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stringlengths 11
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| question
stringlengths 0
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stringlengths 2
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|---|---|---|---|
CREATE TABLE table_27146868_1 (
Id VARCHAR
) | What is 2003 when 1999 is 2.1? | SELECT 2003 FROM table_27146868_1 WHERE 1999 = "2.1" | sql_create_context |
CREATE TABLE table_name_56 (
competition VARCHAR,
town VARCHAR,
opponent VARCHAR
) | what is the competition played in budva against italy? | SELECT competition FROM table_name_56 WHERE town = "budva" AND opponent = "italy" | sql_create_context |
CREATE TABLE table_1213511_7 (
pick__number VARCHAR,
nhl_team VARCHAR
) | what is the total number of pick # where nhl team is philadelphia flyers | SELECT COUNT(pick__number) FROM table_1213511_7 WHERE nhl_team = "Philadelphia Flyers" | 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_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
)
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
) | 能知道团伙成员83857179最常去的医院排序吗 | SELECT MED_SER_ORG_NO FROM t_kc21 WHERE PERSON_ID = '83857179' GROUP BY MED_SER_ORG_NO ORDER BY COUNT(*) DESC | css |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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
) | what is minimum age of patients whose insurance is self pay and primary disease is left colon cancer? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.insurance = "Self Pay" AND demographic.diagnosis = "LEFT COLON CANCER" | mimicsql_data |
CREATE TABLE table_69698 (
"Name" text,
"Championship" real,
"League Cup" real,
"FA Cup" real,
"Total" real
) | How many FA cups for the player with under 5 champs, 0 league cups, and over 3 total? | SELECT SUM("FA Cup") FROM table_69698 WHERE "Championship" < '5' AND "League Cup" = '0' AND "Total" > '3' | wikisql |
CREATE TABLE table_30338 (
"No. in series" real,
"Title" text,
"Directed by" text,
"Story & Storyboards by" text,
"Original air date" text,
"U.S. viewers (millions)" text
) | What's the title of the episode with series number 36? | SELECT "Title" FROM table_30338 WHERE "No. in series" = '36' | 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 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
) | what is average age of patients whose primary disease is hypoxia and age is greater than or equal to 80? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "HYPOXIA" AND demographic.age >= "80" | mimicsql_data |
CREATE TABLE table_name_22 (
date VARCHAR,
home VARCHAR
) | What is the Date, when the home team is the NY Rangers? | SELECT date FROM table_name_22 WHERE home = "ny rangers" | sql_create_context |
CREATE TABLE table_78650 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To Par" real,
"Money ( $ )" text
) | What was the score for t9 place for Harold Mcspaden? | SELECT "Score" FROM table_78650 WHERE "Place" = 't9' AND "Player" = 'harold mcspaden' | wikisql |
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 cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
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 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
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
) | what are the five most frequently ordered procedures for patients that have previously been diagnosed with splenic trauma - with hematoma within 2 months in a year before? | SELECT t3.treatmentname FROM (SELECT t2.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'splenic trauma - with hematoma' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmentname, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.treatmenttime AND DATETIME(t2.treatmenttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') GROUP BY t2.treatmentname) AS t3 WHERE t3.c1 <= 5 | eicu |
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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE 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 cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
) | what was the last value of a lab test of mpv when they came to the hospital first time for patient 022-163354? | SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-163354' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND lab.labname = 'mpv' ORDER BY lab.labresulttime DESC LIMIT 1 | eicu |
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 fgwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE gwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_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
) | 医疗机构1368313在两千年二月二十二日到零五年十一月三日的这段时间里哪26个科室的统筹金额消耗最多 | SELECT gwyjzb.MED_ORG_DEPT_CD, gwyjzb.MED_ORG_DEPT_NM FROM gwyjzb JOIN t_kc24 ON gwyjzb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE gwyjzb.MED_SER_ORG_NO = '1368313' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2000-02-22' AND '2005-11-03' GROUP BY gwyjzb.MED_ORG_DEPT_CD ORDER BY SUM(t_kc24.OVE_PAY) DESC LIMIT 26 UNION SELECT fgwyjzb.MED_ORG_DEPT_CD, fgwyjzb.MED_ORG_DEPT_NM FROM fgwyjzb JOIN t_kc24 ON fgwyjzb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE fgwyjzb.MED_SER_ORG_NO = '1368313' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2000-02-22' AND '2005-11-03' GROUP BY fgwyjzb.MED_ORG_DEPT_CD ORDER BY SUM(t_kc24.OVE_PAY) DESC LIMIT 26 | css |
CREATE TABLE table_77739 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | What did the away team score when playing North Melbourne? | SELECT "Away team score" FROM table_77739 WHERE "Home team" = 'north melbourne' | wikisql |
CREATE TABLE table_14222 (
"T-35" text,
"T-100" text,
"KV-1 M1940" text,
"KV-1 M1941" text,
"KV-1 M1942" text,
"KV-1S M1942" text,
"KV-85 M1943" text,
"IS-2 M1945" text,
"IS-3 M1945" text
) | What's the IS-3 when the KV-1S is 45? | SELECT "IS-3 M1945" FROM table_14222 WHERE "KV-1S M1942" = '45' | wikisql |
