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stringlengths 151
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CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Just show the employee's last name and their manager's id using a bar chart.
| SELECT LAST_NAME, MANAGER_ID FROM employees | nvbench |
CREATE TABLE table_1459 (
"Institution" text,
"Location" text,
"Nickname" text,
"Enrollment" real,
"Established" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the enrollment for the Cavaliers?
| SELECT MAX("Enrollment") FROM table_1459 WHERE "Nickname" = 'Cavaliers' | wikisql |
CREATE TABLE table_55510 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many grids had more than 61 laps?
| SELECT SUM("Grid") FROM table_55510 WHERE "Laps" > '61' | wikisql |
CREATE TABLE table_name_23 (
length VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the length of the race on August 15?
| SELECT length FROM table_name_23 WHERE date = "august 15" | sql_create_context |
CREATE TABLE t_kc24 (
MED_SAFE_PAY_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
REF_SLT_FLG number,
CLINIC_SLT_DATE time,
COMP_ID text,
PERSON_ID text,
FLX_MED_ORG_ID text,
INSU_TYPE text,
MED_AMOUT number,
PER_ACC_PAY number,
OVE_PAY number,
ILL_PAY number,
CIVIL_SUBSIDY number,
PER_SOL number,
PER_EXP number,
DATA_ID text,
SYNC_TIME time,
OUT_HOSP_DATE time,
CLINIC_ID text,
MED_TYPE number,
INSURED_STS text,
INSURED_IDENTITY number,
TRADE_TYPE number,
RECIPE_BILL_ID text,
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
RECEIVER_DEAL_ID text,
SENDER_REVOKE_ID text,
RECEIVER_REVOKE_ID text,
SENDER_OFFSET_ID text,
RECEIVER_OFFSET_ID text,
LAS_OVE_PAY number,
OVE_ADD_PAY number,
SUP_ADD_PAY number,
CKC102 number,
CASH_PAY number,
COM_ACC_PAY number,
ENT_ACC_PAY number,
ENT_PAY number,
COM_PAY number,
OLDC_FUND_PAY number,
SPE_FUND_PAY number
)
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,
VAL_UNIT text,
DOSE_UNIT text,
DOSE_FORM text,
SPEC text,
USE_FRE text,
EACH_DOSAGE text,
QTY number,
UNIVALENT number,
AMOUNT number,
SELF_PAY_PRO number,
RER_SOL number,
SELF_PAY_AMO number,
UP_LIMIT_AMO number,
OVE_SELF_AMO number,
EXP_OCC_DATE time,
RECIPE_BILL_ID text,
FLX_MED_ORG_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
REF_STA_FLG number,
DATA_ID text,
SYNC_TIME time,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
TRADE_TYPE number,
STA_FLG number,
STA_DATE time,
REIMBURS_TYPE number,
FXBZ number,
REMOTE_SETTLE_FLG text
)
CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG number,
FLX_MED_ORG_ID text,
MED_SER_ORG_NO text,
CLINIC_TYPE text,
MED_TYPE number,
CLINIC_ID text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
INPT_AREA_BED text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
MAIN_COND_DES text,
INSU_TYPE text,
IN_HOSP_DAYS number,
MED_AMOUT number,
FERTILITY_STS number,
DATA_ID text,
SYNC_TIME time,
REIMBURSEMENT_FLG number,
HOSP_LEV number,
HOSP_STS number,
INSURED_IDENTITY number,
SERVANT_FLG text,
TRADE_TYPE number,
INSURED_STS text,
REMOTE_SETTLE_FLG text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 多糖铁复合物胶囊这种药都什么医院给名叫秦雅惠的患者开过？
| SELECT MED_SER_ORG_NO FROM t_kc21 WHERE PERSON_NM = '秦雅惠' AND MED_CLINIC_ID IN (SELECT MED_CLINIC_ID FROM t_kc22 WHERE SOC_SRT_DIRE_NM = '多糖铁复合物胶囊') | css |
CREATE TABLE table_55044 (
"Tournament" text,
"1980" text,
"1981" text,
"1982" text,
"1983" text,
"1984" text,
"1985" text,
"1986" text,
"1987" text,
"1988" text,
"1989" text,
"1990" text,
"1991" text,
"1992" text,
"1993" text,
"1994" text,
"1995" text,
"1996" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the 1988 value when the 1987 value was 1r?
| SELECT "1988" FROM table_55044 WHERE "1987" = '1r' | wikisql |
CREATE TABLE flight (
id int,
Vehicle_Flight_number text,
Date text,
Pilot text,
Velocity real,
Altitude real,
airport_id int,
company_id int
)
CREATE TABLE operate_company (
id int,
name text,
Type text,
Principal_activities text,
Incorporated_in text,
Group_Equity_Shareholding real
)
CREATE TABLE airport (
id int,
City text,
Country text,
IATA text,
ICAO text,
name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the ids and names of the companies that operated more than one flight.
| SELECT T1.name, T1.id FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id | nvbench |
CREATE TABLE aircraft (
aid number,
name text,
distance number
)
CREATE TABLE certificate (
eid number,
aid number
)
CREATE TABLE employee (
eid number,
name text,
salary number
)
CREATE TABLE flight (
flno number,
origin text,
destination text,
distance number,
departure_date time,
arrival_date time,
price number,
aid number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the names for all aircrafts with at least 2 flights?
