NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Find the appelations that produce wines after the year of 2008 but not in Central Coast area. | CREATE TABLE WINE (Appelation VARCHAR, YEAR INTEGER, Area VARCHAR); CREATE TABLE APPELLATIONS (Appelation VARCHAR, YEAR INTEGER, Area VARCHAR) | SELECT Appelation FROM WINE WHERE YEAR > 2008 EXCEPT SELECT Appelation FROM APPELLATIONS WHERE Area = "Central Coast" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
549,
9730,
41,
27794,
257,
584,
4280,
28027,
6,
30431,
3,
21342,
17966,
6,
5690,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
3,
13747,
12735,
8015,
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,
3,
27794,
257,
21680,
549,
9730,
549,
17444,
427,
30431,
2490,
2628,
262,
4,
30416,
3,
23143,
14196,
3,
27794,
257,
21680,
3,
13747,
12735,
8015,
134,
549,
17444,
427,
5690,
3274,
96,
30497,
5458,
121,
1,
-100,
-100,
... |
Can you tell me the Place that has the Score of 70-67-69-69=275? | CREATE TABLE table_name_81 (place VARCHAR, score VARCHAR) | SELECT place FROM table_name_81 WHERE score = 70 - 67 - 69 - 69 = 275 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
4687,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
1072,
25,
817,
140,
8,
3399,
24,
65,
8,
17763,
13,
2861,
18,
3708... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
286,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
2604,
3274,
2861,
3,
18,
3,
3708,
3,
18,
3,
3951,
3,
18,
3,
3951,
3274,
3,
25988,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is every trigram when direction is Northwest? | CREATE TABLE table_23406517_2 (trigram VARCHAR, direction VARCHAR) | SELECT trigram FROM table_23406517_2 WHERE direction = "Northwest" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
2445,
4122,
2517,
834,
357,
41,
1788,
5096,
584,
4280,
28027,
6,
2212,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
334,
6467,
5096,
116,
2212,
19,
181... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
6467,
5096,
21680,
953,
834,
2773,
2445,
4122,
2517,
834,
357,
549,
17444,
427,
2212,
3274,
96,
22969,
12425,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Just show the employee's last name and their employee id using a bar chart, and I want to display by the x axis in desc. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
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)
)
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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
) | SELECT LAST_NAME, EMPLOYEE_ID FROM employees ORDER BY LAST_NAME DESC | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
10521,
41,
3396,
19846,
11810,
834,
4309,
7908,
1982,
599,
8525,
632,
201,
3396,
19846,
11810,
834,
567,
17683,
3,
4331,
4059,
599,
1458,
201,
283,
15610,
17966,
834,
4309,
7908,
1982,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
301,
12510,
834,
567,
17683,
6,
262,
5244,
5017,
476,
5080,
834,
4309,
21680,
1652,
4674,
11300,
272,
476,
301,
12510,
834,
567,
17683,
309,
25067,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What number of patients have drug type main and a lab test named total protein, urine? | 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 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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.drug_type = "MAIN" AND lab.label = "Total Protein, Urine" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
18730,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
338... |
What are the coreceptors of the chromosomes in that location 11q22.2-q22.3? | CREATE TABLE table_29871617_1 (coreceptor VARCHAR, chromosomal_location VARCHAR) | SELECT coreceptor FROM table_29871617_1 WHERE chromosomal_location = "11q22.2-q22.3" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3166,
4225,
2938,
2517,
834,
536,
41,
9022,
6873,
127,
584,
4280,
28027,
6,
3,
10363,
3972,
32,
1982,
834,
14836,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
33... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2583,
6873,
127,
21680,
953,
834,
3166,
4225,
2938,
2517,
834,
536,
549,
17444,
427,
3,
10363,
3972,
32,
1982,
834,
14836,
3274,
96,
2596,
1824,
2884,
5,
7412,
1824,
357,
18561,
121,
1,
-100,
-100,
-100,
-100,
-100,
... |
March of 29 involves what highest scoring game? | CREATE TABLE table_name_40 (game INTEGER, march VARCHAR) | SELECT MAX(game) FROM table_name_40 WHERE march = 29 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2445,
41,
7261,
3,
21342,
17966,
6,
10556,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
1332,
13,
2838,
5806,
125,
2030,
10389,
467,
58,
1,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
7261,
61,
21680,
953,
834,
4350,
834,
2445,
549,
17444,
427,
10556,
3274,
2838,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What player is ranked 2 and played in the seasons of 1982–83, 1983–84, 1984–85? | CREATE TABLE table_name_10 (player VARCHAR, rank VARCHAR, seasons VARCHAR) | SELECT player FROM table_name_10 WHERE rank = 2 AND seasons = "1982–83, 1983–84, 1984–85" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1714,
41,
20846,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
9385,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
1959,
19,
3,
8232,
204,
11,
1944,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1959,
21680,
953,
834,
4350,
834,
1714,
549,
17444,
427,
11003,
3274,
204,
3430,
9385,
3274,
96,
2294,
4613,
104,
4591,
6,
15041,
104,
4608,
6,
13480,
104,
4433,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
when points were 36 and points against 489 what is the lost? | CREATE TABLE table_35358 (
"Club" text,
"Played" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Points" text
) | SELECT "Lost" FROM table_35358 WHERE "Points" = '36' AND "Points against" = '489' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2469,
519,
3449,
41,
96,
254,
11158,
121,
1499,
6,
96,
15800,
15,
26,
121,
1499,
6,
96,
308,
10936,
29,
121,
1499,
6,
96,
434,
3481,
121,
1499,
6,
96,
22512,
7,
21,
121... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
3481,
121,
21680,
953,
834,
2469,
519,
3449,
549,
17444,
427,
96,
22512,
7,
121,
3274,
3,
31,
3420,
31,
3430,
96,
22512,
7,
581,
121,
3274,
3,
31,
591,
3914,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was the average rank for south africa when they had more than 8 silver medals? | CREATE TABLE table_name_64 (rank INTEGER, nation VARCHAR, silver VARCHAR) | SELECT AVG(rank) FROM table_name_64 WHERE nation = "south africa" AND silver > 8 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
6254,
3,
21342,
17966,
6,
2982,
584,
4280,
28027,
6,
4294,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
47,
8,
1348,
11003,
21,
3414,
24040,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
71,
17217,
599,
6254,
61,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
2982,
3274,
96,
7,
670,
107,
24040,
121,
3430,
4294,
2490,
505,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Tell me the nomination for ukraine | CREATE TABLE table_name_17 (
nomination VARCHAR,
country VARCHAR
) | SELECT nomination FROM table_name_17 WHERE country = "ukraine" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2517,
41,
13588,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
8779,
140,
8,
13588,
21,
3,
1598,
6559,
15,
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,
13588,
21680,
953,
834,
4350,
834,
2517,
549,
17444,
427,
684,
3274,
96,
1598,
6559,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
calculate the number of patients who had had a -eos lab test until 2102. | CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE 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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
) | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = '-eos' AND STRFTIME('%y', lab.labresulttime) <= '2102') | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7757,
41,
7757,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2672,
4350,
1499,
6,
17166,
1499,
6,
2981,
20466,
29,
1499,
6,
2672,
10208,
715,
97,
6,
4845,
2916,
715,
97,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
1868,
5,
202,
1495,
12417,
61,
21680,
1868,
549,
17444,
427,
1868,
5,
10061,
15129,
21545,
23,
26,
3388,
41,
23143,
14196,
7690,
5,
10061,
15129,
21545,
23,
26,
21680,
7690,
549,
... |
Who was the visitor when toronto was at home with over 17,019 attending? | CREATE TABLE table_11548 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Attendance" real,
"Record" text
) | SELECT "Visitor" FROM table_11548 WHERE "Attendance" > '17,019' AND "Home" = 'toronto' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
