instruction
stringlengths 151
7.46k
| output
stringlengths 2
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stringclasses 26
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|---|---|---|
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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients whose year of birth is less than 2065 and diagnoses short title is malig neo ascend colon?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dob_year < "2065" AND diagnoses.short_title = "Malig neo ascend colon"
|
mimicsql_data
|
CREATE TABLE table_name_86 (
drawn INTEGER,
points INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many drawn having more than 9 points?
|
SELECT SUM(drawn) FROM table_name_86 WHERE points > 9
|
sql_create_context
|
CREATE TABLE table_name_93 (
fourth VARCHAR,
event VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was Fourth in the 2008 Telstra Men's Pro Event?
|
SELECT fourth FROM table_name_93 WHERE event = "2008 telstra men's pro"
|
sql_create_context
|
CREATE TABLE table_17263 (
"No." text,
"Player" text,
"Date of Birth" text,
"Batting Style" text,
"Bowling Style" text,
"First Class Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the bowling style of chris harris?
|
SELECT "Bowling Style" FROM table_17263 WHERE "Player" = 'Chris Harris'
|
wikisql
|
CREATE TABLE table_16571 (
"Character" text,
"Portrayed by" text,
"First appearance" text,
"Last appearance" text,
"Duration" text,
"Episodes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many episodes did actress Vanessa Ferlito appear in?
|
SELECT "Episodes" FROM table_16571 WHERE "Portrayed by" = 'Vanessa Ferlito'
|
wikisql
|
CREATE TABLE company (
company_id number,
rank number,
company text,
headquarters text,
main_industry text,
sales_billion number,
profits_billion number,
assets_billion number,
market_value number
)
CREATE TABLE station_company (
station_id number,
company_id number,
rank_of_the_year number
)
CREATE TABLE gas_station (
station_id number,
open_year number,
location text,
manager_name text,
vice_manager_name text,
representative_name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the names and headquarters of all companies ordered by descending market value?
|
SELECT company, headquarters FROM company ORDER BY market_value DESC
|
spider
|
CREATE TABLE table_204_912 (
id number,
"rank" number,
"athlete" text,
"country" text,
"time" number,
"notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many competitors were from the soviet union ?
|
SELECT COUNT("athlete") FROM table_204_912 WHERE "country" = 'soviet union'
|
squall
|
CREATE TABLE table_name_25 (
event VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In what event is the opponent Joe Nameth?
|
SELECT event FROM table_name_25 WHERE opponent = "joe nameth"
|
sql_create_context
|
CREATE TABLE city (
City_ID int,
City text,
Hanzi text,
Hanyu_Pinyin text,
Regional_Population int,
GDP real
)
CREATE TABLE hosting_city (
Year int,
Match_ID int,
Host_City text
)
CREATE TABLE temperature (
City_ID int,
Jan real,
Feb real,
Mar real,
Apr real,
Jun real,
Jul real,
Aug real,
Sep real,
Oct real,
Nov real,
Dec real
)
CREATE TABLE match (
Match_ID int,
Date text,
Venue text,
Score text,
Result text,
Competition text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For each competition, count the number of matches, and rank in desc by the X-axis.
|
SELECT Competition, COUNT(*) FROM match GROUP BY Competition ORDER BY Competition DESC
|
nvbench
|
CREATE TABLE table_48047 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What score did Australia get?
|
SELECT "Score" FROM table_48047 WHERE "Country" = 'australia'
|
wikisql
|
CREATE TABLE table_name_99 (
week INTEGER,
opponent VARCHAR,
attendance VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average week with St. Louis Cardinals with less than 80,010 attendance?
|
SELECT AVG(week) FROM table_name_99 WHERE opponent = "st. louis cardinals" AND attendance < 80 OFFSET 010
|
sql_create_context
|
CREATE TABLE table_79560 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which tie number had an away team of Arsenal?
|
SELECT "Tie no" FROM table_79560 WHERE "Away team" = 'arsenal'
|
wikisql
|
CREATE TABLE table_78047 (
"Stage" text,
"Winner" text,
"General classification" text,
"Points classification" text,
"Trofeo Fast Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who was the trofeo fast team in stage 10?
|
SELECT "Trofeo Fast Team" FROM table_78047 WHERE "Stage" = '10'
|
wikisql
|
CREATE TABLE table_47836 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score when Fulham is the away team?