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
) | when did patient 017-88691 have the last systemicmean to be less than 91.0 since 12/31/2105? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-88691')) AND vitalperiodic.systemicmean < 91.0 AND NOT vitalperiodic.systemicmean IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) >= '2105-12-31' ORDER BY vitalperiodic.observationtime DESC LIMIT 1 | eicu |
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
) | For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the average of price , and group by attribute name, could you show in descending by the the average of price please? | SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Price DESC | nvbench |
CREATE TABLE table_55047 (
"Name" text,
"Model" text,
"Park" text,
"Opened" text,
"Status" text
) | What is the status of the junior coaster model that opened in 2008? | SELECT "Status" FROM table_55047 WHERE "Opened" = '2008' AND "Model" = 'junior coaster' | wikisql |
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 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 month (
month_number int,
month_name text
)
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_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
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 restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code 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 food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
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 airline (
airline_code varchar,
airline_name text,
note 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
) | show me flights from FORT WORTH to SAN JOSE | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'FORT WORTH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN JOSE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | atis |
CREATE TABLE table_name_60 (
years INTEGER,
tied VARCHAR,
total_games VARCHAR
) | What is the average number of years associated with 51 games tied and over 1184 total games? | SELECT AVG(years) FROM table_name_60 WHERE tied = 51 AND total_games > 1184 | sql_create_context |
CREATE TABLE table_15872814_3 (
score VARCHAR,
team VARCHAR
) | Name the score for washington | SELECT score FROM table_15872814_3 WHERE team = "Washington" | sql_create_context |
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress 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 PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskStates (
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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
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 ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
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 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 PostTags (
PostId number,
TagId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostTypes (
Id number,
Name text
) | Top 2500 SO Users from Germany. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation, Location FROM Users WHERE LOWER(Location) LIKE '%deutschland%' OR LOWER(Location) LIKE '%germany%' ORDER BY Reputation DESC LIMIT 2500 | sede |
CREATE TABLE table_203_758 (
id number,
"no." number,
"dub no." number,
"english dubbed title / english subbed title\noriginal japanese title" text,
"original air date" text,
"english air date" text
) | how many episodes aired originally but not in english ? | SELECT COUNT("english dubbed title / english subbed title\noriginal japanese title") FROM table_203_758 WHERE NOT "original air date" IS NULL AND "english air date" IS NULL | squall |
CREATE TABLE table_name_52 (
surface VARCHAR,
opponent_in_the_final VARCHAR,
year VARCHAR
) | Which Surface has an Opponent in the final of don mcneill, and a Year of 1940? | SELECT surface FROM table_name_52 WHERE opponent_in_the_final = "don mcneill" AND year = 1940 | sql_create_context |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) | give me the number of patients whose admission type is emergency and insurance is medicaid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.insurance = "Medicaid" | mimicsql_data |
CREATE TABLE table_25208 (
"Year" text,
"Date" text,
"Driver" text,
"Team" text,
"Manufacturer" text,
"Laps" text,
"Miles (km)" text,
"Race time" text,
"Average speed (mph)" text,
"Report" text
) | Name the report for 2003 | SELECT "Report" FROM table_25208 WHERE "Year" = '2003' | wikisql |
CREATE TABLE table_name_87 (
score VARCHAR
) | What score has 15.0% as the 2012? | SELECT score FROM table_name_87 WHERE 2012 = "15.0%" | sql_create_context |
CREATE TABLE journalist (
journalist_ID int,
Name text,
Nationality text,
Age text,
Years_working int
)
CREATE TABLE news_report (
journalist_ID int,
Event_ID int,
Work_Type text
)
CREATE TABLE event (
Event_ID int,
Date text,
Venue text,
Name text,
Event_Attendance int
) | Visualize a bar chart, count and group by nationality from the journalist table, list X in descending order please. | SELECT Nationality, COUNT(Nationality) FROM journalist GROUP BY Nationality ORDER BY Nationality DESC | nvbench |
CREATE TABLE table_name_41 (
visiting_team VARCHAR,
date VARCHAR
) | Who was the visiting team that played on September 15? | SELECT visiting_team FROM table_name_41 WHERE date = "september 15" | sql_create_context |
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 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 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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE fzzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
) | 从2011年6月6到2021年10月25日，7702859这个医疗机构的新生儿门诊的就诊记录有多少 | SELECT COUNT(*) FROM zzmzjzjlb WHERE zzmzjzjlb.YLJGDM = '7702859' AND zzmzjzjlb.JZKSRQ BETWEEN '2011-06-06' AND '2021-10-25' AND zzmzjzjlb.ZSEBZ > 0 UNION SELECT COUNT(*) FROM fzzmzjzjlb WHERE fzzmzjzjlb.YLJGDM = '7702859' AND fzzmzjzjlb.JZKSRQ BETWEEN '2011-06-06' AND '2021-10-25' AND fzzmzjzjlb.ZSEBZ > 0 | css |
