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CREATE TABLE table_10195 (
"Goal" real,
"Date" text,
"Venue" text,
"Result" text,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What day is miami the venue with 38 goals?
| SELECT "Date" FROM table_10195 WHERE "Venue" = 'miami' AND "Goal" = '38' | wikisql |
CREATE TABLE table_name_79 (
province VARCHAR,
party VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Ken Wright of the National Party was from which province?
| SELECT province FROM table_name_79 WHERE party = "national" AND name = "ken wright" | sql_create_context |
CREATE TABLE table_62372 (
"1999/ 00" text,
"2000/ 01" text,
"2001/ 02" text,
"2002/ 03" text,
"2003/ 04" text,
"2004/ 05" text,
"2005/ 06" text,
"2006/ 07" text,
"2007/ 08" text,
"2008/ 09" text,
"2009/ 10" text,
"2010/ 11" text,
"2011/ 12" text,
"2012/ 13" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which 2008/ 09 has a 1999/ 00 of non-ranking tournaments?
| SELECT "2008/ 09" FROM table_62372 WHERE "1999/ 00" = 'non-ranking tournaments' | wikisql |
CREATE TABLE table_12120 (
"Team 1" text,
"Agg." text,
"Team 2" text,
"1st leg" text,
"2nd leg" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score for the 2nd leg when Belasica is team 2?
| SELECT "2nd leg" FROM table_12120 WHERE "Team 2" = 'belasica' | wikisql |
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 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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients whose ethnicity is white and drug route is ou?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE" AND prescriptions.route = "OU" | mimicsql_data |
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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients whose ethnicity is american indian/alaska native and diagnoses icd9 code is v4581?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND diagnoses.icd9_code = "V4581" | mimicsql_data |
CREATE TABLE table_1308 (
"Series #" real,
"Season #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"U.S. viewers (millions)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the title when there were 14.39 million viewers?
| SELECT "Title" FROM table_1308 WHERE "U.S. viewers (millions)" = '14.39' | wikisql |
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 treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- show me the top five most common diagnoses for patients with 30s?
| SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 30 AND 39) GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 5 | eicu |
CREATE TABLE flight (
flno number,
origin text,
destination text,
distance number,
departure_date time,
arrival_date time,
price number,
aid number
)
CREATE TABLE employee (
eid number,
name text,
salary number
)
CREATE TABLE aircraft (
aid number,
name text,
distance number
)
CREATE TABLE certificate (
eid number,
aid number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name and salary of the employee with the id 242518965?
| SELECT name, salary FROM employee WHERE eid = 242518965 | spider |
CREATE TABLE table_27383390_4 (
team VARCHAR,
date_of_vacancy VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the team with the date of vacancy 8 dec 2010?
| SELECT team FROM table_27383390_4 WHERE date_of_vacancy = "8 Dec 2010" | sql_create_context |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose procedure long title is automatic implantable cardioverter/defibrillator (aicd) check?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "Automatic implantable cardioverter/defibrillator (AICD) check" | mimicsql_data |
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- when was the first time patient 1014 got a lab test for platelet count since 19 months ago?
| SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'platelet count') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1014) AND DATETIME(labevents.charttime) >= DATETIME(CURRENT_TIME(), '-19 month') ORDER BY labevents.charttime LIMIT 1 | mimic_iii |
CREATE TABLE table_name_6 (
game INTEGER,
high_rebounds VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of Game(s), when High Rebounds is 'Pierson (6)'?
| SELECT SUM(game) FROM table_name_6 WHERE high_rebounds = "pierson (6)" | sql_create_context |
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 计算一下医院2261260全部就诊记录中患者平均年纪，按科室与患者出院诊断病名的区别看看其中平均年纪比9岁大的记录
| SELECT t_kc21.MED_ORG_DEPT_NM, t_kc21.OUT_DIAG_DIS_NM, AVG(t_kc21.PERSON_AGE) FROM t_kc21 WHERE t_kc21.MED_SER_ORG_NO = '2261260' GROUP BY t_kc21.MED_ORG_DEPT_NM, t_kc21.OUT_DIAG_DIS_NM HAVING AVG(t_kc21.PERSON_AGE) > 9 | css |
CREATE TABLE table_37649 (
"Commune" text,
"Area (km 2 )" real,
"2002 population" real,
"Density (km 2 )" real,
"Government website" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the density that has an area smaller than 2,200.2 and a population larger than 2,599?
| SELECT COUNT("Density (km 2 )") FROM table_37649 WHERE "Area (km 2 )" < '2,200.2' AND "2002 population" > '2,599' | wikisql |
CREATE TABLE table_name_40 (
Box VARCHAR,
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the box score for the game where the away team was the sydney spirit?
| SELECT Box AS score FROM table_name_40 WHERE away_team = "sydney spirit" | sql_create_context |
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
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 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 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- in 2105 how many patients with diabetes mellitus were diagnosed during the same month after previously being diagnosed with acute respiratory distress?
| SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'diabetes mellitus' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute respiratory distress' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105') AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.diagnosistime, 'start of month') | eicu |
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 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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients who were born before 2182?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.dob_year < "2182" | mimicsql_data |
CREATE TABLE table_56818 (
"Entrant" text,
"Constructor" text,
"Chassis" text,
"Engine \u2020" text,
"Tyre" text,
"Driver" text,
"Rounds" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What engine did David Coulthard have in his mp4-13 chassis?
| SELECT "Engine \u2020" FROM table_56818 WHERE "Chassis" = 'mp4-13' AND "Driver" = 'david coulthard' | wikisql |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients whose days of hospital stay is greater than 4 and procedure short title is other phototherapy?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "4" AND procedures.short_title = "Other phototherapy" | mimicsql_data |
CREATE TABLE table_name_45 (
identifier VARCHAR,
power VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the identifier that has 50,000 watts of power?
| SELECT identifier FROM table_name_45 WHERE power = "50,000 watts" | sql_create_context |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients whose insurance is medicaid and diagnoses long title is observation for suspected genetic or metabolic condition?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicaid" AND diagnoses.long_title = "Observation for suspected genetic or metabolic condition" | mimicsql_data |
CREATE TABLE table_64220 (
"Event" text,
"Date" text,
"Location" text,
"Winning skip" text,
"Runner-up skip" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What event did Patti Lank have the winning skip?
| SELECT "Event" FROM table_64220 WHERE "Winning skip" = 'patti lank' | wikisql |
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose ethnicity is black/cape verdean and age is less than 30?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.age < "30" | mimicsql_data |
CREATE TABLE table_name_62 (
transfer_fee VARCHAR,
type VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT TRANSFER FEE HAS A TYPE OF TRANSFER FOR DOS SANTOS?
| SELECT transfer_fee FROM table_name_62 WHERE type = "transfer" AND name = "dos santos" | sql_create_context |
CREATE TABLE table_35591 (
"Year" text,
"Winners" text,
"Score" text,
"Runner-up" text,
"Venue" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the venue of the match with a score of 33-22?
| SELECT "Venue" FROM table_35591 WHERE "Score" = '33-22' | wikisql |
CREATE TABLE table_name_7 (
team VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which team did they play on March 11?
| SELECT team FROM table_name_7 WHERE date = "march 11" | sql_create_context |
CREATE TABLE table_38195 (
"Rank" real,
"Name" text,
"Height m (ft)" text,
"Floors" real,
"Year" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest floors with rank greater than 1 in Conrad Dubai?
| SELECT MAX("Floors") FROM table_38195 WHERE "Rank" > '1' AND "Name" = 'conrad dubai' | wikisql |
CREATE TABLE table_62528 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Place of the Player with a To par of 6?
| SELECT "Place" FROM table_62528 WHERE "To par" = '–6' | wikisql |
CREATE TABLE table_name_87 (
d_48_√ VARCHAR,
d_46_√ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the D 48 with a D 46 with r 33 o?
| SELECT d_48_√ FROM table_name_87 WHERE d_46_√ = "r 33 o" | sql_create_context |
CREATE TABLE fgwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE gwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 参保人65322845在二00五年十二月三十日到二0一0年十月二十五日内，在门诊产生了多少西药费
| SELECT SUM(t_kc22.AMOUNT) FROM gwyjzb JOIN t_kc22 ON gwyjzb.MED_CLINIC_ID = t_kc22.MED_CLINIC_ID WHERE gwyjzb.PERSON_ID = '65322845' AND gwyjzb.CLINIC_TYPE = '门诊' AND t_kc22.STA_DATE BETWEEN '2005-12-30' AND '2010-10-25' AND t_kc22.MED_INV_ITEM_TYPE = '西药费' UNION SELECT SUM(t_kc22.AMOUNT) FROM fgwyjzb JOIN t_kc22 ON fgwyjzb.MED_CLINIC_ID = t_kc22.MED_CLINIC_ID WHERE fgwyjzb.PERSON_ID = '65322845' AND fgwyjzb.CLINIC_TYPE = '门诊' AND t_kc22.STA_DATE BETWEEN '2005-12-30' AND '2010-10-25' AND t_kc22.MED_INV_ITEM_TYPE = '西药费' | css |
CREATE TABLE Apartment_Facilities (
apt_id INTEGER,
facility_code CHAR(15)
)
CREATE TABLE Apartments (
apt_id INTEGER,
building_id INTEGER,
apt_type_code CHAR(15),
apt_number CHAR(10),
bathroom_count INTEGER,
bedroom_count INTEGER,
room_count CHAR(5)
)
CREATE TABLE Guests (
guest_id INTEGER,
gender_code CHAR(1),
guest_first_name VARCHAR(80),
guest_last_name VARCHAR(80),
date_of_birth DATETIME
)
CREATE TABLE Apartment_Buildings (
building_id INTEGER,
building_short_name CHAR(15),
building_full_name VARCHAR(80),
building_description VARCHAR(255),
building_address VARCHAR(255),
building_manager VARCHAR(50),
building_phone VARCHAR(80)
)
CREATE TABLE View_Unit_Status (
apt_id INTEGER,
apt_booking_id INTEGER,
status_date DATETIME,
available_yn BIT
)
CREATE TABLE Apartment_Bookings (
apt_booking_id INTEGER,
apt_id INTEGER,
guest_id INTEGER,
booking_status_code CHAR(15),
booking_start_date DATETIME,
booking_end_date DATETIME
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show each gender code and the corresponding count of guests sorted by the count in descending order. Show bar chart.
