
6029,
121,
3430,
1835,
3184,
3274,
96,
7395,
52,
1420,
12... |
calculate the number of patients tested for clinical chemistry who had infection with microorganisms resistant to penicillins | 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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Infection with microorganisms resistant to penicillins" AND lab."CATEGORY" = "Chemistry" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14798,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
564,
1499,
6,
2774,
1947,
834,
8547,
302,
1499,
6,
1246,
1499,
6,
103,
115,
1499,
6,
7285,
1499,
6,
1612,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
3... |
In what rounds did Luigi Fagioli drive for Alfa Romeo SPA? | CREATE TABLE table_10617 (
"Entrant" text,
"Constructor" text,
"Chassis" text,
"Engine" text,
"Tyre" text,
"Driver" text,
"Rounds" text
) | SELECT "Rounds" FROM table_10617 WHERE "Entrant" = 'alfa romeo spa' AND "Driver" = 'luigi fagioli' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
16431,
2517,
41,
96,
16924,
3569,
121,
1499,
6,
96,
4302,
7593,
127,
121,
1499,
6,
96,
3541,
6500,
7,
121,
1499,
6,
96,
31477,
121,
1499,
6,
96,
382,
63,
60,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
448,
32,
1106,
7,
121,
21680,
953,
834,
16431,
2517,
549,
17444,
427,
96,
16924,
3569,
121,
3274,
3,
31,
138,
89,
9,
3,
11956,
32,
4174,
31,
3430,
96,
20982,
52,
121,
3274,
3,
31,
2878,
122,
23,
3,
89,
662... |
how many patients are admitted under elective type and diagnosed with icd9 code 42833? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id 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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND diagnoses.icd9_code = "42833" | [
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,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
Which college does the player John Theus associate with? | CREATE TABLE table_11677691_5 (college VARCHAR, player VARCHAR) | SELECT college FROM table_11677691_5 WHERE player = "John Theus" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2596,
3708,
3959,
4729,
834,
755,
41,
3297,
7883,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
1900,
405,
8,
1959,
1079,
37,
302,
757... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1900,
21680,
953,
834,
2596,
3708,
3959,
4729,
834,
755,
549,
17444,
427,
1959,
3274,
96,
18300,
37,
302,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Who was the turbine manufacturer of the wind farm that started service on 2005? | CREATE TABLE table_24837750_1 (
turbine_manufacturer VARCHAR,
date_in_service VARCHAR
) | SELECT turbine_manufacturer FROM table_24837750_1 WHERE date_in_service = "2005" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3707,
4118,
9979,
834,
536,
41,
20784,
834,
348,
76,
8717,
450,
49,
584,
4280,
28027,
6,
833,
834,
77,
834,
5114,
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,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
20784,
834,
348,
76,
8717,
450,
49,
21680,
953,
834,
357,
3707,
4118,
9979,
834,
536,
549,
17444,
427,
833,
834,
77,
834,
5114,
3274,
96,
22594,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Tell me the part 1 of grid of 1 | CREATE TABLE table_name_60 (
part_1 VARCHAR,
grid VARCHAR
) | SELECT part_1 FROM table_name_60 WHERE grid = "1" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3328,
41,
294,
834,
536,
584,
4280,
28027,
6,
8634,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
294,
209,
13,
8634,
13,
209,
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,
294,
834,
536,
21680,
953,
834,
4350,
834,
3328,
549,
17444,
427,
8634,
3274,
96,
536,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What position does the player from arkansas play? | CREATE TABLE table_name_54 (position VARCHAR, school_country VARCHAR) | SELECT position FROM table_name_54 WHERE school_country = "arkansas" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5062,
41,
4718,
584,
4280,
28027,
6,
496,
834,
17529,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1102,
405,
8,
1959,
45,
3,
6604,
3247,
9,
7,
577,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1102,
21680,
953,
834,
4350,
834,
5062,
549,
17444,
427,
496,
834,
17529,
3274,
96,
6604,
3247,
9,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the ICAO of Lohausen airport? | CREATE TABLE table_name_2 (
icao VARCHAR,
airport VARCHAR
) | SELECT icao FROM table_name_2 WHERE airport = "lohausen airport" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
3,
2617,
32,
584,
4280,
28027,
6,
3761,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3,
15038,
667,
13,
1815,
18535,
3761,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
2617,
32,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
3761,
3274,
96,
40,
32,
18535,
3761,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What country has a score of 74-70=144 | CREATE TABLE table_name_2 (
country VARCHAR,
score VARCHAR
) | SELECT country FROM table_name_2 WHERE score = 74 - 70 = 144 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
684,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
684,
65,
3,
9,
2604,
13,
3,
4581,
18,
2518,
2423,
20885,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
357,
549,
17444,
427,
2604,
3274,
3,
4581,
3,
18,
2861,
3274,
3,
20885,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the number of AIDS Orphans as % of Orphans when the Double (AIDS Related) number is 41,000, and the Paternal (Total) is larger than 442,000? | CREATE TABLE table_name_41 (aids_orphans_as__percentage_of_orphans INTEGER, double__aids_related_ VARCHAR, paternal__total_ VARCHAR) | SELECT SUM(aids_orphans_as__percentage_of_orphans) FROM table_name_41 WHERE double__aids_related_ = "41,000" AND paternal__total_ > 442 OFFSET 000 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4853,
41,
6146,
7,
834,
127,
8237,
7,
834,
9,
7,
834,
834,
883,
3728,
545,
834,
858,
834,
127,
8237,
7,
3,
21342,
17966,
6,
1486,
834,
834,
6146,
7,
834,
389... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6146,
7,
834,
127,
8237,
7,
834,
9,
7,
834,
834,
883,
3728,
545,
834,
858,
834,
127,
8237,
7,
61,
21680,
953,
834,
4350,
834,
4853,
549,
17444,
427,
1486,
834,
834,
6146,
7,
834,
3897,
834,
3274,... |
How many wins are there for the Races of 12/12? | CREATE TABLE table_33643 (
"Season" real,
"Series Name" text,
"Champion" text,
"Races \u2020" text,
"Pole Positions" text,
"Wins" text,
"Podiums" text,
"Fastest Laps" text,
"Points" text,
"Margin (pts)" text
) | SELECT "Wins" FROM table_33643 WHERE "Races \u2020" = '12/12' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
519,
3420,
4906,
41,
96,
134,
15,
9,
739,
121,
490,
6,
96,
12106,
7,
5570,
121,
1499,
6,
96,
254,
1483,
12364,
121,
1499,
6,
96,
448,
9,
2319,
3,
2,
76,
22224,
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,
18455,
7,
121,
21680,
953,
834,
519,
3420,
4906,
549,
17444,
427,
96,
448,
9,
2319,
3,
2,
76,
22224,
121,
3274,
3,
31,
2122,
18009,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What teams have 1/2/2011 as the streak end? | CREATE TABLE table_5878 (
"Rank" text,
"Quarterback" text,
"Streak start" text,
"Streak end" text,
"Teams" text,
"Regular season" real,
"Playoffs" real,
"Total" real
) | SELECT "Teams" FROM table_5878 WHERE "Streak end" = '1/2/2011' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3449,
3940,
41,
96,
22557,
121,
1499,
6,
96,
5991,
1408,
49,
1549,
121,
1499,
6,
96,
11500,
15,
1639,
456,
121,
1499,
6,
96,
11500,
15,
1639,
414,
121,
1499,
6,
96,
18699... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
18699,
7,
121,
21680,
953,
834,
3449,
3940,
549,
17444,
427,
96,
11500,
15,
1639,
414,
121,
3274,
3,
31,
17637,
87,
13907,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
On what date was Richmond hosted as the away team? | CREATE TABLE table_name_50 (
date VARCHAR,
away_team VARCHAR
) | SELECT date FROM table_name_50 WHERE away_team = "richmond" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
833,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
461,
125,
833,
47,
17247,
6523,
38,
8,
550,
372,
58,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
550,
834,
11650,
3274,
96,
3723,
6764,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
The club that had 546 points against, what was the losing bonus? | CREATE TABLE table_68688 (
"Club" text,
"Played" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text,
"Losing bonus" text,
"Points" text
) | SELECT "Losing bonus" FROM table_68688 WHERE "Points against" = '546' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3651,
3651,
927,
41,
96,
254,