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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
) | For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about commission_pct over the phone_number , display by the x axis in asc. | SELECT PHONE_NUMBER, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER | nvbench |
CREATE TABLE table_52747 (
"Date" text,
"Visiting Team" text,
"Final Score" text,
"Host Team" text,
"Stadium" text
) | Who was the visiting team in the game against the Dallas Cowboys? | SELECT "Visiting Team" FROM table_52747 WHERE "Host Team" = 'dallas cowboys' | wikisql |
CREATE TABLE table_78030 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | What is the average crowd size of the away team who scored 9.6 (60)? | SELECT AVG("Crowd") FROM table_78030 WHERE "Away team score" = '9.6 (60)' | wikisql |
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_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_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
) | 13年3月8日到21年5月12日，医疗机构4227077的检查费总额是多少 | SELECT SUM(t_kc22.AMOUNT) FROM t_kc21 JOIN t_kc22 JOIN t_kc21_t_kc22 ON t_kc21.MED_CLINIC_ID = t_kc21_t_kc22.MED_CLINIC_ID AND t_kc21_t_kc22.MED_EXP_DET_ID = t_kc22.MED_EXP_DET_ID WHERE t_kc21.MED_SER_ORG_NO = '4227077' AND t_kc22.STA_DATE BETWEEN '2013-03-08' AND '2021-05-12' AND t_kc22.MED_INV_ITEM_TYPE = '检查费' | css |
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress 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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
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 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 PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskTypes (
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
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 Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
) | Number of active users last month. | SELECT COUNT(*) AS ActiveUsersLastMonth FROM Users WHERE LastAccessDate >= DATEADD(month, -1, (SELECT MAX(LastAccessDate) FROM Users)) | sede |
CREATE TABLE table_name_34 (
status VARCHAR,
name VARCHAR
) | What is the status of the Cub/John locomotive? | SELECT status FROM table_name_34 WHERE name = "the cub/john" | sql_create_context |
CREATE TABLE Product_Characteristics (
product_id INTEGER,
characteristic_id INTEGER,
product_characteristic_value VARCHAR(50)
)
CREATE TABLE Ref_Characteristic_Types (
characteristic_type_code VARCHAR(15),
characteristic_type_description VARCHAR(80)
)
CREATE TABLE Characteristics (
characteristic_id INTEGER,
characteristic_type_code VARCHAR(15),
characteristic_data_type VARCHAR(10),
characteristic_name VARCHAR(80),
other_characteristic_details VARCHAR(255)
)
CREATE TABLE Ref_Colors (
color_code VARCHAR(15),
color_description VARCHAR(80)
)
CREATE TABLE Products (
product_id INTEGER,
color_code VARCHAR(15),
product_category_code VARCHAR(15),
product_name VARCHAR(80),
typical_buying_price VARCHAR(20),
typical_selling_price VARCHAR(20),
product_description VARCHAR(255),
other_product_details VARCHAR(255)
)
CREATE TABLE Ref_Product_Categories (
product_category_code VARCHAR(15),
product_category_description VARCHAR(80),
unit_of_measure VARCHAR(20)
) | A bar chart for what are the number of the descriptions of the categories that products with product descriptions that contain the letter t are in? | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description | nvbench |
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 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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE 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)
) | For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the sum of manager_id bin hire_date by weekday, could you sort in asc by the total number? | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(MANAGER_ID) | nvbench |
CREATE TABLE table_43257 (
"Season" text,
"Staffel A" text,
"Staffel B" text,
"Staffel C" text,
"Staffel D" text,
"Staffel E" text
) | What is the Staffel B that has Hallescher Fc Chemie as Staffel C? | SELECT "Staffel B" FROM table_43257 WHERE "Staffel C" = 'hallescher fc chemie' | wikisql |
CREATE TABLE table_name_86 (
college VARCHAR,
pick__number VARCHAR
) | Which college has 41 picks? | SELECT college FROM table_name_86 WHERE pick__number = 41 | sql_create_context |
CREATE TABLE table_204_104 (
id number,
"title" text,
"genre" text,
"sub\u00addivisions" text,
"libretto" text,
"premiere date" text,
"place, theatre" text,
"notes" text
) | l'inganno innocente premiered in 1701 . what was the previous title released ? | SELECT "title" FROM table_204_104 WHERE "premiere date" < (SELECT "premiere date" FROM table_204_104 WHERE "title" = "l'inganno innocente") ORDER BY "premiere date" DESC LIMIT 1 | squall |
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE 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 intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime 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
) | what are the top four most frequent procedures that patients received within the same hospital visit after they were diagnosed with av block in 2105? | SELECT t3.treatmentname FROM (SELECT t2.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'av block' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105') AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmentname, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', treatment.treatmenttime) = '2105') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.treatmenttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.treatmentname) AS t3 WHERE t3.c1 <= 4 | eicu |
CREATE TABLE table_64821 (
"Name (pinyin)" text,
"Name (Wade Giles)" text,