| SELECT gender_code, COUNT(*) FROM Guests GROUP BY gender_code ORDER BY COUNT(*) DESC | nvbench |
CREATE TABLE buildings (
id int,
name text,
City text,
Height int,
Stories int,
Status text
)
CREATE TABLE Office_locations (
building_id int,
company_id int,
move_in_year int
)
CREATE TABLE Companies (
id int,
name text,
Headquarters text,
Industry text,
Sales_billion real,
Profits_billion real,
Assets_billion real,
Market_Value_billion text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Return a bar chart on what are the name and assets of each company, sorted in ascending order of company name?
| SELECT name, Assets_billion FROM Companies ORDER BY name | nvbench |
CREATE TABLE table_name_35 (
score VARCHAR,
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score for the away team Chelsea?
| SELECT score FROM table_name_35 WHERE away_team = "chelsea" | sql_create_context |
CREATE TABLE table_47952 (
"Date" text,
"Region" text,
"Label" text,
"Catalogue" text,
"Format" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Date, when Format is Vinyl, and when Label is Mercury?
| SELECT "Date" FROM table_47952 WHERE "Format" = 'vinyl' AND "Label" = 'mercury' | wikisql |
CREATE TABLE jyjgzbb (
JYZBLSH text,
YLJGDM text,
BGDH text,
BGRQ time,
JYRQ time,
JCRGH text,
JCRXM text,
SHRGH text,
SHRXM text,
JCXMMC text,
JCZBDM text,
JCFF text,
JCZBMC text,
JCZBJGDX text,
JCZBJGDL number,
JCZBJGDW text,
SBBM text,
YQBH text,
YQMC text,
CKZFWDX text,
CKZFWXX number,
CKZFWSX number,
JLDW text
)
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
JYKSBM text,
JYKSMC text,
BGJGDM text,
BGJGMC text,
SQRQ time,
CJRQ time,
JYRQ time,
BGSJ time,
BBDM text,
BBMC text,
JYBBH text,
BBZT number,
BBCJBW text,
JSBBSJ time,
JYXMMC text,
JYXMDM text,
JYSQJGMC text,
JYJGMC text,
JSBBRQSJ time,
JYJSQM text,
JYJSGH text
)
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
CREATE TABLE mzjzjlb (
YLJGDM text,
JZLSH text,
KH text,
KLX number,
MJZH text,
HZXM text,
NLS number,
NLY number,
ZSEBZ number,
JZZTDM number,
JZZTMC text,
JZJSSJ time,
TXBZ number,
ZZBZ number,
WDBZ number,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
ZZYSGH text,
QTJZYSGH text,
JZZDBM text,
JZZDSM text,
MZZYZDZZBM text,
MZZYZDZZMC text,
SG number,
TZ number,
TW number,
SSY number,
SZY number,
XL number,
HXPLC number,
ML number,
JLSJ time
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者花正阳的哪些住院就诊记录对应的检验报告单的报告日期是在2018年9月29之前的？列出它们的流水号
| SELECT zyjzjlb.JZLSH FROM person_info JOIN hz_info JOIN zyjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX WHERE person_info.XM = '花正阳' AND NOT zyjzjlb.JZLSH IN (SELECT JZLSH FROM jybgb WHERE BGRQ >= '2018-09-29') | css |
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the most recent paper of image understanding ?
| SELECT DISTINCT paper.paperid, paper.year FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'image understanding' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid ORDER BY paper.year DESC | scholar |
CREATE TABLE table_name_35 (
example_code__huc_ INTEGER,
level VARCHAR,
example_name VARCHAR,
digits VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the mean huc example code when the example name's lower snake, there are 6 digits, and less than 3 levels?
| SELECT AVG(example_code__huc_) FROM table_name_35 WHERE example_name = "lower snake" AND digits = 6 AND level < 3 | sql_create_context |
CREATE TABLE table_32738 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What away team played when the home team scoreed 5.7 (37)?