| SELECT T2.name FROM flight AS T1 JOIN aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid HAVING COUNT(*) >= 2 | spider |
CREATE TABLE table_15417 (
"Season" text,
"Games" real,
"Lost" real,
"Tied" real,
"Points" real,
"Goals for" real,
"Goals against" real,
"Standing" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the most games for standing of 5th, lebel and goals against larger than 220 with lost more than 52
| SELECT MAX("Games") FROM table_15417 WHERE "Standing" = '5th, lebel' AND "Goals against" > '220' AND "Lost" > '52' | wikisql |
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
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 lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime 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 vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients until 4 years ago received a endotracheal tube - insertion after the first therapeutic antibacterials - vancomycin procedure in the same hospital visit?
| SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'therapeutic antibacterials - vancomycin' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'endotracheal tube - insertion' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 WHERE t1.treatmenttime < t2.treatmenttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid | eicu |
CREATE TABLE table_name_65 (
Id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What shows for 2002 when 2006 is Grand Slam Tournaments?
| SELECT 2002 FROM table_name_65 WHERE 2006 = "grand slam tournaments" | sql_create_context |
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 inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
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 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 cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_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 chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
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.
-- how many patients who had been diagnosed with other apnea of newborn since 1 year ago?
| SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'other apnea of newborn') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-1 year')) | mimic_iii |
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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.
-- count the number of patients whose ethnicity is american indian/alaska native and drug type is main?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND prescriptions.drug_type = "MAIN" | mimicsql_data |
CREATE TABLE table_29494395_3 (
originalair_date VARCHAR,
director VARCHAR,
writer VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the original air date when the director is Rowan Woods and the writer is Peter Duncan?
| SELECT originalair_date FROM table_29494395_3 WHERE director = "Rowan Woods" AND writer = "Peter Duncan" | sql_create_context |
CREATE TABLE table_17120964_7 (
man_of_the_match VARCHAR,
result VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the man of the match when they lost 2-4?
| SELECT man_of_the_match FROM table_17120964_7 WHERE result = "Lost 2-4" | sql_create_context |
CREATE TABLE endowment (
endowment_id int,
School_id int,
donator_name text,
amount real
)
CREATE TABLE School (
School_id text,
School_name text,
Location text,
Mascot text,
Enrollment int,
IHSAA_Class text,
IHSAA_Football_Class text,
County text
)
CREATE TABLE budget (
School_id int,
Year int,
Budgeted int,
total_budget_percent_budgeted real,
Invested int,
total_budget_percent_invested real,
Budget_invested_percent text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Create a pie chart showing the total number across county.
| SELECT County, COUNT(*) FROM School GROUP BY County | nvbench |
CREATE TABLE table_name_13 (
leading_scorer VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the leading scorer for april 12, 2008
| SELECT leading_scorer FROM table_name_13 WHERE date = "april 12, 2008" | sql_create_context |
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
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 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 d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title 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 labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
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 microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
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 procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients until 2 years ago were staying in the 8 ward?
| SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.wardid = 8 AND DATETIME(transfers.intime) <= DATETIME(CURRENT_TIME(), '-2 year')) | mimic_iii |
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 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 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 (
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 医生21581460的门诊量在2002年10月1日到2016年7月5日内总共有多少人？
| SELECT COUNT(*) FROM zzmzjzjlb WHERE zzmzjzjlb.ZZYSGH = '21581460' AND zzmzjzjlb.JZKSRQ BETWEEN '2002-10-01' AND '2016-07-05' UNION SELECT COUNT(*) FROM fzzmzjzjlb WHERE fzzmzjzjlb.ZZYSGH = '21581460' AND fzzmzjzjlb.JZKSRQ BETWEEN '2002-10-01' AND '2016-07-05' | css |
CREATE TABLE table_name_44 (
game INTEGER,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the smallest game number with a record of 16-7-2?
| SELECT MIN(game) FROM table_name_44 WHERE record = "16-7-2" | sql_create_context |
CREATE TABLE table_26943 (
"Name" text,
"Position" text,
"Period" text,
"Appearances\u00b9" real,
"Goals\u00b9" real,
"Nationality\u00b2" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What positions correspond to the name Thierry Morin?
| SELECT "Position" FROM table_26943 WHERE "Name" = 'Thierry Morin' | wikisql |
CREATE TABLE table_204_828 (
id number,
"whitworth size (in)" number,
"core diameter (in)" number,
"threads per inch" number,
"pitch (in)" number,
"tapping drill size" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the total of the first two core diameters ?