"Characters" text,
"Type" text,
"Construction" text
) | which Construction is named heng-hai? | SELECT "Construction" FROM table_64821 WHERE "Name (Wade Giles)" = 'heng-hai' | wikisql |
CREATE TABLE table_16388506_1 (
home_team VARCHAR,
away_team VARCHAR
) | What are the home team scores when fremantle is the away team? | SELECT home_team AS score FROM table_16388506_1 WHERE away_team = "Fremantle" | sql_create_context |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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
) | How many of the patients belonging to white russian ethnic origin were married? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.ethnicity = "WHITE - RUSSIAN" | mimicsql_data |
CREATE TABLE table_name_29 (
commissioned VARCHAR,
nvr_page VARCHAR
) | What is the Commissioned date of the ship in NVR Page MCM02? | SELECT commissioned FROM table_name_29 WHERE nvr_page = "mcm02" | sql_create_context |
CREATE TABLE table_name_89 (
csa_5_20_09 VARCHAR,
ifop__la_croix_5_15_09 VARCHAR
) | Which Ipsos 5/16/09 has an Ifop- La Croix 5/15/09 of 26%? | SELECT csa_5_20_09 FROM table_name_89 WHERE ifop__la_croix_5_15_09 = "26%" | sql_create_context |
CREATE TABLE instruments (
songid number,
bandmateid number,
instrument text
)
CREATE TABLE performance (
songid number,
bandmate number,
stageposition text
)
CREATE TABLE songs (
songid number,
title text
)
CREATE TABLE band (
id number,
firstname text,
lastname text
)
CREATE TABLE tracklists (
albumid number,
position number,
songid number
)
CREATE TABLE vocals (
songid number,
bandmate number,
type text
)
CREATE TABLE albums (
aid number,
title text,
year number,
label text,
type text
) | Find the number of bands. | SELECT COUNT(*) FROM band | spider |
CREATE TABLE table_name_34 (
season INTEGER,
team VARCHAR,
series VARCHAR
) | What is the most recent season for the Prema Powerteam with a Masters of Formula Three series? | SELECT MAX(season) FROM table_name_34 WHERE team = "prema powerteam" AND series = "masters of formula three" | sql_create_context |
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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH 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_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 (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
) | 在69277979003这次医疗就诊中，袁姓检测人负责的所有检测指标名称是什么？结果定量与结果定量单位分别是什么 | SELECT jyjgzbb.JCZBMC, jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM jybgb JOIN jyjgzbb ON jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jybgb.JZLSH = '69277979003' AND jyjgzbb.JCRXM LIKE '袁%' | css |
CREATE TABLE table_name_40 (
lead VARCHAR,
season VARCHAR
) | Which lead had a season of 2009-10? | SELECT lead FROM table_name_40 WHERE season = "2009-10" | sql_create_context |
CREATE TABLE table_name_51 (
current_club VARCHAR,
apps VARCHAR,
debut_year VARCHAR
) | What is the current club with more than 368 apps and a debut year earlier than 1994? | SELECT current_club FROM table_name_51 WHERE apps > 368 AND debut_year < 1994 | sql_create_context |
CREATE TABLE table_name_30 (
long INTEGER,
name VARCHAR
) | What is the sum of Long for derrick locke? | SELECT SUM(long) FROM table_name_30 WHERE name = "derrick locke" | sql_create_context |
CREATE TABLE table_name_25 (
manufacturer VARCHAR,
grid VARCHAR
) | Which manufacturer has a grid of 6? | SELECT manufacturer FROM table_name_25 WHERE grid = "6" | sql_create_context |
CREATE TABLE table_11667 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Attendance" real,
"Record" text
) | How many attended the game with a Record of 21 22 2? | SELECT COUNT("Attendance") FROM table_11667 WHERE "Record" = '21–22–2' | wikisql |
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
) | Which courses are prerequisite to taking GEOSCI 109 ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND NOT COURSE_0.course_id IN (SELECT STUDENT_RECORDalias0.course_id FROM student_record AS STUDENT_RECORDalias0 WHERE STUDENT_RECORDalias0.student_id = 1) AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'GEOSCI' AND COURSE_1.number = 109 | advising |
CREATE TABLE table_11465521_2 (
opponent VARCHAR,
attendance VARCHAR
) | How many opponents were there at the game with 64,087 people in attendance? | SELECT COUNT(opponent) FROM table_11465521_2 WHERE attendance = "64,087" | sql_create_context |
CREATE TABLE table_47797 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
) | What is the Place of the Player from Zimbabwe? | SELECT "Place" FROM table_47797 WHERE "Country" = 'zimbabwe' | wikisql |
CREATE TABLE table_name_52 (
points_for VARCHAR,
tries_for VARCHAR,
try_bonus VARCHAR
) | How many points did the Club score that has a try bonus of 7 and 52 tries for ? | SELECT points_for FROM table_name_52 WHERE tries_for = "52" AND try_bonus = "7" | sql_create_context |
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 qtb (
CLINIC_ID text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE 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 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 t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
) | 医疗费总额与医疗就诊03425240816相同的医疗就诊记录有哪些呢？查出这些记录的ID、人员ID、人员姓名、公民身份号码、人员性别、人员年龄 | SELECT qtb.MED_CLINIC_ID, qtb.PERSON_ID, qtb.PERSON_NM, qtb.IDENTITY_CARD, qtb.PERSON_SEX, qtb.PERSON_AGE FROM qtb JOIN t_kc24 ON qtb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE t_kc24.MED_AMOUT = (SELECT t_kc24.MED_AMOUT FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID = '03425240816') UNION SELECT gyb.MED_CLINIC_ID, gyb.PERSON_ID, gyb.PERSON_NM, gyb.IDENTITY_CARD, gyb.PERSON_SEX, gyb.PERSON_AGE FROM gyb JOIN t_kc24 ON gyb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE t_kc24.MED_AMOUT = (SELECT t_kc24.MED_AMOUT FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID = '03425240816') UNION SELECT zyb.MED_CLINIC_ID, zyb.PERSON_ID, zyb.PERSON_NM, zyb.IDENTITY_CARD, zyb.PERSON_SEX, zyb.PERSON_AGE FROM zyb JOIN t_kc24 ON zyb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE t_kc24.MED_AMOUT = (SELECT t_kc24.MED_AMOUT FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID = '03425240816') UNION SELECT mzb.MED_CLINIC_ID, mzb.PERSON_ID, mzb.PERSON_NM, mzb.IDENTITY_CARD, mzb.PERSON_SEX, mzb.PERSON_AGE FROM mzb JOIN t_kc24 ON mzb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE t_kc24.MED_AMOUT = (SELECT t_kc24.MED_AMOUT FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID = '03425240816') | css |