11158,
121,
1499,
6,
96,
15800,
15,
26,
121,
1499,
6,
96,
308,
10936,
29,
121,
1499,
6,
96,
434,
3481,
121,
1499,
6,
96,
22512,
7,
21,
121... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
32,
7,
53,
4023,
121,
21680,
953,
834,
3651,
3651,
927,
549,
17444,
427,
96,
22512,
7,
581,
121,
3274,
3,
31,
755,
4448,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
How many people attended the game with a final score of 75-90? | CREATE TABLE table_42811 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Leading scorer" text,
"Attendance" text,
"Record" text
) | SELECT "Attendance" FROM table_42811 WHERE "Score" = '75-90' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
2577,
2596,
41,
96,
308,
342,
121,
1499,
6,
96,
553,
159,
155,
127,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
19040,
121,
1499,
6,
96,
2796,
9,
26,
53,
2604,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
188,
17,
324,
26,
663,
121,
21680,
953,
834,
591,
2577,
2596,
549,
17444,
427,
96,
134,
9022,
121,
3274,
3,
31,
3072,
18,
2394,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the rank for the Mixed Team nation with a total of less than 13? | CREATE TABLE table_name_74 (
rank VARCHAR,
total VARCHAR,
nation VARCHAR
) | SELECT rank FROM table_name_74 WHERE total < 13 AND nation = "mixed team" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4581,
41,
11003,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
6,
2982,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
11003,
21,
8,
28024,
22... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
11003,
21680,
953,
834,
4350,
834,
4581,
549,
17444,
427,
792,
3,
2,
1179,
3430,
2982,
3274,
96,
13682,
15,
26,
372,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Player from Memphis? | CREATE TABLE table_name_70 (player VARCHAR, school_club_team VARCHAR) | SELECT player FROM table_name_70 WHERE school_club_team = "memphis" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
20846,
584,
4280,
28027,
6,
496,
834,
13442,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
12387,
45,
22715,
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,
1959,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
496,
834,
13442,
834,
11650,
3274,
96,
526,
7656,
159,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the highest rated West Lancashire with a Pendle greater than 1 and a Rossendale more than 2? | CREATE TABLE table_65031 (
"Party" text,
"Burnley" real,
"Chorley" real,
"Fylde" real,
"Hyndburn" real,
"Lancaster" real,
"Pendle" real,
"Preston" real,
"Ribble Valley" real,
"Rossendale" real,
"South Ribble" real,
"West Lancashire" real,
"Wyre" real,
"Total" real
) | SELECT MAX("West Lancashire") FROM table_65031 WHERE "Pendle" > '1' AND "Rossendale" > '2' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
15348,
3341,
41,
96,
13725,
63,
121,
1499,
6,
96,
279,
450,
29,
1306,
121,
490,
6,
96,
3541,
127,
1306,
121,
490,
6,
96,
371,
63,
40,
221,
121,
490,
6,
96,
566,
63,
7... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
19069,
9144,
658,
5718,
8512,
21680,
953,
834,
15348,
3341,
549,
17444,
427,
96,
345,
989,
109,
121,
2490,
3,
31,
536,
31,
3430,
96,
448,
32,
4932,
5437,
121,
2490,
3,
31,
357,
31,
1,
-100,
-1... |
WHAT IS THE PACKAGE VERSION FOR blackberry storm 9530, APPLICATION 5.0.0.419, AND MTS MOBILITY? | CREATE TABLE table_name_9 (package_version VARCHAR, carrier VARCHAR, device VARCHAR, applications VARCHAR) | SELECT package_version FROM table_name_9 WHERE device = "blackberry storm 9530" AND applications = "5.0.0.419" AND carrier = "mts mobility" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
5745,
545,
834,
8674,
584,
4280,
28027,
6,
9568,
584,
4280,
28027,
6,
1407,
584,
4280,
28027,
6,
1564,
584,
4280,
28027,
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,
2642,
834,
8674,
21680,
953,
834,
4350,
834,
1298,
549,
17444,
427,
1407,
3274,
96,
19699,
7418,
5536,
11923,
1458,
121,
3430,
1564,
3274,
96,
20734,
5,
22776,
2294,
121,
3430,
9568,
3274,
96,
51,
17,
7,
12337,
121,
... |
What is the average age of captains in different classes?, and order from low to high by the x-axis. | CREATE TABLE Ship (
Ship_ID int,
Name text,
Type text,
Built_Year real,
Class text,
Flag text
)
CREATE TABLE captain (
Captain_ID int,
Name text,
Ship_ID int,
age text,
Class text,
Rank text
) | SELECT Class, AVG(age) FROM captain GROUP BY Class ORDER BY Class | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
15508,
41,
15508,
834,
4309,
16,
17,
6,
5570,
1499,
6,
6632,
1499,
6,
14862,
834,
476,
2741,
490,
6,
4501,
1499,
6,
17016,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4501,
6,
71,
17217,
599,
545,
61,
21680,
14268,
350,
4630,
6880,
272,
476,
4501,
4674,
11300,
272,
476,
4501,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
how many had a total goals scored over 6 ? | CREATE TABLE table_204_770 (
id number,
"season" number,
"date" text,
"jia-a/csl winner" text,
"result" text,
"fa cup winner" text,
"scorers" text,
"stadium" text
) | SELECT COUNT(*) FROM table_204_770 WHERE "result" + "result" > 6 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
26920,
41,
3,
23,
26,
381,
6,
96,
9476,
121,
381,
6,
96,
5522,
121,
1499,
6,
96,
354,
23,
9,
18,
9,
87,
75,
7,
40,
4668,
121,
1499,
6,
96,
60,
7,
83,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
953,
834,
26363,
834,
26920,
549,
17444,
427,
96,
60,
7,
83,
17,
121,
1768,
96,
60,
7,
83,
17,
121,
2490,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What team did he compete for in the GP3 series? | CREATE TABLE table_20500097_1 (team VARCHAR, series VARCHAR) | SELECT team FROM table_20500097_1 WHERE series = "GP3 series" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1755,
12814,
4327,
834,
536,
41,
11650,
584,
4280,
28027,
6,
939,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
372,
410,
3,
88,
5978,
21,
16,
8,
3,
8049,
519,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
372,
21680,
953,
834,
1755,
12814,
4327,
834,
536,
549,
17444,
427,
939,
3274,
96,
8049,
519,
939,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
which contestants won no future titles ? | CREATE TABLE table_203_727 (
id number,
"year" number,
"miss northern ireland" text,
"hometown" text,
"placement at miss world" text,
"notes" text
) | SELECT "miss northern ireland" FROM table_203_727 WHERE "notes" IS NULL | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
940,
2555,
41,
3,
23,
26,
381,
6,
96,
1201,
121,
381,
6,
96,
11502,
8390,
3,
2060,
40,
232,
121,
1499,
6,
96,
5515,
3540,
121,
1499,
6,
96,
4687,
297,
44,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
11502,
8390,
3,
2060,
40,
232,
121,
21680,
953,
834,
23330,
834,
940,
2555,
549,
17444,
427,
96,
7977,
7,
121,
6827,
13046,
10376,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the lowest group number that has a Fraction less than 0.000748, a Half-Life of 55.72 and a Decay Constant larger than 0.012400000000000001? | CREATE TABLE table_name_99 (
group INTEGER,
decay_constant__s_−1__ VARCHAR,
fraction VARCHAR,
half_life__s_ VARCHAR
) | SELECT MIN(group) FROM table_name_99 WHERE fraction < 0.000748 AND half_life__s_ = 55.72 AND decay_constant__s_−1__ > 0.012400000000000001 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
563,
3,
21342,
17966,
6,
18907,
834,
8056,
3672,
834,
834,
7,
834,
2,
536,
834,
834,
584,
4280,
28027,
6,
12211,
584,
4280,
28027,
6,
985,
834,
4597,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
10739,
61,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
12211,
3,
2,
3,
5311,
940,
3707,
3430,
985,
834,
4597,
834,
834,
7,
834,
3274,
6897,
5,
5865,
3430,
18907,
834,
8056,
3672,
834,
834,
7,... |
What is the Film/Show, when the Year is 2010? | CREATE TABLE table_name_19 (
film_show VARCHAR,
year VARCHAR
) | SELECT film_show FROM table_name_19 WHERE year = 2010 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
814,
834,
10049,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3417,
87,
134,
4067,
6,
116,
8,
2929,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
814,
834,
10049,
21680,
953,
834,
4350,
834,
2294,
549,
17444,
427,
215,
3274,
2735,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
what's the party with incumbent being john sparkman | CREATE TABLE table_1342292_2 (party VARCHAR, incumbent VARCHAR) | SELECT party FROM table_1342292_2 WHERE incumbent = "John Sparkman" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
2884,
4508,
834,
357,
41,
8071,
584,
4280,
28027,
6,
28406,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
31,
7,
8,
1088,
28,
28406,
271,
3,
27341,
13233,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1088,