| SELECT SUM("core diameter (in)") FROM table_204_828 WHERE id <= 2 | squall |
CREATE TABLE table_14003020_5 (
average INTEGER,
highest VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the minimum average with highest being 2363
| SELECT MIN(average) FROM table_14003020_5 WHERE highest = 2363 | sql_create_context |
CREATE TABLE table_72636 (
"Rank" real,
"Country/Territory" text,
"Miss World" real,
"1st Runner-up" real,
"2nd Runner-up" real,
"3rd Runner-up" real,
"4th Runner-up" real,
"5th Runner-up" real,
"6th Runner-up" real,
"Semifinalists" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which countries have a 5th runner-up ranking is 2 and the 3rd runner-up ranking is 0
| SELECT "Total" FROM table_72636 WHERE "5th Runner-up" = '2' AND "3rd Runner-up" = '0' | wikisql |
CREATE TABLE table_name_44 (
industry INTEGER,
agriculture INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average Industry, when Agriculture is greater than 11?
| SELECT AVG(industry) FROM table_name_44 WHERE agriculture > 11 | sql_create_context |
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients whose age is less than 58 and lab test fluid is urine?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "58" AND lab.fluid = "Urine" | mimicsql_data |
CREATE TABLE table_204_940 (
id number,
"year" number,
"tournaments\nplayed" number,
"cuts\nmade" number,
"wins" number,
"2nd" number,
"3rd" number,
"top 10s" number,
"best\nfinish" text,
"earnings\n(\u20ac)" number,
"money\nlist rank" number,
"scoring\naverage" number,
"scoring\nrank" number,
"rolex\nranking" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which one is the least with scoring average
| SELECT "year" FROM table_204_940 ORDER BY "scoring\naverage" LIMIT 1 | squall |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose age is less than 27 and diagnoses long title is tietze's disease?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "27" AND diagnoses.long_title = "Tietze's disease" | mimicsql_data |
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- i mean how many days has it been since the last time patient 007-15837 had a levophed (ml): intake on the current intensive care unit visit?
| SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', intakeoutput.intakeoutputtime)) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-15837') AND patient.unitdischargetime IS NULL) AND intakeoutput.celllabel = 'levophed (ml):' AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | eicu |
CREATE TABLE table_75838 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest Total with a Rank that is smaller than 4 and a Nation of tunisia (tun) with a Gold that is smaller than 2?
| SELECT MAX("Total") FROM table_75838 WHERE "Rank" < '4' AND "Nation" = 'tunisia (tun)' AND "Gold" < '2' | wikisql |
CREATE TABLE table_45187 (
"Date" text,
"Opponent" text,
"Venue" text,
"Result" text,
"Attendance" text,
"Competition" text,
"Man of the Match" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the attendance of the match on the 2nd with the slough jets as the opponent?
| SELECT "Attendance" FROM table_45187 WHERE "Opponent" = 'slough jets' AND "Date" = '2nd' | wikisql |
CREATE TABLE table_39806 (
"Airline" text,
"ICAO" text,
"IATA" text,
"Callsign" text,
"Commenced operations" real,
"Fleet size" real,
"Headquarters" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which ICAO has a Commenced operations larger than 2011?
| SELECT "ICAO" FROM table_39806 WHERE "Commenced operations" > '2011' | wikisql |
CREATE TABLE table_204_652 (
id number,
"title" text,
"year" number,
"director" text,
"country" text,
"genre" text,
"notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the total number of lesbian , gay , bisexual , or transgender related films were there in the year 2000 ?
| SELECT COUNT("title") FROM table_204_652 | squall |
CREATE TABLE table_44018 (
"Team" text,
"Driver" text,
"Class" text,
"Chassis" text,
"Rounds" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many rounds did Nil Montserrat drive in?
| SELECT "Rounds" FROM table_44018 WHERE "Driver" = 'nil montserrat' | wikisql |
CREATE TABLE table_name_45 (
date VARCHAR,
winner VARCHAR,
competition_round VARCHAR,
venue VARCHAR,
season VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- On what date did Universitario win the Torneo Apertura round after 2003 at Estadio Alejandro Villanueva?
| SELECT date FROM table_name_45 WHERE venue = "estadio alejandro villanueva" AND season > 2003 AND competition_round = "torneo apertura" AND winner = "universitario" | sql_create_context |
CREATE TABLE table_71104 (
"Date" text,
"Time" text,
"Score" text,
"Set 1" text,
"Set 2" text,
"Set 3" text,
"Total" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Set 3 has a Time of 10:00, and a Set 2 of 25 19?
| SELECT "Set 3" FROM table_71104 WHERE "Time" = '10:00' AND "Set 2" = '25–19' | wikisql |
CREATE TABLE table_14961 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the least attendance for 52-37 record
| SELECT MIN("Attendance") FROM table_14961 WHERE "Record" = '52-37' | wikisql |
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 cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value 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 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
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
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 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_icd_procedures (
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 diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE procedures_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 d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what time patient 13536 had last had the maximum arterial bp [systolic] value until 05/09/2105?
| SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13536)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND STRFTIME('%y-%m-%d', chartevents.charttime) <= '2105-05-09' ORDER BY chartevents.valuenum DESC, chartevents.charttime DESC LIMIT 1 | mimic_iii |
CREATE TABLE table_name_88 (
total_goals INTEGER,
league_cup_goals VARCHAR,
playoff_apps VARCHAR,
fa_cup_apps VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many total goals did the squad with 2 playoff apps, 2 FA Cup Apps, and 0 League Cup goals get?