15660,
3707,
41,
96,
308,
342,
121,
1499,
6,
96,
553,
159,
155,
127,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
19040,
121,
1499,
6,
96,
2962,
18901,
121,
1499,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
553,
159,
155,
127,
121,
21680,
953,
834,
15660,
3707,
549,
17444,
427,
96,
188,
17,
324,
26,
663,
121,
2490,
3,
31,
2517,
6,
632,
2294,
31,
3430,
96,
19040,
121,
3274,
3,
31,
235,
4438,
32,
31,
1,
-100,
-... |
Does Green Bay have a golf team? | CREATE TABLE table_44556 (
"School" text,
"Bask" text,
"Golf" text,
"Soccer" text,
"Soft" text,
"Swimming" text,
"Tennis" text,
"Indoor track" text,
"Volleyball" text
) | SELECT "Golf" FROM table_44556 WHERE "School" = 'green bay' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
2128,
4834,
41,
96,
29364,
121,
1499,
6,
96,
14885,
157,
121,
1499,
6,
96,
6221,
40,
89,
121,
1499,
6,
96,
134,
13377,
49,
121,
1499,
6,
96,
28017,
121,
1499,
6,
9... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
6221,
40,
89,
121,
21680,
953,
834,
591,
2128,
4834,
549,
17444,
427,
96,
29364,
121,
3274,
3,
31,
9423,
10210,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What's the series number of the episode that's written by Elizabeth Devine? | CREATE TABLE table_13273629_2 (no_in_series INTEGER, written_by VARCHAR) | SELECT MIN(no_in_series) FROM table_13273629_2 WHERE written_by = "Elizabeth Devine" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2368,
2555,
3420,
3166,
834,
357,
41,
29,
32,
834,
77,
834,
10833,
7,
3,
21342,
17966,
6,
1545,
834,
969,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
31,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
29,
32,
834,
77,
834,
10833,
7,
61,
21680,
953,
834,
2368,
2555,
3420,
3166,
834,
357,
549,
17444,
427,
1545,
834,
969,
3274,
96,
10991,
5584,
346,
189,
374,
8402,
121,
1,
-100,
-100,
-100,
-100,
-1... |
how many years were they in tier 3 | CREATE TABLE table_203_231 (
id number,
"season" text,
"tier" number,
"division" text,
"place" text
) | SELECT COUNT("season") FROM table_203_231 WHERE "tier" = 3 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
357,
3341,
41,
3,
23,
26,
381,
6,
96,
9476,
121,
1499,
6,
96,
3276,
121,
381,
6,
96,
26,
23,
6610,
121,
1499,
6,
96,
4687,
121,
1499,
3,
61,
3,
32102,
321... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
121,
9476,
8512,
21680,
953,
834,
23330,
834,
357,
3341,
549,
17444,
427,
96,
3276,
121,
3274,
220,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Team plays at Western Oval? | CREATE TABLE table_name_90 (
home_team VARCHAR,
venue VARCHAR
) | SELECT home_team FROM table_name_90 WHERE venue = "western oval" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2394,
41,
234,
834,
11650,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
2271,
4805,
44,
3782,
411,
2165,
58,
1,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
234,
834,
11650,
21680,
953,
834,
4350,
834,
2394,
549,
17444,
427,
5669,
3274,
96,
24411,
17986,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Name the fixed telephone line for 25.6% vehicle | CREATE TABLE table_25042332_27 (
fixed_telephone_line VARCHAR,
vehicle VARCHAR
) | SELECT fixed_telephone_line FROM table_25042332_27 WHERE vehicle = "25.6%" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
11434,
591,
2773,
2668,
834,
2555,
41,
3599,
834,
1931,
6399,
834,
747,
584,
4280,
28027,
6,
1689,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
5570,
8,
3599,
6596... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3599,
834,
1931,
6399,
834,
747,
21680,
953,
834,
11434,
591,
2773,
2668,
834,
2555,
549,
17444,
427,
1689,
3274,
96,
1828,
5,
6370,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
If the round is the semi-finals, what are the new entries this round? | CREATE TABLE table_1859269_1 (new_entries_this_round VARCHAR, round VARCHAR) | SELECT new_entries_this_round FROM table_1859269_1 WHERE round = "Semi-finals" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
21594,
4508,
3951,
834,
536,
41,
5534,
834,
35,
9000,
834,
8048,
834,
7775,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
156,
8,
1751,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
126,
834,
35,
9000,
834,
8048,
834,
7775,
21680,
953,
834,
21594,
4508,
3951,
834,
536,
549,
17444,
427,
1751,
3274,
96,
134,
15,
51,
23,
18,
12406,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Show the name for regions not affected. | CREATE TABLE affected_region (
region_name VARCHAR,
region_id VARCHAR
)
CREATE TABLE region (
region_name VARCHAR,
region_id VARCHAR
) | SELECT region_name FROM region WHERE NOT region_id IN (SELECT region_id FROM affected_region) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4161,
834,
18145,
41,
1719,
834,
4350,
584,
4280,
28027,
6,
1719,
834,
23,
26,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
1719,
41,
1719,
834,
4350,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1719,
834,
4350,
21680,
1719,
549,
17444,
427,
4486,
1719,
834,
23,
26,
3388,
41,
23143,
14196,
1719,
834,
23,
26,
21680,
4161,
834,
18145,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What province had a turnout of 54.09%? | CREATE TABLE table_27274222_2 (
province VARCHAR,
turnout___percentage_ VARCHAR
) | SELECT province FROM table_27274222_2 WHERE turnout___percentage_ = "54.09" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
2555,
4165,
2884,
834,
357,
41,
7985,
584,
4280,
28027,
6,
919,
670,
834,
834,
834,
883,
3728,
545,
834,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
7985,
21680,
953,
834,
2555,
2555,
4165,
2884,
834,
357,
549,
17444,
427,
919,
670,
834,
834,
834,
883,
3728,
545,
834,
3274,
96,
5062,
5,
4198,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
provide the number of patients whose diagnoses long title is poisoning by penicillins and lab test abnormal status is delta? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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 INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Poisoning by penicillins" AND lab.flag = "delta" | [
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,
18730,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
18730,
7,
5,
8399,
51,
834,
23,
26,
3... |
provide the number of patients whose admission type is urgent and drug route is ng? | 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 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 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.route = "NG" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4293,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
32103... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
find .the number of patients who are female and were diagnosed with transient ischemic attack? | 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 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 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 WHERE demographic.gender = "F" AND demographic.diagnosis = "TRANSIENT ISCHEMIC ATTACK" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7744,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
23,
1071,
21545,
834,
23,
26,
1499,
6,
2672,
834,
6137,
1499,
6,
2672,
1499,
6,
5403,
651,
834,
26,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
122,
3868,
3274,
96,
371,
121,
3430,
14798,
5,
25930,
4844,
159,
3274,
96,
11359,
7369,
196,
6431,... |
What Valley Vista has a Willow Canyon of 2169? | CREATE TABLE table_57849 (
"Information" text,
"Dysart" text,
"Shadow Ridge" text,
"Valley Vista" text,
"Willow Canyon" text
) | SELECT "Valley Vista" FROM table_57849 WHERE "Willow Canyon" = '2169' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
3940,
3647,
41,
96,
1570,
14678,
121,
1499,
6,
96,
308,
63,
7,
1408,
121,
1499,
6,
96,
10499,
9,
15198,
13068,
121,
1499,
6,
96,
18392,
1306,
16695,
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,
18392,
1306,
16695,
121,
21680,
953,
834,
755,
3940,
3647,
549,
17444,
427,
96,
518,
173,
3216,
16078,
121,
3274,
3,
31,
2658,
3951,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When the position in 2012-12 is 7th, third division what is the home ground? | CREATE TABLE table_14096 (
"Club" text,
"League/Division" text,
"Home Ground" text,
"Location" text,
"Position in 2012-13" text
) | SELECT "Home Ground" FROM table_14096 WHERE "Position in 2012-13" = '7th, third division' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22012,
4314,
41,
96,
254,
11158,
121,
1499,
6,
96,
2796,
9,
5398,
87,
308,
23,
6610,
121,
1499,
6,
96,
19040,
13908,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
9... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
19040,
13908,
121,
21680,
953,
834,
22012,
4314,
549,
17444,
427,
96,
345,
32,
7,
4749,
16,
1673,
13056,
121,
3274,
3,
31,
940,
189,
6,
1025,
4889,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the score on may 11, 1997? | CREATE TABLE table_13953 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent in the final" text,
"Score" text
) | SELECT "Score" FROM table_13953 WHERE "Date" = 'may 11, 1997' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
24090,
4867,
41,
96,
308,
342,
121,
1499,
6,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
134,
450,
4861,
121,
1499,
6,
96,
667,
102,
9977,
16,
8,
804,
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,
134,
9022,
121,
21680,
953,
834,
24090,
4867,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
13726,
9694,
6622,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When was the delegate who has previous experience as a commissioner of health born? | CREATE TABLE table_name_36 (born_in VARCHAR, former_experience VARCHAR) | SELECT born_in FROM table_name_36 WHERE former_experience = "commissioner of health" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
7473,
834,
77,
584,
4280,
28027,
6,
1798,
834,
22602,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
366,
47,
8,
20,
8791,
113,
65,
1767,
351,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2170,
834,
77,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
1798,
834,
22602,
3274,
96,
287,
5451,
49,
13,
533,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who were the comedians on episode 1x03? | CREATE TABLE table_23122988_1 (comedians VARCHAR, episode VARCHAR) | SELECT comedians FROM table_23122988_1 WHERE episode = "1x03" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
2122,
3166,
4060,
834,
536,
41,
287,
15,
8603,
7,
584,
4280,
28027,
6,
5640,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
2645,
130,
8,
27870,
7,
30,
5640,
20... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
27870,
7,
21680,
953,
834,
2773,
2122,
3166,
4060,
834,
536,
549,
17444,
427,
5640,
3274,
96,
536,
226,
4928,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the truck used by Brett Moffitt, from Hattori Racing Enterprises? | CREATE TABLE table_name_23 (
truck_s_ VARCHAR,
driver_s_ VARCHAR,
team VARCHAR
) | SELECT truck_s_ FROM table_name_23 WHERE driver_s_ = "brett moffitt" AND team = "hattori racing enterprises" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2773,
41,
4072,
834,
7,
834,
584,
4280,
28027,
6,
2535,
834,
7,
834,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
4072,
834,
7,
834,
21680,
953,
834,
4350,
834,
2773,
549,
17444,
427,
2535,
834,
7,
834,
3274,
96,
1999,
17,
17,
3,
51,
1647,
155,
17,
121,
3430,
372,
3274,
96,
547,
3600,
8191,
14876,
121,
1,
-100,
-100,
-100,
... |
What is Winning Score, when Date is 17 Jan 2010? | CREATE TABLE table_40226 (
"Date" text,
"Tournament" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
) | SELECT "Winning score" FROM table_40226 WHERE "Date" = '17 jan 2010' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2445,
357,
2688,
41,
96,
308,
342,
121,
1499,
6,
96,
382,
1211,
20205,
17,
121,
1499,
6,
96,
518,
10503,
2604,
121,
1499,
6,
96,
7286,
122,
77,
13,
6224,
121,
1499,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
518,
10503,
2604,
121,
21680,
953,
834,
2445,
357,
2688,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
2517,
3,
7066,
2735,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
How many Laps have a Grid smaller than 5, and a Time/Retired of retirement? | CREATE TABLE table_58775 (
"Rider" text,
"Manufacturer" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
) | SELECT SUM("Laps") FROM table_58775 WHERE "Grid" < '5' AND "Time/Retired" = 'retirement' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
4225,
3072,
41,
96,
448,
23,
588,
121,
1499,
6,
96,
7296,
76,
8717,
450,
49,
121,
1499,
6,
96,
3612,
102,
7,
121,
490,
6,
96,
13368,
87,
1649,
11809,
26,
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,
180,
6122,
599,
121,
3612,
102,
7,
8512,
21680,
953,
834,
755,
4225,
3072,
549,
17444,
427,
96,
13313,
26,
121,
3,
2,
3,
31,
755,
31,
3430,
96,
13368,
87,
1649,
11809,
26,
121,
3274,
3,
31,
10682,
60,
297,
31,
... |
What is the average number of laps that has a Time/Retired of +1 lap, a Driver of olivier panis, and a Grid larger than 4? | CREATE TABLE table_78406 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
) | SELECT AVG("Laps") FROM table_78406 WHERE "Time/Retired" = '+1 lap' AND "Driver" = 'olivier panis' AND "Grid" > '4' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3940,
2445,
948,
41,
96,
20982,
52,
121,
1499,
6,
96,
4302,
7593,
127,
121,
1499,
6,
96,
3612,
102,
7,
121,
490,
6,
96,
13368,
87,
1649,
11809,
26,
121,
1499,
6,
96,
13... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
121,
3612,
102,
7,
8512,
21680,
953,
834,
3940,
2445,
948,
549,
17444,
427,
96,
13368,
87,
1649,
11809,
26,
121,
3274,
3,
31,
18446,
14941,
31,
3430,
96,
20982,
52,
121,
3274,
3,
31,
4172,
5144,
21... |
Who has a nationality of GRE and an App(L/C/E) of 49 (40/8/1)? | CREATE TABLE table_name_98 (name VARCHAR, nat VARCHAR, app_l_c_e_ VARCHAR) | SELECT name FROM table_name_98 WHERE nat = "gre" AND app_l_c_e_ = "49 (40/8/1)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
4350,
584,
4280,
28027,
6,
3,
29,
144,
584,
4280,
28027,
6,
1120,
834,
40,
834,
75,
834,
15,
834,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
3,
29,
144,
3274,
96,
3584,
121,
3430,
1120,
834,
40,
834,
75,
834,
15,
834,
3274,
96,
3647,
41,
2445,
9483,
87,
6982,
121,
1,
-100,
-100,
-100,
-100,
-100,
... |
What is the highest In service for a vessel with a listed Unit of 12th minesweeper squadron? | CREATE TABLE table_name_37 (in_service INTEGER, unit VARCHAR) | SELECT MAX(in_service) FROM table_name_37 WHERE unit = "12th minesweeper squadron" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4118,
41,
77,
834,
5114,
3,
21342,
17966,
6,
1745,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
86,
313,
21,
3,
9,
12662,
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,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
77,
834,
5114,
61,
21680,
953,
834,
4350,
834,
4118,
549,
17444,
427,
1745,
3274,
96,
2122,
189,
2000,
7,
1123,
15,
883,
12025,
52,
106,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What player originally played for the Los Angeles Kings? | CREATE TABLE table_name_26 (
player VARCHAR,
original_team VARCHAR
) | SELECT player FROM table_name_26 WHERE original_team = "los angeles kings" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2688,
41,
1959,
584,
4280,
28027,
6,
926,
834,
11650,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
1959,
5330,
1944,
21,
8,
3144,
4975,
13913,
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,
1959,
21680,
953,
834,
4350,
834,
2688,
549,
17444,
427,
926,
834,
11650,
3274,
96,
2298,
11831,
15,
7,
3,
1765,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
List the locations of schools that do not have any player. | CREATE TABLE player (
player_id number,
player text,
team text,
age number,
position text,
school_id number
)
CREATE TABLE school_performance (
school_id number,
school_year text,
class_a text,
class_aa text
)
CREATE TABLE school_details (
school_id number,
nickname text,
colors text,
league text,
class text,
division text
)
CREATE TABLE school (
school_id number,
school text,
location text,
enrollment number,
founded number,
denomination text,
boys_or_girls text,
day_or_boarding text,
year_entered_competition number,
school_colors text
) | SELECT location FROM school WHERE NOT school_id IN (SELECT school_id FROM player) | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1959,
41,
1959,
834,
23,
26,
381,
6,
1959,
1499,
6,
372,
1499,
6,
1246,
381,
6,
1102,
1499,
6,
496,
834,
23,
26,
381,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1128,
21680,
496,
549,
17444,
427,
4486,
496,
834,
23,
26,
3388,
41,
23143,
14196,
496,
834,
23,
26,
21680,
1959,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the opponent with the outcome of runner-up with a date of 19 september 1994? | CREATE TABLE table_name_25 (
opponent VARCHAR,
outcome VARCHAR,
date VARCHAR
) | SELECT opponent FROM table_name_25 WHERE outcome = "runner-up" AND date = "19 september 1994" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1828,
41,
15264,
584,
4280,
28027,
6,
6138,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
15264,
28,
8,
6138,
13,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