21680,
953,
834,
23747,
2884,
4508,
834,
357,
549,
17444,
427,
28406,
3274,
96,
18300,
15036,
348,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Find the address and staff number of the shops that do not have any happy hour Visualize by bar chart, list in asc by the X please. | CREATE TABLE member (
Member_ID int,
Name text,
Membership_card text,
Age int,
Time_of_purchase int,
Level_of_membership int,
Address text
)
CREATE TABLE shop (
Shop_ID int,
Address text,
Num_of_staff text,
Score real,
Open_Year text
)
CREATE TABLE happy_hour (
HH_ID int,
Shop_ID int,
Month text,
Num_of_shaff_in_charge int
)
CREATE TABLE happy_hour_member (
HH_ID int,
Member_ID int,
Total_amount real
) | SELECT Address, Num_of_staff FROM shop WHERE NOT Shop_ID IN (SELECT Shop_ID FROM happy_hour) ORDER BY Address | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1144,
41,
8541,
834,
4309,
16,
17,
6,
5570,
1499,
6,
19428,
834,
6043,
1499,
6,
7526,
16,
17,
6,
2900,
834,
858,
834,
29446,
16,
17,
6,
7166,
834,
858,
834,
12066,
2009,
16,
17,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
13246,
6,
1174,
51,
834,
858,
834,
26416,
21680,
1814,
549,
17444,
427,
4486,
3687,
834,
4309,
3388,
41,
23143,
14196,
3687,
834,
4309,
21680,
1095,
834,
5842,
61,
4674,
11300,
272,
476,
13246,
1,
-100,
-100,
-100,
-1... |
When was Laurent-Marie-Joseph Imbert / St. Imbert, who was beatified after 1909 and canonised after 1984, martyred? | CREATE TABLE table_name_65 (martyred INTEGER, canonised VARCHAR, beatified VARCHAR, name VARCHAR) | SELECT MAX(martyred) FROM table_name_65 WHERE beatified > 1909 AND name = "laurent-marie-joseph imbert / st. imbert" AND canonised > 1984 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
1635,
17,
63,
1271,
3,
21342,
17966,
6,
54,
106,
3375,
584,
4280,
28027,
6,
3853,
3676,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
1635,
17,
63,
1271,
61,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
3853,
3676,
2490,
957,
4198,
3430,
564,
3274,
96,
40,
402,
5320,
18,
17289,
15,
18,
1927,
7,
15,
102,
107,
256,
7041,
3,
8... |
What is Couple, when Choreographer(s) is Nakul Dev Mahajan? | CREATE TABLE table_6863 (
"Couple" text,
"Style" text,
"Music" text,
"Choreographer(s)" text,
"Chosen by" text
) | SELECT "Couple" FROM table_6863 WHERE "Choreographer(s)" = 'nakul dev mahajan' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3651,
3891,
41,
96,
3881,
413,
109,
121,
1499,
6,
96,
30719,
121,
1499,
6,
96,
29035,
121,
1499,
6,
96,
3541,
127,
15,
19891,
599,
7,
61,
121,
1499,
6,
96,
254,
9672,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
3881,
413,
109,
121,
21680,
953,
834,
3651,
3891,
549,
17444,
427,
96,
3541,
127,
15,
19891,
599,
7,
61,
121,
3274,
3,
31,
29,
9,
10701,
20,
208,
954,
1024,
7066,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How many clubs remained when there were 4 winners from the previous round? | CREATE TABLE table_29566686_1 (clubs_remaining VARCHAR, winners_from_previous_round VARCHAR) | SELECT clubs_remaining FROM table_29566686_1 WHERE winners_from_previous_round = 4 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3166,
4834,
3539,
3840,
834,
536,
41,
13442,
7,
834,
60,
7484,
53,
584,
4280,
28027,
6,
8969,
834,
7152,
834,
2026,
19117,
834,
7775,
584,
4280,
28027,
61,
3,
32102,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
8122,
834,
60,
7484,
53,
21680,
953,
834,
3166,
4834,
3539,
3840,
834,
536,
549,
17444,
427,
8969,
834,
7152,
834,
2026,
19117,
834,
7775,
3274,
314,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Name the kerry # for others# is 44 | CREATE TABLE table_1733457_1 (
kerry_number VARCHAR,
others_number VARCHAR
) | SELECT kerry_number FROM table_1733457_1 WHERE others_number = 44 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
519,
3710,
3436,
834,
536,
41,
3,
2304,
651,
834,
5525,
1152,
584,
4280,
28027,
6,
717,
834,
5525,
1152,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
2304,
651,
834,
5525,
1152,
21680,
953,
834,
2517,
519,
3710,
3436,
834,
536,
549,
17444,
427,
717,
834,
5525,
1152,
3274,
8537,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
How many cuts did Bernd Wiesberger make? | CREATE TABLE table_28540609_2 (
cuts_made VARCHAR,
player VARCHAR
) | SELECT cuts_made FROM table_28540609_2 WHERE player = "Bernd Wiesberger" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
5062,
5176,
4198,
834,
357,
41,
8620,
834,
4725,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
8620,
410,
8942,
26,
2739,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
8620,
834,
4725,
21680,
953,
834,
2577,
5062,
5176,
4198,
834,
357,
549,
17444,
427,
1959,
3274,
96,
279,
49,
727,
2739,
7,
16170,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What district did S. William Green belong to? | CREATE TABLE table_18326 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Result" text,
"Candidates" text
) | SELECT "District" FROM table_18326 WHERE "Incumbent" = 'S. William Green' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24361,
2688,
41,
96,
308,
23,
20066,
121,
1499,
6,
96,
1570,
75,
5937,
295,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
25171,
8160,
121,
490,
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,
308,
23,
20066,
121,
21680,
953,
834,
24361,
2688,
549,
17444,
427,
96,
1570,
75,
5937,
295,
121,
3274,
3,
31,
134,
5,
4599,
1862,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What player has 71-72-66=209 as the score? | CREATE TABLE table_name_13 (player VARCHAR, score VARCHAR) | SELECT player FROM table_name_13 WHERE score = 71 - 72 - 66 = 209 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2368,
41,
20846,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1959,
65,
3,
4450,
18,
5865,
18,
3539,
2423,
357,
4198,
38,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1959,
21680,
953,
834,
4350,
834,
2368,
549,
17444,
427,
2604,
3274,
3,
4450,
3,
18,
9455,
3,
18,
3,
3539,
3274,
460,
1298,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
WHAT IS THE RADICAL WITH g , AND STROKE COUNT OF 7? | CREATE TABLE table_50177 (
"Radical (variants)" text,
"Stroke count" real,
"P\u012bny\u012bn" text,
"Hiragana - Romaji" text,
"Meaning" text,
"Frequency" real,
"Examples" text
) | SELECT "Radical (variants)" FROM table_50177 WHERE "P\u012bny\u012bn" = 'gǔ' AND "Stroke count" = '7' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1752,
26793,
41,
96,
448,
9,
26,
1950,
41,
9504,
2366,
61,
121,
1499,
6,
96,
11500,
1825,
15,
3476,
121,
490,
6,
96,
345,
2,
76,
632,
2122,
115,
29,
63,
2,
76,
632,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
448,
9,
26,
1950,
41,
9504,
2366,
61,
121,
21680,
953,
834,
1752,
26793,
549,
17444,
427,
96,
345,
2,
76,
632,
2122,
115,
29,
63,
2,
76,
632,
2122,
115,
29,
121,
3274,
3,
31,
122,
2,
31,
3430,
96,
11500,
... |
What's the ARWU ranking that has the int' student review of 144, a median rank of less than 10, and 2000 Singapore Asiaweek of none? | CREATE TABLE table_50749 (
"2010 ARWU Rankings" text,
"2010 QS World Rankings" text,
"2010 QS Asian Rankings" text,
"2010 eduniversal Rankings" text,
"2009 QS Asian Rankings: Int\u2019l faculty review" text,
"2009 QS Asian Rankings: Int\u2019l student review" real,
"2000 Singapore \u201cAsiaweek\u201d Rankings" text,
"University" text,
"Local" text,
"Median ranks" real
) | SELECT "2010 ARWU Rankings" FROM table_50749 WHERE "2000 Singapore \u201cAsiaweek\u201d Rankings" = 'none' AND "Median ranks" < '10' AND "2009 QS Asian Rankings: Int\u2019l student review" = '144' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1752,
940,
3647,
41,
96,
14926,
11155,
518,
1265,
29153,
7,
121,
1499,
6,
96,
14926,
1593,
134,
1150,
29153,
7,
121,
1499,
6,
96,
14926,
1593,
134,
6578,
29153,
7,
121,
149... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
14926,
11155,
518,
1265,
29153,
7,
121,
21680,
953,
834,
1752,
940,
3647,
549,
17444,
427,
96,
13527,
6243,
3,
2,
76,
22772,
75,
188,
7,
23,
9,
8041,
2,
76,
22772,
26,
29153,
7,
121,
3274,
3,
31,
29,
782,
... |
What is the enrollment of the school whose mascot is hot dogs? | CREATE TABLE table_name_53 (
enrollment INTEGER,
mascot VARCHAR
) | SELECT SUM(enrollment) FROM table_name_53 WHERE mascot = "hot dogs" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4867,
41,
17938,
3,
21342,
17966,
6,
3,
2754,
4310,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
17938,
13,
8,
496,
3,
2544,
3,
2754,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
35,
4046,
297,
61,
21680,
953,
834,
4350,
834,
4867,
549,
17444,
427,
3,
2754,
4310,
3274,
96,
10718,