| SELECT SUM(total_goals) FROM table_name_88 WHERE playoff_apps = "2" AND fa_cup_apps = "2" AND league_cup_goals < 0 | sql_create_context |
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who was hired before 2002-06-21, a bar chart shows the distribution of hire_date and the sum of department_id bin hire_date by time, could you rank by the total number in desc?
| SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(DEPARTMENT_ID) DESC | nvbench |
CREATE TABLE table_2093995_1 (
stations VARCHAR,
parking VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which station has park & ride lot parking?
| SELECT stations FROM table_2093995_1 WHERE parking = "Park & Ride Lot" | sql_create_context |
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Short/thank you comments on ru/pt SO.
| SELECT c.Id AS "comment_link" FROM Comments AS c WHERE c.Text LIKE '%racias%' AND LENGTH(c.Text) < 20 ORDER BY c.CreationDate LIMIT 1000 | sede |
CREATE TABLE table_45042 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What country was the player with the score line 69-71-72-69=281 from?
| SELECT "Country" FROM table_45042 WHERE "Score" = '69-71-72-69=281' | wikisql |
CREATE TABLE weekly_weather (
station_id int,
day_of_week text,
high_temperature int,
low_temperature int,
precipitation real,
wind_speed_mph int
)
CREATE TABLE station (
id int,
network_name text,
services text,
local_authority text
)
CREATE TABLE route (
train_id int,
station_id int
)
CREATE TABLE train (
id int,
train_number int,
name text,
origin text,
destination text,
time text,
interval text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Draw a bar chart for what is the average high temperature for each day of week?, and sort from low to high by the total number please.
| SELECT day_of_week, AVG(high_temperature) FROM weekly_weather GROUP BY day_of_week ORDER BY AVG(high_temperature) | nvbench |
CREATE TABLE table_61573 (
"Name" text,
"Type" text,
"R.A. ( J2000 )" text,
"Dec. ( J2000 )" text,
"Redshift (km/ s )" text,
"Apparent Magnitude" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Name has Apparent Magnitude smaller than 11.4, and R.A. (J2000) of 04h17m35.8s?
| SELECT "Name" FROM table_61573 WHERE "Apparent Magnitude" < '11.4' AND "R.A. ( J2000 )" = '04h17m35.8s' | wikisql |
CREATE TABLE table_204_159 (
id number,
"name" text,
"nation" text,
"position" text,
"league apps" number,
"league goals" number,
"fa cup apps" number,
"fa cup goals" number,
"total apps" number,
"total goals" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- the least number of total appearances
| SELECT MIN("total apps") FROM table_204_159 | squall |
CREATE TABLE table_36599 (
"Date" text,
"Home Team" text,
"Score" text,
"Visiting Team" text,
"Stadium" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score on April 6, 2008?
| SELECT "Score" FROM table_36599 WHERE "Date" = 'april 6, 2008' | wikisql |
CREATE TABLE table_11981 (
"Airing date" text,
"English title (Chinese title)" text,
"Number of episodes" real,
"HD format" text,
"Highest average point ratings" real,
"Genre" text,
"Official website" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the highest average point rating for a modern suspense show with 21 episodes?
| SELECT SUM("Highest average point ratings") FROM table_11981 WHERE "Genre" = 'modern suspense' AND "Number of episodes" = '21' | wikisql |
CREATE TABLE table_name_93 (
fis_nordic_world_ski_championships VARCHAR,
winter_olympics VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the FIS Nordic World Ski Championship years when the winter Olympics took place in 1968?
| SELECT fis_nordic_world_ski_championships FROM table_name_93 WHERE winter_olympics = 1968 | sql_create_context |
CREATE TABLE SECTION (
building VARCHAR,
room_number VARCHAR,
semester VARCHAR,
year VARCHAR,
course_id VARCHAR
)
CREATE TABLE course (
course_id VARCHAR,
dept_name VARCHAR,
title VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the building, room number, semester and year of all courses offered by Psychology department sorted by course titles.
| SELECT T2.building, T2.room_number, T2.semester, T2.year FROM course AS T1 JOIN SECTION AS T2 ON T1.course_id = T2.course_id WHERE T1.dept_name = 'Psychology' ORDER BY T1.title | sql_create_context |
CREATE TABLE DEPARTMENT (
DEPT_CODE varchar(10),
DEPT_NAME varchar(30),
SCHOOL_CODE varchar(8),
EMP_NUM int,
DEPT_ADDRESS varchar(20),
DEPT_EXTENSION varchar(4)
)
CREATE TABLE COURSE (
CRS_CODE varchar(10),
DEPT_CODE varchar(10),
CRS_DESCRIPTION varchar(35),
CRS_CREDIT float(8)
)
CREATE TABLE EMPLOYEE (
EMP_NUM int,
EMP_LNAME varchar(15),
EMP_FNAME varchar(12),
EMP_INITIAL varchar(1),
EMP_JOBCODE varchar(5),
EMP_HIREDATE datetime,
EMP_DOB datetime
)
CREATE TABLE STUDENT (
STU_NUM int,
STU_LNAME varchar(15),
STU_FNAME varchar(15),
STU_INIT varchar(1),
STU_DOB datetime,
STU_HRS int,
STU_CLASS varchar(2),
STU_GPA float(8),
STU_TRANSFER numeric,
DEPT_CODE varchar(18),
STU_PHONE varchar(4),
PROF_NUM int
)
CREATE TABLE PROFESSOR (
EMP_NUM int,
DEPT_CODE varchar(10),
PROF_OFFICE varchar(50),
PROF_EXTENSION varchar(4),
PROF_HIGH_DEGREE varchar(5)
)
CREATE TABLE CLASS (
CLASS_CODE varchar(5),
CRS_CODE varchar(10),
CLASS_SECTION varchar(2),
CLASS_TIME varchar(20),
CLASS_ROOM varchar(8),
PROF_NUM int
)
CREATE TABLE ENROLL (
CLASS_CODE varchar(5),
STU_NUM int,
ENROLL_GRADE varchar(50)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the first name and GPA of every student that has a GPA lower than average. Show bar chart.
