NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
count the number of patients whose gender is f and primary disease is coronary artery disease\coronary artery bypass graft; myomectomy/sda? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT; MYOMECTOMY/SDA" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
122,
3868,
3274,
96,
371,
121,
3430,
14798,
5,
25930,
4844,
159,
3274,
96,
5911,
13044,
24721,
111... |
What is total number of show times per dat for each cinema? | CREATE TABLE film (
film_id number,
rank_in_series number,
number_in_season number,
title text,
directed_by text,
original_air_date text,
production_code text
)
CREATE TABLE schedule (
cinema_id number,
film_id number,
date text,
show_times_per_day number,
price number
)
CREATE TABLE cinema (
cinema_id number,
name text,
openning_year number,
capacity number,
location text
) | SELECT T2.name, SUM(T1.show_times_per_day) FROM schedule AS T1 JOIN cinema AS T2 ON T1.cinema_id = T2.cinema_id GROUP BY T1.cinema_id | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
814,
41,
814,
834,
23,
26,
381,
6,
11003,
834,
77,
834,
10833,
7,
381,
6,
381,
834,
77,
834,
9476,
381,
6,
2233,
1499,
6,
6640,
834,
969,
1499,
6,
926,
834,
2256,
834,
5522,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
332,
4416,
4350,
6,
180,
6122,
599,
382,
5411,
10049,
834,
715,
7,
834,
883,
834,
1135,
61,
21680,
2023,
6157,
332,
536,
3,
15355,
3162,
10276,
6157,
332,
357,
9191,
332,
5411,
14760,
51,
9,
834,
23,
26,
3274,
332... |
Which Payment has a Type of text, and a Release date of 26 september, 2003? | CREATE TABLE table_name_12 (
payment VARCHAR,
type VARCHAR,
release_date VARCHAR
) | SELECT payment FROM table_name_12 WHERE type = "text" AND release_date = "26 september, 2003" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2122,
41,
1942,
584,
4280,
28027,
6,
686,
584,
4280,
28027,
6,
1576,
834,
5522,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
12248,
65,
3,
9,
66... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1942,
21680,
953,
834,
4350,
834,
2122,
549,
17444,
427,
686,
3274,
96,
6327,
121,
3430,
1576,
834,
5522,
3274,
96,
2688,
16022,
18247,
6,
3888,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Who was the away team when the home team scored 10.12 (72)? | CREATE TABLE table_33310 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Away team" FROM table_33310 WHERE "Home team score" = '10.12 (72)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23360,
1714,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
188,
1343,
372,
121,
21680,
953,
834,
23360,
1714,
549,
17444,
427,
96,
19040,
372,
2604,
121,
3274,
3,
31,
22567,
357,
13649,
7318,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total attendance on April 25? | CREATE TABLE table_name_28 (attendance VARCHAR, date VARCHAR) | SELECT COUNT(attendance) FROM table_name_28 WHERE date = "april 25" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
15116,
663,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
11364,
30,
1186,
944,
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,
2847,
17161,
599,
15116,
663,
61,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
833,
3274,
96,
9,
2246,
40,
944,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
In the Year 1939, what was the Finish when Al was the League? | CREATE TABLE table_name_88 (finish VARCHAR, league VARCHAR, year VARCHAR) | SELECT finish FROM table_name_88 WHERE league = "al" AND year = 1939 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4060,
41,
25535,
584,
4280,
28027,
6,
5533,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
86,
8,
2929,
957,
3288,
6,
125,
47,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1992,
21680,
953,
834,
4350,
834,
4060,
549,
17444,
427,
5533,
3274,
96,
138,
121,
3430,
215,
3274,
957,
3288,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the total years with more than 1 points? | CREATE TABLE table_name_2 (
year INTEGER,
points INTEGER
) | SELECT SUM(year) FROM table_name_2 WHERE points > 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
215,
3,
21342,
17966,
6,
979,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
792,
203,
28,
72,
145,
209,
979,
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,
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,
180,
6122,
599,
1201,
61,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
979,
2490,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
How many silver medals were won in 1938? | CREATE TABLE table_name_42 (silver VARCHAR, year VARCHAR) | SELECT silver FROM table_name_42 WHERE year = "1938" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4165,
41,
7,
173,
624,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
4294,
9365,
7,
130,
751,
16,
25745,
58,
1,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4294,
21680,
953,
834,
4350,
834,
4165,
549,
17444,
427,
215,
3274,
96,
2294,
3747,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Where was the London Marathon held? | CREATE TABLE table_name_19 (
venue VARCHAR,
event VARCHAR,
competition VARCHAR
) | SELECT venue FROM table_name_19 WHERE event = "marathon" AND competition = "london marathon" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
5669,
584,
4280,
28027,
6,
605,
584,
4280,
28027,
6,
2259,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2840,
47,
8,
1524,
19012,
1213,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
5669,
21680,
953,
834,
4350,
834,
2294,
549,
17444,
427,
605,
3274,
96,
1635,
24718,
121,
3430,
2259,
3274,
96,
40,
106,
2029,
17625,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
what is diagnoses long title and procedure long title of subject id 83678? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob 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 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 diagnoses.long_title, procedures.long_title FROM diagnoses INNER JOIN procedures ON diagnoses.hadm_id = procedures.hadm_id WHERE diagnoses.subject_id = "83678" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
18730,
7,
5,
2961,
834,
21869,
6,
4293,
5,
2961,
834,
21869,
21680,
18730,
7,
3388,
18206,
3,
15355,
3162,
4293,
9191,
18730,
7,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,
427,
1... |
how many drugs were prescribed to patient 035-10830 until 2104? | CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime 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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
) | SELECT COUNT(*) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-10830')) AND STRFTIME('%y', medication.drugstarttime) <= '2104' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
50,
9824,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
7690,
4350,
1499,
6,
50,
1999,
7,
83,
17,
381,
6,
50,
1999,
7,
83,
17,
715,
97,
3,
61,
3,
32102,
32103,
32102,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
7757,
549,
17444,
427,
7757,
5,
10061,
15129,
21545,
23,
26,
3388,
41,
23143,
14196,
1868,
5,
10061,
15129,
21545,
23,
26,
21680,
1868,
549,
17444,
427,
1868,
5,
10061,
15878,
3734,
... |
how many bubbles with category being input | CREATE TABLE table_1507852_5 (bubbles VARCHAR, category VARCHAR) | SELECT COUNT(bubbles) FROM table_1507852_5 WHERE category = "Input" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
12278,
3940,
5373,
834,
755,
41,
3007,
7310,
7,
584,
4280,
28027,
6,
3295,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
149,
186,
11144,
7,
28,
3295,
271,
3785,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3007,
7310,
7,
61,
21680,
953,
834,
12278,
3940,
5373,
834,
755,
549,
17444,
427,
3295,
3274,
96,
1570,
2562,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
When 3 is the number what is the highest total? | CREATE TABLE table_24781886_3 (
total INTEGER,
_number VARCHAR
) | SELECT MAX(total) FROM table_24781886_3 WHERE _number = 3 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
3940,
2606,
3840,
834,
519,
41,
792,
3,
21342,
17966,
6,
3,
834,
5525,
1152,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
366,
220,
19,
8,
381,
125,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
235,
1947,
61,
21680,
953,
834,
2266,
3940,
2606,
3840,
834,
519,
549,
17444,
427,
3,
834,
5525,
1152,
3274,
220,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