|
SELECT "Score" FROM table_47836 WHERE "Away team" = 'fulham'
|
wikisql
|
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how much ns was prescribed during this month for the first time to patient 76332?
|
SELECT prescriptions.dose_val_rx FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 76332) AND prescriptions.drug = 'ns' AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY prescriptions.startdate LIMIT 1
|
mimic_iii
|
CREATE TABLE table_name_44 (
attendance VARCHAR,
result VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many people attended the game when the game was won 4-2?
|
SELECT COUNT(attendance) FROM table_name_44 WHERE result = "won 4-2"
|
sql_create_context
|
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total revenue of each manufacturer, sort in ascending by the names.
|
SELECT Name, SUM(Revenue) FROM Manufacturers GROUP BY Name ORDER BY Name
|
nvbench
|
CREATE TABLE table_name_93 (
byes INTEGER,
losses VARCHAR,
draws VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest number of byes where the losses were 9 and the draws were less than 0?
|
SELECT MAX(byes) FROM table_name_93 WHERE losses = 9 AND draws < 0
|
sql_create_context
|
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what author is most cited ?
|
SELECT DISTINCT author.authorname, COUNT(cite.citingpaperid) FROM author, cite, writes WHERE writes.authorid = author.authorid AND writes.paperid = cite.citedpaperid GROUP BY author.authorname ORDER BY COUNT(cite.citingpaperid) DESC
|
scholar
|
CREATE TABLE table_13118 (
"Mark" text,
"Wind*" text,
"Athlete" text,
"Nationality" text,
"Venue" text,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Wind* has a Nationality of united states, and an Athlete of jackie joyner-kersee?
|
SELECT "Wind*" FROM table_13118 WHERE "Nationality" = 'united states' AND "Athlete" = 'jackie joyner-kersee'
|
wikisql
|
CREATE TABLE table_name_20 (
episode INTEGER,
segment_d VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What episode has a manual motorcycle transmissions section D?
|
SELECT SUM(episode) FROM table_name_20 WHERE segment_d = "manual motorcycle transmissions"
|
sql_create_context
|
CREATE TABLE table_29827 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score when andray blatche , al thornton (20) had the high points?
|
SELECT "Score" FROM table_29827 WHERE "High points" = 'Andray Blatche , Al Thornton (20)'
|
wikisql
|
CREATE TABLE table_65198 (
"Rank" text,
"Country" text,
"Jerseys" real,
"Giro wins" real,
"Points" real,
"Young rider" real,
"Most recent cyclist" text,
"Most recent date" text,
"Different holders" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the least different holders when the country is ireland and giro wins is less than 1?
|
SELECT MIN("Different holders") FROM table_65198 WHERE "Country" = 'ireland' AND "Giro wins" < '1'
|
wikisql
|
CREATE TABLE table_name_81 (
result VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result on 27 august 2003?
|
SELECT result FROM table_name_81 WHERE date = "27 august 2003"
|
sql_create_context
|
CREATE TABLE table_name_66 (
december INTEGER,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest December, when Score is '4 - 4'?
|
SELECT MIN(december) FROM table_name_66 WHERE score = "4 - 4"
|
sql_create_context
|
CREATE TABLE individuals (
individual_id number,
individual_first_name text,
individual_middle_name text,
inidividual_phone text,
individual_email text,
individual_address text,
individual_last_name text
)
CREATE TABLE party_services (
booking_id number,
customer_id number,
service_id number,
service_datetime time,
booking_made_date time
)
CREATE TABLE organizations (
organization_id number,
date_formed time,
organization_name text,
uk_vat_number text
)
CREATE TABLE organization_contact_individuals (
individual_id number,
organization_id number,
date_contact_from time,
date_contact_to time
)
CREATE TABLE forms (
form_id number,
form_type_code text,
service_id number,
form_number text,
form_name text,
form_description text
)
CREATE TABLE party_addresses (
party_id number,
address_id number,
date_address_from time,
address_type_code text,
date_address_to time
)
CREATE TABLE addresses (
address_id number,
line_1_number_building text,
town_city text,
zip_postcode text,
state_province_county text,
country text
)
CREATE TABLE parties (
party_id number,
payment_method_code text,
party_phone text,
party_email text
)
CREATE TABLE party_forms (
party_id number,
form_id number,
date_completion_started time,
form_status_code text,
date_fully_completed time
)
CREATE TABLE services (
service_id number,
service_type_code text,
service_name text,
service_descriptio text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the name of organizations whose names contain 'Party'.