| SELECT STU_FNAME, SUM(STU_GPA) FROM STUDENT WHERE STU_GPA < (SELECT AVG(STU_GPA) FROM STUDENT) GROUP BY STU_FNAME | nvbench |
CREATE TABLE table_49210 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Series" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is High Rebounds, when Location Attendance is 'Madison Square Garden Unknown', and when Date is 'May 18'?
| SELECT "High rebounds" FROM table_49210 WHERE "Location Attendance" = 'madison square garden unknown' AND "Date" = 'may 18' | wikisql |
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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text,
person_info_CSD text,
person_info_CSRQ time,
person_info_GJDM text,
person_info_GJMC text,
person_info_JGDM text,
person_info_JGMC text,
person_info_MZDM text,
person_info_MZMC text,
person_info_XBDM number,
person_info_XBMC text,
person_info_XLDM text,
person_info_XLMC text,
person_info_XM text,
person_info_ZYLBDM text,
person_info_ZYMC 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 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.
-- 患者奚星光在零六年十一月十七日往后有哪些门诊就诊的检验报告单？列出门诊就诊流水号
| SELECT mzjzjlb.JZLSH FROM hz_info JOIN mzjzjlb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE hz_info.person_info_XM = '奚星光' AND NOT mzjzjlb.JZLSH IN (SELECT jybgb.JZLSH FROM jybgb WHERE jybgb.BGRQ <= '2006-11-17') | css |
CREATE TABLE Scientists (
SSN int,
Name Char(30)
)
CREATE TABLE AssignedTo (
Scientist int,
Project char(4)
)
CREATE TABLE Projects (
Code Char(4),
Name Char(50),
Hours int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me a histogram for what are the names of projects that require more than 300 hours, and how many scientists are assigned to each?
| SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project WHERE T1.Hours > 300 GROUP BY T1.Name | nvbench |
CREATE TABLE table_name_85 (
game VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What game was in 2005?
| SELECT game FROM table_name_85 WHERE year = 2005 | sql_create_context |
CREATE TABLE table_48969 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"Location Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the high scorer in the Toronto game?
| SELECT "High points" FROM table_48969 WHERE "Team" = 'toronto' | wikisql |
CREATE TABLE table_1341598_44 (
incumbent VARCHAR,
district VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What incumbent won the district of texas 22?
| SELECT incumbent FROM table_1341598_44 WHERE district = "Texas 22" | 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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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 black/african american and diagnoses short title is acute respiratry failure?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND diagnoses.short_title = "Acute respiratry failure" | mimicsql_data |
CREATE TABLE table_name_51 (
lijsttrekker VARCHAR,
year VARCHAR,
chair VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Lijsttrekker, when Year is after 1990, and when Chair is 'Ingrid Van Engelshoven'?
| SELECT lijsttrekker FROM table_name_51 WHERE year > 1990 AND chair = "ingrid van engelshoven" | sql_create_context |
CREATE TABLE table_15630 (
"Season" text,
"Games" real,
"Lost" real,
"Tied" text,
"Points" real,
"Goals for" real,
"Goals against" real,
"Standing" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many goals have Lost larger than 35, and Games smaller than 80?