List the name and count of each product in all orders. | CREATE TABLE orders (order_id VARCHAR); CREATE TABLE products (product_name VARCHAR, product_id VARCHAR); CREATE TABLE order_items (order_id VARCHAR, product_id VARCHAR) | SELECT T3.product_name, COUNT(*) FROM orders AS T1 JOIN order_items AS T2 JOIN products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY T3.product_id | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
5022,
41,
9397,
834,
23,
26,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
494,
41,
15892,
834,
4350,
584,
4280,
28027,
6,
556,
834,
23,
26,
584,
4280,
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,
332,
5787,
15892,
834,
4350,
6,
2847,
17161,
599,
1935,
61,
21680,
5022,
6157,
332,
536,
3,
15355,
3162,
455,
834,
23,
3524,
7,
6157,
332,
357,
3,
15355,
3162,
494,
6157,
332,
519,
9191,
332,
5411,
9397,
834,
23,
... |
What is the date of appointment when the date of vacancy is 24 november 2010? | CREATE TABLE table_29716 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Table" text,
"Incoming manager" text,
"Date of appointment" text
) | SELECT "Date of appointment" FROM table_29716 WHERE "Date of vacancy" = '24 November 2010' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
4327,
2938,
41,
96,
18699,
121,
1499,
6,
96,
15767,
9545,
2743,
121,
1499,
6,
96,
7296,
687,
13,
12028,
121,
1499,
6,
96,
308,
342,
13,
3,
29685,
121,
1499,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
308,
342,
13,
4141,
121,
21680,
953,
834,
357,
4327,
2938,
549,
17444,
427,
96,
308,
342,
13,
3,
29685,
121,
3274,
3,
31,
2266,
1671,
2735,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
calculate the maximum age of medicaid patients who belong to hispanic or latino ethnic background. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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 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
) | SELECT MAX(demographic.age) FROM demographic WHERE demographic.insurance = "Medicaid" AND demographic.ethnicity = "HISPANIC OR LATINO" | [
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,
4800,
4,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
29441,
3274,
96,
15789,
6146,
121,
3430,
14798,
5,
15,
189,
2532,
485,
3274,
96,
7094,
21215,
18830,
4674,
301,
21580,
7400,
121,
1,
-1... |
What is the last season? | CREATE TABLE table_2140071_5 (
season INTEGER
) | SELECT MAX(season) FROM table_2140071_5 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2658,
5548,
4450,
834,
755,
41,
774,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
336,
774,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
9476,
61,
21680,
953,
834,
2658,
5548,
4450,
834,
755,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the diagnosis short title and long title of subject id 17570? | 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 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
) | SELECT diagnoses.short_title, diagnoses.long_title FROM diagnoses WHERE diagnoses.subject_id = "17570" | [
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,
18730,
7,
5,
7,
14184,
834,
21869,
6,
18730,
7,
5,
2961,
834,
21869,
21680,
18730,
7,
549,
17444,
427,
18730,
7,
5,
7304,
11827,
834,
23,
26,
3274,
96,
2517,
28363,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
how much is the cost of protein c? | CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime 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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
) | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'lab' AND cost.eventid IN (SELECT lab.labid FROM lab WHERE lab.labname = 'protein c') | [
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,
3,
15438,
25424,
6227,
583,
5,
11290,
21680,
583,
549,
17444,
427,
583,
5,
15,
2169,
6137,
3274,
3,
31,
9339,
31,
3430,
583,
5,
15,
2169,
23,
26,
3388,
41,
23143,
14196,
7690,
5,
521,
9824,
21680,
7690,
549,
17444... |
Which Venue has a Gross Revenue (2012) of $179,712? | CREATE TABLE table_68533 (
"Venue" text,
"City" text,
"Tickets Sold / Available" text,
"Gross Revenue (1979)" text,
"Gross Revenue (2012)" text
) | SELECT "Venue" FROM table_68533 WHERE "Gross Revenue (2012)" = '$179,712' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3651,
4867,
519,
41,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
254,
485,
121,
1499,
6,
96,
15569,
7,
5175,
26,
3,
87,
8144,
121,
1499,
6,
96,
517,
1859,
7,
19764,
2863,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3651,
4867,
519,
549,
17444,
427,
96,
517,
1859,
7,
19764,
24705,
121,
3274,
3,
31,
3229,
26593,
6,
4450,
357,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the zone of the game played against Estonia? | CREATE TABLE table_name_64 (
zone VARCHAR,
against VARCHAR
) | SELECT zone FROM table_name_64 WHERE against = "estonia" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
2901,
584,
4280,
28027,
6,
581,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2901,
13,
8,
467,
1944,
581,
26047,
58,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2901,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
581,
3274,
96,
222,
8008,
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 score for the player who won $3,600? | CREATE TABLE table_name_40 (
score VARCHAR,
money___$__ VARCHAR
) | SELECT score FROM table_name_40 WHERE money___$__ = "3,600" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2445,
41,
2604,
584,
4280,
28027,
6,
540,
834,
834,
834,
3229,
834,
834,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2604,
21,
8,
1959,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
2445,
549,
17444,
427,
540,
834,
834,
834,
3229,
834,
834,
3274,
96,
6355,
6007,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Get the list of patients who are younger than 45 years that have had blood lab test done. | 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
)
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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "45" AND lab.fluid = "Blood" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7690,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7690,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
Show the membership level with most number of members. | CREATE TABLE branch (
branch_id number,
name text,
open_year text,
address_road text,
city text,
membership_amount text
)
CREATE TABLE purchase (
member_id number,
branch_id text,
year text,
total_pounds number
)
CREATE TABLE membership_register_branch (
member_id number,
branch_id text,
register_year text
)
CREATE TABLE member (
member_id number,
card_number text,
name text,
hometown text,
level number
) | SELECT level FROM member GROUP BY level ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
6421,
41,
6421,
834,
23,
26,
381,
6,
564,
1499,
6,
539,
834,
1201,
1499,
6,
1115,
834,
8635,
1499,
6,
690,
1499,
6,
4757,
834,
9,
11231,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
593,
21680,
1144,
350,
4630,
6880,
272,
476,
593,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what are the event details of the services that have the type code 'Marriage', and count them by a pie chart | CREATE TABLE Services (
Service_ID INTEGER,
Service_Type_Code CHAR(15)
)
CREATE TABLE Participants_in_Events (
Event_ID INTEGER,
Participant_ID INTEGER
)
CREATE TABLE Events (
Event_ID INTEGER,
Service_ID INTEGER,
Event_Details VARCHAR(255)
)
CREATE TABLE Participants (
Participant_ID INTEGER,
Participant_Type_Code CHAR(15),
Participant_Details VARCHAR(255)
) | SELECT Event_Details, COUNT(Event_Details) FROM Events AS T1 JOIN Services AS T2 ON T1.Service_ID = T2.Service_ID WHERE T2.Service_Type_Code = 'Marriage' GROUP BY Event_Details | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1799,
41,
1387,
834,
4309,
3,
21342,
17966,
6,
1387,
834,
25160,
834,
22737,
3,
28027,
599,
1808,
61,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
19204,
834,
77,
834,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
8042,
834,
2962,
5756,
7,
6,
2847,
17161,
599,
427,
2169,
834,
2962,
5756,
7,
61,
21680,
11137,
6157,
332,
536,
3,
15355,
3162,
1799,
6157,
332,
357,
9191,
332,
5411,
15260,
834,
4309,
3274,
332,
4416,
15260,
834,
4... |
What is the lowest round for an offensive guard when the overall is smaller than 150? | CREATE TABLE table_4308 (
"Round" real,
"Overall" real,
"Player" text,
"Position" text,
"College" text
) | SELECT MIN("Round") FROM table_4308 WHERE "Overall" < '150' AND "Position" = 'offensive guard' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4906,
4018,
41,
96,
448,
32,
1106,
121,
490,
6,
96,
23847,
1748,
121,
490,
6,
96,
15800,
49,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
9939,
7883,
121,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