| SELECT "Away team" FROM table_32738 WHERE "Home team score" = '5.7 (37)' | wikisql |
CREATE TABLE gwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE fgwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 医院9033547全部医疗记录的医疗费总额与个人账户支出的平均比值为多少在07年11月19日到17年2月7日内？
| SELECT AVG(t_kc24.PER_ACC_PAY) FROM gwyjzb JOIN t_kc24 ON gwyjzb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE gwyjzb.MED_SER_ORG_NO = '9033547' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2007-11-19' AND '2017-02-07' UNION SELECT AVG(t_kc24.PER_ACC_PAY) FROM fgwyjzb JOIN t_kc24 ON fgwyjzb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE fgwyjzb.MED_SER_ORG_NO = '9033547' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2007-11-19' AND '2017-02-07' | css |
CREATE TABLE table_24921 (
"School" text,
"Location" text,
"Team Name" text,
"Colors" text,
"Varsity Teams" real,
"NJCAA Championships" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the minimum possible NJCAA championships?
| SELECT MIN("NJCAA Championships") FROM table_24921 | wikisql |
CREATE TABLE table_name_65 (
moving_to VARCHAR,
date_from VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where did the player loaned out on 27 november 2008 move to ?
| SELECT moving_to FROM table_name_65 WHERE date_from = "27 november 2008" | sql_create_context |
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me a bar chart for all_games_percent of each team name, could you list in asc by the y axis please?
| SELECT Team_Name, All_Games_Percent FROM basketball_match ORDER BY All_Games_Percent | nvbench |
CREATE TABLE table_name_39 (
points_jury VARCHAR,
dance VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Points Jury for Dance pop?
| SELECT points_jury FROM table_name_39 WHERE dance = "pop" | sql_create_context |
CREATE TABLE table_name_37 (
final_rank VARCHAR,
rank_in_fs VARCHAR,
rank_in_sp VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many skaters have a Rank in FS of 3, and a Rank in SP larger than 4?
| SELECT COUNT(final_rank) FROM table_name_37 WHERE rank_in_fs = 3 AND rank_in_sp > 4 | sql_create_context |
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the number of students whose age is older than the average age for each gender, and I want to sort by the x axis in desc.
| SELECT Sex, COUNT(*) FROM Student WHERE Age > (SELECT AVG(Age) FROM Student) GROUP BY Sex ORDER BY Sex DESC | nvbench |
CREATE TABLE checking (
custid number,
balance number
)
CREATE TABLE accounts (
custid number,
name text
)
CREATE TABLE savings (
custid number,
balance number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the number of accounts with a savings balance that is higher than the average savings balance.
| SELECT COUNT(*) FROM savings WHERE balance > (SELECT AVG(balance) FROM savings) | spider |
CREATE TABLE table_name_54 (
pick__number INTEGER,
overall VARCHAR,
position VARCHAR,
college VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the Pick Number when the position was wide receiver, the college was Southern Miss with an overall less than 186?
| SELECT AVG(pick__number) FROM table_name_54 WHERE position = "wide receiver" AND college = "southern miss" AND overall < 186 | sql_create_context |
CREATE TABLE table_19934 (
"Series Ep." text,
"Episode" real,
"Netflix" text,
"Segment A" text,
"Segment B" text,
"Segment C" text,
"Segment D" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the number of episode for phyllo dough
| SELECT COUNT("Episode") FROM table_19934 WHERE "Segment C" = 'Phyllo Dough' | wikisql |
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the admission location and discharge location of subject id 4589?
| SELECT demographic.admission_location, demographic.discharge_location FROM demographic WHERE demographic.subject_id = "4589" | mimicsql_data |
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE jybgb_jyjgzbb (
JYZBLSH number,
YLJGDM text,
jyjgzbb_id number
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YQBH text,
YQMC text,
jyjgzbb_id number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者任同和的地高辛情况在05年7月20日到2016年2月21日内啥样？
| SELECT * FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN jybgb_jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jybgb_jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND jybgb_jyjgzbb.JYZBLSH = jyjgzbb.JYZBLSH AND jybgb_jyjgzbb.jyjgzbb_id = jyjgzbb.jyjgzbb_id WHERE person_info.XM = '任同和' AND jyjgzbb.JYRQ BETWEEN '2005-07-20' AND '2016-02-21' AND jyjgzbb.JCZBMC = '地高辛' UNION SELECT * FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb JOIN jybgb_jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jybgb_jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND jybgb_jyjgzbb.JYZBLSH = jyjgzbb.JYZBLSH AND jybgb_jyjgzbb.jyjgzbb_id = jyjgzbb.jyjgzbb_id WHERE person_info.XM = '任同和' AND jyjgzbb.JYRQ BETWEEN '2005-07-20' AND '2016-02-21' AND jyjgzbb.JCZBMC = '地高辛' | css |
CREATE TABLE table_203_186 (
id number,
"painter" text,
"composition" number,
"drawing" number,
"color" number,
"expression" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which artists scored at least 16 for composition ?