CREATE TABLE table_73139 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Result" text,
"Candidates" text
) | Name the result for new york 8 | SELECT "Result" FROM table_73139 WHERE "District" = 'New York 8' | wikisql |
CREATE TABLE table_name_2 (
attendance INTEGER,
home VARCHAR
) | What is the average attendance for matches where the home team was vida? | SELECT AVG(attendance) FROM table_name_2 WHERE home = "vida" | sql_create_context |
CREATE TABLE table_name_74 (
dist__f_ INTEGER,
odds VARCHAR,
placing VARCHAR
) | Name the highest Dist (f) with Odds of 11/4 and a Placing larger than 1? | SELECT MAX(dist__f_) FROM table_name_74 WHERE odds = "11/4" AND placing > 1 | sql_create_context |
CREATE TABLE Detention (
detention_id INTEGER,
detention_type_code VARCHAR(10),
teacher_id INTEGER,
datetime_detention_start DATETIME,
datetime_detention_end DATETIME,
detention_summary VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Incident_Type (
incident_type_code VARCHAR(10),
incident_type_description VARCHAR(80)
)
CREATE TABLE Teachers (
teacher_id INTEGER,
address_id INTEGER,
first_name VARCHAR(80),
middle_name VARCHAR(80),
last_name VARCHAR(80),
gender VARCHAR(1),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Detention_Type (
detention_type_code VARCHAR(10),
detention_type_description VARCHAR(80)
)
CREATE TABLE Assessment_Notes (
notes_id INTEGER,
student_id INTEGER,
teacher_id INTEGER,
date_of_notes DATETIME,
text_of_notes VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Address_Types (
address_type_code VARCHAR(15),
address_type_description VARCHAR(80)
)
CREATE TABLE Students_in_Detention (
student_id INTEGER,
detention_id INTEGER,
incident_id INTEGER
)
CREATE TABLE Student_Addresses (
student_id INTEGER,
address_id INTEGER,
date_address_from DATETIME,
date_address_to DATETIME,
monthly_rental DECIMAL(19,4),
other_details VARCHAR(255)
)
CREATE TABLE Addresses (
address_id INTEGER,
line_1 VARCHAR(120),
line_2 VARCHAR(120),
line_3 VARCHAR(120),
city VARCHAR(80),
zip_postcode VARCHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50),
other_address_details VARCHAR(255)
)
CREATE TABLE Students (
student_id INTEGER,
address_id INTEGER,
first_name VARCHAR(80),
middle_name VARCHAR(40),
last_name VARCHAR(40),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
date_first_rental DATETIME,
date_left_university DATETIME,
other_student_details VARCHAR(255)
)
CREATE TABLE Behavior_Incident (
incident_id INTEGER,
incident_type_code VARCHAR(10),
student_id INTEGER,
date_incident_start DATETIME,
date_incident_end DATETIME,
incident_summary VARCHAR(255),
recommendations VARCHAR(255),
other_details VARCHAR(255)
) | Visualize a bar chart about the distribution of date_address_from and the amount of date_address_from bin date_address_from by time. | SELECT date_address_from, COUNT(date_address_from) FROM Student_Addresses ORDER BY monthly_rental DESC | nvbench |
CREATE TABLE table_1299 (
"Country" text,
"Uranium required 2006-08" text,
"% of world demand" text,
"Indigenous mining production 2006" text,
"Deficit (-surplus)" text
) | What is the deficit (-surplus) of France? | SELECT "Deficit (-surplus)" FROM table_1299 WHERE "Country" = 'France' | wikisql |
CREATE TABLE table_name_35 (
avg_g INTEGER,
gain VARCHAR
) | With a gain of 1,380, what is the highest Avg/G? | SELECT MAX(avg_g) FROM table_name_35 WHERE gain = 1 OFFSET 380 | sql_create_context |
CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches NUMERIC,
mean_sea_level_pressure_inches NUMERIC,
min_sea_level_pressure_inches NUMERIC,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches INTEGER,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code INTEGER
)
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
) | Find the ids and names of stations from which at least 200 trips started, and list y-axis in descending order please. | SELECT start_station_name, start_station_id FROM trip ORDER BY start_station_id DESC | nvbench |
CREATE TABLE table_42549 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent in the final" text,
"Score" text
) | What is the Score for 09-oct-2006? | SELECT "Score" FROM table_42549 WHERE "Date" = '09-oct-2006' | wikisql |
CREATE TABLE table_12095519_1 (
train_name VARCHAR,
origin VARCHAR
) | How many trains leave from puri? | SELECT COUNT(train_name) FROM table_12095519_1 WHERE origin = "Puri" | sql_create_context |
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
)
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
) | How many patients with item id 51438 were married? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab.itemid = "51438" | mimicsql_data |
CREATE TABLE table_12828723_3 (
tries_against VARCHAR,
tries_for VARCHAR
) | what's the tries against with tries for being 47 | SELECT tries_against FROM table_12828723_3 WHERE tries_for = "47" | sql_create_context |
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
) | For those employees who do not work in departments with managers that have ids between 100 and 200, find hire_date and the average of manager_id bin hire_date by time, and visualize them by a bar chart, and could you sort Y-axis in ascending order? | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(MANAGER_ID) | nvbench |