121,
448,
32,
1106,
8512,
21680,
953,
834,
4906,
4018,
549,
17444,
427,
96,
23847,
1748,
121,
3,
2,
3,
31,
12278,
31,
3430,
96,
345,
32,
7,
4749,
121,
3274,
3,
31,
858,
23039,
15,
4879,
31,
1,
-... |
Plot the number of name by grouped by name as a bar graph, could you list Y in ascending order? | CREATE TABLE station (
Station_ID int,
Name text,
Annual_entry_exit real,
Annual_interchanges real,
Total_Passengers real,
Location text,
Main_Services text,
Number_of_Platforms int
)
CREATE TABLE train_station (
Train_ID int,
Station_ID int
)
CREATE TABLE train (
Train_ID int,
Name text,
Time text,
Service text
) | SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY COUNT(Name) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2478,
41,
5939,
834,
4309,
16,
17,
6,
5570,
1499,
6,
7389,
834,
295,
651,
834,
994,
155,
490,
6,
7389,
834,
3870,
13073,
7,
490,
6,
9273,
834,
20192,
4606,
277,
490,
6,
10450,
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,
5570,
6,
2847,
17161,
599,
23954,
61,
21680,
2412,
350,
4630,
6880,
272,
476,
5570,
4674,
11300,
272,
476,
2847,
17161,
599,
23954,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the party for the pennsylvania 25 | CREATE TABLE table_1342013_37 (
party VARCHAR,
district VARCHAR
) | SELECT party FROM table_1342013_37 WHERE district = "Pennsylvania 25" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23747,
11138,
834,
4118,
41,
1088,
584,
4280,
28027,
6,
3939,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
1088,
21,
8,
4550,
29,
7,
63,
40,
16658,
9,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1088,
21680,
953,
834,
23747,
11138,
834,
4118,
549,
17444,
427,
3939,
3274,
96,
345,
35,
29,
7,
63,
40,
16658,
9,
944,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What Score in the final has a Surface of hard, a Championship of washington, d.c. , u.s., and an Opponent in the final of ivan lendl? | CREATE TABLE table_name_44 (
score_in_the_final VARCHAR,
opponent_in_the_final VARCHAR,
surface VARCHAR,
championship VARCHAR
) | SELECT score_in_the_final FROM table_name_44 WHERE surface = "hard" AND championship = "washington, d.c. , u.s." AND opponent_in_the_final = "ivan lendl" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3628,
41,
2604,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
6,
15264,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
6,
1774,
584,
4280,
28027,
6,
10183,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2604,
834,
77,
834,
532,
834,
12406,
21680,
953,
834,
4350,
834,
3628,
549,
17444,
427,
1774,
3274,
96,
5651,
121,
3430,
10183,
3274,
96,
14710,
6029,
6,
3,
26,
5,
75,
5,
3,
6,
3,
76,
5,
7,
535,
3430,
15264,
8... |
what is the constituency when the rank is less than 5 and the result is con hold? | CREATE TABLE table_name_64 (
constituency VARCHAR,
rank VARCHAR,
result VARCHAR
) | SELECT constituency FROM table_name_64 WHERE rank < 5 AND result = "con hold" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
6439,
4392,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
6439,
4392,
116,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
6439,
4392,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
11003,
3,
2,
305,
3430,
741,
3274,
96,
1018,
1520,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which total number of Crowd has a Home team of melbourne? | CREATE TABLE table_name_79 (
crowd VARCHAR,
home_team VARCHAR
) | SELECT COUNT(crowd) FROM table_name_79 WHERE home_team = "melbourne" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4440,
41,
4374,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
792,
381,
13,
15343,
26,
65,
3,
9,
1210,
372,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
75,
3623,
26,
61,
21680,
953,
834,
4350,
834,
4440,
549,
17444,
427,
234,
834,
11650,
3274,
96,
2341,
26255,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
When Kerry is at 36.7%, what is the total number of others? | CREATE TABLE table_14396 (
"County" text,
"Kerry%" text,
"Kerry#" real,
"Bush%" text,
"Bush#" real,
"Others%" text,
"Others#" real
) | SELECT COUNT("Others#") FROM table_14396 WHERE "Kerry%" = '36.7%' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
25133,
4314,
41,
96,
10628,
63,
121,
1499,
6,
96,
439,
49,
651,
1454,
121,
1499,
6,
96,
439,
49,
651,
4663,
121,
490,
6,
96,
279,
8489,
1454,
121,
1499,
6,
96,
279,
848... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
667,
189,
277,
4663,
8512,
21680,
953,
834,
25133,
4314,
549,
17444,
427,
96,
439,
49,
651,
1454,
121,
3274,
3,
31,
3420,
5,
6170,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the lowest version with a code of u+1034a that began after 2001. | CREATE TABLE table_50667 (
"Character" text,
"Code" text,
"Name" text,
"Version" real,
"Year" real
) | SELECT MIN("Version") FROM table_50667 WHERE "Code" = 'u+1034a' AND "Year" > '2001' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1752,
3539,
940,
41,
96,
18947,
2708,
49,
121,
1499,
6,
96,
22737,
121,
1499,
6,
96,
23954,
121,
1499,
6,
96,
5000,
1938,
121,
490,
6,
96,
476,
2741,
121,
490,
3,
61,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
121,
5000,
1938,
8512,
21680,
953,
834,
1752,
3539,
940,
549,
17444,
427,
96,
22737,
121,
3274,
3,
31,
76,
1220,
1714,
3710,
9,
31,
3430,
96,
476,
2741,
121,
2490,
3,
31,
23658,
31,
1,
-100,
-100,
... |
How many wins for bikes with under 54 points, team yamaha, a 250cc bike, and before 1977? | CREATE TABLE table_54611 (
"Year" real,
"Class" text,
"Team" text,
"Points" real,
"Wins" real
) | SELECT COUNT("Wins") FROM table_54611 WHERE "Points" < '54' AND "Team" = 'yamaha' AND "Class" = '250cc' AND "Year" < '1977' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
4448,
2596,
41,
96,
476,
2741,
121,
490,
6,
96,
21486,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
22512,
7,
121,
490,
6,
96,
18455,
7,
121,
490,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
121,
18455,
7,
8512,
21680,
953,
834,
755,
4448,
2596,
549,
17444,
427,
96,
22512,
7,
121,
3,
2,
3,
31,
5062,
31,
3430,
96,
18699,
121,
3274,
3,
31,
22990,
1024,
31,
3430,
96,
21486,
121,
3274,
... |
Tell me the partner for opponents of anamika bhargava sylvia krywacz | CREATE TABLE table_name_15 (
partner VARCHAR,
opponents_in_the_final VARCHAR
) | SELECT partner FROM table_name_15 WHERE opponents_in_the_final = "anamika bhargava sylvia krywacz" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
2397,
584,
4280,
28027,
6,
16383,
834,
77,
834,
532,
834,
12406,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
2397,
21,
16383,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2397,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
16383,
834,
77,
834,
532,
834,
12406,
3274,
96,
152,
265,
5561,
3,
115,
3272,
122,
8644,
3,
7,
63,
40,
5907,
3,
157,
651,
210,
9,
75,
172,
121,
1,
-100,
... |
When did jo o souza play? | CREATE TABLE table_35495 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponen" text,
"Score" text
) | SELECT "Date" FROM table_35495 WHERE "Opponen" = 'joão souza' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2469,
591,
3301,
41,
96,
308,
342,
121,
1499,
6,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
667,
1572,
106,
35,
121,
1499,
6,
96,
134... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2469,
591,
3301,
549,
17444,
427,
96,
667,
1572,
106,
35,
121,
3274,
3,
31,
1927,
2,
32,
78,
14070,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
what is the sum of the b score when the a score is 6.6 and the total is 15.6? | CREATE TABLE table_name_37 (b_score INTEGER, a_score VARCHAR, total VARCHAR) | SELECT SUM(b_score) FROM table_name_37 WHERE a_score = 6.6 AND total = 15.6 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4118,
41,
115,
834,
7,
9022,
3,
21342,
17966,
6,
3,
9,
834,
7,
9022,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
125,
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,
1... | [
3,
23143,
14196,
180,
6122,
599,
115,
834,
7,
9022,
61,
21680,
953,
834,
4350,
834,
4118,
549,
17444,
427,
3,
9,
834,
7,
9022,
3274,
3,
28833,
3430,
792,
3274,
209,
25134,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the average decile of Ruapehu college, which has a state authority? | CREATE TABLE table_name_64 (decile INTEGER, authority VARCHAR, name VARCHAR) | SELECT AVG(decile) FROM table_name_64 WHERE authority = "state" AND name = "ruapehu college" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
24223,
109,
3,
21342,
17966,
6,
5015,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1348,
7908,
109,
13,