| SELECT "painter" FROM table_203_186 WHERE "composition" >= 16 | squall |
CREATE TABLE member (
Member_ID int,
Member_Name text,
Party_ID text,
In_office text
)
CREATE TABLE party_events (
Event_ID int,
Event_Name text,
Party_ID int,
Member_in_charge_ID int
)
CREATE TABLE region (
Region_ID int,
Region_name text,
Date text,
Label text,
Format text,
Catalogue text
)
CREATE TABLE party (
Party_ID int,
Minister text,
Took_office text,
Left_office text,
Region_ID int,
Party_name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Bar graph to show the number of took office from different took office, and show by the Y in ascending.
| SELECT Took_office, COUNT(Took_office) FROM party ORDER BY COUNT(Took_office) | nvbench |
CREATE TABLE table_25486 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the high points when rebounds were Terrence Williams (8)?
| SELECT "High points" FROM table_25486 WHERE "High rebounds" = 'Terrence Williams (8)' | wikisql |
CREATE TABLE table_21584646_10 (
champion VARCHAR,
runner_up VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many champions are shown for the runner-up of stefan edberg?
| SELECT COUNT(champion) FROM table_21584646_10 WHERE runner_up = "Stefan Edberg" | sql_create_context |
CREATE TABLE table_name_20 (
visitor VARCHAR,
home VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which visitor has a Los Angeles home?
| SELECT visitor FROM table_name_20 WHERE home = "los angeles" | sql_create_context |
CREATE TABLE Movie (
mID int,
title text,
year int,
director text
)
CREATE TABLE Reviewer (
rID int,
name text
)
CREATE TABLE Rating (
rID int,
mID int,
stars int,
ratingDate date
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Visualize the title and and the total star rating of the movie using a bar chart, show from low to high by the total number.
| SELECT title, SUM(stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY title ORDER BY SUM(stars) | nvbench |
CREATE TABLE table_76789 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which College has a Position of ol, and a Pick # smaller than 32?
| SELECT "College" FROM table_76789 WHERE "Position" = 'ol' AND "Pick #" < '32' | wikisql |
CREATE TABLE table_name_33 (
competition VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the competition when the score was 3-0?
| SELECT competition FROM table_name_33 WHERE score = "3-0" | sql_create_context |
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients whose diagnoses icd9 code is 30400 and lab test abnormal status is delta?
| 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.icd9_code = "30400" AND lab.flag = "delta" | mimicsql_data |
CREATE TABLE table_43562 (
"1946 Nos" text,
"1947 Nos" text,
"Date" real,
"Built at" text,
"LMS Nos" text,
"BR Nos" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which 1947 Nos has a BR Nos of 48730-9?
| SELECT "1947 Nos" FROM table_43562 WHERE "BR Nos" = '48730-9' | wikisql |
CREATE TABLE table_name_31 (
imed_avicenna_listed VARCHAR,
established VARCHAR,
degree VARCHAR,
regional_offshore VARCHAR,
country_territory VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the imed/avicenna listed for a medical school offshore in saint kitts and nevis which was established before 2000 and will give you an MD?
| SELECT imed_avicenna_listed FROM table_name_31 WHERE regional_offshore = "offshore" AND country_territory = "saint kitts and nevis" AND degree = "md" AND established < 2000 | sql_create_context |
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Are any professors appointed for Winter Other classes ?
| SELECT DISTINCT instructor.name FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE program_course.category LIKE '%Other%' AND semester.semester = 'Winter' AND semester.year = 2017 | advising |
CREATE TABLE table_75989 (
"Source" text,
"Date" text,
"Goberman" text,
"Loera" text,
"Merkley" text,
"Neville" text,
"Novick" text,
"Obrist" text,
"Other/ Undecided" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Loera has a Source of surveyusa, and a Date of may 16 may 18, 2008?
| SELECT "Loera" FROM table_75989 WHERE "Source" = 'surveyusa' AND "Date" = 'may 16–may 18, 2008' | wikisql |
CREATE TABLE table_19102 (
"Club" text,
"Played" text,
"Won" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text,
"Losing bonus" text,
"Points" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many points are there when the lost is 7?
| SELECT "Points for" FROM table_19102 WHERE "Lost" = '7' | wikisql |
CREATE TABLE table_name_86 (
date VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the date of the game when the record was 70-74?
| SELECT date FROM table_name_86 WHERE record = "70-74" | sql_create_context |
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For upper-level classes , do they all have exams ?
| SELECT COUNT(*) = 0 FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.has_exams = 'N' AND program_course.category LIKE '%ULCS%' | advising |
CREATE TABLE table_name_35 (
yonguk VARCHAR,
halang VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Yonguk has a Halang of ran ?
| SELECT yonguk FROM table_name_35 WHERE halang = "ran¹" | sql_create_context |
CREATE TABLE table_15755 (
"Player" text,
"League" real,
"Scottish Cup" real,
"League Cup" real,
"Challenge Cup" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest Total with a League Cup greater than 0, Player Gary Harkins, and Scottish Cup greater than 0?