3887,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the average sinclair coefficient with a Sinclair Total of 477.2772023, and a Weight Class (kg) larger than 105? | CREATE TABLE table_name_61 (sinclair_coefficient INTEGER, sinclair_total VARCHAR, weight_class__kg_ VARCHAR) | SELECT AVG(sinclair_coefficient) FROM table_name_61 WHERE sinclair_total = 477.2772023 AND weight_class__kg_ > 105 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
7,
77,
7997,
834,
509,
16995,
3,
21342,
17966,
6,
3731,
7997,
834,
235,
1947,
584,
4280,
28027,
6,
1293,
834,
4057,
834,
834,
8711,
834,
584,
4280,
280... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
7,
77,
7997,
834,
509,
16995,
61,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
3731,
7997,
834,
235,
1947,
3274,
314,
4013,
5,
2555,
18517,
2773,
3430,
1293,
834,
4057,
834,
834,
8711,
834,
249... |
What's the name of the church in Stavang? | CREATE TABLE table_21948 (
"Parish (Prestegjeld)" text,
"Sub-Parish (Sokn)" text,
"Church Name" text,
"Year Built" text,
"Location of the Church" text
) | SELECT "Church Name" FROM table_21948 WHERE "Location of the Church" = 'Stavang' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
2294,
3707,
41,
96,
13212,
1273,
41,
10572,
849,
122,
354,
8804,
61,
121,
1499,
6,
96,
25252,
18,
13212,
1273,
41,
134,
1825,
29,
61,
121,
1499,
6,
96,
3541,
450,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
3541,
450,
524,
5570,
121,
21680,
953,
834,
357,
2294,
3707,
549,
17444,
427,
96,
434,
32,
75,
257,
13,
8,
2345,
121,
3274,
3,
31,
134,
17,
8644,
1725,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the road numbers when the builder is alco, the railroad (quantity) is union pacific railroad (105) and the class is csa-2? | CREATE TABLE table_name_8 (
road_numbers VARCHAR,
class VARCHAR,
builder VARCHAR,
railroad__quantity_ VARCHAR
) | SELECT road_numbers FROM table_name_8 WHERE builder = "alco" AND railroad__quantity_ = "union pacific railroad (105)" AND class = "csa-2" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
1373,
834,
5525,
1152,
7,
584,
4280,
28027,
6,
853,
584,
4280,
28027,
6,
918,
49,
584,
4280,
28027,
6,
21666,
834,
834,
13158,
485,
834,
584,
4280,
2802... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1373,
834,
5525,
1152,
7,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
918,
49,
3274,
96,
138,
509,
121,
3430,
21666,
834,
834,
13158,
485,
834,
3274,
96,
16598,
3,
5379,
3286,
21666,
11704,
9120,
121,
3430,
85... |
Find the id and name of the stadium where the largest number of injury accidents occurred. | CREATE TABLE injury_accident (
game_id number,
id number,
player text,
injury text,
number_of_matches text,
source text
)
CREATE TABLE game (
stadium_id number,
id number,
season number,
date text,
home_team text,
away_team text,
score text,
competition text
)
CREATE TABLE stadium (
id number,
name text,
home_games number,
average_attendance number,
total_attendance number,
capacity_percentage number
) | SELECT T1.id, T1.name FROM stadium AS T1 JOIN game AS T2 ON T1.id = T2.stadium_id JOIN injury_accident AS T3 ON T2.id = T3.game_id GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2871,
834,
6004,
4215,
41,
467,
834,
23,
26,
381,
6,
3,
23,
26,
381,
6,
1959,
1499,
6,
2871,
1499,
6,
381,
834,
858,
834,
19515,
15,
7,
1499,
6,
1391,
1499,
3,
61,
3,
32102,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
332,
5411,
23,
26,
6,
332,
5411,
4350,
21680,
14939,
6157,
332,
536,
3,
15355,
3162,
467,
6157,
332,
357,
9191,
332,
5411,
23,
26,
3274,
332,
4416,
2427,
12925,
834,
23,
26,
3,
15355,
3162,
2871,
834,
6004,
4215,
... |
How many weeks has 54,187 as the attendance? | CREATE TABLE table_name_87 (
week VARCHAR,
attendance VARCHAR
) | SELECT COUNT(week) FROM table_name_87 WHERE attendance = 54 OFFSET 187 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4225,
41,
471,
584,
4280,
28027,
6,
11364,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
1274,
65,
10630,
6,
25828,
38,
8,
11364,
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,
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,
2847,
17161,
599,
8041,
61,
21680,
953,
834,
4350,
834,
4225,
549,
17444,
427,
11364,
3274,
10630,
3,
15316,
20788,
3,
25828,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What year did the company have a balance sheet total of €125,359,000? | CREATE TABLE table_name_69 (year VARCHAR, balance_sheet_total VARCHAR) | SELECT COUNT(year) FROM table_name_69 WHERE balance_sheet_total = "€125,359,000" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
1201,
584,
4280,
28027,
6,
2109,
834,
12230,
834,
235,
1947,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
215,
410,
8,
349,
43,
3,
9,
2109... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
1201,
61,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
2109,
834,
12230,
834,
235,
1947,
3274,
96,
3378,
10124,
6,
2469,
23938,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the fewest number of 2005 subscribers for Vodafone? | CREATE TABLE table_29395291_2 (subscribers__2005___thousands_ INTEGER, provider VARCHAR) | SELECT MIN(subscribers__2005___thousands_) FROM table_29395291_2 WHERE provider = "Vodafone" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3166,
3288,
5373,
4729,
834,
357,
41,
7304,
19308,
52,
7,
834,
834,
22594,
834,
834,
834,
189,
1162,
232,
7,
834,
3,
21342,
17966,
6,
3175,
584,
4280,
28027,
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,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
7304,
19308,
52,
7,
834,
834,
22594,
834,
834,
834,
189,
1162,
232,
7,
834,
61,
21680,
953,
834,
3166,
3288,
5373,
4729,
834,
357,
549,
17444,
427,
3175,
3274,
96,
553,
32,
26,
9,
89,
782,
121,
1,... |
in their last hospital visit, how much does it cost for the hospital stay of patient 027-142835? | CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
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 patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
) | SELECT SUM(cost.cost) FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-142835' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
23886,
41,
23886,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2672,
4350,
1499,
6,
23886,
4350,
1499,
6,
23886,
715,
97,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
11290,
5,
11290,
61,
21680,
583,
549,
17444,
427,
583,
5,
10061,
15878,
3734,
21545,
23,
26,
3388,
41,
23143,
14196,
1868,
5,
10061,
15878,
3734,
21545,
23,
26,
21680,
1868,
549,
17444,
427,
1868,
5,
... |
What is the total number of golds having a total of 1, bronzes of 0, and from West Germany? | CREATE TABLE table_name_61 (gold VARCHAR, nation VARCHAR, total VARCHAR, bronze VARCHAR) | SELECT COUNT(gold) FROM table_name_61 WHERE total = 1 AND bronze < 1 AND nation = "west germany" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4241,
41,
14910,
584,
4280,
28027,
6,
2982,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
6,
13467,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
2847,
17161,
599,
14910,
61,
21680,
953,
834,
4350,
834,
4241,
549,
17444,
427,
792,
3274,
209,
3430,
13467,
3,
2,
209,
3430,
2982,
3274,
96,
12425,
13692,
63,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Select the names and the prices of all the products in the store. | CREATE TABLE products (
name VARCHAR,
price VARCHAR
) | SELECT name, price FROM products | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
494,
41,
564,
584,
4280,
28027,
6,
594,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
6185,
8,
3056,
11,
8,
1596,
13,
66,
8,
494,
16,
8,
1078,
5,
1,
0,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
564,
6,
594,
21680,
494,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
For the game that ended with a record of 28-35-1, what was the decision? | CREATE TABLE table_name_22 (
decision VARCHAR,
record VARCHAR
) | SELECT decision FROM table_name_22 WHERE record = "28-35-1" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
1357,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
242,
8,
467,
24,
3492,
28,
3,
9,
1368,
13,
2059,
18,
2469,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1357,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
1368,
3274,
96,
2577,
18,
2469,
2292,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What system has a current version of 1.4e? | CREATE TABLE table_name_65 (
system VARCHAR,
current_version VARCHAR
) | SELECT system FROM table_name_65 WHERE current_version = "1.4e" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4122,
41,
358,
584,
4280,
28027,
6,
750,
834,
8674,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
358,
65,