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,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
24223,
109,
61,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
5015,
3274,
96,
5540,
121,
3430,
564,
3274,
96,
52,
76,
9,
855,
107,
76,
1900,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
which person set at least 2 world records ? | CREATE TABLE table_203_102 (
id number,
"event" text,
"performance" text,
"athlete" text,
"nation" text,
"place" text,
"date" text
) | SELECT "athlete" FROM table_203_102 GROUP BY "athlete" HAVING COUNT(*) >= 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
14388,
41,
3,
23,
26,
381,
6,
96,
15,
2169,
121,
1499,
6,
96,
18558,
121,
1499,
6,
96,
26170,
15,
121,
1499,
6,
96,
29,
257,
121,
1499,
6,
96,
4687,
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,
26170,
15,
121,
21680,
953,
834,
23330,
834,
14388,
350,
4630,
6880,
272,
476,
96,
26170,
15,
121,
454,
6968,
2365,
2847,
17161,
599,
1935,
61,
2490,
2423,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the relationship between Team_ID and ACC_Percent , and group by attribute All_Road? | CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
) | SELECT Team_ID, ACC_Percent FROM basketball_match GROUP BY All_Road | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8498,
834,
19515,
41,
2271,
834,
4309,
16,
17,
6,
1121,
834,
4309,
16,
17,
6,
2271,
834,
23954,
1499,
6,
3,
14775,
834,
17748,
4885,
834,
134,
15,
9,
739,
1499,
6,
3,
14775,
834,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2271,
834,
4309,
6,
3,
14775,
834,
12988,
3728,
21680,
8498,
834,
19515,
350,
4630,
6880,
272,
476,
432,
834,
448,
32,
9,
26,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
How many silver metals are possessed by countries with 2 gold medals? | CREATE TABLE table_name_97 (
silver VARCHAR,
gold VARCHAR
) | SELECT COUNT(silver) FROM table_name_97 WHERE gold = 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4327,
41,
4294,
584,
4280,
28027,
6,
2045,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
4294,
1946,
7,
33,
3,
27345,
57,
1440,
28,
204,
2045... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7,
173,
624,
61,
21680,
953,
834,
4350,
834,
4327,
549,
17444,
427,
2045,
3274,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the score of Colorado when they were a visitor and had a Smith decision? | CREATE TABLE table_name_32 (
score VARCHAR,
decision VARCHAR,
visitor VARCHAR
) | SELECT score FROM table_name_32 WHERE decision = "smith" AND visitor = "colorado" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2668,
41,
2604,
584,
4280,
28027,
6,
1357,
584,
4280,
28027,
6,
7019,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2604,
13,
6144,
116,
79... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2604,
21680,
953,
834,
4350,
834,
2668,
549,
17444,
427,
1357,
3274,
96,
16331,
121,
3430,
7019,
3274,
96,
8135,
19042,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
WHAT IS THE YEAR'S TALLEST VALUE WITH FLOORS LESS THAN 24, AND 05.0 210 north charles street? | CREATE TABLE table_61420 (
"Name" text,
"Street address" text,
"Years as tallest" text,
"Height ft ( m )" text,
"Floors" real
) | SELECT "Years as tallest" FROM table_61420 WHERE "Floors" < '24' AND "Street address" = '05.0 210 north charles street' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4241,
21899,
41,
96,
23954,
121,
1499,
6,
96,
11500,
15,
15,
17,
1115,
121,
1499,
6,
96,
476,
2741,
7,
38,
5065,
222,
121,
1499,
6,
96,
3845,
2632,
3,
89,
17,
41,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
476,
2741,
7,
38,
5065,
222,
121,
21680,
953,
834,
4241,
21899,
549,
17444,
427,
96,
11251,
127,
7,
121,
3,
2,
3,
31,
2266,
31,
3430,
96,
11500,
15,
15,
17,
1115,
121,
3274,
3,
31,
632,
20734,
3,
15239,
34... |
What manufacturer made class b-2? | CREATE TABLE table_8809 (
"Class" text,
"Wheel arrangement" text,
"Fleet number(s)" text,
"Manufacturer" text,
"Year made" text,
"Quantity made" text,
"Quantity preserved" text
) | SELECT "Manufacturer" FROM table_8809 WHERE "Class" = 'b-2' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4060,
4198,
41,
96,
21486,
121,
1499,
6,
96,
518,
88,
15,
40,
8641,
121,
1499,
6,
96,
371,
109,
15,
17,
381,
599,
7,
61,
121,
1499,
6,
96,
7296,
76,
8717,
450,
49,
12... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
7296,
76,
8717,
450,
49,
121,
21680,
953,
834,
4060,
4198,
549,
17444,
427,
96,
21486,
121,
3274,
3,
31,
115,
4949,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the highest laps of the year when the rank was 14? | CREATE TABLE table_name_73 (
laps INTEGER,
rank VARCHAR
) | SELECT MAX(laps) FROM table_name_73 WHERE rank = "14" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
14941,
7,
3,
21342,
17966,
6,
11003,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
14941,
7,
13,
8,
215,
116,
8,
11003,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
8478,
7,
61,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
11003,
3274,
96,
2534,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
A bar chart shows the distribution of meter_500 and ID , and could you order y axis in descending order please? | CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
) | SELECT meter_500, ID FROM swimmer ORDER BY ID DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
27424,
41,
4699,
16,
17,
6,
564,
1499,
6,
868,
485,
1499,
6,
3,
4401,
834,
2915,
490,
6,
3,
4401,
834,
3632,
1499,
6,
3,
4401,
834,
5426,
1499,
6,
3,
4401,
834,
5548,
1499,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
4401,
834,
2560,
6,
4699,
21680,
27424,
4674,
11300,
272,
476,
4699,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many points has a draw greater than 3 and 3rd place? | CREATE TABLE table_name_24 (
points VARCHAR,
draw VARCHAR,
place VARCHAR
) | SELECT points FROM table_name_24 WHERE draw > 3 AND place = 3 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
979,
584,
4280,
28027,
6,
3314,
584,
4280,
28027,
6,
286,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
979,
65,
3,
9,
3314,
2123,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
979,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
3314,
2490,
220,
3430,
286,
3274,
220,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Format of the Frequency CJBX-FM? | CREATE TABLE table_8647 (
"Frequency" text,
"Call sign" text,
"Branding" text,
"Format" text,
"Owner" text
) | SELECT "Format" FROM table_8647 WHERE "Call sign" = 'cjbx-fm' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3840,
4177,
41,
96,
371,
60,
835,
11298,
121,
1499,
6,
96,
254,
1748,
1320,
121,
1499,
6,
96,
18304,
727,
53,
121,
1499,
6,
96,
3809,
3357,
121,
1499,
6,
96,
667,
210,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
3809,
3357,
121,
21680,
953,
834,
3840,
4177,
549,
17444,
427,
96,
254,
1748,
1320,
121,
3274,
3,
31,
75,
354,
115,
226,
18,
89,
51,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
In the episode where segment a is microphones, what is segment d? | CREATE TABLE table_15187735_11 (segment_d VARCHAR, segment_a VARCHAR) | SELECT segment_d FROM table_15187735_11 WHERE segment_a = "Microphones" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26578,
27697,
2469,
834,
2596,
41,
7,
15,
122,
297,
834,
26,
584,
4280,
28027,
6,
5508,
834,
9,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
86,
8,
5640,
213,
5508,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
5508,
834,
26,
21680,
953,
834,
26578,
27697,
2469,
834,
2596,
549,
17444,
427,
5508,
834,
9,
3274,
96,
329,
23,
2771,
6399,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
provide the number of patients whose ethnicity is asian and drug type is additive? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "ASIAN" AND prescriptions.drug_type = "ADDITIVE" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
18730,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
Show a bar graph, the data is those times of trains that run through stations for the local authority Chiltern, and the Y axis is the total number of different times. | CREATE TABLE weekly_weather (
station_id int,
day_of_week text,
high_temperature int,
low_temperature int,
precipitation real,
wind_speed_mph int
)
CREATE TABLE train (
id int,
train_number int,
name text,
origin text,
destination text,
time text,
interval text
)
CREATE TABLE route (
train_id int,
station_id int
)
CREATE TABLE station (
id int,
network_name text,
services text,
local_authority text