| SELECT MAX("Total") FROM table_15755 WHERE "League Cup" > '0' AND "Player" = 'gary harkins' AND "Scottish Cup" > '0' | wikisql |
CREATE TABLE table_56228 (
"D 50" text,
"D 49" text,
"D 48" text,
"D 47" text,
"D 46" text,
"D 45" text,
"D 44" text,
"D 43" text,
"D 42" text,
"D 41" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the D 42 when the D 50 is d 31?
| SELECT "D 42" FROM table_56228 WHERE "D 50" = 'd 31' | wikisql |
CREATE TABLE table_58447 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the date of Competition of 2008 africa cup of nations?
| SELECT "Date" FROM table_58447 WHERE "Competition" = '2008 africa cup of nations' | wikisql |
CREATE TABLE table_796 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" text,
"Result" text,
"Candidates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who were the candidates in the district of South Carolina 5?
| SELECT "Candidates" FROM table_796 WHERE "District" = 'South Carolina 5' | wikisql |
CREATE TABLE zyb (
CLINIC_ID text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE gyb (
CLINIC_ID text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE qtb (
CLINIC_ID text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE mzb (
CLINIC_ID text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 列出医院0798538所有的个人自费与医疗费总额在医疗就诊记录中的比值的最小值是什么，在不同科室名称和出院诊断疾病编码下，并升序排序？
| SELECT qtb.MED_ORG_DEPT_NM, qtb.OUT_DIAG_DIS_CD, MIN(t_kc24.PER_EXP) FROM qtb JOIN t_kc24 ON qtb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE qtb.MED_SER_ORG_NO = '0798538' GROUP BY qtb.MED_ORG_DEPT_NM, qtb.OUT_DIAG_DIS_CD ORDER BY MIN(t_kc24.PER_EXP / t_kc24.MED_AMOUT) UNION SELECT gyb.MED_ORG_DEPT_NM, gyb.OUT_DIAG_DIS_CD, MIN(t_kc24.PER_EXP) FROM gyb JOIN t_kc24 ON gyb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE gyb.MED_SER_ORG_NO = '0798538' GROUP BY gyb.MED_ORG_DEPT_NM, gyb.OUT_DIAG_DIS_CD ORDER BY MIN(t_kc24.PER_EXP / t_kc24.MED_AMOUT) UNION SELECT zyb.MED_ORG_DEPT_NM, zyb.OUT_DIAG_DIS_CD, MIN(t_kc24.PER_EXP) FROM zyb JOIN t_kc24 ON zyb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE zyb.MED_SER_ORG_NO = '0798538' GROUP BY zyb.MED_ORG_DEPT_NM, zyb.OUT_DIAG_DIS_CD ORDER BY MIN(t_kc24.PER_EXP / t_kc24.MED_AMOUT) UNION SELECT mzb.MED_ORG_DEPT_NM, mzb.OUT_DIAG_DIS_CD, MIN(t_kc24.PER_EXP) FROM mzb JOIN t_kc24 ON mzb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE mzb.MED_SER_ORG_NO = '0798538' GROUP BY mzb.MED_ORG_DEPT_NM, mzb.OUT_DIAG_DIS_CD ORDER BY MIN(t_kc24.PER_EXP / t_kc24.MED_AMOUT) | css |
CREATE TABLE table_name_76 (
name VARCHAR,
species_authority VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name for the species Authority of sigmodon hispidus say & ord, 1825?
| SELECT name FROM table_name_76 WHERE species_authority = "sigmodon hispidus say & ord, 1825" | sql_create_context |
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A pie chart shows the proportion of ACC_Regular_Season and School_ID.
| SELECT ACC_Regular_Season, School_ID FROM basketball_match | nvbench |
CREATE TABLE table_13012165_1 (
maryland VARCHAR,
pennsylvania VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who played in Maryland the same year that Deep Run Valley LL Hilltown played in Pennsylvania?
| SELECT maryland FROM table_13012165_1 WHERE pennsylvania = "Deep Run Valley LL Hilltown" | sql_create_context |
CREATE TABLE table_76772 (
"Name" text,
"Gain" real,
"Loss" real,
"Long" real,
"Avg/G" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How much Gain has a Long of 29, and an Avg/G smaller than 33.7?
| SELECT COUNT("Gain") FROM table_76772 WHERE "Long" = '29' AND "Avg/G" < '33.7' | wikisql |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is discharge location and discharge time of subject id 29961?
| SELECT demographic.discharge_location, demographic.dischtime FROM demographic WHERE demographic.subject_id = "29961" | mimicsql_data |
CREATE TABLE table_46431 (
"Club" text,
"Location" text,
"Current manager" text,
"Team captain" text,
"Stadium" text,
"Capacity" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the team captain of the Guldensporen Stadion with a stadium capacity larger than 12,919?