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
) | 从2003年7月31日开始到2013年12月15日结束名字是韩韵诗的参保人她的门诊西药费总共是多少钱？ | SELECT SUM(t_kc22.AMOUNT) FROM t_kc21 JOIN t_kc22 JOIN t_kc21_t_kc22 ON t_kc21.MED_CLINIC_ID = t_kc21_t_kc22.MED_CLINIC_ID AND t_kc21_t_kc22.MED_EXP_DET_ID = t_kc22.MED_EXP_DET_ID WHERE t_kc21.PERSON_NM = '韩韵诗' AND t_kc21.CLINIC_TYPE = '门诊' AND t_kc22.STA_DATE BETWEEN '2003-07-31' AND '2013-12-15' AND t_kc22.MED_INV_ITEM_TYPE = '西药费' | css |
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_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_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
) | 统计就医记录中住院诊断为矽肺贰期的在医院序号9880958中最低和最高医疗费总额有多少？ | SELECT MIN(MED_AMOUT), MAX(MED_AMOUT) FROM t_kc24 WHERE MED_CLINIC_ID IN (SELECT MED_CLINIC_ID FROM t_kc21 WHERE MED_SER_ORG_NO = '9880958' AND IN_DIAG_DIS_NM = '矽肺贰期') | css |
CREATE TABLE table_2413 (
"Broadcast scope" text,
"Broadcast network" text,
"Broadcast term" text,
"Broadcast day and timings (in JST )" text,
"Broadcast format" text
) | Name the broadcast network for chiba prefecture | SELECT "Broadcast network" FROM table_2413 WHERE "Broadcast scope" = 'Chiba Prefecture' | wikisql |
CREATE TABLE table_3002 (
"Conference" text,
"Regular Season Winner" text,
"Conference Player of the Year" text,
"Conference Tournament" text,
"Tournament Venue (City)" text,
"Tournament Winner" text
) | When troy is the regular season winner what is the conference tournament? | SELECT "Conference Tournament" FROM table_3002 WHERE "Regular Season Winner" = 'Troy' | wikisql |
CREATE TABLE table_name_9 (
record VARCHAR,
opponent VARCHAR,
res VARCHAR,
round VARCHAR
) | What record has loss as the res., 1 for the round, and akira maeda as the opponent? | SELECT record FROM table_name_9 WHERE res = "loss" AND round = "1" AND opponent = "akira maeda" | sql_create_context |
CREATE TABLE table_204_855 (
id number,
"year" number,
"date" text,
"winner" text,
"result" text,
"loser" text,
"attendance" number,
"location" text
) | what number of dates were won by the chicago bears ? | SELECT COUNT("date") FROM table_204_855 WHERE "winner" = 'chicago bears' | squall |
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 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 TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
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 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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE CloseReasonTypes (
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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId 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 PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
) | Highest upvote of question, answer - MSE. | SELECT * FROM Votes LIMIT 10 | sede |
CREATE TABLE PostTags (
PostId number,
TagId number
)
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 SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
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 PostTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
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 Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
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 PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
) | Top 2000 users ranked by average answer score. | SELECT Users.Id AS "user_link", SUM(Posts.Score) AS "Upvotes", COUNT(*) AS "Answers", 1.0 * SUM(Posts.Score) / COUNT(*) AS "Ave. score", MAX(Posts.Score) AS "Highest score", 1.0 * MAX(Posts.Score) / SUM(Posts.Score) AS "Fraction votes from highest scoring answer" FROM Posts LEFT JOIN Users ON Posts.OwnerUserId = Users.Id WHERE Posts.PostTypeId = 2 GROUP BY Users.Id ORDER BY 'Ave. score' DESC LIMIT 2000 | sede |
CREATE TABLE table_name_71 (
game INTEGER,
team VARCHAR
) | What was the total score where Toronto was played? | SELECT SUM(game) FROM table_name_71 WHERE team = "toronto" | sql_create_context |
CREATE TABLE table_30120555_1 (
poor_law_union VARCHAR,
townland VARCHAR
) | What poor law union is Curradonohoe a part of? | SELECT poor_law_union FROM table_30120555_1 WHERE townland = "Curradonohoe" | sql_create_context |
CREATE TABLE table_name_38 (
venue VARCHAR,
status VARCHAR,
against VARCHAR
) | What is the venue for the Status of Five Nations and 0 againts? | SELECT venue FROM table_name_38 WHERE status = "five nations" AND against = 0 | sql_create_context |
CREATE TABLE party (
Party_ID int,
Minister text,
Took_office text,
Left_office text,
Region_ID int,
Party_name text
)
CREATE TABLE member (
Member_ID int,
Member_Name text,
Party_ID text,
In_office text
)
CREATE TABLE region (
Region_ID int,
Region_name text,
Date text,
Label text,
Format text,
Catalogue text
)
CREATE TABLE party_events (
Event_ID int,
Event_Name text,
Party_ID int,
Member_in_charge_ID int
) | Plot how many minister by grouped by minister as a bar graph, display y-axis in ascending order. | SELECT Minister, COUNT(Minister) FROM party GROUP BY Minister ORDER BY COUNT(Minister) | nvbench |
CREATE TABLE table_name_77 (
album VARCHAR,
year INTEGER
) | what is the album when the year is later than 2008? | SELECT album FROM table_name_77 WHERE year > 2008 | sql_create_context |
CREATE TABLE college (
college_id TEXT,
name_full TEXT,
city TEXT,
state TEXT,
country TEXT
)
CREATE TABLE manager_award (
player_id TEXT,
award_id TEXT,
year INTEGER,
league_id TEXT,
tie TEXT,
notes NUMERIC
)
CREATE TABLE batting (
player_id TEXT,
year INTEGER,
stint INTEGER,
team_id TEXT,
league_id TEXT,
g INTEGER,
ab NUMERIC,
r NUMERIC,
h NUMERIC,
double NUMERIC,
triple NUMERIC,
hr NUMERIC,
rbi NUMERIC,
sb NUMERIC,
cs NUMERIC,
bb NUMERIC,
so NUMERIC,
ibb NUMERIC,
hbp NUMERIC,
sh NUMERIC,
sf NUMERIC,
g_idp NUMERIC
)
CREATE TABLE home_game (
year INTEGER,
league_id TEXT,
team_id TEXT,
park_id TEXT,
span_first TEXT,
span_last TEXT,
games INTEGER,
openings INTEGER,
attendance INTEGER