) | SELECT time, COUNT(time) FROM station AS t1 JOIN route AS t2 ON t1.id = t2.station_id JOIN train AS t3 ON t2.train_id = t3.id WHERE t1.local_authority = "Chiltern" GROUP BY time | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
5547,
834,
26809,
41,
2478,
834,
23,
26,
16,
17,
6,
239,
834,
858,
834,
8041,
1499,
6,
306,
834,
21010,
15,
16,
17,
6,
731,
834,
21010,
15,
16,
17,
6,
19742,
257,
490,
6,
2943,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
97,
6,
2847,
17161,
599,
715,
61,
21680,
2478,
6157,
3,
17,
536,
3,
15355,
3162,
2981,
6157,
3,
17,
357,
9191,
3,
17,
5411,
23,
26,
3274,
3,
17,
4416,
6682,
834,
23,
26,
3,
15355,
3162,
2412,
6157,
3,
17,
519,... |
For all employees who have the letters D or S in their first name, give me the trend about commission_pct over hire_date , and I want to rank x axis from low to high order. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
) | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1440,
41,
2847,
17161,
11824,
834,
4309,
3,
4331,
4059,
16426,
6,
2847,
17161,
11824,
834,
567,
17683,
3,
4331,
4059,
599,
2445,
201,
4083,
517,
9215,
834,
4309,
7908,
1982,
599,
1714,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
454,
14132,
834,
308,
6048,
6,
3,
6657,
329,
16994,
9215,
834,
4051,
382,
21680,
1652,
549,
17444,
427,
30085,
834,
567,
17683,
8729,
9914,
3,
31,
1454,
308,
1454,
31,
4674,
30085,
834,
567,
17683,
8729,
9914,
3,
31... |
which patients have seroma complicating a procedure diagnoses? | 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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Seroma complicting proc" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
14798,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
564,
1499,
6,
2774,
1947,
834,
8547,
302,
1499,
6,
1246,
1499,
6,
103,
115,
1499,
6,
7285,
1499,
6,
1612,
14... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
What was the date of game 21? | CREATE TABLE table_21464 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "Date" FROM table_21464 WHERE "Game" = '21' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27357,
4389,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96,
21417,
3,
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,
308,
342,
121,
21680,
953,
834,
27357,
4389,
549,
17444,
427,
96,
23055,
121,
3274,
3,
31,
2658,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the average crowd size when the away team was South Melbourne? | CREATE TABLE table_32691 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT AVG("Crowd") FROM table_32691 WHERE "Away team" = 'south melbourne' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2668,
3951,
536,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
121,
254,
3623,
26,
8512,
21680,
953,
834,
2668,
3951,
536,
549,
17444,
427,
96,
188,
1343,
372,
121,
3274,
3,
31,
7,
670,
107,
3,
2341,
26255,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the Place of the Player with a Score of 69-72-72=213? | CREATE TABLE table_name_63 (place VARCHAR, score VARCHAR) | SELECT place FROM table_name_63 WHERE score = 69 - 72 - 72 = 213 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3891,
41,
4687,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
3399,
13,
8,
12387,
28,
3,
9,
17763,
13,
3,
3951,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
286,
21680,
953,
834,
4350,
834,
3891,
549,
17444,
427,
2604,
3274,
3,
3951,
3,
18,
9455,
3,
18,
9455,
3274,
204,
2368,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who won on the week of August 10? | CREATE TABLE table_48555 (
"Tournament" text,
"Surface" text,
"Week" text,
"Winner and score" text,
"Finalist" text,
"Semifinalists" text
) | SELECT "Winner and score" FROM table_48555 WHERE "Week" = 'august 10' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3707,
28803,
41,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
518,
10266,
121,
1499,
6,
96,
18455,
687,
11,
2604,
121,
1499,
6,
96,
371,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
18455,
687,
11,
2604,
121,
21680,
953,
834,
3707,
28803,
549,
17444,
427,
96,
518,
10266,
121,
3274,
3,
31,
402,
17198,
335,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the rating of the episode with 13.47 million viewers and overall rank larger than 6? | CREATE TABLE table_57929 (
"Episode" text,
"Air Date" text,
"Rating" real,
"Share" real,
"Rating/Share 18\u201349" text,
"Viewers (m)" real,
"Timeslot Rank" real,
"Night Rank" text,
"Overall Rank" real
) | SELECT SUM("Rating") FROM table_57929 WHERE "Viewers (m)" = '13.47' AND "Overall Rank" > '6' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
4440,
3166,
41,
96,
427,
102,
159,
32,
221,
121,
1499,
6,
96,
20162,
7678,
121,
1499,
6,
96,
448,
1014,
121,
490,
6,
96,
24501,
121,
490,
6,
96,
448,
1014,
87,
245... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
121,
448,
1014,
8512,
21680,
953,
834,
755,
4440,
3166,
549,
17444,
427,
96,
15270,
277,
41,
51,
61,
121,
3274,
3,
31,
2368,
5,
4177,
31,
3430,
96,
23847,
1748,
3,
22557,
121,
2490,
3,
31,
948,
3... |
Name the Report with Winning constructor of maserati, and a Name of monza grand prix? | CREATE TABLE table_name_28 (
report VARCHAR,
winning_constructor VARCHAR,
name VARCHAR
) | SELECT report FROM table_name_28 WHERE winning_constructor = "maserati" AND name = "monza grand prix" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
934,
584,
4280,
28027,
6,
3447,
834,
15982,
5317,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
3750,
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,
0... | [
3,
23143,
14196,
934,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
3447,
834,
15982,
5317,
3274,
96,
2754,
15,
6850,
121,
3430,
564,
3274,
96,
2157,
1629,
1907,
3407,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What was the edition after 2003 when the Third was Tikveš and Sileks was the runner-up? | CREATE TABLE table_name_64 (edition INTEGER, runner_up VARCHAR, year VARCHAR, third VARCHAR) | SELECT MIN(edition) FROM table_name_64 WHERE year > 2003 AND third = "tikveš" AND runner_up = "sileks" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
15,
10569,
3,
21342,
17966,
6,
3,
10806,
834,
413,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
1025,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
15,
10569,
61,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
215,
2490,
3888,
3430,
1025,
3274,
96,
4414,
162,
2,
121,
3430,
3,
10806,
834,
413,
3274,
96,
7,
173,
16789,
121,
1,
-100,
-100,
-10... |
Name the number of leaders for % of popular vote being 11.05% | CREATE TABLE table_19283982_4 (leader VARCHAR, _percentage_of_popular_vote VARCHAR) | SELECT COUNT(leader) FROM table_19283982_4 WHERE _percentage_of_popular_vote = "11.05%" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2294,
2577,
3288,
4613,
834,
591,
41,
22900,
584,
4280,
28027,
6,
3,
834,
883,
3728,
545,
834,
858,
834,
27302,
834,
1621,
17,
15,
584,
4280,
28027,
61,
3,
32102,
32103,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
22900,
61,
21680,
953,
834,
2294,
2577,
3288,
4613,
834,
591,
549,
17444,
427,
3,
834,
883,
3728,
545,
834,
858,
834,
27302,
834,
1621,
17,
15,
3274,
96,
10032,
632,
2712,
121,
1,
-100,
-100,
-100,... |
find the name of all departments that do actually have one or more employees assigned to them. | CREATE TABLE departments (
department_name VARCHAR,
department_id VARCHAR
)
CREATE TABLE employees (
department_id VARCHAR
) | SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
10521,
41,
3066,
834,
4350,
584,
4280,
28027,
6,
3066,
834,
23,
26,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
1652,
41,
3066,
834,
23,
26,
584,
42... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
15438,
25424,
6227,
332,
4416,
221,
2274,
297,
834,
4350,
21680,
1652,
6157,
332,
536,
3,
15355,
3162,
10521,
6157,
332,
357,
9191,
332,
5411,
221,
2274,
297,
834,
23,
26,
3274,
332,
4416,
221,
2274,
297,
834,
23... |
What was the date for no. 7? | CREATE TABLE table_247955_2 (
date VARCHAR,
no VARCHAR
) | SELECT date FROM table_247955_2 WHERE no = 7 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
4440,
3769,
834,
357,
41,
833,
584,
4280,
28027,
6,
150,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
833,
21,
150,
5,
489,
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,
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,
2266,
4440,
3769,
834,
357,
549,
17444,
427,
150,
3274,
489,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When the venue was punt road oval, what was the Home teams score? | CREATE TABLE table_10948 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Home team score" FROM table_10948 WHERE "Venue" = 'punt road oval' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17304,