3,
9,
750,
988,
13,
3,
14912,
15,
58,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
358,
21680,
953,
834,
4350,
834,
4122,
549,
17444,
427,
750,
834,
8674,
3274,
96,
14912,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Which campus has the most degrees conferred in all times? | CREATE TABLE degrees (campus VARCHAR, degrees INTEGER) | SELECT campus FROM degrees GROUP BY campus ORDER BY SUM(degrees) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4526,
41,
25532,
584,
4280,
28027,
6,
4526,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
4073,
4730,
65,
8,
167,
4526,
11323,
1271,
16,
66,
648,
58,
1,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4730,
21680,
4526,
350,
4630,
6880,
272,
476,
4730,
4674,
11300,
272,
476,
180,
6122,
599,
19706,
7,
61,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Where were the Mediterranean games after 2005? | CREATE TABLE table_80214 (
"Year" real,
"Competition" text,
"Venue" text,
"Position" text,
"Notes" text
) | SELECT "Venue" FROM table_80214 WHERE "Competition" = 'mediterranean games' AND "Year" > '2005' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2079,
27357,
41,
96,
476,
2741,
121,
490,
6,
96,
5890,
4995,
4749,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
10358,
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,
96,
553,
35,
76,
15,
121,
21680,
953,
834,
2079,
27357,
549,
17444,
427,
96,
5890,
4995,
4749,
121,
3274,
3,
31,
5700,
12829,
29,
15,
152,
1031,
31,
3430,
96,
476,
2741,
121,
2490,
3,
31,
22594,
31,
1,
-100,
-10... |
How many Points have a Score of 3–0? | CREATE TABLE table_name_80 (points VARCHAR, score VARCHAR) | SELECT COUNT(points) FROM table_name_80 WHERE score = "3–0" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
2700,
7,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
4564,
7,
43,
3,
9,
17763,
13,
220,
104,
632,
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,
0... | [
3,
23143,
14196,
2847,
17161,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
2604,
3274,
96,
519,
104,
632,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
who is the opponent on 18 january 1993? | CREATE TABLE table_77184 (
"Outcome" text,
"Date" text,
"Championship" text,
"Surface" text,
"Opponent" text,
"Score" text
) | SELECT "Opponent" FROM table_77184 WHERE "Date" = '18 january 1993' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4013,
25987,
41,
96,
15767,
287,
15,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
254,
1483,
12364,
2009,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
667,
102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
667,
102,
9977,
121,
21680,
953,
834,
4013,
25987,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
2606,
3,
7066,
76,
1208,
8388,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What film did michaylo ilyenko make with best actor in a supporting role? | CREATE TABLE table_10236830_1 (film_name VARCHAR, director VARCHAR, nomination VARCHAR) | SELECT film_name FROM table_10236830_1 WHERE director = "Michaylo Ilyenko" AND nomination = "Best Actor in a Supporting Role" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1714,
2773,
3651,
1458,
834,
536,
41,
9988,
834,
4350,
584,
4280,
28027,
6,
2090,
584,
4280,
28027,
6,
13588,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
814,
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,
0,
0,
0... | [
3,
23143,
14196,
814,
834,
4350,
21680,
953,
834,
1714,
2773,
3651,
1458,
834,
536,
549,
17444,
427,
2090,
3274,
96,
329,
362,
9,
63,
40,
32,
27,
120,
18994,
121,
3430,
13588,
3274,
96,
17278,
1983,
127,
16,
3,
9,
4224,
53,
2158,
... |
How many teams eliminated b ziers from competition? | CREATE TABLE table_28068063_3 (
match_points VARCHAR,
eliminated_from_competition VARCHAR
) | SELECT COUNT(match_points) FROM table_28068063_3 WHERE eliminated_from_competition = "Béziers" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
5176,
2079,
3891,
834,
519,
41,
1588,
834,
2700,
7,
584,
4280,
28027,
6,
17809,
834,
7152,
834,
287,
4995,
4749,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
19515,
834,
2700,
7,
61,
21680,
953,
834,
2577,
5176,
2079,
3891,
834,
519,
549,
17444,
427,
17809,
834,
7152,
834,
287,
4995,
4749,
3274,
96,
279,
154,
14567,
7,
121,
1,
-100,
-100,
-100,
-100,
-1... |
What is the earliest year that a candidate was first elected? | CREATE TABLE table_1341897_42 (first_elected INTEGER) | SELECT MIN(first_elected) FROM table_1341897_42 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
2606,
4327,
834,
4165,
41,
14672,
834,
19971,
3,
21342,
17966,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3,
16454,
215,
24,
3,
9,
4775,
47,
166,
8160,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
14672,
834,
19971,
61,
21680,
953,
834,
23747,
2606,
4327,
834,
4165,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What was the weight for the player in Zhejiang in 2008? | CREATE TABLE table_66570 (
"Name" text,
"Height" text,
"Weight" text,
"Spike" text,
"2008 club" text
) | SELECT "Weight" FROM table_66570 WHERE "2008 club" = 'zhejiang' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3539,
28363,
41,
96,
23954,
121,
1499,
6,
96,
3845,
2632,
121,
1499,
6,
96,
1326,
2632,
121,
1499,
6,
96,
134,
102,
5208,
121,
1499,
6,
96,
16128,
1886,
121,
1499,
3,
61,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
1326,
2632,
121,
21680,
953,
834,
3539,
28363,
549,
17444,
427,
96,
16128,
1886,
121,
3274,
3,
31,
172,
88,
354,
23,
1468,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What event did he compete in at Taipei? | CREATE TABLE table_66562 (
"Season" text,
"Event type" text,
"Location" text,
"Format" text,
"Date" text,
"Rank" real
) | SELECT "Format" FROM table_66562 WHERE "Location" = 'taipei' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3539,
4834,
357,
41,
96,
134,
15,
9,
739,
121,
1499,
6,
96,
427,
2169,
686,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
3809,
3357,
121,
1499,
6,
96,
308,
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,
3809,
3357,
121,
21680,
953,
834,
3539,
4834,
357,
549,
17444,
427,
96,
434,
32,
75,
257,
121,
3274,
3,
31,
17,
9,
23,
855,
23,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the lowest pick for the kicker after round 12? | CREATE TABLE table_name_23 (
pick INTEGER,
round VARCHAR,
position VARCHAR
) | SELECT MIN(pick) FROM table_name_23 WHERE round > 12 AND position = "kicker" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2773,
41,
1432,
3,
21342,
17966,
6,
1751,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
7402,
1432,
21,
8,
4583,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
17684,
599,
17967,
61,
21680,
953,
834,
4350,
834,
2773,
549,
17444,
427,
1751,
2490,
586,
3430,
1102,
3274,
96,
2168,
3383,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many polling percentages were there in October 2008 when is was 30.8% in Aug 2008? | CREATE TABLE table_23680576_2 (
oct_2008 VARCHAR,
aug_2008 VARCHAR
) | SELECT COUNT(oct_2008) FROM table_23680576_2 WHERE aug_2008 = "30.8%" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
3651,
3076,
3959,
834,
357,
41,
3,
32,
75,
17,
834,
16128,
584,
4280,
28027,
6,
185,
122,
834,
16128,
584,
4280,
28027,
3,
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,
0... | [
3,
23143,
14196,
2847,
17161,
599,
32,
75,
17,
834,
16128,
61,
21680,
953,
834,
2773,
3651,
3076,
3959,
834,
357,
549,
17444,
427,
185,
122,
834,
16128,
3274,
96,
1458,
5,
5953,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which label had a catalog designation of ch-9196? | CREATE TABLE table_name_48 (label VARCHAR, catalog VARCHAR) | SELECT label FROM table_name_48 WHERE catalog = "ch-9196" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3707,
41,
40,
10333,
584,
4280,
28027,
6,
10173,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
3783,
141,
3,
9,
10173,
21767,
13,
3,
524,
7141,
26937,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3783,
21680,
953,
834,
4350,
834,
3707,
549,
17444,
427,
10173,
3274,
96,
524,
7141,
26937,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What was Nick Faldo's score? | CREATE TABLE table_name_73 (score VARCHAR, player VARCHAR) | SELECT score FROM table_name_73 WHERE player = "nick faldo" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
7,
9022,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
7486,
10747,
26,
32,
31,
7,
2604,
58,
1,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
1959,
3274,
96,
11191,
12553,
26,
32,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