15264,
21680,
953,
834,
4350,
834,
1828,
549,
17444,
427,
6138,
3274,
96,
10806,
18,
413,
121,
3430,
833,
3274,
96,
2294,
16022,
18247,
7520,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is Episodes (TV+extra) 2, when Broadcasts (TV) 1 is less than 13, and when Directors is 'Shigehito Takayanagi'? | CREATE TABLE table_name_26 (
episodes__tv VARCHAR,
extra__2 VARCHAR,
broadcasts__tv__1 VARCHAR,
directors VARCHAR
) | SELECT episodes__tv + extra__2 FROM table_name_26 WHERE broadcasts__tv__1 < 13 AND directors = "shigehito takayanagi" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2688,
41,
13562,
834,
834,
17,
208,
584,
4280,
28027,
6,
996,
834,
834,
357,
584,
4280,
28027,
6,
6878,
7,
834,
834,
17,
208,
834,
834,
536,
584,
4280,
28027,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
13562,
834,
834,
17,
208,
1768,
996,
834,
834,
357,
21680,
953,
834,
4350,
834,
2688,
549,
17444,
427,
6878,
7,
834,
834,
17,
208,
834,
834,
536,
3,
2,
1179,
3430,
10392,
3274,
96,
5605,
397,
10536,
32,
3,
17,
9... |
How many goals against have 58 points? | CREATE TABLE table_79876 (
"Season" text,
"Games" real,
"Lost" real,
"Tied" real,
"Points" real,
"Goals for" real,
"Goals against" real,
"Standing" text
) | SELECT "Goals against" FROM table_79876 WHERE "Points" = '58' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
3916,
3959,
41,
96,
134,
15,
9,
739,
121,
1499,
6,
96,
23055,
7,
121,
490,
6,
96,
434,
3481,
121,
490,
6,
96,
382,
5973,
121,
490,
6,
96,
22512,
7,
121,
490,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
6221,
5405,
581,
121,
21680,
953,
834,
940,
3916,
3959,
549,
17444,
427,
96,
22512,
7,
121,
3274,
3,
31,
3449,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
When did Julie gets Validated originally air? | CREATE TABLE table_name_84 (
original_air_date VARCHAR,
title VARCHAR
) | SELECT original_air_date FROM table_name_84 WHERE title = "julie gets validated" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4608,
41,
926,
834,
2256,
834,
5522,
584,
4280,
28027,
6,
2233,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
366,
410,
12983,
2347,
23545,
920,
5330,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
926,
834,
2256,
834,
5522,
21680,
953,
834,
4350,
834,
4608,
549,
17444,
427,
2233,
3274,
96,
2047,
1896,
2347,
16742,
26,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
retrieve the top three most common diagnostics until 2102? | CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE 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 treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime 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 allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
) | SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE STRFTIME('%y', diagnosis.diagnosistime) <= '2102' GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 3 | [
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,
3,
17,
5411,
25930,
4844,
159,
4350,
21680,
41,
23143,
14196,
8209,
5,
25930,
4844,
159,
4350,
6,
3,
22284,
4132,
834,
16375,
439,
9960,
3,
23288,
41,
2990,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
6... |
When 1472 was the elected when was the assembled? | CREATE TABLE table_1848 (
"No." text,
"Summoned" text,
"Elected" text,
"Assembled" text,
"Dissolved" text,
"1st member" text,
"2nd member" text
) | SELECT "Assembled" FROM table_1848 WHERE "Elected" = '1472' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2606,
3707,
41,
96,
4168,
535,
1499,
6,
96,
134,
440,
2157,
15,
26,
121,
1499,
6,
96,
21543,
15,
26,
121,
1499,
6,
96,
188,
7,
7,
8312,
15,
26,
121,
1499,
6,
96,
308,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7,
7,
8312,
15,
26,
121,
21680,
953,
834,
2606,
3707,
549,
17444,
427,
96,
21543,
15,
26,
121,
3274,
3,
31,
24719,
357,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who wrote the episode that received 1.83 million U.S. viewers? | CREATE TABLE table_13477468_3 (
written_by VARCHAR,
us_viewers__millions_ VARCHAR
) | SELECT written_by FROM table_13477468_3 WHERE us_viewers__millions_ = "1.83" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2368,
4177,
4581,
3651,
834,
519,
41,
1545,
834,
969,
584,
4280,
28027,
6,
178,
834,
4576,
277,
834,
834,
17030,
7,
834,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
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,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1545,
834,
969,
21680,
953,
834,
2368,
4177,
4581,
3651,
834,
519,
549,
17444,
427,
178,
834,
4576,
277,
834,
834,
17030,
7,
834,
3274,
96,
16253,
519,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How many totals does pádraig harrington have? | CREATE TABLE table_name_83 (total VARCHAR, player VARCHAR) | SELECT COUNT(total) FROM table_name_83 WHERE player = "pádraig harrington" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4591,
41,
235,
1947,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
792,
7,
405,
3,
102,
2975,
3515,
23,
122,
4244,
27... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
235,
1947,
61,
21680,
953,
834,
4350,
834,
4591,
549,
17444,
427,
1959,
3274,
96,
102,
2975,
3515,
23,
122,
4244,
27636,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What Decile has State Authority and Raumati South Area? | CREATE TABLE table_71027 (
"Name" text,
"Years" text,
"Gender" text,
"Area" text,
"Authority" text,
"Decile" real,
"Roll" real
) | SELECT "Decile" FROM table_71027 WHERE "Authority" = 'state' AND "Area" = 'raumati south' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
1714,
2555,
41,
96,
23954,
121,
1499,
6,
96,
476,
2741,
7,
121,
1499,
6,
96,
517,
3868,
121,
1499,
6,
96,
188,
864,
121,
1499,
6,
96,
23602,
127,
485,
121,
1499,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
2962,
75,
699,
121,
21680,
953,
834,
940,
1714,
2555,
549,
17444,
427,
96,
23602,
127,
485,
121,
3274,
3,
31,
5540,
31,
3430,
96,
188,
864,
121,
3274,
3,
31,
4565,
17245,
3414,
31,
1,
-100,
-100,
-100,
-100,
... |
What Catalog has a Label of geffen records / universal music special markets? | CREATE TABLE table_59824 (
"Region" text,
"Date" text,
"Label" text,
"Format" text,
"Catalog" text
) | SELECT "Catalog" FROM table_59824 WHERE "Label" = 'geffen records / universal music special markets' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
3916,
2266,
41,
96,
17748,
23,
106,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
434,
10333,
121,
1499,
6,
96,
3809,
3357,
121,
1499,
6,
96,
18610,
9,
2152,
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,
18610,
9,
2152,
121,
21680,
953,
834,
755,
3916,
2266,
549,
17444,
427,
96,
434,
10333,
121,
3274,
3,
31,
397,
13602,
3187,
3,
87,
7687,
723,
534,
3212,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What vfl club(s) did players who played 23 cfl games play for? | CREATE TABLE table_16527640_2 (vfl_club_s_ VARCHAR, vfl_games VARCHAR) | SELECT vfl_club_s_ FROM table_16527640_2 WHERE vfl_games = 23 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
22823,
2555,
23714,
834,
357,
41,
208,
89,
40,
834,
13442,
834,
7,
834,
584,
4280,
28027,
6,
3,
208,
89,
40,
834,
7261,
7,
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,
208,
89,
40,
834,
13442,
834,
7,
834,
21680,
953,
834,
22823,
2555,
23714,
834,
357,
549,
17444,
427,
3,
208,
89,
40,
834,
7261,
7,
3274,
1902,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is Label, when Format is Double CD? | CREATE TABLE table_48241 (
"Region" text,
"Date" text,
"Label" text,
"Format" text,
"Catalog" text
) | SELECT "Label" FROM table_48241 WHERE "Format" = 'double cd' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3707,
2266,
536,
41,
96,
17748,
23,
106,
121,
1499,
6,
96,
308,
342,
121,
1499,
6,
96,
434,
10333,
121,
1499,
6,
96,
3809,
3357,
121,
1499,
6,
96,
18610,
9,
2152,
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... | [
3,
23143,
14196,
96,
434,
10333,
121,
21680,
953,
834,
3707,
2266,
536,
549,
17444,
427,
96,
3809,
3357,
121,
3274,
3,
31,
25761,
3,
75,
26,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Song choice when Elaine Paige was the Original artist? | CREATE TABLE table_name_99 (
song_choice VARCHAR,
original_artist VARCHAR
) | SELECT song_choice FROM table_name_99 WHERE original_artist = "elaine paige" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
2324,
834,
3995,
867,
584,
4280,
28027,
6,
926,
834,
1408,
343,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
11263,
1160,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2324,
834,
3995,
867,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
926,
834,
1408,
343,
3274,