3707,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
35,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
19040,
372,
2604,
121,
21680,
953,
834,
17304,
3707,
549,
17444,
427,
96,
553,
35,
76,
15,
121,
3274,
3,
31,
6225,
17,
1373,
17986,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
how many riders do not have points ? | CREATE TABLE table_204_114 (
id number,
"pos" text,
"rider" text,
"manufacturer" text,
"time/retired" text,
"grid" number,
"points" number
) | SELECT COUNT("rider") FROM table_204_114 WHERE "points" IS NULL | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26363,
834,
18959,
41,
3,
23,
26,
381,
6,
96,
2748,
121,
1499,
6,
96,
4055,
49,
121,
1499,
6,
96,
348,
76,
8717,
450,
49,
121,
1499,
6,
96,
715,
87,
10682,
1271,
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,
2847,
17161,
599,
121,
4055,
49,
8512,
21680,
953,
834,
26363,
834,
18959,
549,
17444,
427,
96,
2700,
7,
121,
6827,
13046,
10376,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
WHAT IS THE DATE WITH AN AWAY TEAM OF BURTON ALBION? | CREATE TABLE table_name_15 (
date VARCHAR,
away_team VARCHAR
) | SELECT date FROM table_name_15 WHERE away_team = "burton albion" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
833,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
21665,
6827,
1853,
309,
6048,
11951,
3,
5033,
71,
1715... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
833,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
550,
834,
11650,
3274,
96,
3007,
17330,
7046,
23,
106,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Who was game number 8 played against? | CREATE TABLE table_19778010_5 (opponent VARCHAR, game VARCHAR) | SELECT opponent FROM table_19778010_5 WHERE game = 8 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2294,
4013,
2079,
1714,
834,
755,
41,
32,
102,
9977,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
47,
467,
381,
505,
1944,
581,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
21680,
953,
834,
2294,
4013,
2079,
1714,
834,
755,
549,
17444,
427,
467,
3274,
505,
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 Motor that has a Focuses bigger than 62, and a Participant of rebaque? | CREATE TABLE table_name_73 (
engine VARCHAR,
points VARCHAR,
entrant VARCHAR
) | SELECT engine FROM table_name_73 WHERE points > 62 AND entrant = "rebaque" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
1948,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
6,
3,
295,
3569,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
5083,
24,
65,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1948,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
979,
2490,
3,
4056,
3430,
3,
295,
3569,
3274,
96,
60,
115,
9,
835,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Where did the Bruins play Iowa State? | CREATE TABLE table_name_58 (
location VARCHAR,
opponent VARCHAR
) | SELECT location FROM table_name_58 WHERE opponent = "iowa state" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
1128,
584,
4280,
28027,
6,
15264,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
2840,
410,
8,
272,
23162,
577,
12034,
1015,
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,
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,
1128,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
15264,
3274,
96,
23,
2381,
9,
538,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Frequency MHz smaller than 95.3, and a Call sign of k234ag is what class? | CREATE TABLE table_name_69 (
class VARCHAR,
frequency_mhz VARCHAR,
call_sign VARCHAR
) | SELECT class FROM table_name_69 WHERE frequency_mhz < 95.3 AND call_sign = "k234ag" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
853,
584,
4280,
28027,
6,
7321,
834,
51,
107,
172,
584,
4280,
28027,
6,
580,
834,
6732,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5532,
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,
1... | [
3,
23143,
14196,
853,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
7321,
834,
51,
107,
172,
3,
2,
668,
26627,
3430,
580,
834,
6732,
3274,
96,
157,
357,
3710,
9,
122,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What was the TV time for Chicago's road game against Phoenix on June 18? | CREATE TABLE table_name_66 (
tv_time VARCHAR,
road_team VARCHAR,
date VARCHAR
) | SELECT tv_time FROM table_name_66 WHERE road_team = "phoenix" AND date = "june 18" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
3,
17,
208,
834,
715,
584,
4280,
28027,
6,
1373,
834,
11650,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17,
208,
834,
715,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
1373,
834,
11650,
3274,
96,
9553,
35,
2407,
121,
3430,
833,
3274,
96,
6959,
15,
507,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was Holly Scouler's total votes | CREATE TABLE table_name_62 (
total_votes VARCHAR,
members VARCHAR
) | SELECT total_votes FROM table_name_62 WHERE members = "holly scouler" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
792,
834,
1621,
1422,
584,
4280,
28027,
6,
724,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
24205,
10711,
83,
49,
31,
7,
792,
1183... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
792,
834,
1621,
1422,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
724,
3274,
96,
2831,
120,
3,
3523,
83,
49,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
baseline hgb < 11.7 g / dl in female , or < 13 g / dl in male ; lymphopenia ( < 1000 lymphocytes / mcl ) or leukopenia ( < 3000 total leukocytes / mcl ) , or an absolute cd4 count < 500 , or platelets < 150000 | CREATE TABLE table_dev_30 (
"id" int,
"gender" string,
"leukopenia" int,
"cd4_count" int,
"stroke" bool,
"platelets" int,
"hematocrit_hct" float,
"fasting_triglycerides" int,
"coronary_stenosis" int,
"hyperlipidemia" bool,
"lymphopenia" int,
"fasting_ldl_cholesterol" int,
"coronary_artery_disease_cad" bool,
"serum_creatinine" float,
"baseline_hemoglobin_hgb" float,
"peripheral_arterial_disease" bool,
"myocardial_infarction" bool,
"NOUSE" float
) | SELECT * FROM table_dev_30 WHERE (baseline_hemoglobin_hgb < 11.7 AND gender = 'female') OR (baseline_hemoglobin_hgb < 13 AND gender = 'male') OR lymphopenia < 1000 OR leukopenia < 3000 OR cd4_count < 500 OR platelets < 150000 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9776,
834,
1458,
41,
96,
23,
26,
121,
16,
17,
6,
96,
122,
3868,
121,
6108,
6,
96,
109,
1598,
8751,
23,
9,
121,
16,
17,
6,
96,
75,
26,
591,
834,
13362,
121,
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,
1429,
21680,
953,
834,
9776,
834,
1458,
549,
17444,
427,
41,
10925,
747,
834,
6015,
32,
14063,
77,
834,
107,
122,
115,
3,
2,
209,
18596,
3430,
7285,
3274,
3,
31,
89,
15,
13513,
31,
61,
4674,
41,
10925,
747,
834,
... |
How many total players came from the school/club team of De La Salle? | CREATE TABLE table_name_62 (number VARCHAR, school_club_team VARCHAR) | SELECT COUNT(number) FROM table_name_62 WHERE school_club_team = "de la salle" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4056,
41,
5525,
1152,
584,
4280,
28027,
6,
496,
834,
13442,
834,
11650,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
792,
1508,
764,
45,
8,
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,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
4056,
549,
17444,
427,
496,
834,
13442,
834,
11650,
3274,
96,
221,
50,
4762,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which Lane has a Country of united states, and a Time smaller than 22.01, and a Reaction Time smaller than 0.193? | CREATE TABLE table_13694 (
"Lane" real,
"Name" text,
"Country" text,
"Reaction Time" real,
"Time" real
) | SELECT MIN("Lane") FROM table_13694 WHERE "Country" = 'united states' AND "Time" < '22.01' AND "Reaction Time" < '0.193' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23459,
4240,
41,
96,
434,
152,
15,
121,
490,
6,
96,
23954,
121,
1499,
6,
96,
10628,
651,
121,
1499,
6,
96,
1649,
4787,
2900,
121,
490,
6,
96,
13368,
121,
490,
3,
61,
3,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
121,
434,
152,
15,
8512,
21680,
953,
834,
23459,
4240,
549,
17444,
427,
96,
10628,
651,
121,
3274,
3,
31,
15129,
15,
26,
2315,
31,
3430,
96,
13368,
121,
3,
2,
3,
31,
2884,
5,
4542,
31,
3430,
96,
... |
How many times were the 2010 candidates Judson hill (r) unopposed? | CREATE TABLE table_28668 (
"District" real,
"Incumbent" text,
"Party" text,
"Elected" text,
"Status" text,
"2010 Candidates" text