In what place did Darren Clarke finish? | CREATE TABLE table_name_23 (place VARCHAR, player VARCHAR) | SELECT place FROM table_name_23 WHERE player = "darren clarke" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2773,
41,
4687,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
86,
125,
286,
410,
3,
29367,
8265,
15,
1992,
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,
286,
21680,
953,
834,
4350,
834,
2773,
549,
17444,
427,
1959,
3274,
96,
3439,
1536,
6860,
1050,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the total number of votes for 3rd voted out day 9 | CREATE TABLE table_24233848_2 (vote VARCHAR, finish VARCHAR) | SELECT COUNT(vote) FROM table_24233848_2 WHERE finish = "3rd voted Out Day 9" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
2773,
3747,
3707,
834,
357,
41,
1621,
17,
15,
584,
4280,
28027,
6,
1992,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
792,
381,
13,
11839,
21,
220,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
1621,
17,
15,
61,
21680,
953,
834,
2266,
2773,
3747,
3707,
834,
357,
549,
17444,
427,
1992,
3274,
96,
519,
52,
26,
3,
11060,
3387,
1430,
668,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Is there a Venus that's a year later than 2002, with an Event of 4x400m relay in 4th Position? | CREATE TABLE table_name_82 (
venue VARCHAR,
position VARCHAR,
event VARCHAR,
year VARCHAR
) | SELECT venue FROM table_name_82 WHERE event = "4x400m relay" AND year > 2002 AND position = "4th" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4613,
41,
5669,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
6,
605,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
27,
7,
132... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
4613,
549,
17444,
427,
605,
3274,
96,
591,
226,
5548,
51,
16010,
121,
3430,
215,
2490,
4407,
3430,
1102,
3274,
96,
591,
189,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What date did af giles play? | CREATE TABLE table_54704 (
"Catches" text,
"Player" text,
"Versus" text,
"Venue" text,
"Date" text
) | SELECT "Date" FROM table_54704 WHERE "Player" = 'af giles' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
5062,
2518,
591,
41,
96,
18610,
2951,
121,
1499,
6,
96,
15800,
49,
121,
1499,
6,
96,
5000,
7,
302,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
308,
342,
121,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
342,
121,
21680,
953,
834,
5062,
2518,
591,
549,
17444,
427,
96,
15800,
49,
121,
3274,
3,
31,
9,
89,
3,
122,
699,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many players are from each country Visualize by bar chart, display by the bar in descending please. | CREATE TABLE player (
Player_ID int,
Player text,
Years_Played text,
Total_WL text,
Singles_WL text,
Doubles_WL text,
Team int
)
CREATE TABLE match_season (
Season real,
Player text,
Position text,
Country int,
Team int,
Draft_Pick_Number int,
Draft_Class text,
College text
)
CREATE TABLE team (
Team_id int,
Name text
)
CREATE TABLE country (
Country_id int,
Country_name text,
Capital text,
Official_native_language text
) | SELECT Country_name, COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name ORDER BY Country_name DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1959,
41,
12387,
834,
4309,
16,
17,
6,
12387,
1499,
6,
13825,
834,
15800,
15,
26,
1499,
6,
9273,
834,
24102,
1499,
6,
7871,
7,
834,
24102,
1499,
6,
8405,
7,
834,
24102,
1499,
6,
22... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
6993,
834,
4350,
6,
2847,
17161,
599,
1935,
61,
21680,
684,
6157,
332,
536,
3,
15355,
3162,
1588,
834,
9476,
6157,
332,
357,
9191,
332,
5411,
10628,
651,
834,
23,
26,
3274,
332,
4416,
10628,
651,
350,
4630,
6880,
27... |
What game ended with a final score of 126-108? | CREATE TABLE table_name_16 (
game INTEGER,
score VARCHAR
) | SELECT MAX(game) FROM table_name_16 WHERE score = "126-108" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2938,
41,
467,
3,
21342,
17966,
6,
2604,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
467,
3492,
28,
3,
9,
804,
2604,
13,
3,
21976,
18,
16169,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4800,
4,
599,
7261,
61,
21680,
953,
834,
4350,
834,
2938,
549,
17444,
427,
2604,
3274,
96,
21976,
18,
16169,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
For each file format, return the number of artists who released songs in that format Show bar chart, and could you show in ascending by the the total number ? | CREATE TABLE files (
f_id number(10),
artist_name varchar2(50),
file_size varchar2(20),
duration varchar2(20),
formats varchar2(20)
)
CREATE TABLE song (
song_name varchar2(50),
artist_name varchar2(50),
country varchar2(20),
f_id number(10),
genre_is varchar2(20),
rating number(10),
languages varchar2(20),
releasedate Date,
resolution number(10)
)
CREATE TABLE genre (
g_name varchar2(20),
rating varchar2(10),
most_popular_in varchar2(50)
)
CREATE TABLE artist (
artist_name varchar2(50),
country varchar2(20),
gender varchar2(20),
preferred_genre varchar2(50)
) | SELECT formats, COUNT(*) FROM files GROUP BY formats ORDER BY COUNT(*) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2073,
41,
3,
89,
834,
23,
26,
381,
599,
16968,
6,
2377,
834,
4350,
3,
4331,
4059,
357,
599,
1752,
201,
1042,
834,
7991,
3,
4331,
4059,
357,
599,
1755,
201,
8659,
3,
4331,
4059,
357... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
10874,
6,
2847,
17161,
599,
1935,
61,
21680,
2073,
350,
4630,
6880,
272,
476,
10874,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
WHAT IS THE ROUND NUMBER OF NICHOLAS TREMBLAY? | CREATE TABLE table_name_59 (round VARCHAR, player VARCHAR) | SELECT COUNT(round) FROM table_name_59 WHERE player = "nicholas tremblay" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3390,
41,
7775,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
21665,
6827,
1853,
10264,
13110,
445,
6122,
12920,
3347,
3,
18830,
62... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
7775,
61,
21680,
953,
834,
4350,
834,
3390,
549,
17444,
427,
1959,
3274,
96,
2532,
2831,
9,
7,
3,
929,
51,
4605,
63,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What us the number of the round during which #56 Blue Thunder Racing become the GTP winning team and #38 Mandeville Auto Tech became the GTO winning team? | CREATE TABLE table_13643320_2 (rnd VARCHAR, gtp_winning_team VARCHAR, gto_winning_team VARCHAR) | SELECT rnd FROM table_13643320_2 WHERE gtp_winning_team = "#56 Blue Thunder Racing" AND gto_winning_team = "#38 Mandeville Auto Tech" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23459,
4906,
15003,
834,
357,
41,
52,
727,
584,
4280,
28027,
6,
3,
122,
17,
102,
834,
8163,
834,
11650,
584,
4280,
28027,
6,
3,
122,
235,
834,
8163,
834,
11650,
584,
4280,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
52,
727,
21680,
953,
834,
23459,
4906,
15003,
834,
357,
549,
17444,
427,
3,
122,
17,
102,
834,
8163,
834,
11650,
3274,
96,
4663,
4834,
2419,
18114,
16046,
121,
3430,
3,
122,
235,
834,
8163,
834,
11650,
3274,
96,
... |
What are the nationalities and the taotal ages of journalists Visualize by a bar chart, sort y-axis from low to high order. | CREATE TABLE journalist (
journalist_ID int,
Name text,
Nationality text,
Age text,
Years_working int
)
CREATE TABLE event (
Event_ID int,
Date text,
Venue text,
Name text,
Event_Attendance int
)
CREATE TABLE news_report (
journalist_ID int,
Event_ID int,
Work_Type text
) | SELECT Nationality, SUM(Age) FROM journalist GROUP BY Nationality ORDER BY SUM(Age) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
9994,
41,
9994,
834,
4309,
16,
17,
6,
5570,
1499,
6,
868,
485,
1499,
6,
7526,
1499,
6,
13825,
834,
9238,
16,
17,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
605,
41... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
868,
485,
6,
180,
6122,
599,
188,
397,
61,
21680,
9994,
350,
4630,
6880,
272,
476,
868,
485,
4674,
11300,
272,
476,
180,
6122,
599,
188,
397,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the highest Grid with a time of +1:19.905, and less than 20 laps? | CREATE TABLE table_name_22 (grid INTEGER, time VARCHAR, laps VARCHAR) | SELECT MAX(grid) FROM table_name_22 WHERE time = "+1:19.905" AND laps < 20 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2884,
41,
3496,
26,
3,
21342,
17966,
6,
97,
584,
4280,
28027,
6,
14941,
7,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
23644,
28,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
3496,
26,
61,
21680,
953,
834,
4350,
834,
2884,
549,
17444,
427,
97,
3274,
96,
18446,
10,
2294,
5,
2394,
17395,
3430,
14941,
7,
3,
2,