| SELECT COUNT("Goals for") FROM table_15630 WHERE "Lost" > '35' AND "Games" < '80' | wikisql |
CREATE TABLE Department_Stores (
dept_store_id INTEGER,
dept_store_chain_id INTEGER,
store_name VARCHAR(80),
store_address VARCHAR(255),
store_phone VARCHAR(80),
store_email VARCHAR(80)
)
CREATE TABLE Customer_Addresses (
customer_id INTEGER,
address_id INTEGER,
date_from DATETIME,
date_to DATETIME
)
CREATE TABLE Customers (
customer_id INTEGER,
payment_method_code VARCHAR(10),
customer_code VARCHAR(20),
customer_name VARCHAR(80),
customer_address VARCHAR(255),
customer_phone VARCHAR(80),
customer_email VARCHAR(80)
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
order_id INTEGER,
product_id INTEGER
)
CREATE TABLE Staff (
staff_id INTEGER,
staff_gender VARCHAR(1),
staff_name VARCHAR(80)
)
CREATE TABLE Departments (
department_id INTEGER,
dept_store_id INTEGER,
department_name VARCHAR(80)
)
CREATE TABLE Suppliers (
supplier_id INTEGER,
supplier_name VARCHAR(80),
supplier_phone VARCHAR(80)
)
CREATE TABLE Product_Suppliers (
product_id INTEGER,
supplier_id INTEGER,
date_supplied_from DATETIME,
date_supplied_to DATETIME,
total_amount_purchased VARCHAR(80),
total_value_purchased DECIMAL(19,4)
)
CREATE TABLE Products (
product_id INTEGER,
product_type_code VARCHAR(10),
product_name VARCHAR(80),
product_price DECIMAL(19,4)
)
CREATE TABLE Department_Store_Chain (
dept_store_chain_id INTEGER,
dept_store_chain_name VARCHAR(80)
)
CREATE TABLE Addresses (
address_id INTEGER,
address_details VARCHAR(255)
)
CREATE TABLE Customer_Orders (
order_id INTEGER,
customer_id INTEGER,
order_status_code VARCHAR(10),
order_date DATETIME
)
CREATE TABLE Staff_Department_Assignments (
staff_id INTEGER,
department_id INTEGER,
date_assigned_from DATETIME,
job_title_code VARCHAR(10),
date_assigned_to DATETIME
)
CREATE TABLE Supplier_Addresses (
supplier_id INTEGER,
address_id INTEGER,
date_from DATETIME,
date_to DATETIME
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the average of price supplied by supplier id 3 for different product type code in a bar chart, I want to show X in desc order.
| SELECT product_type_code, AVG(product_price) FROM Product_Suppliers AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3 GROUP BY product_type_code ORDER BY product_type_code DESC | nvbench |
CREATE TABLE train_station (
Train_ID int,
Station_ID int
)
CREATE TABLE train (
Train_ID int,
Name text,
Time text,
Service text
)
CREATE TABLE station (
Station_ID int,
Name text,
Annual_entry_exit real,
Annual_interchanges real,
Total_Passengers real,
Location text,
Main_Services text,
Number_of_Platforms int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the total number of platforms of locations in each location in a bar chart.
| SELECT Location, SUM(Number_of_Platforms) FROM station GROUP BY Location | nvbench |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Bring the number of patients less than 85 years who have colangitis as their primary disease.
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "COLANGITIS" AND demographic.age < "85" | mimicsql_data |
CREATE TABLE table_79309 (
"Year" real,
"Competition" text,
"Venue" text,
"Position" text,
"Notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What were the notes in 2011?
| SELECT "Notes" FROM table_79309 WHERE "Year" = '2011' | wikisql |
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE 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 lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the difference of weight last measured on the first hospital visit compared to the second to last value measured on the first hospital visit of patient 006-161415?
| SELECT (SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-161415' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) AND NOT patient.admissionweight IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) - (SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-161415' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) AND NOT patient.admissionweight IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1 OFFSET 1) | eicu |
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 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_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 mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM 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 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01248413这个病人患有精神抑郁症，611743检测指标的结果定量是什么？对应的单位呢
| SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN mzjzjlb_jybgb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = mzjzjlb_jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH WHERE mzjzjlb.JZZDSM = '精神抑郁症' AND hz_info.RYBH = '01248413' AND jyjgzbb.JCZBDM = '611743' | css |
CREATE TABLE hz_info_mzjzjlb (
JZLSH number,
YLJGDM number,
mzjzjlb_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,
ZSEBZ number,
ZZBZ number,
ZZYSGH text,
mzjzjlb_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,
YLJGDM text,
YQBH text,
YQMC 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
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM 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.
-- 患者90065090为帕金森病性痴呆(震颤麻痹性痴呆)，门诊诊断的免疫球蛋白M(敏感)的结果定量及其单位分别是什么？
| SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN hz_info_mzjzjlb ON hz_info.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND hz_info_mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.mzjzjlb_id = mzjzjlb.mzjzjlb_id WHERE mzjzjlb.JZZDSM = '帕金森病性痴呆(震颤麻痹性痴呆)' AND hz_info.RYBH = '90065090' AND jyjgzbb.JCZBMC = '免疫球蛋白M(敏感)' | css |
CREATE TABLE table_19851 (
"Category" text,
"Type" text,
"Attribute" text,
"Description" text,
"Bubbles" text,
"Cancelable" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the attributes when the type is 'DOMNodeRemoved'?
| SELECT "Attribute" FROM table_19851 WHERE "Type" = 'DOMNodeRemoved' | wikisql |
CREATE TABLE table_65238 (
"Title" text,
"Series" text,
"Characters" text,
"Production Num." real,
"Release date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the smallest production number for the LT series with the Dumb Patrol title?
| SELECT MIN("Production Num.") FROM table_65238 WHERE "Series" = 'lt' AND "Title" = 'dumb patrol' | wikisql |
CREATE TABLE table_204_394 (
id number,
"year" number,
"album" text,
"label" text,
"peak chart\npositions\nus" number,
"peak chart\npositions\nus r&b" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- first album released
| SELECT "album" FROM table_204_394 ORDER BY "year" LIMIT 1 | squall |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is diagnoses short title of subject name jane dillard?