) | SELECT COUNT("Elected") FROM table_28668 WHERE "2010 Candidates" = 'Judson Hill (R) unopposed' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3840,
3651,
41,
96,
308,
23,
20066,
121,
490,
6,
96,
1570,
75,
5937,
295,
121,
1499,
6,
96,
13725,
63,
121,
1499,
6,
96,
21543,
15,
26,
121,
1499,
6,
96,
134,
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,
2847,
17161,
599,
121,
21543,
15,
26,
8512,
21680,
953,
834,
357,
3840,
3651,
549,
17444,
427,
96,
14926,
20763,
121,
3274,
3,
31,
683,
76,
26,
739,
3588,
41,
448,
61,
73,
28236,
3843,
31,
1,
-100,
-100,
-100,
-10... |
give me the number of patients whose ethnicity is american indian/alaska native and diagnoses icd9 code is 70704? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
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 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.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND diagnoses.icd9_code = "70704" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
2118,
23,
26,
1499,
6,
5059,
715,
1499,
6,
5692,
1499,
6,
701,
834,
15129,
1499,
6,
3783,
1499,
6,
5798,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
5... |
Which Post Town has a Dialcode of 020 and is located in Hook? | CREATE TABLE table_53503 (
"Location" text,
"Londonborough" text,
"Post town" text,
"Postcodedistrict" text,
"Dialcode" text
) | SELECT "Post town" FROM table_53503 WHERE "Dialcode" = '020' AND "Location" = 'hook' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4867,
1752,
519,
41,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
29712,
12823,
121,
1499,
6,
96,
22507,
1511,
121,
1499,
6,
96,
22507,
4978,
26,
23,
20066,
121,
1499,
6,
96,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
22507,
1511,
121,
21680,
953,
834,
4867,
1752,
519,
549,
17444,
427,
96,
23770,
40,
4978,
121,
3274,
3,
31,
632,
1755,
31,
3430,
96,
434,
32,
75,
257,
121,
3274,
3,
31,
20978,
31,
1,
-100,
-100,
-100,
-100,
... |
What is the fewest amendments sponsored associated with 150 bills originally cosponsored and over 247 bills cosponsored? | CREATE TABLE table_name_52 (all_amendments_sponsored INTEGER, bills_originally_cosponsored VARCHAR, all_bills_cosponsored VARCHAR) | SELECT MIN(all_amendments_sponsored) FROM table_name_52 WHERE bills_originally_cosponsored = 150 AND all_bills_cosponsored > 247 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
1748,
834,
265,
989,
4128,
834,
27959,
3,
21342,
17966,
6,
7200,
834,
21878,
120,
834,
509,
27959,
584,
4280,
28027,
6,
66,
834,
3727,
40,
7,
834,
509,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1748,
834,
265,
989,
4128,
834,
27959,
61,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
7200,
834,
21878,
120,
834,
509,
27959,
3274,
4261,
3430,
66,
834,
3727,
40,
7,
834,
509,
27959,
2490,
204... |
Show each author and the number of workshops they submitted to. Show bar chart. | CREATE TABLE submission (
Submission_ID int,
Scores real,
Author text,
College text
)
CREATE TABLE workshop (
Workshop_ID int,
Date text,
Venue text,
Name text
)
CREATE TABLE Acceptance (
Submission_ID int,
Workshop_ID int,
Result text
) | SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8121,
41,
29779,
834,
4309,
16,
17,
6,
17763,
7,
490,
6,
10236,
1499,
6,
1888,
1499,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
4786,
41,
9644,
834,
4309,
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,
10236,
6,
2847,
17161,
599,
15438,
25424,
6227,
332,
5411,
12492,
6921,
834,
4309,
61,
21680,
20592,
663,
6157,
332,
536,
3,
15355,
3162,
8121,
6157,
332,
357,
9191,
332,
5411,
25252,
5451,
834,
4309,
3274,
332,
4416,
... |
how many patients on government insurance had atrial cardioversion? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Atrial cardioversion" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
4293,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
Who had an evening gown score of 9.78? | CREATE TABLE table_11690135_1 (interview VARCHAR, evening_gown VARCHAR) | SELECT interview FROM table_11690135_1 WHERE evening_gown = "9.78" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20159,
2394,
536,
2469,
834,
536,
41,
3870,
4576,
584,
4280,
28027,
6,
2272,
834,
122,
9197,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
141,
46,
2272,
19879,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
2772,
21680,
953,
834,
20159,
2394,
536,
2469,
834,
536,
549,
17444,
427,
2272,
834,
122,
9197,
3274,
96,
8797,
3940,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
severe burns ( total surface area burned > 30 % ) . | CREATE TABLE table_train_70 (
"id" int,
"pregnancy_or_lactation" bool,
"white_blood_cell_count_wbc" int,
"systolic_blood_pressure_sbp" int,
"mean_arterial_pressure_map" int,
"temperature" float,
"oliguria" bool,
"surgery" bool,
"heart_rate" int,
"systemic_inflammatory_response" bool,
"paco2" float,
"burn_injury" int,
"immature_form" int,
"mental_status" bool,
"respiratory_rate" int,
"age" float,
"NOUSE" float
) | SELECT * FROM table_train_70 WHERE burn_injury > 30 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
9719,
834,
2518,
41,
96,
23,
26,
121,
16,
17,
6,
96,
2026,
11260,
11298,
834,
127,
834,
9700,
6821,
121,
3,
12840,
40,
6,
96,
13698,
834,
27798,
834,
8725,
834,
13362,
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,
1429,
21680,
953,
834,
9719,
834,
2518,
549,
17444,
427,
5958,
834,
77,
10609,
63,
2490,
604,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Host of the Show with a Market of New York? | CREATE TABLE table_name_78 (host_s_ VARCHAR, market VARCHAR) | SELECT host_s_ FROM table_name_78 WHERE market = "new york" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
12675,
834,
7,
834,
584,
4280,
28027,
6,
512,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
1546,
7,
17,
13,
8,
3111,
28,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2290,
834,
7,
834,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
512,
3274,
96,
5534,
25453,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the Old Galician for cantaste in Portuguese? | CREATE TABLE table_26614365_1 (
old_galician__13th_15th_c_ VARCHAR,
portuguese VARCHAR
) | SELECT old_galician__13th_15th_c_ FROM table_26614365_1 WHERE portuguese = "cantaste" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3539,
2534,
10402,
834,
536,
41,
625,
834,
6191,
1294,
152,
834,
834,
2368,
189,
834,
1808,
189,
834,
75,
834,
584,
4280,
28027,
6,
2147,
76,
15991,
15,
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,
625,
834,
6191,
1294,
152,
834,
834,
2368,
189,
834,
1808,
189,
834,
75,
834,
21680,
953,
834,
357,
3539,
2534,
10402,
834,
536,
549,
17444,
427,
2147,
76,
15991,
15,
3274,
96,
1608,
17,
8323,
121,
1,
-100,
-100,
... |
Which women's doubles has Howard Bach Tony Gunawan as Men's doubles and Taufik Hidayat as Men's Singles? | CREATE TABLE table_55651 (
"Year" real,
"Men's singles" text,
"Women's singles" text,
"Men's doubles" text,
"Women's doubles" text,
"Mixed doubles" text
) | SELECT "Women's doubles" FROM table_55651 WHERE "Men's doubles" = 'howard bach tony gunawan' AND "Men's singles" = 'taufik hidayat' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3769,
4122,
536,
41,
96,
476,
2741,
121,
490,
6,
96,
329,
35,
31,
7,
712,
7,
121,
1499,
6,
96,
518,
32,
904,
31,
7,
712,
7,
121,
1499,
6,
96,
329,
35,
31,
7,
1486,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
518,
32,
904,
31,
7,
1486,
7,
121,
21680,
953,
834,
3769,
4122,
536,
549,
17444,
427,
96,
329,
35,
31,
7,
1486,
7,
121,
3274,
3,
31,
4067,
986,
3,
6425,
12,
29,
63,
4740,
9,
3877,
31,
3430,
96,
329,
35,
... |
What tonnage was built in 2007? | CREATE TABLE table_12261 (
"Built" real,
"Ship" text,
"Operator" text,
"Tonnage" text,
"Flag" text
) | SELECT "Tonnage" FROM table_12261 WHERE "Built" = '2007' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20889,
4241,
41,
96,
7793,
173,
17,
121,
490,
6,
96,
134,
10462,
121,
1499,
6,
96,
667,
883,
1016,
121,
1499,
6,
96,
382,
106,
9761,
121,
1499,
6,
96,
371,
5430,
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,
0,
0... | [
3,
23143,
14196,
96,
382,
106,
9761,
121,
21680,
953,
834,
20889,
4241,
549,
17444,
427,
96,
7793,
173,
17,
121,
3274,
3,
31,
20615,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the number of wines with price higher than 100, sorted by year, group by grape and show by bar chart. | CREATE TABLE wine (
No INTEGER,
Grape TEXT,
Winery TEXT,
Appelation TEXT,
State TEXT,
Name TEXT,
Year INTEGER,
Price INTEGER,
Score INTEGER,
Cases INTEGER,
Drink TEXT
)
CREATE TABLE grapes (
ID INTEGER,
Grape TEXT,
Color TEXT
)
CREATE TABLE appellations (
No INTEGER,