460,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What did St Kilda score when they were the home team? | CREATE TABLE table_name_53 (home_team VARCHAR) | SELECT home_team AS score FROM table_name_53 WHERE home_team = "st kilda" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4867,
41,
5515,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
410,
472,
12672,
26,
9,
2604,
116,
79,
130,
8,
234,
372,
58,
1,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
234,
834,
11650,
6157,
2604,
21680,
953,
834,
4350,
834,
4867,
549,
17444,
427,
234,
834,
11650,
3274,
96,
7,
17,
3,
157,
173,
26,
9,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When emt 9 is the series what is the date? | CREATE TABLE table_25572118_1 (date VARCHAR, series VARCHAR) | SELECT date FROM table_25572118_1 WHERE series = "EMT 9" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25502,
5865,
20056,
834,
536,
41,
5522,
584,
4280,
28027,
6,
939,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
3,
15,
51,
17,
668,
19,
8,
939,
125,
19,
8,
83... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
833,
21680,
953,
834,
25502,
5865,
20056,
834,
536,
549,
17444,
427,
939,
3274,
96,
6037,
382,
668,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was the signed year for the Chinese name 蘇永康 who separated in 1987? | CREATE TABLE table_name_82 (year_signed VARCHAR, year_separated VARCHAR, chinese_name VARCHAR) | SELECT year_signed FROM table_name_82 WHERE year_separated = "1987" AND chinese_name = "蘇永康" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4613,
41,
1201,
834,
15532,
584,
4280,
28027,
6,
215,
834,
7,
15,
1893,
920,
584,
4280,
28027,
6,
3,
1436,
1496,
15,
834,
4350,
584,
4280,
28027,
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,
0... | [
3,
23143,
14196,
215,
834,
15532,
21680,
953,
834,
4350,
834,
4613,
549,
17444,
427,
215,
834,
7,
15,
1893,
920,
3274,
96,
2294,
4225,
121,
3430,
3,
1436,
1496,
15,
834,
4350,
3274,
96,
2,
121,
1,
-100,
-100,
-100,
-100,
-100,
-10... |
Mideast region host University of Tennessee is in what state? | CREATE TABLE table_name_70 (
state VARCHAR,
region VARCHAR,
host VARCHAR
) | SELECT state FROM table_name_70 WHERE region = "mideast" AND host = "university of tennessee" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
538,
584,
4280,
28027,
6,
1719,
584,
4280,
28027,
6,
2290,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
6650,
11535,
1719,
2290,
636,
13,
1297... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
538,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
1719,
3274,
96,
6983,
11535,
121,
3430,
2290,
3274,
96,
7846,
485,
13,
3,
324,
655,
15,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who is the writer of the film Run? | CREATE TABLE table_name_14 (
writer VARCHAR,
film VARCHAR
) | SELECT writer FROM table_name_14 WHERE film = "run" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2534,
41,
4346,
584,
4280,
28027,
6,
814,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
19,
8,
4346,
13,
8,
814,
7113,
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,
4346,
21680,
953,
834,
4350,
834,
2534,
549,
17444,
427,
814,
3274,
96,
4312,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the name of the circuit in which the race name is ii danish grand prix? | CREATE TABLE table_1140105_6 (
circuit VARCHAR,
race_name VARCHAR
) | SELECT circuit FROM table_1140105_6 WHERE race_name = "II Danish Grand Prix" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2596,
2445,
12869,
834,
948,
41,
4558,
584,
4280,
28027,
6,
1964,
834,
4350,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
564,
13,
8,
4558,
16,
84,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
4558,
21680,
953,
834,
2596,
2445,
12869,
834,
948,
549,
17444,
427,
1964,
834,
4350,
3274,
96,
196,
196,
23124,
2698,
12942,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the tournament on February 17, 2002? | CREATE TABLE table_name_21 (tournament VARCHAR, date VARCHAR) | SELECT tournament FROM table_name_21 WHERE date = "february 17, 2002" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2658,
41,
17,
1211,
20205,
17,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
5892,
30,
2083,
12864,
4407,
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,
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,
5892,
21680,
953,
834,
4350,
834,
2658,
549,
17444,
427,
833,
3274,
96,
89,
15,
9052,
1208,
12864,
4407,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the total attendance in a week greater than 1 with an opponent of Philadelphia Eagles? | CREATE TABLE table_name_92 (
attendance VARCHAR,
week VARCHAR,
opponent VARCHAR
) | SELECT COUNT(attendance) FROM table_name_92 WHERE week > 1 AND opponent = "philadelphia eagles" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4508,
41,
11364,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
11364,
16,
3,
9,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
4508,
549,
17444,
427,
471,
2490,
209,
3430,
15264,
3274,
96,
18118,
15311,
11692,
9,
3,
15,
9,
3537,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Show the title and the lowest rating among all movies in a bar chart, order names from high to low order please. | CREATE TABLE Reviewer (
rID int,
name text
)
CREATE TABLE Movie (
mID int,
title text,
year int,
director text
)
CREATE TABLE Rating (
rID int,
mID int,
stars int,
ratingDate date
) | SELECT title, MIN(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY title ORDER BY title DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4543,
49,
41,
3,
52,
4309,
16,
17,
6,
564,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
10743,
41,
3,
51,
4309,
16,
17,
6,
2233,
1499,
6,
215,
16,
17,
6,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2233,
6,
3,
17684,
599,
382,
5411,
3624,
7,
61,
21680,
21662,
6157,
332,
536,
3,
15355,
3162,
10743,
6157,
332,
357,
9191,
332,
5411,
51,
4309,
3274,
332,
4416,
51,
4309,
350,
4630,
6880,
272,
476,
2233,
4674,
11300... |
What day is south melbourne at home? | CREATE TABLE table_name_35 (date VARCHAR, home_team VARCHAR) | SELECT date FROM table_name_35 WHERE home_team = "south melbourne" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2469,
41,
5522,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
239,
19,
3414,
3,
2341,
26255,
44,
234,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
2469,
549,
17444,
427,
234,
834,
11650,
3274,
96,
7,
670,
107,
3,
2341,
26255,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Shawn Respert play for what school/club team? | CREATE TABLE table_name_66 (school_club_team VARCHAR, player VARCHAR) | SELECT school_club_team FROM table_name_66 WHERE player = "shawn respert" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
6646,
834,
13442,
834,
11650,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
15333,
29,
419,
4339,
17,
577,
21,
125,
496... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
496,
834,
13442,
834,
11650,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
1959,
3274,
96,
15622,
29,
23259,
49,
17,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many laps were there when the start was 12? | CREATE TABLE table_name_69 (laps VARCHAR, start VARCHAR) | SELECT COUNT(laps) FROM table_name_69 WHERE start = "12" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
8478,
7,
584,
4280,
28027,
6,
456,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
14941,
7,
130,
132,
116,
8,
456,
47,
586,
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,
2847,
17161,
599,
8478,
7,
61,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
456,
3274,
96,
2122,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Who directed the episode for s02 e08? | CREATE TABLE table_16384596_4 (
directed_by VARCHAR,
broadcast_order VARCHAR
) | SELECT directed_by FROM table_16384596_4 WHERE broadcast_order = "S02 E08" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2938,
3747,
2128,
4314,
834,
591,
41,
6640,
834,
969,
584,
4280,
28027,
6,
6878,
834,
9397,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2645,
6640,
8,
5640,
21,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
6640,
834,
969,
21680,
953,
834,
2938,
3747,
2128,
4314,
834,
591,
549,
17444,
427,
6878,
834,
9397,
3274,
96,
134,
4305,
262,
4018,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the party for new york 20? | CREATE TABLE table_1342233_32 (party VARCHAR, district VARCHAR) | SELECT party FROM table_1342233_32 WHERE district = "New York 20" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2368,
4165,
20879,
834,
2668,
41,
8071,
584,
4280,
28027,
6,
3939,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1088,
21,
126,
25453,
460,
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,
1088,
21680,
953,