)
CREATE TABLE team (
year INTEGER,
league_id TEXT,
team_id TEXT,
franchise_id TEXT,
div_id TEXT,
rank INTEGER,
g INTEGER,
ghome NUMERIC,
w INTEGER,
l INTEGER,
div_win TEXT,
wc_win TEXT,
lg_win TEXT,
ws_win TEXT,
r INTEGER,
ab INTEGER,
h INTEGER,
double INTEGER,
triple INTEGER,
hr INTEGER,
bb INTEGER,
so NUMERIC,
sb NUMERIC,
cs NUMERIC,
hbp NUMERIC,
sf NUMERIC,
ra INTEGER,
er INTEGER,
era NUMERIC,
cg INTEGER,
sho INTEGER,
sv INTEGER,
ipouts INTEGER,
ha INTEGER,
hra INTEGER,
bba INTEGER,
soa INTEGER,
e INTEGER,
dp NUMERIC,
fp NUMERIC,
name TEXT,
park TEXT,
attendance NUMERIC,
bpf INTEGER,
ppf INTEGER,
team_id_br TEXT,
team_id_lahman45 TEXT,
team_id_retro TEXT
)
CREATE TABLE fielding_outfield (
player_id TEXT,
year INTEGER,
stint INTEGER,
glf NUMERIC,
gcf NUMERIC,
grf NUMERIC
)
CREATE TABLE player_college (
player_id TEXT,
college_id TEXT,
year INTEGER
)
CREATE TABLE hall_of_fame (
player_id TEXT,
yearid INTEGER,
votedby TEXT,
ballots NUMERIC,
needed NUMERIC,
votes NUMERIC,
inducted TEXT,
category TEXT,
needed_note TEXT
)
CREATE TABLE park (
park_id TEXT,
park_name TEXT,
park_alias TEXT,
city TEXT,
state TEXT,
country TEXT
)
CREATE TABLE manager_award_vote (
award_id TEXT,
year INTEGER,
league_id TEXT,
player_id TEXT,
points_won INTEGER,
points_max INTEGER,
votes_first INTEGER
)
CREATE TABLE team_half (
year INTEGER,
league_id TEXT,
team_id TEXT,
half INTEGER,
div_id TEXT,
div_win TEXT,
rank INTEGER,
g INTEGER,
w INTEGER,
l INTEGER
)
CREATE TABLE fielding (
player_id TEXT,
year INTEGER,
stint INTEGER,
team_id TEXT,
league_id TEXT,
pos TEXT,
g INTEGER,
gs NUMERIC,
inn_outs NUMERIC,
po NUMERIC,
a NUMERIC,
e NUMERIC,
dp NUMERIC,
pb NUMERIC,
wp NUMERIC,
sb NUMERIC,
cs NUMERIC,
zr NUMERIC
)
CREATE TABLE player_award (
player_id TEXT,
award_id TEXT,
year INTEGER,
league_id TEXT,
tie TEXT,
notes TEXT
)
CREATE TABLE manager_half (
player_id TEXT,
year INTEGER,
team_id TEXT,
league_id TEXT,
inseason INTEGER,
half INTEGER,
g INTEGER,
w INTEGER,
l INTEGER,
rank INTEGER
)
CREATE TABLE appearances (
year INTEGER,
team_id TEXT,
league_id TEXT,
player_id TEXT,
g_all NUMERIC,
gs NUMERIC,
g_batting INTEGER,
g_defense NUMERIC,
g_p INTEGER,
g_c INTEGER,
g_1b INTEGER,
g_2b INTEGER,
g_3b INTEGER,
g_ss INTEGER,
g_lf INTEGER,
g_cf INTEGER,
g_rf INTEGER,
g_of INTEGER,
g_dh NUMERIC,
g_ph NUMERIC,
g_pr NUMERIC
)
CREATE TABLE pitching_postseason (
player_id TEXT,
year INTEGER,
round TEXT,
team_id TEXT,
league_id TEXT,
w INTEGER,
l INTEGER,
g INTEGER,
gs INTEGER,
cg INTEGER,
sho INTEGER,
sv INTEGER,
ipouts INTEGER,
h INTEGER,
er INTEGER,
hr INTEGER,
bb INTEGER,
so INTEGER,
baopp TEXT,
era NUMERIC,
ibb NUMERIC,
wp NUMERIC,
hbp NUMERIC,
bk NUMERIC,
bfp NUMERIC,
gf INTEGER,
r INTEGER,
sh NUMERIC,
sf NUMERIC,
g_idp NUMERIC
)
CREATE TABLE postseason (
year INTEGER,
round TEXT,
team_id_winner TEXT,
league_id_winner TEXT,
team_id_loser TEXT,
league_id_loser TEXT,
wins INTEGER,
losses INTEGER,
ties INTEGER
)
CREATE TABLE player (
player_id TEXT,
birth_year NUMERIC,
birth_month NUMERIC,
birth_day NUMERIC,
birth_country TEXT,
birth_state TEXT,
birth_city TEXT,
death_year NUMERIC,
death_month NUMERIC,
death_day NUMERIC,
death_country TEXT,
death_state TEXT,
death_city TEXT,
name_first TEXT,
name_last TEXT,
name_given TEXT,
weight NUMERIC,
height NUMERIC,
bats TEXT,
throws TEXT,
debut TEXT,
final_game TEXT,
retro_id TEXT,
bbref_id TEXT
)
CREATE TABLE manager (
player_id TEXT,
year INTEGER,
team_id TEXT,
league_id TEXT,
inseason INTEGER,
g INTEGER,
w INTEGER,
l INTEGER,
rank NUMERIC,
plyr_mgr TEXT
)
CREATE TABLE pitching (
player_id TEXT,
year INTEGER,
stint INTEGER,
team_id TEXT,
league_id TEXT,
w INTEGER,
l INTEGER,
g INTEGER,
gs INTEGER,
cg INTEGER,
sho INTEGER,
sv INTEGER,
ipouts NUMERIC,
h INTEGER,
er INTEGER,
hr INTEGER,
bb INTEGER,
so INTEGER,
baopp NUMERIC,
era NUMERIC,
ibb NUMERIC,
wp NUMERIC,
hbp NUMERIC,
bk INTEGER,
bfp NUMERIC,
gf NUMERIC,
r INTEGER,
sh NUMERIC,
sf NUMERIC,
g_idp NUMERIC
)
CREATE TABLE team_franchise (
franchise_id TEXT,
franchise_name TEXT,
active TEXT,
na_assoc TEXT
)
CREATE TABLE salary (
year INTEGER,
team_id TEXT,
league_id TEXT,
player_id TEXT,
salary INTEGER
)
CREATE TABLE all_star (
player_id TEXT,
year INTEGER,
game_num INTEGER,
game_id TEXT,
team_id TEXT,
league_id TEXT,
gp NUMERIC,
starting_pos NUMERIC
)
CREATE TABLE player_award_vote (
award_id TEXT,
year INTEGER,
league_id TEXT,
player_id TEXT,
points_won NUMERIC,
points_max INTEGER,
votes_first NUMERIC
)
CREATE TABLE batting_postseason (
year INTEGER,
round TEXT,
player_id TEXT,
team_id TEXT,
league_id TEXT,
g INTEGER,
ab INTEGER,
r INTEGER,
h INTEGER,
double INTEGER,
triple INTEGER,
hr INTEGER,
rbi INTEGER,
sb INTEGER,
cs NUMERIC,
bb INTEGER,
so INTEGER,
ibb NUMERIC,
hbp NUMERIC,
sh NUMERIC,
sf NUMERIC,
g_idp NUMERIC
)
CREATE TABLE fielding_postseason (
player_id TEXT,
year INTEGER,
team_id TEXT,
league_id TEXT,
round TEXT,
pos TEXT,
g INTEGER,
gs NUMERIC,
inn_outs NUMERIC,
po INTEGER,
a INTEGER,
e INTEGER,
dp INTEGER,
tp INTEGER,
pb NUMERIC,
sb NUMERIC,
cs NUMERIC
) | count yearid for visualizing a line chart, and sort X in asc order. | SELECT yearid, COUNT(yearid) FROM hall_of_fame ORDER BY yearid | nvbench |
CREATE TABLE table_73306 (
"Region" text,
"Population" text,
"Country" text,
"Language" text,
"N" real,
"Total%" text,
"R1b1c (R-V88)" text,
"R1b1a2 (R-M269)" text,
"R1b1c* (R-V88*)" text,
"R1b1c4 (R-V69)" text
) | How many n are listed for berbers from siwa? | SELECT COUNT("N") FROM table_73306 WHERE "Population" = 'Berbers from Siwa' | 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | How many patients living patients operated with circumcission? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Circumcision" | mimicsql_data |
CREATE TABLE table_203_425 (
id number,
"season" number,
"driver" text,
"equipment" text,
"position" number,
"points" number,
"races" number,
"wins" number,