| SELECT "Team captain" FROM table_46431 WHERE "Capacity" > '12,919' AND "Stadium" = 'guldensporen stadion' | wikisql |
CREATE TABLE table_79744 (
"Name" text,
"Birth year and age" text,
"Net worth US$ (billions)" real,
"Citizenship" text,
"Source" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the source of wealth of the person worth $17 billion?
| SELECT "Source" FROM table_79744 WHERE "Net worth US$ (billions)" = '17' | wikisql |
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YQBH text,
YQMC text,
jyjgzbb_id number
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jybgb_jyjgzbb (
JYZBLSH number,
YLJGDM text,
jyjgzbb_id number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 门诊诊断为疾病编号Y85.622的病人的低密度脂蛋白胆固醇的参考值界限下限和上限我可以看看吗？
| SELECT jyjgzbb.CKZFWXX, jyjgzbb.CKZFWSX FROM mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN jybgb_jyjgzbb ON mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jybgb_jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND jybgb_jyjgzbb.JYZBLSH = jyjgzbb.JYZBLSH AND jybgb_jyjgzbb.jyjgzbb_id = jyjgzbb.jyjgzbb_id WHERE mzjzjlb.JZZDBM = 'Y85.622' AND jyjgzbb.JCZBMC = '低密度脂蛋白胆固醇' | css |
CREATE TABLE table_27712702_11 (
game INTEGER,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the game number where the record was 46 24?
| SELECT MIN(game) FROM table_27712702_11 WHERE record = "46–24" | sql_create_context |
CREATE TABLE table_25446 (
"Outcome" text,
"Year" real,
"Championship" text,
"Surface" text,
"Partner" text,
"Opponents" text,
"Score" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the surface when the us open is the championship in the year 1979?
| SELECT "Surface" FROM table_25446 WHERE "Championship" = 'US Open' AND "Year" = '1979' | wikisql |
CREATE TABLE table_name_62 (
silver INTEGER,
nation VARCHAR,
gold VARCHAR,
bronze VARCHAR,
total VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the most silver when bronze is more than 0, total is more than 1, gold is more than 0 and the nation is china (chn)?
| SELECT MAX(silver) FROM table_name_62 WHERE bronze > 0 AND total > 1 AND gold > 0 AND nation = "china (chn)" | sql_create_context |
CREATE TABLE zzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZYSGH text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE fzzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 继发龋的患者在被门诊诊断后他们的妊娠相关性血浆蛋白-A数值的平均值以及最值都是什么？
| SELECT AVG(jyjgzbb.JCZBJGDL), MIN(jyjgzbb.JCZBJGDL), MAX(jyjgzbb.JCZBJGDL) FROM zzmzjzjlb JOIN jybgb JOIN jyjgzbb ON zzmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND zzmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE zzmzjzjlb.JZZDSM = '继发龋' AND jyjgzbb.JCZBMC = '妊娠相关性血浆蛋白-A' UNION SELECT AVG(jyjgzbb.JCZBJGDL), MIN(jyjgzbb.JCZBJGDL), MAX(jyjgzbb.JCZBJGDL) FROM fzzmzjzjlb JOIN jybgb JOIN jyjgzbb ON fzzmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND fzzmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE fzzmzjzjlb.JZZDSM = '继发龋' AND jyjgzbb.JCZBMC = '妊娠相关性血浆蛋白-A' | css |
CREATE TABLE table_46927 (
"Player" text,
"Country" text,
"Year(s) won" text,
"Total" real,
"To par" real,
"Finish" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the player is Corey Pavin when he had a To par of over 7, what was the sum of his totals?
| SELECT SUM("Total") FROM table_46927 WHERE "To par" > '7' AND "Player" = 'corey pavin' | wikisql |
CREATE TABLE table_name_29 (
release_date VARCHAR,
sspec_number VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the release date for the processor spec number SLBEQ(d0)?
| SELECT release_date FROM table_name_29 WHERE sspec_number = "slbeq(d0)" | sql_create_context |
CREATE TABLE Students (
first_name VARCHAR,
student_id VARCHAR
)
CREATE TABLE Student_Addresses (
student_id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the id and first name of the student whose addresses have the highest average monthly rental?
| SELECT T1.student_id, T2.first_name FROM Student_Addresses AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY AVG(monthly_rental) DESC LIMIT 1 | sql_create_context |
CREATE TABLE table_201_39 (
id number,
"no" number,
"title" text,
"directed by" text,
"released" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the last title that sid marcus directed ?
| SELECT "title" FROM table_201_39 WHERE "directed by" = 'sid marcus' ORDER BY "no" DESC LIMIT 1 | squall |
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE zyjzjlb_jybgb (
YLJGDM_ZYJZJLB text,
BGDH number,
YLJGDM number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 排出患者俞玉宸入院科室名称不包含乳腺在医院4840688中的分别有哪几条住院就诊记录？
| SELECT * FROM person_info JOIN hz_info JOIN zyjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX WHERE person_info.XM = '俞玉宸' AND hz_info.YLJGDM = '4840688' AND NOT zyjzjlb.JZKSMC LIKE '%乳腺%' | css |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many patients had undergone other radiotherapeutic procedures?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "Other radiotherapeutic procedure" | mimicsql_data |
CREATE TABLE table_name_32 (
pick VARCHAR,
college VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT IS THE TOTAL PICK FOR BOSTON COLLEGE?