| SELECT diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Jane Dillard" | mimicsql_data |
CREATE TABLE table_22666 (
"Doctor" text,
"Season" text,
"Story no." text,
"Serial" text,
"Number of episodes" text,
"Total footage remaining from missing episodes (mm:ss)" text,
"Missing episodes with recovered footage" text,
"Country/Territory" text,
"Source" text,
"Format" text,
"Total footage (mm:ss)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When 00:02 is the total footage (mm:ss) what is the story number?
| SELECT "Story no." FROM table_22666 WHERE "Total footage (mm:ss)" = '00:02' | wikisql |
CREATE TABLE table_204_420 (
id number,
"month" text,
"song" text,
"artist" text,
"aggregate points" number,
"total downloads" number,
"year-end chart" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what artist previous to july made blue ?
| SELECT "artist" FROM table_204_420 WHERE "month" < 7 AND "song" = '"blue"' | squall |
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 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
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 对应的患者姓名在门诊就诊中开出的检验报告单99312004581上是什么？
| SELECT person_info.XM FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb 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 WHERE jybgb.BGDH = '99312004581' | css |
CREATE TABLE table_34625 (
"Award" text,
"Year" real,
"Category" text,
"Work" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many years have an Award of press award?
| SELECT COUNT("Year") FROM table_34625 WHERE "Award" = 'press award' | 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Specify the number of patients who had a family history of other specified malignant neoplasm that were treated with base drug
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Family history of other specified malignant neoplasm" AND prescriptions.drug_type = "BASE" | mimicsql_data |
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 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 hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH 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 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 过去83460162患者有过什么门诊诊断？
| SELECT mzjzjlb.JZZDBM, mzjzjlb.JZZDSM FROM hz_info JOIN mzjzjlb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE hz_info.RYBH = '83460162' | css |
CREATE TABLE table_name_1 (
morse_taper_number INTEGER,
d__max_ VARCHAR,
b__max_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the total of the Morse Taper number when the D (max) is 20 and the B (max) greater than 94?
| SELECT SUM(morse_taper_number) FROM table_name_1 WHERE d__max_ = 20 AND b__max_ > 94 | sql_create_context |
CREATE TABLE table_58824 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What player has t7 as the place, with tje United States as the country?
| SELECT "Player" FROM table_58824 WHERE "Place" = 't7' AND "Country" = 'united states' | 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 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose year of birth is less than 2065 and procedure icd9 code is 9604?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2065" AND procedures.icd9_code = "9604" | mimicsql_data |
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 person_info_hz_info (
RYBH text,
KH number,
KLX number,
YLJGDM 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 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 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 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,
YLJGDM text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 从06年7月29日至14年1月26日之间患者陈怡宁所有检验结果指标记录中的仪器名称都叫什么？编号都是什么？
| SELECT jyjgzbb.YQBH, jyjgzbb.YQMC FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN person_info_hz_info ON person_info.RYBH = person_info_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 = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX WHERE person_info.XM = '陈怡宁' AND jyjgzbb.JYRQ BETWEEN '2006-07-29' AND '2014-01-26' UNION SELECT jyjgzbb.YQBH, jyjgzbb.YQMC FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb JOIN person_info_hz_info ON person_info.RYBH = person_info_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 = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX WHERE person_info.XM = '陈怡宁' AND jyjgzbb.JYRQ BETWEEN '2006-07-29' AND '2014-01-26' | css |
CREATE TABLE table_name_44 (
results VARCHAR,
choreographer VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Result of the dance Choreographed by Kelly Aykers?
| SELECT results FROM table_name_44 WHERE choreographer = "kelly aykers" | sql_create_context |
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount 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 d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
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 microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name 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 procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
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 transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- had patient 27392 given a lab test of total protein, body fluid in 2105?
| SELECT COUNT(*) > 0 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'total protein, body fluid') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 27392) AND STRFTIME('%y', labevents.charttime) = '2105' | mimic_iii |
CREATE TABLE table_name_57 (
winning_score VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Winning score in 1956?
| SELECT winning_score FROM table_name_57 WHERE year = 1956 | sql_create_context |
CREATE TABLE trust (
source_u_id integer,
target_u_id integer,
trust integer
)
CREATE TABLE review (
a_id integer,
u_id integer,
i_id integer,
rating integer,
rank integer
)
CREATE TABLE useracct (
u_id integer,
name varchar(128)
)
CREATE TABLE item (
i_id integer,
title varchar(20)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For each user, find their name and the number of reviews written by them Show bar chart, and I want to list by the names from low to high.
| SELECT name, COUNT(*) FROM useracct AS T1 JOIN review AS T2 ON T1.u_id = T2.u_id GROUP BY T2.u_id ORDER BY name | nvbench |
CREATE TABLE table_14047 (
"Polling firm" text,
"Dates" text,
"Prog. Cons." text,
"New Democratic" text,
"Liberal" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which firm conducted a poll in August 2006?