834,
2368,
4165,
20879,
834,
2668,
549,
17444,
427,
3939,
3274,
96,
6861,
1060,
460,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What year had a title of Die Shaolin Affen EP and EP as the type? | CREATE TABLE table_58828 (
"Year" real,
"Artist" text,
"Title" text,
"Format" text,
"Type" text
) | SELECT AVG("Year") FROM table_58828 WHERE "Type" = 'ep' AND "Title" = 'die shaolin affen ep' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
4060,
2577,
41,
96,
476,
2741,
121,
490,
6,
96,
7754,
343,
121,
1499,
6,
96,
382,
155,
109,
121,
1499,
6,
96,
3809,
3357,
121,
1499,
6,
96,
25160,
121,
1499,
3,
61... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
121,
476,
2741,
8512,
21680,
953,
834,
755,
4060,
2577,
549,
17444,
427,
96,
25160,
121,
3274,
3,
31,
15,
102,
31,
3430,
96,
382,
155,
109,
121,
3274,
3,
31,
2498,
6660,
9,
12057,
3,
9,
13602,
3,... |
Which season has a .354 Win%? | CREATE TABLE table_name_6 (season VARCHAR, win_percentage VARCHAR) | SELECT season FROM table_name_6 WHERE win_percentage = ".354" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
948,
41,
9476,
584,
4280,
28027,
6,
1369,
834,
883,
3728,
545,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
774,
65,
3,
9,
3,
5,
2469,
591,
4871,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
774,
21680,
953,
834,
4350,
834,
948,
549,
17444,
427,
1369,
834,
883,
3728,
545,
3274,
96,
5,
2469,
20364,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
How many attended the game against the sharks with over 86 points? | CREATE TABLE table_name_99 (
attendance INTEGER,
points VARCHAR,
opponent VARCHAR
) | SELECT AVG(attendance) FROM table_name_99 WHERE points > 86 AND opponent = "sharks" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
11364,
3,
21342,
17966,
6,
979,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
5526,
8,
467,
581,
8,
180... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
71,
17217,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
979,
2490,
3,
3840,
3430,
15264,
3274,
96,
7,
3272,
157,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what's the cancelable with bubbles being yes | CREATE TABLE table_1507852_5 (
cancelable VARCHAR,
bubbles VARCHAR
) | SELECT cancelable FROM table_1507852_5 WHERE bubbles = "Yes" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
12278,
3940,
5373,
834,
755,
41,
9179,
179,
584,
4280,
28027,
6,
11144,
7,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
125,
31,
7,
8,
9179,
179,
28,
11144,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
9179,
179,
21680,
953,
834,
12278,
3940,
5373,
834,
755,
549,
17444,
427,
11144,
7,
3274,
96,
19739,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What venue was the game played in when the winner was the atlanta hawks (11)? | CREATE TABLE table_name_81 (venue VARCHAR, winner VARCHAR) | SELECT venue FROM table_name_81 WHERE winner = "atlanta hawks (11)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
15098,
584,
4280,
28027,
6,
4668,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
5669,
47,
8,
467,
1944,
16,
116,
8,
4668,
47,
8,
44,
6761,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5669,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
4668,
3274,
96,
144,
6761,
9,
3,
14400,
7,
4077,
6982,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many instances do you see the year 2003? | CREATE TABLE table_20688 (
"Year" real,
"Starts" real,
"Wins" real,
"Top 10" real,
"Avg. Start" text,
"Avg. Finish" text,
"Winnings" text,
"Position" text,
"Team(s)" text
) | SELECT COUNT("Starts") FROM table_20688 WHERE "Year" = '2003' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24643,
4060,
41,
96,
476,
2741,
121,
490,
6,
96,
7681,
17,
7,
121,
490,
6,
96,
18455,
7,
121,
490,
6,
96,
22481,
335,
121,
490,
6,
96,
188,
208,
122,
5,
3273,
121,
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,
121,
7681,
17,
7,
8512,
21680,
953,
834,
24643,
4060,
549,
17444,
427,
96,
476,
2741,
121,
3274,
3,
31,
23948,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
count the amount of hospital visits for patient 029-27704 during this year. | CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
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 lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
) | SELECT COUNT(DISTINCT patient.patienthealthsystemstayid) FROM patient WHERE patient.uniquepid = '029-27704' AND DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
11963,
670,
2562,
41,
11963,
670,
2562,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2358,
8292,
1499,
6,
2358,
40,
10333,
1499,
6,
2358,
7480,
35,
76,
17552,
381,
6,
11963,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
1868,
5,
10061,
15878,
3734,
21545,
23,
26,
61,
21680,
1868,
549,
17444,
427,
1868,
5,
202,
1495,
12417,
3274,
3,
31,
632,
3166,
4949,
4013,
6348,
31,
3430,
309,
6048,
382,
15382,... |
What is the Party of District of Illinois 19 with an Incumbent First elected in 1996? | CREATE TABLE table_78702 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Results" text
) | SELECT "Party" FROM table_78702 WHERE "First elected" = '1996' AND "District" = 'illinois 19' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3940,
2518,
357,
41,
96,
308,
23,
20066,
121,
1499,
6,
96,
1570,
75,
5937,
295,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
25171,
8160,
121,
490,
6,
96,
20119,
7,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
13725,
63,
121,
21680,
953,
834,
3940,
2518,
357,
549,
17444,
427,
96,
25171,
8160,
121,
3274,
3,
31,
2294,
4314,
31,
3430,
96,
308,
23,
20066,
121,
3274,
3,
31,
1092,
77,
32,
159,
957,
31,
1,
-100,
-100,
-1... |
How many providers were founded in 1964? | CREATE TABLE table_11390711_4 (provider_iai_ VARCHAR, foundation VARCHAR) | SELECT COUNT(provider_iai_) FROM table_11390711_4 WHERE foundation = 1964 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2596,
3288,
4560,
2596,
834,
591,
41,
29189,
52,
834,
23,
9,
23,
834,
584,
4280,
28027,
6,
3361,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
3580,
130,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
29189,
52,
834,
23,
9,
23,
834,
61,
21680,
953,
834,
2596,
3288,
4560,
2596,
834,
591,
549,
17444,
427,
3361,
3274,
18969,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Sleeves have a Back of Unknown? | CREATE TABLE table_name_72 (sleeves VARCHAR, back VARCHAR) | SELECT sleeves FROM table_name_72 WHERE back = "unknown" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
7,
109,
15,
162,
7,
584,
4280,
28027,
6,
223,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
31909,
7,
43,
3,
9,
3195,
13,
597,
5661,
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,
19472,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
223,
3274,
96,
202,
5661,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the lowest 2006 metropolitan population for a Mexico City, Mexico with a GDP per capita of less than 20,300? | CREATE TABLE table_64447 (
"Rank" real,
"Metropolitan area" text,
"Country" text,
"GDP (PPP) (2008) Billions of US$" real,
"Metropolitan population (2006) Millions" real,
"GDP (PPP) US$ per capita" real
) | SELECT MIN("Metropolitan population (2006) Millions") FROM table_64447 WHERE "Country" = 'mexico' AND "Metropolitan area" = 'mexico city' AND "GDP (PPP) US$ per capita" < '20,300' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4389,
591,
4177,
41,
96,
22557,
121,
490,
6,
96,
329,
15252,
21631,
29,
616,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
517,
7410,
41,
345,
6158,
61,
26974,
3259,
28... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
121,
329,
15252,
21631,
29,
2074,
28272,
14625,
7,
8512,
21680,
953,
834,
4389,
591,
4177,
549,
17444,
427,
96,
10628,
651,
121,
3274,
3,
31,
51,
994,
5807,
31,
3430,
96,
329,
15252,
21631,
29,
616,
... |
What ward was she nominated at for her work, Flare Path for the category of best featured actress in a play? | CREATE TABLE table_name_62 (
award VARCHAR,
nominated_work VARCHAR,
category VARCHAR
) | SELECT award FROM table_name_62 WHERE nominated_work = "flare path" AND category = "best featured actress in a play" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
2760,
584,
4280,
28027,
6,
150,
1109,
920,
834,
1981,
584,
4280,
28027,
6,
3295,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
3,
2239,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2760,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
150,
1109,
920,
834,
1981,
3274,
96,
89,
40,
355,
2071,
121,
3430,
3295,
3274,
96,
9606,
4510,
15676,
16,
3,
9,
577,
121,
1,
-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.