"second" number,
"third" number
) | what is the number of races won in in 2012 by etienne bax ? | SELECT "wins" FROM table_203_425 WHERE "season" = 2012 AND "driver" = 'etienne bax' | squall |
CREATE TABLE cite (
cited int,
citing int
)
CREATE TABLE keyword (
keyword varchar,
kid int
)
CREATE TABLE domain_author (
aid int,
did int
)
CREATE TABLE domain_publication (
did int,
pid int
)
CREATE TABLE domain_keyword (
did int,
kid int
)
CREATE TABLE journal (
homepage varchar,
jid int,
name varchar
)
CREATE TABLE publication_keyword (
kid int,
pid int
)
CREATE TABLE domain_conference (
cid int,
did int
)
CREATE TABLE author (
aid int,
homepage varchar,
name varchar,
oid int
)
CREATE TABLE conference (
cid int,
homepage varchar,
name varchar
)
CREATE TABLE domain_journal (
did int,
jid int
)
CREATE TABLE domain (
did int,
name varchar
)
CREATE TABLE publication (
abstract varchar,
cid int,
citation_num int,
jid int,
pid int,
reference_num int,
title varchar,
year int
)
CREATE TABLE writes (
aid int,
pid int
)
CREATE TABLE organization (
continent varchar,
homepage varchar,
name varchar,
oid int
) | return me all the organizations in Databases area . | SELECT organization.name FROM author, domain, domain_author, organization WHERE domain_author.aid = author.aid AND domain.did = domain_author.did AND domain.name = 'Databases' AND organization.oid = author.oid | academic |
CREATE TABLE table_name_81 (
score VARCHAR,
record VARCHAR
) | What is the score for the team with a record of 2-1? | SELECT score FROM table_name_81 WHERE record = "2-1" | sql_create_context |
CREATE TABLE table_17010 (
"Institution" text,
"Location" text,
"Founded" real,
"Type" text,
"Enrollment" real,
"Nickname" text,
"Joined" real,
"Left" real,
"Current Conference" text
) | What year did a school leave that was founded in 1880? | SELECT "Left" FROM table_17010 WHERE "Founded" = '1880' | wikisql |
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime 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 treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
) | what was the drug patient 009-7776 was prescribed for the first time using the iv push route in this month? | SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '009-7776')) AND medication.routeadmin = 'iv push' AND DATETIME(medication.drugstarttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY medication.drugstarttime LIMIT 1 | eicu |
CREATE TABLE table_test_30 (
"id" int,
"ejection_fraction_ef" int,
"multiple_long_bone_fractures" bool,
"extracellular_volume_expansion" bool,
"pregnancy_or_lactation" bool,
"bleeding" int,
"serum_potassium" float,
"prosthetic_heart_valve" bool,
"hbg" int,
"anticoagulation" bool,
"incomplete_spinal_cord_injury" bool,
"complex_pelvic_fractures" bool,
"ascites" bool,
"gcs" int,
"urine_output" int,
"hyperkalemia" bool,
"head_injury" bool,
"operative_area" bool,
"trauma" bool,
"renal_disease" bool,
"metal_sensitivity" bool,
"para" bool,
"creatinine_clearance_cl" float,
"mental_illness" bool,
"estimated_glomerular_filtration_rate_egfr" int,
"pulmonary_rales" bool,
"edema" bool,
"platelet_count" float,
"inadequate_tissue_coverage" bool,
"associated_long_bone_fractures" bool,
"pe" bool,
"long_term_anticoagulation" int,
"pitting" bool,
"injury_patterns" bool,
"spinal_infection" bool,
"jugular_venous_distention" bool,
"serum_sodium_concentration" int,
"previous_hemorrhagic_stroke" bool,
"orthopedic" bool,
"kidney_disease" bool,
"open_wounds" bool,
"quadriplegia" bool,
"chronic_warfarin_therapy" bool,
"chest_x_ray" bool,
"inflammation" bool,
"morbid_obesity" bool,
"iv_furosemide" int,
"cardiomyopathy" bool,
"atrial_flutter" bool,
"alcohol_abuse" bool,
"aortic" bool,
"mitral" bool,
"atrial_fibrillation" bool,
"drug_abuse" bool,
"foreign_body_sensitivity" bool,
"venous_thromboembolic_disease" bool,
"chronic_anticoagulation" bool,
"myocardial_infarction" bool,
"dvt" bool,
"NOUSE" float
) | previous hemorrhagic stroke | SELECT * FROM table_test_30 WHERE previous_hemorrhagic_stroke = 1 | criteria2sql |
CREATE TABLE table_78978 (
"Place" real,
"Name" text,
"All Around" real,
"Clubs" real,
"Total" real
) | What is the highest total that has andrea sinko as the name, with an all around greater than 9.65? | SELECT MAX("Total") FROM table_78978 WHERE "Name" = 'andrea sinko' AND "All Around" > '9.65' | wikisql |
CREATE TABLE table_49191 (
"Event" text,
"Time" text,
"Name" text,
"Nation" text,
"Games" text,
"Date" text
) | On what date was a record set in the team pursuit (8 laps) event? | SELECT "Date" FROM table_49191 WHERE "Event" = 'team pursuit (8 laps)' | wikisql |
CREATE TABLE table_204_125 (
id number,
"state" text,
"type" text,
"name" text,
"title" text,
"royal house" text,
"from" text,
"to" text
) | which king ruled the longest ? | SELECT "name" FROM table_204_125 ORDER BY "from" - "to" DESC LIMIT 1 | squall |
CREATE TABLE table_64536 (
"Rank" text,
"Group" text,
"Name" text,
"Nationality" text,
"Mark" text
) | What is the mark for Grenada in group A? | SELECT "Mark" FROM table_64536 WHERE "Group" = 'a' AND "Nationality" = 'grenada' | wikisql |
CREATE TABLE table_28456 (
"Year" real,
"Championship" text,
"54 holes" text,
"Winning score" text,
"Margin" text,
"Runner(s)-up" text
) | what is the space where the next one was mike turnesa | SELECT "Margin" FROM table_28456 WHERE "Runner(s)-up" = 'Mike Turnesa' | wikisql |
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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 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)
) | For those employees who do not work in departments with managers that have ids between 100 and 200, show me the trend about department_id over hire_date with a line chart, show by the X in desc. | SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY HIRE_DATE DESC | nvbench |
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