96,
15,
40,
7043,
2576,
3077,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the score of the game on May 26? | CREATE TABLE table_55602 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Series" text
) | SELECT "Score" FROM table_55602 WHERE "Date" = 'may 26' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3769,
3328,
357,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96,
21417,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
134,
9022,
121,
21680,
953,
834,
3769,
3328,
357,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
13726,
2208,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Find the first names and degree of all professors who are teaching some class in Computer Info. Systems department. | CREATE TABLE professor (prof_high_degree VARCHAR, emp_num VARCHAR, dept_code VARCHAR); CREATE TABLE department (dept_code VARCHAR, dept_name VARCHAR); CREATE TABLE employee (emp_fname VARCHAR, emp_num VARCHAR); CREATE TABLE CLASS (prof_num VARCHAR) | SELECT DISTINCT T2.emp_fname, T3.prof_high_degree FROM CLASS AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num JOIN professor AS T3 ON T2.emp_num = T3.emp_num JOIN department AS T4 ON T4.dept_code = T3.dept_code WHERE T4.dept_name = 'Computer Info. Systems' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
5812,
41,
1409,
89,
834,
6739,
834,
19706,
584,
4280,
28027,
6,
8943,
834,
5525,
584,
4280,
28027,
6,
20,
102,
17,
834,
4978,
584,
4280,
28027,
61,
3,
32102,
32103,
32102,
205,
4386,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
15,
1167,
834,
89,
4350,
6,
332,
5787,
1409,
89,
834,
6739,
834,
19706,
21680,
3,
31598,
6157,
332,
536,
3,
15355,
3162,
3490,
6157,
332,
357,
9191,
332,
5411,
1409,
89,
834,
5525,
... |
when air date is october 14, 2010 what are all 18-49 (rating/share date. | CREATE TABLE table_29464 (
"#" real,
"Episode" text,
"Air Date" text,
"Rating" text,
"Share" text,
"18-49 (Rating/Share)" text,
"Viewers (m)" text,
"Weekly Rank (#)" text
) | SELECT "18-49 (Rating/Share)" FROM table_29464 WHERE "Air Date" = 'October 14, 2010' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
4240,
4389,
41,
96,
4663,
121,
490,
6,
96,
427,
102,
159,
32,
221,
121,
1499,
6,
96,
20162,
7678,
121,
1499,
6,
96,
448,
1014,
121,
1499,
6,
96,
24501,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
2606,
18,
3647,
41,
448,
1014,
87,
24501,
61,
121,
21680,
953,
834,
357,
4240,
4389,
549,
17444,
427,
96,
20162,
7678,
121,
3274,
3,
31,
28680,
11363,
2735,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is English Meaning, when Case Suffix (Case) is '-sa (dative)'? | CREATE TABLE table_76303 (
"noun root (meaning)" text,
"case suffix (case)" text,
"postposition" text,
"full word" text,
"English meaning" text
) | SELECT "English meaning" FROM table_76303 WHERE "case suffix (case)" = '-sa (dative)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3959,
23335,
41,
96,
15358,
29,
5465,
41,
27639,
61,
121,
1499,
6,
96,
6701,
10286,
226,
41,
6701,
61,
121,
1499,
6,
96,
5950,
4718,
121,
1499,
6,
96,
1329,
40,
1448,
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,
26749,
2530,
121,
21680,
953,
834,
3959,
23335,
549,
17444,
427,
96,
6701,
10286,
226,
41,
6701,
61,
121,
3274,
3,
31,
18,
7,
9,
41,
26,
1528,
61,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Plot mean meter 100 by grouped by meter 200 as a bar graph, I want to display in desc by the total number. | 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_200, AVG(meter_100) FROM swimmer GROUP BY meter_200 ORDER BY AVG(meter_100) 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,
3632,
6,
71,
17217,
599,
4401,
834,
2915,
61,
21680,
27424,
350,
4630,
6880,
272,
476,
3,
4401,
834,
3632,
4674,
11300,
272,
476,
71,
17217,
599,
4401,
834,
2915,
61,
309,
25067,
1,
-100,
-100,
-100,
... |
calculate the maximum age of patients who were admitted via emergency hospital room and hospitalized for 9 days. | 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 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 MAX(demographic.age) FROM demographic WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.days_stay = "9" | [
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,
9,
26,
5451,
834,
14836,
3274,
96,
427,
13098,
18464,
17063,
3,
30270,
8502,
12604,
121,
3430,
14798,
5,
1135,
7,
834,
21545,
3274,
96,... |
What visitor has detroit red wings as the home, and march 30 as the date? | CREATE TABLE table_name_79 (visitor VARCHAR, home VARCHAR, date VARCHAR) | SELECT visitor FROM table_name_79 WHERE home = "detroit red wings" AND date = "march 30" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4440,
41,
3466,
155,
127,
584,
4280,
28027,
6,
234,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
7019,
65,
3,
26,
15252,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7019,
21680,
953,
834,
4350,
834,
4440,
549,
17444,
427,
234,
3274,
96,
26,
15252,
155,
1131,
13943,
121,
3430,
833,
3274,
96,
51,
7064,
604,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Where was the title released in 1977? | CREATE TABLE table_66590 (
"Title" text,
"Label" text,
"Year of Release" real,
"Country of Release" text,
"Peaches:" text
) | SELECT "Country of Release" FROM table_66590 WHERE "Year of Release" = '1977' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3539,
755,
2394,
41,
96,
382,
155,
109,
121,
1499,
6,
96,
434,
10333,
121,
1499,
6,
96,
476,
2741,
13,
13048,
121,
490,
6,
96,
10628,
651,
13,
13048,
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,
10628,
651,
13,
13048,
121,
21680,
953,
834,
3539,
755,
2394,
549,
17444,
427,
96,
476,
2741,
13,
13048,
121,
3274,
3,
31,
2294,
4013,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How many Laps have a Driver of satrio hermanto? | CREATE TABLE table_name_76 (laps INTEGER, driver VARCHAR) | SELECT SUM(laps) FROM table_name_76 WHERE driver = "satrio hermanto" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
8478,
7,
3,
21342,
17966,
6,
2535,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
325,
102,
7,
43,
3,
9,
10546,
13,
3,
7,
9,
1788,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
180,
6122,
599,
8478,
7,
61,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
2535,
3274,
96,
7,
9,
1788,
32,
160,
348,
235,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
When carmelo anthony (39) has the highest amount of points where is the location and what is the attendance? | CREATE TABLE table_25873 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Series" text
) | SELECT "Location Attendance" FROM table_25873 WHERE "High points" = 'Carmelo Anthony (39)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1828,
4225,
519,
41,
96,
23055,
121,
490,
6,
96,
308,
342,
121,
1499,
6,
96,
18699,
121,
1499,
6,
96,
134,
9022,
121,
1499,
6,
96,
21417,
979,
121,
1499,
6,
96,
21417,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
32,
75,
257,
22497,
663,
121,
21680,
953,
834,
1828,
4225,
519,
549,
17444,
427,
96,
21417,
979,
121,
3274,
3,
31,
6936,
2341,
32,
11016,
6918,
11728,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many subsidiaries of Postermobile Limited? | CREATE TABLE table_1715 (
"COMPANY NAME" text,
"Holding Companies" real,
"Subsidiaries" real,
"Description of activities" text,
"Parent (holding) company" text
) | SELECT "Subsidiaries" FROM table_1715 WHERE "COMPANY NAME" = 'POSTERMOBILE LIMITED' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
1808,
41,
96,
6657,
3965,
12056,
445,
17683,
121,
1499,
6,
96,
566,
1490,
53,
11239,
121,
490,
6,
96,
25252,
7,
24594,
2593,
121,
490,
6,
96,
2962,
11830,
13,
1087,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
25252,
7,
24594,
2593,
121,
21680,
953,
834,
2517,
1808,
549,
17444,
427,
96,
6657,
3965,
12056,
445,
17683,
121,
3274,
3,
31,
16034,
5946,
5365,
279,
20129,
31351,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which college has a defensive end with a round less than 6? | CREATE TABLE table_name_84 (college VARCHAR, round VARCHAR, position VARCHAR) | SELECT college FROM table_name_84 WHERE round > 6 AND position = "defensive end" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4608,
41,
3297,
7883,
584,
4280,
28027,
6,
1751,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
1900,
65,
3,
9,
11976,
414,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
1900,
21680,
953,
834,
4350,
834,
4608,
549,
17444,
427,
1751,
2490,
431,
3430,
1102,
3274,
96,
221,
23039,
15,
414,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is Accolade, when Year is less than 2002, when Publication is 'Rolling Stone', and when Rank is '48'? | CREATE TABLE table_name_76 (