| SELECT "Polling firm" FROM table_14047 WHERE "Dates" = 'august 2006' | wikisql |
CREATE TABLE table_33994 (
"Artist" text,
"Title" text,
"Release date" text,
"Format" text,
"Cat. #" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the category number that was released in November 2007?
| SELECT "Cat. #" FROM table_33994 WHERE "Release date" = 'november 2007' | wikisql |
CREATE TABLE table_name_80 (
declination___j2000__ VARCHAR,
ngc_number INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tell me the declination with NGC number larger than 5750
| SELECT declination___j2000__ FROM table_name_80 WHERE ngc_number > 5750 | sql_create_context |
CREATE TABLE table_name_21 (
round INTEGER,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the lowest round for Paul Hubbard?
| SELECT MIN(round) FROM table_name_21 WHERE name = "paul hubbard" | sql_create_context |
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- is there ground transportation from the DFW airport to downtown DALLAS
| SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = airport_service.city_code AND CITY_1.city_name = 'DALLAS' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_0.city_code | atis |
CREATE TABLE table_24725 (
"Year" real,
"Film" text,
"Budget" text,
"Domestic Box Office" text,
"Foreign Box Office" text,
"Total" text,
"US DVD sales" text,
"Total (with DVD sales)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the budget for 'Thirteen Ghosts'?
| SELECT "Budget" FROM table_24725 WHERE "Film" = 'Thirteen Ghosts' | wikisql |
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about department_id over the last_name by a bar chart.
| SELECT LAST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | nvbench |
CREATE TABLE table_1342149_11 (
result VARCHAR,
incumbent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result of the election when Tic Forrester ran as an incumbent?
| SELECT result FROM table_1342149_11 WHERE incumbent = "Tic Forrester" | sql_create_context |
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Count the number of people of each sex who have a weight higher than 85, I want to sort by the Y in desc.
| SELECT Sex, COUNT(*) FROM people WHERE Weight > 85 GROUP BY Sex ORDER BY COUNT(*) DESC | nvbench |
CREATE TABLE table_42428 (
"Year" real,
"Venue" text,
"Winning team" text,
"Score" text,
"USA Captain" text,
"Europe Captain" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When the USA's captain was Beth Daniel, who was the winning team?
| SELECT "Winning team" FROM table_42428 WHERE "USA Captain" = 'beth daniel' | wikisql |
CREATE TABLE table_61864 (
"Pick" real,
"Player" text,
"Team" text,
"Position" text,
"Hometown/School" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT PLAYER HAS THE OAKLAND ATHLETICS?
| SELECT "Player" FROM table_61864 WHERE "Team" = 'oakland athletics' | wikisql |
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
)
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 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者谢婉慧在二000年七月二十六日到二0一三年十二月三十一日期间，最常找的医生是哪位
| SELECT qtb.OUT_DIAG_DOC_CD, qtb.OUT_DIAG_DOC_NM FROM qtb WHERE qtb.PERSON_NM = '谢婉慧' AND qtb.IN_HOSP_DATE BETWEEN '2000-07-26' AND '2013-12-31' GROUP BY qtb.OUT_DIAG_DOC_CD ORDER BY COUNT(*) DESC LIMIT 1 UNION SELECT gyb.OUT_DIAG_DOC_CD, gyb.OUT_DIAG_DOC_NM FROM gyb WHERE gyb.PERSON_NM = '谢婉慧' AND gyb.IN_HOSP_DATE BETWEEN '2000-07-26' AND '2013-12-31' GROUP BY gyb.OUT_DIAG_DOC_CD ORDER BY COUNT(*) DESC LIMIT 1 UNION SELECT zyb.OUT_DIAG_DOC_CD, zyb.OUT_DIAG_DOC_NM FROM zyb WHERE zyb.PERSON_NM = '谢婉慧' AND zyb.IN_HOSP_DATE BETWEEN '2000-07-26' AND '2013-12-31' GROUP BY zyb.OUT_DIAG_DOC_CD ORDER BY COUNT(*) DESC LIMIT 1 UNION SELECT mzb.OUT_DIAG_DOC_CD, mzb.OUT_DIAG_DOC_NM FROM mzb WHERE mzb.PERSON_NM = '谢婉慧' AND mzb.IN_HOSP_DATE BETWEEN '2000-07-26' AND '2013-12-31' GROUP BY mzb.OUT_DIAG_DOC_CD ORDER BY COUNT(*) DESC LIMIT 1 | css |
CREATE TABLE table_59661 (
"Name" text,
"Residence" text,
"Party" text,
"Years in Assembly" text,
"Years in Senate" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Party has Years in Senate of , and Years in Assembly of 2012 present?
| SELECT "Party" FROM table_59661 WHERE "Years in Senate" = '—' AND "Years in Assembly" = '2012–present' | wikisql |
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
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
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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 chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
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 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- indicate the daily maximum amount of arterial bp mean for patient 4469 since 08/18/2100.
| SELECT MAX(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4469)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') AND STRFTIME('%y-%m-%d', chartevents.charttime) >= '2100-08-18' GROUP BY STRFTIME('%y-%m-%d', chartevents.charttime) | mimic_iii |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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.
-- which patients have lab test item id 51221?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.itemid = "51221" | mimicsql_data |
Subsets and Splits