Appelation TEXT,
County TEXT,
State TEXT,
Area TEXT,
isAVA TEXT
) | SELECT Year, COUNT(Year) FROM wine WHERE Price > 100 GROUP BY Grape ORDER BY Year | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2013,
41,
465,
3,
21342,
17966,
6,
29083,
3,
3463,
4,
382,
6,
9426,
651,
3,
3463,
4,
382,
6,
3,
27794,
257,
3,
3463,
4,
382,
6,
1015,
3,
3463,
4,
382,
6,
5570,
3,
3463,
4,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2929,
6,
2847,
17161,
599,
476,
2741,
61,
21680,
2013,
549,
17444,
427,
5312,
2490,
910,
350,
4630,
6880,
272,
476,
29083,
4674,
11300,
272,
476,
2929,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the total number of rank where viewers is 9.38? | CREATE TABLE table_20261 (
"#" real,
"Episode" text,
"Rating" text,
"Share" real,
"Rating/Share (18-49)" text,
"Viewers (millions)" text,
"Rank (Timeslot)" text,
"Rank (Night)" text,
"Rank (Week)" text
) | SELECT COUNT("Rank (Timeslot)") FROM table_20261 WHERE "Viewers (millions)" = '9.38' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
19818,
4241,
41,
96,
4663,
121,
490,
6,
96,
427,
102,
159,
32,
221,
121,
1499,
6,
96,
448,
1014,
121,
1499,
6,
96,
24501,
121,
490,
6,
96,
448,
1014,
87,
24501,
9323,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
22557,
41,
13368,
7,
3171,
61,
8512,
21680,
953,
834,
19818,
4241,
549,
17444,
427,
96,
15270,
277,
41,
17030,
7,
61,
121,
3274,
3,
31,
8797,
3747,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Traditional when the Pinyin is h d ng q ? | CREATE TABLE table_47014 (
"English Name" text,
"Simplified" text,
"Traditional" text,
"Pinyin" text,
"Area" text,
"Population" real,
"Density" text
) | SELECT "Traditional" FROM table_47014 WHERE "Pinyin" = 'hédōng qū' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
27760,
2534,
41,
96,
26749,
5570,
121,
1499,
6,
96,
134,
10296,
3676,
121,
1499,
6,
96,
9402,
10569,
138,
121,
1499,
6,
96,
345,
77,
63,
77,
121,
1499,
6,
96,
188,
864,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
9402,
10569,
138,
121,
21680,
953,
834,
27760,
2534,
549,
17444,
427,
96,
345,
77,
63,
77,
121,
3274,
3,
31,
107,
154,
26,
2,
1725,
3,
1824,
2,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
How many subsidiaries of company F M Media Limited? | CREATE TABLE table_1756264_2 (subsidiaries VARCHAR, company_name VARCHAR) | SELECT subsidiaries FROM table_1756264_2 WHERE company_name = "F M MEDIA LIMITED" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
4834,
26755,
834,
357,
41,
7304,
7,
24594,
2593,
584,
4280,
28027,
6,
349,
834,
4350,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
28382,
13,
349,
377... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
28382,
21680,
953,
834,
2517,
4834,
26755,
834,
357,
549,
17444,
427,
349,
834,
4350,
3274,
96,
371,
283,
3,
30296,
31351,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the total number of Matches, when Clubs is 588 406? | CREATE TABLE table_40198 (
"Round" text,
"Date" text,
"Matches" real,
"Clubs" text,
"Prize money" text
) | SELECT COUNT("Matches") FROM table_40198 WHERE "Clubs" = '588 → 406' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2445,
24151,
41,
96,
448,
32,
1106,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
329,
144,
2951,
121,
490,
6,
96,
254,
11158,
7,
121,
1499,
6,
96,
7855,
776,
540,
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,
2847,
17161,
599,
121,
329,
144,
2951,
8512,
21680,
953,
834,
2445,
24151,
549,
17444,
427,
96,
254,
11158,
7,
121,
3274,
3,
31,
755,
4060,
3,
2,
1283,
948,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
how many patients of black /african american ethnicity had elective type of admission ? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.ethnicity = "BLACK/AFRICAN AMERICAN" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7690,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
2118,
23,
26,
1499,
6,
5059,
715,
1499,
6,
5692,
1499,
6,
701,
834,
15129,
1499,
6,
3783,
1499,
6,
5798,
1499... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
9,
26,
5451,
834,
6137,
3274,
96,
3577,
14196,
8087,
121,
3430,
14798,
5,
15,
189,
2532,
485,
32... |
What year was Zona Sur nominated? | CREATE TABLE table_name_69 (year__ceremony_ VARCHAR, original_title VARCHAR) | SELECT year__ceremony_ FROM table_name_69 WHERE original_title = "zona sur" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3951,
41,
1201,
834,
834,
2110,
15,
21208,
834,
584,
4280,
28027,
6,
926,
834,
21869,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
215,
47,
1027,
106,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
215,
834,
834,
2110,
15,
21208,
834,
21680,
953,
834,
4350,
834,
3951,
549,
17444,
427,
926,
834,
21869,
3274,
96,
8892,
9,
244,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the average longitude of stations that never had bike availability more than 10? | CREATE TABLE station (
long INTEGER,
id VARCHAR,
station_id VARCHAR,
bikes_available INTEGER
)
CREATE TABLE status (
long INTEGER,
id VARCHAR,
station_id VARCHAR,
bikes_available INTEGER
) | SELECT AVG(long) FROM station WHERE NOT id IN (SELECT station_id FROM status GROUP BY station_id HAVING MAX(bikes_available) > 10) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2478,
41,
307,
3,
21342,
17966,
6,
3,
23,
26,
584,
4280,
28027,
6,
2478,
834,
23,
26,
584,
4280,
28027,
6,
13490,
834,
28843,
3,
21342,
17966,
3,
61,
3,
32102,
32103,
32102,
205,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
2961,
61,
21680,
2478,
549,
17444,
427,
4486,
3,
23,
26,
3388,
41,
23143,
14196,
2478,
834,
23,
26,
21680,
2637,
350,
4630,
6880,
272,
476,
2478,
834,
23,
26,
454,
6968,
2365,
4800,
4,
599,
15214,
... |
give me the number of patients whose ethnicity is american indian/alaska native and drug name is d12.5w? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND prescriptions.drug = "D12.5W" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
18730,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
How many holes did Mike Reid from United States have? | CREATE TABLE table_name_75 (
hole VARCHAR,
country VARCHAR,
player VARCHAR
) | SELECT hole FROM table_name_75 WHERE country = "united states" AND player = "mike reid" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
6356,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
8034,
410,
4794,
25219,
45,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
6356,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
684,
3274,
96,
15129,
15,
26,
2315,
121,
3430,
1959,
3274,
96,
20068,
15,
3,
60,
23,
26,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the first episode with a netflix episode code of s02e20? | CREATE TABLE table_15187735_4 (
episode INTEGER,
netflix VARCHAR
) | SELECT MIN(episode) FROM table_15187735_4 WHERE netflix = "S02E20" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
26578,
27697,
2469,
834,
591,
41,
5640,
3,
21342,
17966,
6,
3134,
89,
17591,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
166,
5640,
28,
3,
9,
3134,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
17684,
599,
15,
102,
159,
32,
221,
61,
21680,
953,
834,
26578,
27697,
2469,
834,
591,
549,
17444,
427,
3134,
89,
17591,
3274,
96,
134,
4305,
427,
1755,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the Hometown of the person with a height of 5'8'? | CREATE TABLE table_40178 (
"Name" text,
"Pos." text,
"Height" text,
"Weight" real,
"Year" text,
"Hometown (Previous school)" text
) | SELECT "Hometown (Previous school)" FROM table_40178 WHERE "Height" = '5''8' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20016,
3940,
41,
96,
23954,
121,
1499,
6,
96,
345,
32,
7,
535,
1499,
6,
96,
3845,
2632,
121,
1499,
6,
96,
1326,
2632,
121,
490,
6,
96,
476,
2741,
121,
1499,
6,
96,
1904... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
19040,
3540,
41,
10572,
19117,
496,
61,
121,
21680,
953,
834,
20016,
3940,
549,
17444,
427,
96,
3845,
2632,
121,
3274,
3,
31,
755,
31,
31,
927,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the weight of the jockey at Sandown Park? | CREATE TABLE table_24850630_4 (weight VARCHAR, venue VARCHAR) | SELECT weight FROM table_24850630_4 WHERE venue = "Sandown Park" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2266,
17246,
26106,
834,
591,
41,
9378,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
1293,
13,
8,
8624,
4397,
44,
1051,
3035,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1293,
21680,
953,
834,
2266,
17246,
26106,
834,
591,
549,
17444,
427,
5669,
3274,
96,
134,
152,
3035,
1061,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.