accolade VARCHAR,
rank VARCHAR,
year VARCHAR,
publication VARCHAR
) | SELECT accolade FROM table_name_76 WHERE year < 2002 AND publication = "rolling stone" AND rank = 48 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3959,
41,
30022,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
5707,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
30022,
21680,
953,
834,
4350,
834,
3959,
549,
17444,
427,
215,
3,
2,
4407,
3430,
5707,
3274,
96,
4046,
53,
3372,
121,
3430,
11003,
3274,
4678,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which nationality has a lane of 6 and a rank smaller than 6? | CREATE TABLE table_name_33 (
nationality VARCHAR,
rank VARCHAR,
lane VARCHAR
) | SELECT nationality FROM table_name_33 WHERE rank < 6 AND lane = 6 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
1157,
485,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
3,
8102,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
1157,
485,
65,
3,
9,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1157,
485,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
11003,
3,
2,
431,
3430,
3,
8102,
3274,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which Week has a Date of december 8, 1991? | CREATE TABLE table_name_67 (week INTEGER, date VARCHAR) | SELECT AVG(week) FROM table_name_67 WHERE date = "december 8, 1991" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3708,
41,
8041,
3,
21342,
17966,
6,
833,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
6551,
65,
3,
9,
7678,
13,
20,
75,
18247,
9478,
9957,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
8041,
61,
21680,
953,
834,
4350,
834,
3708,
549,
17444,
427,
833,
3274,
96,
221,
75,
18247,
9478,
9957,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who is the actor in the original production when Troy Stephens is the GamePlan? | CREATE TABLE table_62571 (
"Actor in original production" text,
"Actor required" text,
"GamePlan" text,
"FlatSpin" text,
"RolePlay" text
) | SELECT "Actor in original production" FROM table_62571 WHERE "GamePlan" = 'troy stephens' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4056,
3436,
536,
41,
96,
188,
5317,
16,
926,
999,
121,
1499,
6,
96,
188,
5317,
831,
121,
1499,
6,
96,
23055,
17373,
121,
1499,
6,
96,
371,
40,
144,
134,
3180,
121,
1499,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
188,
5317,
16,
926,
999,
121,
21680,
953,
834,
4056,
3436,
536,
549,
17444,
427,
96,
23055,
17373,
121,
3274,
3,
31,
17,
8170,
1147,
3225,
7,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the lowest total for 1985-1986 when the total points are 124? | CREATE TABLE table_name_33 (
total_points VARCHAR
) | SELECT MIN(1985 AS _1986) FROM table_name_33 WHERE total_points = 124 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
792,
834,
2700,
7,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
7402,
792,
21,
13200,
4481,
3840,
116,
8,
792,
979,
33,
3,
225... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
2294,
4433,
6157,
3,
834,
24151,
10938,
21680,
953,
834,
4350,
834,
4201,
549,
17444,
427,
792,
834,
2700,
7,
3274,
3,
22504,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Where did Essendon play as the away team? | CREATE TABLE table_11815 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Venue" FROM table_11815 WHERE "Away team" = 'essendon' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
20056,
1808,
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,
553,
35,
76,
15,
121,
21680,
953,
834,
20056,
1808,
549,
17444,
427,
96,
188,
1343,
372,
121,
3274,
3,
31,
8185,
2029,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
who had pole position the most times ? | CREATE TABLE table_203_408 (
id number,
"rd." number,
"grand prix" text,
"date" text,
"location" text,
"pole position" text,
"fastest lap" text,
"winning driver" text,
"constructor" text,
"report" text
) | SELECT "pole position" FROM table_203_408 GROUP BY "pole position" ORDER BY COUNT(*) DESC LIMIT 1 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
23330,
834,
2445,
927,
41,
3,
23,
26,
381,
6,
96,
52,
26,
535,
381,
6,
96,
15448,
3407,
121,
1499,
6,
96,
5522,
121,
1499,
6,
96,
14836,
121,
1499,
6,
96,
14332,
1102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
14332,
1102,
121,
21680,
953,
834,
23330,
834,
2445,
927,
350,
4630,
6880,
272,
476,
96,
14332,
1102,
121,
4674,
11300,
272,
476,
2847,
17161,
599,
1935,
61,
309,
25067,
8729,
12604,
209,
1,
-100,
-100,
-100,
-100... |
has patient 022-142620 received any medication until 08/2105? | CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime 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 cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime 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 intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
) | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-142620')) AND STRFTIME('%y-%m', medication.drugstarttime) <= '2105-08' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
7757,
41,
7757,
23,
26,
381,
6,
1868,
15129,
21545,
23,
26,
381,
6,
2672,
4350,
1499,
6,
17166,
1499,
6,
2981,
20466,
29,
1499,
6,
2672,
10208,
715,
97,
6,
4845,
2916,
715,
97,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
2490,
3,
632,
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,... |
How many times was the high points david lee (30) | CREATE TABLE table_23248869_8 (
date VARCHAR,
high_points VARCHAR
) | SELECT COUNT(date) FROM table_23248869_8 WHERE high_points = "David Lee (30)" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
2266,
4060,
3951,
834,
927,
41,
833,
584,
4280,
28027,
6,
306,
834,
2700,
7,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
648,
47,
8,
306,
979,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
5522,
61,
21680,
953,
834,
2773,
2266,
4060,
3951,
834,
927,
549,
17444,
427,
306,
834,
2700,
7,
3274,
96,
308,
9,
6961,
5531,
19684,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the average against score of all teams with less than 7 losses, more than 6 draws, and 25 points? | CREATE TABLE table_name_99 (
against INTEGER,
points VARCHAR,
lost VARCHAR,
drawn VARCHAR
) | SELECT AVG(against) FROM table_name_99 WHERE lost < 7 AND drawn > 6 AND points = 25 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3264,
41,
581,
3,
21342,
17966,
6,
979,
584,
4280,
28027,
6,
1513,
584,
4280,
28027,
6,
6796,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
9,
16720,
7,
17,
61,
21680,
953,
834,
4350,
834,
3264,
549,
17444,
427,
1513,
3,
2,
489,
3430,
6796,
2490,
431,
3430,
979,
3274,
944,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
On what date was the week less than 3 with a result of w 24-13? | CREATE TABLE table_name_60 (date VARCHAR, week VARCHAR, result VARCHAR) | SELECT date FROM table_name_60 WHERE week < 3 AND result = "w 24-13" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3328,
41,
5522,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
461,
125,
833,
47,
8,
471,
705,
145,
220... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
3328,
549,
17444,
427,
471,
3,
2,
220,
3430,
741,
3274,
96,
210,
997,
13056,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What date was game number 22 on? | CREATE TABLE table_27756014_6 (date VARCHAR, game VARCHAR) | SELECT date FROM table_27756014_6 WHERE game = 22 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2555,
3072,
3328,
2534,
834,
948,
41,
5522,
584,
4280,
28027,
6,
467,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
833,
47,
467,
381,
1630,
30,
58,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
2555,
3072,
3328,
2534,
834,
948,
549,
17444,
427,
467,
3274,
1630,
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 country for the score 72-63-71-68=274? | CREATE TABLE table_28498999_3 (
country VARCHAR,
score VARCHAR
) | SELECT country FROM table_28498999_3 WHERE score = 72 - 63 - 71 - 68 = 274 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2577,
3647,
3914,
3264,
834,
519,
41,
684,
584,
4280,
28027,
6,
2604,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
684,
21,
8,
2604,
9455,
18,
3891,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
684,
21680,
953,
834,
2577,
3647,
3914,
3264,
834,
519,
549,
17444,
427,
2604,
3274,
9455,
3,
18,
3,
3891,
3,
18,
3,
4450,
3,
18,
3,
3651,
3274,
204,
4581,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the least age for the 1st dose for 3 doses of 2-3 drops | CREATE TABLE table_name_28 (minimum_age_at_1st_dose VARCHAR, number_of_doses VARCHAR, dose VARCHAR) | SELECT minimum_age_at_1st_dose FROM table_name_28 WHERE number_of_doses = "3 doses" AND dose = "2-3 drops" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2577,