| SELECT COUNT(pick) FROM table_name_32 WHERE college = "boston college" | sql_create_context |
CREATE TABLE Students (
student_id INTEGER,
address_id INTEGER,
first_name VARCHAR(80),
middle_name VARCHAR(40),
last_name VARCHAR(40),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
date_first_rental DATETIME,
date_left_university DATETIME,
other_student_details VARCHAR(255)
)
CREATE TABLE Assessment_Notes (
notes_id INTEGER,
student_id INTEGER,
teacher_id INTEGER,
date_of_notes DATETIME,
text_of_notes VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Address_Types (
address_type_code VARCHAR(15),
address_type_description VARCHAR(80)
)
CREATE TABLE Detention (
detention_id INTEGER,
detention_type_code VARCHAR(10),
teacher_id INTEGER,
datetime_detention_start DATETIME,
datetime_detention_end DATETIME,
detention_summary VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Students_in_Detention (
student_id INTEGER,
detention_id INTEGER,
incident_id INTEGER
)
CREATE TABLE Ref_Incident_Type (
incident_type_code VARCHAR(10),
incident_type_description VARCHAR(80)
)
CREATE TABLE Teachers (
teacher_id INTEGER,
address_id INTEGER,
first_name VARCHAR(80),
middle_name VARCHAR(80),
last_name VARCHAR(80),
gender VARCHAR(1),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Behavior_Incident (
incident_id INTEGER,
incident_type_code VARCHAR(10),
student_id INTEGER,
date_incident_start DATETIME,
date_incident_end DATETIME,
incident_summary VARCHAR(255),
recommendations VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Detention_Type (
detention_type_code VARCHAR(10),
detention_type_description VARCHAR(80)
)
CREATE TABLE Addresses (
address_id INTEGER,
line_1 VARCHAR(120),
line_2 VARCHAR(120),
line_3 VARCHAR(120),
city VARCHAR(80),
zip_postcode VARCHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50),
other_address_details VARCHAR(255)
)
CREATE TABLE Student_Addresses (
student_id INTEGER,
address_id INTEGER,
date_address_from DATETIME,
date_address_to DATETIME,
monthly_rental DECIMAL(19,4),
other_details VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me about the correlation between student_id and address_id , and group by attribute other_details in a scatter chart.
| SELECT student_id, address_id FROM Student_Addresses GROUP BY other_details ORDER BY monthly_rental DESC | nvbench |
CREATE TABLE table_75321 (
"Name" text,
"Birth" text,
"Marriage" text,
"Became Consort" text,
"Coronation" text,
"Ceased to be Consort" text,
"Death" text,
"Spouse" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- On what date did James II take a consort?
| SELECT "Became Consort" FROM table_75321 WHERE "Spouse" = 'james ii' | wikisql |
CREATE TABLE table_name_12 (
date VARCHAR,
set_1 VARCHAR,
set_3 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What date was the set 1 25 23, and a Set 3 of 25 14?
| SELECT date FROM table_name_12 WHERE set_1 = "25–23" AND set_3 = "25–14" | sql_create_context |
CREATE TABLE table_31404 (
"Name" text,
"#" real,
"Position" text,
"Height" text,
"Weight ( lb. )" real,
"Year" text,
"Hometown" text,
"Previous School" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What year was player number 10?
| SELECT "Year" FROM table_31404 WHERE "#" = '10' | wikisql |
CREATE TABLE table_67242 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What entrant had a Maserati 250F chassis and fewer than 6 points before 1957?
| SELECT "Entrant" FROM table_67242 WHERE "Chassis" = 'maserati 250f' AND "Year" < '1957' AND "Points" < '6' | wikisql |
CREATE TABLE table_64388 (
"Rank" real,
"Heat" real,
"Athlete" text,
"Country" text,
"Time" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the heat when the athlete is anita pistone?
| SELECT SUM("Heat") FROM table_64388 WHERE "Athlete" = 'anita pistone' | wikisql |
CREATE TABLE table_73084 (
"Episode title" text,
"Subject" text,
"Music by" text,
"Lyrics by" text,
"Performed by" text,
"First aired" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When zachary sanders is the performer how many first aired are there?
| SELECT COUNT("First aired") FROM table_73084 WHERE "Performed by" = 'Zachary Sanders' | wikisql |
CREATE TABLE table_2818164_5 (
production_code INTEGER,
no_in_series VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the production code for episode 96 in the series?
| SELECT MIN(production_code) FROM table_2818164_5 WHERE no_in_series = "96" | sql_create_context |
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