41,
7619,
51,
440,
834,
545,
834,
144,
834,
536,
7,
17,
834,
12051,
584,
4280,
28027,
6,
381,
834,
858,
834,
12051,
7,
584,
4280,
28027,
6,
6742,
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,
2559,
834,
545,
834,
144,
834,
536,
7,
17,
834,
12051,
21680,
953,
834,
4350,
834,
2577,
549,
17444,
427,
381,
834,
858,
834,
12051,
7,
3274,
96,
519,
6742,
7,
121,
3430,
6742,
3274,
96,
357,
3486,
11784,
121,
1,
... |
who is the author when the title is destination: nerva? | CREATE TABLE table_49870 (
"Series Sorted" text,
"Title" text,
"Author" text,
"Featuring" text,
"Released" text
) | SELECT "Author" FROM table_49870 WHERE "Title" = 'destination: nerva' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
591,
3916,
2518,
41,
96,
12106,
7,
18562,
15,
26,
121,
1499,
6,
96,
382,
155,
109,
121,
1499,
6,
96,
23602,
127,
121,
1499,
6,
96,
18772,
121,
1499,
6,
96,
1649,
29107,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
23602,
127,
121,
21680,
953,
834,
591,
3916,
2518,
549,
17444,
427,
96,
382,
155,
109,
121,
3274,
3,
31,
13557,
257,
10,
3,
687,
900,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
which patients have metl25 drug code? | 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
)
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 prescriptions.formulary_drug_cd = "METL25" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
18730,
7,
41,
1426,
834,
23,
26,
1499,
6,
141,
51,
834,
23,
26,
1499,
6,
3,
447,
26,
1298,
834,
4978,
1499,
6,
710,
834,
21869,
1499,
6,
307,
834,
21869,
1499,
3,
61,
3,
32102,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
3388,
18206,
3,
15355,
3162,
7744,
7,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
7744,
7,
5,
8399,
51,
834,
23,
26,
549... |
What's the longitude for philae sulcus in 1997 with a diameter less than 1,575.0? | CREATE TABLE table_50432 (
"Name" text,
"Latitude" text,
"Longitude" text,
"Diameter" real,
"Year named" real
) | SELECT "Longitude" FROM table_50432 WHERE "Diameter" < '1,575.0' AND "Year named" = '1997' AND "Name" = 'philae sulcus' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1752,
591,
2668,
41,
96,
23954,
121,
1499,
6,
96,
3612,
6592,
121,
1499,
6,
96,
434,
2444,
20341,
121,
1499,
6,
96,
23770,
4401,
121,
490,
6,
96,
476,
2741,
2650,
121,
49... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
434,
2444,
20341,
121,
21680,
953,
834,
1752,
591,
2668,
549,
17444,
427,
96,
23770,
4401,
121,
3,
2,
3,
31,
4347,
3436,
20734,
31,
3430,
96,
476,
2741,
2650,
121,
3274,
3,
31,
2294,
4327,
31,
3430,
96,
23954,... |
What home team played against the away team with a score of 13.6 (84)? | CREATE TABLE table_56617 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Home team" FROM table_56617 WHERE "Away team score" = '13.6 (84)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
755,
3539,
2517,
41,
96,
19040,
372,
121,
1499,
6,
96,
19040,
372,
2604,
121,
1499,
6,
96,
188,
1343,
372,
121,
1499,
6,
96,
188,
1343,
372,
2604,
121,
1499,
6,
96,
553,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
19040,
372,
121,
21680,
953,
834,
755,
3539,
2517,
549,
17444,
427,
96,
188,
1343,
372,
2604,
121,
3274,
3,
31,
536,
23074,
13642,
7256,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Which part 3 has class 7b? | CREATE TABLE table_49227 (
"Class" text,
"Part 1" text,
"Part 2" text,
"Part 3" text,
"Part 4" text,
"Verb meaning" text
) | SELECT "Part 3" FROM table_49227 WHERE "Class" = '7b' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3647,
357,
2555,
41,
96,
21486,
121,
1499,
6,
96,
13725,
209,
121,
1499,
6,
96,
13725,
204,
121,
1499,
6,
96,
13725,
220,
121,
1499,
6,
96,
13725,
3,
20364,
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,
13725,
220,
121,
21680,
953,
834,
3647,
357,
2555,
549,
17444,
427,
96,
21486,
121,
3274,
3,
31,
940,
115,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the series number for the episode with production code bdf109? | CREATE TABLE table_28019988_2 (series__number VARCHAR, production_code VARCHAR) | SELECT series__number FROM table_28019988_2 WHERE production_code = "BDF109" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
17518,
19479,
4060,
834,
357,
41,
10833,
7,
834,
834,
5525,
1152,
584,
4280,
28027,
6,
999,
834,
4978,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
939,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
939,
834,
834,
5525,
1152,
21680,
953,
834,
17518,
19479,
4060,
834,
357,
549,
17444,
427,
999,
834,
4978,
3274,
96,
279,
10665,
17304,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
Find the name of the campuses opened before 1800. | CREATE TABLE csu_fees (
campus number,
year number,
campusfee number
)
CREATE TABLE discipline_enrollments (
campus number,
discipline number,
year number,
undergraduate number,
graduate number
)
CREATE TABLE degrees (
year number,
campus number,
degrees number
)
CREATE TABLE campuses (
id number,
campus text,
location text,
county text,
year number
)
CREATE TABLE enrollments (
campus number,
year number,
totalenrollment_ay number,
fte_ay number
)
CREATE TABLE faculty (
campus number,
year number,
faculty number
) | SELECT campus FROM campuses WHERE year < 1800 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3,
75,
7,
76,
834,
89,
15,
15,
7,
41,
4730,
381,
6,
215,
381,
6,
4730,
89,
15,
15,
381,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
7998,
834,
35,
4046,
4128,
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,
4730,
21680,
25784,
549,
17444,
427,
215,
3,
2,
17737,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What entrant has a P tyre and was constructed by Alfa Romeo? | CREATE TABLE table_name_1 (entrant VARCHAR, tyre VARCHAR, constructor VARCHAR) | SELECT entrant FROM table_name_1 WHERE tyre = "p" AND constructor = "alfa romeo" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
295,
3569,
584,
4280,
28027,
6,
3,
17,
63,
60,
584,
4280,
28027,
6,
6774,
127,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
3,
295,
3569,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
295,
3569,
21680,
953,
834,
4350,
834,
536,
549,
17444,
427,
3,
17,
63,
60,
3274,
96,
102,
121,
3430,
6774,
127,
3274,
96,
138,
89,
9,
3,
11956,
32,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
How much does the Independencia weight? | CREATE TABLE table_23614702_1 (tons___lton__ INTEGER, warship VARCHAR) | SELECT MIN(tons___lton__) FROM table_23614702_1 WHERE warship = "Independencia" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3420,
24719,
4305,
834,
536,
41,
8057,
834,
834,
834,
7377,
834,
834,
3,
21342,
17966,
6,
615,
2009,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
231,
405,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
8057,
834,
834,
834,
7377,
834,
834,
61,
21680,
953,
834,
357,
3420,
24719,
4305,
834,
536,
549,
17444,
427,
615,
2009,
3274,
96,
1570,
18790,
35,
4915,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Name the points against when tries against is 51 and points is 52 with played of 22 | CREATE TABLE table_name_91 (
points_against VARCHAR,
tries_against VARCHAR,
played VARCHAR,
points VARCHAR
) | SELECT points_against FROM table_name_91 WHERE played = "22" AND points = "52" AND tries_against = "51" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4729,
41,
979,
834,
9,
16720,
7,
17,
584,
4280,
28027,
6,
3,
9000,
834,
9,
16720,
7,
17,
584,
4280,
28027,
6,
1944,
584,
4280,
28027,
6,
979,
584,
4280,
28027,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
979,
834,
9,
16720,
7,
17,
21680,
953,
834,
4350,
834,
4729,
549,
17444,
427,
1944,
3274,
96,
2884,
121,
3430,
979,
3274,
96,
5373,
121,
3430,
3,
9000,
834,
9,
16720,
7,
17,
3274,
96,
5553,
121,
1,
-100,
-100,
-... |
What is the church name located in H yanger? | CREATE TABLE table_178389_1 (
church_name VARCHAR,
location_of_the_church VARCHAR
) | SELECT church_name FROM table_178389_1 WHERE location_of_the_church = "Høyanger" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2517,
4591,
3914,
834,
536,
41,
2078,
834,
4350,
584,
4280,
28027,
6,
1128,
834,
858,
834,
532,
834,
28854,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2078,
834,
4350,
21680,
953,
834,
2517,
4591,
3914,
834,
536,
549,
17444,
427,
1128,
834,
858,
834,
532,
834,
28854,
3274,
96,
566,
2,
63,
9,
9369,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which Date has a Record of 7-9? | CREATE TABLE table_name_48 (date VARCHAR, record VARCHAR) | SELECT date FROM table_name_48 WHERE record = "7-9" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3707,
41,
5522,
584,
4280,
28027,
6,
1368,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
7678,
65,
3,
9,
11392,
13,
3,
29568,
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,
833,
21680,
953,
834,
4350,
834,
3707,
549,
17444,
427,
1368,
3274,
96,
29568,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which player had a total of 116 (22)? | CREATE TABLE table_15235 (
"Name" text,
"Years" text,
"A-League" text,
"Finals" text,
"Total" text
) | SELECT "Name" FROM table_15235 WHERE "Total" = '116 (22)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
1808,
25174,
41,
96,
23954,
121,
1499,
6,
96,
476,
2741,
7,
121,
1499,
6,
96,
188,
18,
2796,
9,
5398,
121,
1499,
6,
96,
371,
10270,
7,
121,
1499,
6,
96,
3696,
1947,
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,
23954,
121,
21680,
953,
834,
1808,
25174,
549,
17444,
427,
96,
3696,
1947,
121,
3274,
3,
31,
20159,
4743,
7318,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which province has a density of 971.4? | CREATE TABLE table_1067441_1 (province VARCHAR, density VARCHAR) | SELECT province FROM table_1067441_1 WHERE density = "971.4" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
16431,
4581,
4853,
834,
536,
41,
1409,
2494,
565,
584,
4280,
28027,
6,
11048,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
4073,
7985,
65,
3,
9,
11048,
13,
3,
4327,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
7985,
21680,
953,
834,
16431,
4581,
4853,
834,
536,
549,
17444,
427,
11048,
3274,
96,
4327,
14912,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which conference joined in 1954 with a beavers mascot? | CREATE TABLE table_66107 (
"School (IHSAA ID#)" text,
"Location" text,
"Mascot" text,
"# / County" text,
"Year Joined" real,
"Year Left" real,
"Conference Joined" text
) | SELECT "Conference Joined" FROM table_66107 WHERE "Year Joined" = '1954' AND "Mascot" = 'beavers' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3539,
18057,
41,
96,
29364,
41,
196,
4950,
5498,
4699,
4663,
61,
121,
1499,
6,
96,
434,
32,
75,
257,
121,
1499,
6,
96,
329,
9,
7,
4310,
121,
1499,
6,
96,
4663,
3,
87,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
96,
4302,
11788,
5279,
15,
26,
121,
21680,
953,
834,
3539,
18057,
549,
17444,
427,
96,
476,
2741,
5279,
15,
26,
121,
3274,
3,
31,
2294,
5062,
31,
3430,
96,
329,
9,
7,
4310,
121,
3274,
3,
31,
346,
9,
2660,
31,
... |
what is the capacity when the acceleration 1-100km/h is 11.1 s? | CREATE TABLE table_name_39 (
capacity VARCHAR,
acceleration_0_100km_h VARCHAR
) | SELECT capacity FROM table_name_39 WHERE acceleration_0_100km_h = "11.1 s" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3288,
41,
2614,
584,
4280,
28027,
6,
23224,
834,
632,
834,
2915,
5848,
834,
107,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
125,
19,
8,
2614,
116,
8... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2614,
21680,
953,
834,
4350,
834,
3288,
549,
17444,
427,
23224,
834,
632,
834,
2915,
5848,
834,
107,
3274,
96,
10032,
536,
3,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What's the year of the event that took place most recently in Antwerp, Belgium with team competition notes? | CREATE TABLE table_71996 (
"Year" real,
"Competition" text,
"Venue" text,
"Position" text,
"Notes" text
) | SELECT MAX("Year") FROM table_71996 WHERE "Notes" = 'team competition' AND "Venue" = 'antwerp, belgium' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
940,
2294,
4314,
41,
96,
476,
2741,
121,
490,
6,
96,
5890,
4995,
4749,
121,
1499,
6,
96,
553,
35,
76,
15,
121,
1499,
6,
96,
345,
32,
7,
4749,
121,
1499,
6,
96,
10358,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
121,
476,
2741,
8512,
21680,
953,
834,
940,
2294,
4314,
549,
17444,
427,
96,
10358,
15,
7,
121,
3274,
3,
31,
11650,
2259,
31,
3430,
96,
553,
35,
76,
15,
121,
3274,
3,
31,
288,
3321,
102,
6,
36,
4... |
who is the home team when the home team score is 18.17 (125)? | CREATE TABLE table_57256 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Home team" FROM table_57256 WHERE "Home team score" = '18.17 (125)' | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
3436,
19337,
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,
121,
21680,
953,
834,
3436,
19337,
549,
17444,
427,
96,
19040,
372,
2604,
121,
3274,
3,
31,
2606,
5,
2517,
16465,
9120,
31,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many patients have guillain barre syndrome as their primary disease and have procedure icd9 code 5781? | 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
)
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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "GUILLAIN BARRE SYNDROME" AND procedures.icd9_code = "5781" | [
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,
4293,
9191,
14798,
5,
8399,
51,
834,
23,
26,
3274,
4293,
5,
8399,
51,
834,
23,
26,
549,
17444,... |
How many episodes aired on October 17, 2007? | CREATE TABLE table_24910733_2 (episode VARCHAR, air_date VARCHAR) | SELECT COUNT(episode) FROM table_24910733_2 WHERE air_date = "October 17, 2007" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
357,
3647,
18057,
4201,
834,
357,
41,
15,
102,
159,
32,
221,
584,
4280,
28027,
6,
799,
834,
5522,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
571,
186,
13562,
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,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
15,
102,
159,
32,
221,
61,
21680,
953,
834,
357,
3647,
18057,
4201,
834,
357,
549,
17444,
427,
799,
834,
5522,
3274,
96,
28680,
12864,
4101,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the highest value for Points, when Games is 21, and when Rank is greater than 2? | CREATE TABLE table_name_52 (points INTEGER, games VARCHAR, rank VARCHAR) | SELECT MAX(points) FROM table_name_52 WHERE games = 21 AND rank > 2 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
2700,
7,
3,
21342,
17966,
6,
1031,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
19,
8,
2030,
701,
21,
4564,
7,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
2700,
7,
61,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
1031,
3274,
1401,
3430,
11003,
2490,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
How many games are held after season 2007? | CREATE TABLE injury_accident (
game_id number,
id number,
player text,
injury text,
number_of_matches text,
source text
)
CREATE TABLE stadium (
id number,
name text,
home_games number,
average_attendance number,
total_attendance number,
capacity_percentage number
)
CREATE TABLE game (
stadium_id number,
id number,
season number,
date text,
home_team text,
away_team text,
score text,
competition text
) | SELECT COUNT(*) FROM game WHERE season > 2007 | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
2871,
834,
6004,
4215,
41,
467,
834,
23,
26,
381,
6,
3,
23,
26,
381,
6,
1959,
1499,
6,
2871,
1499,
6,
381,
834,
858,
834,
19515,
15,
7,
1499,
6,
1391,
1499,
3,
61,
3,
32102,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
21680,
467,
549,
17444,
427,
774,
2490,
4101,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
How many times was the result was re-elected and the party was anti-masonic in the district Pennsylvania 24? | CREATE TABLE table_2668199_2 (first_elected VARCHAR, district VARCHAR, result VARCHAR, party VARCHAR) | SELECT COUNT(first_elected) FROM table_2668199_2 WHERE result = "Re-elected" AND party = "Anti-Masonic" AND district = "Pennsylvania 24" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2688,
3651,
19479,
834,
357,
41,
14672,
834,
19971,
584,
4280,
28027,
6,
3939,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
6,
1088,
584,
4280,
28027,
61,
3,
32102,
32103,
321... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
14672,
834,
19971,
61,
21680,
953,
834,
2688,
3651,
19479,
834,
357,
549,
17444,
427,
741,
3274,
96,
1649,
18,
19971,
121,
3430,
1088,
3274,
96,
27355,
18,
329,
9,
7,
4554,
121,
3430,
3939,
3274,
9... |
What number episode had a rating of 4.7? | CREATE TABLE table_23730973_5 (no INTEGER, rating VARCHAR) | SELECT MIN(no) FROM table_23730973_5 WHERE rating = "4.7" | [
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
2773,
4552,
4198,
4552,
834,
755,
41,
29,
32,
3,
21342,
17966,
6,
5773,
584,
4280,
28027,
61,
3,
32102,
32103,
32101,
32103,
363,
381,
5640,
141,
3,
9,
5773,
13,
3,
25211,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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,
3,
17684,
599,
29,
32,
61,
21680,
953,
834,
2773,
4552,
4198,
4552,
834,
755,
549,
17444,
427,
5773,
3274,
96,
25211,
121,
1,
-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.