|
SELECT organization_name FROM organizations WHERE organization_name LIKE "%Party%"
|
spider
|
CREATE TABLE table_14135 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"TV Time" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which week was the December 21, 2003 game?
|
SELECT "Week" FROM table_14135 WHERE "Date" = 'december 21, 2003'
|
wikisql
|
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- when were patient 20332 first prescribed for aspirin and potassium chl 20 meq / 1000 ml d5 1/2 ns at the same time?
|
SELECT t1.startdate FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'aspirin' AND admissions.subject_id = 20332) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'potassium chl 20 meq / 1000 ml d5 1/2 ns' AND admissions.subject_id = 20332) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) ORDER BY t1.startdate LIMIT 1
|
mimic_iii
|
CREATE TABLE VOTING_RECORD (
Id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the number of voting records in total.
|
SELECT COUNT(*) FROM VOTING_RECORD
|
sql_create_context
|
CREATE TABLE table_28891101_3 (
census_2006_population VARCHAR,
area__km_2__ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the 2006 census population when the area is 159?
|
SELECT COUNT(census_2006_population) FROM table_28891101_3 WHERE area__km_2__ = 159
|
sql_create_context
|
CREATE TABLE table_52412 (
"Position" real,
"Club" text,
"Played" real,
"Points" text,
"Wins" real,
"Draws" real,
"Losses" real,
"Goals for" real,
"Goals against" real,
"Goal Difference" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the biggest draws, for wins under 4, and points of 20-18?
|
SELECT MAX("Draws") FROM table_52412 WHERE "Points" = '20-18' AND "Wins" < '4'
|
wikisql
|
CREATE TABLE table_41784 (
"Year" real,
"Country" text,
"Team" text,
"Individual" text,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Team when the match was in buenos aires , argentina?
|
SELECT "Team" FROM table_41784 WHERE "Location" = 'buenos aires , argentina'
|
wikisql
|
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_kc24 (
MED_SAFE_PAY_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
REF_SLT_FLG number,
CLINIC_SLT_DATE time,
COMP_ID text,
PERSON_ID text,
FLX_MED_ORG_ID text,
INSU_TYPE text,
MED_AMOUT number,
PER_ACC_PAY number,
OVE_PAY number,
ILL_PAY number,
CIVIL_SUBSIDY number,
PER_SOL number,
PER_EXP number,
DATA_ID text,
SYNC_TIME time,
OUT_HOSP_DATE time,
CLINIC_ID text,
MED_TYPE number,
INSURED_STS text,
INSURED_IDENTITY number,
TRADE_TYPE number,
RECIPE_BILL_ID text,
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
RECEIVER_DEAL_ID text,
SENDER_REVOKE_ID text,
RECEIVER_REVOKE_ID text,
SENDER_OFFSET_ID text,
RECEIVER_OFFSET_ID text,
LAS_OVE_PAY number,
OVE_ADD_PAY number,
SUP_ADD_PAY number,
CKC102 number,
CASH_PAY number,
COM_ACC_PAY number,
ENT_ACC_PAY number,
ENT_PAY number,
COM_PAY number,
OLDC_FUND_PAY number,
SPE_FUND_PAY number
)
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,
VAL_UNIT text,
DOSE_UNIT text,
DOSE_FORM text,
SPEC text,
USE_FRE text,
EACH_DOSAGE text,
QTY number,
UNIVALENT number,
AMOUNT number,
SELF_PAY_PRO number,
RER_SOL number,
SELF_PAY_AMO number,
UP_LIMIT_AMO number,
OVE_SELF_AMO number,
EXP_OCC_DATE time,
RECIPE_BILL_ID text,
FLX_MED_ORG_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
REF_STA_FLG number,
DATA_ID text,
SYNC_TIME time,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
TRADE_TYPE number,
STA_FLG number,
STA_DATE time,
REIMBURS_TYPE number,
FXBZ number,
REMOTE_SETTLE_FLG text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 从04年7月19日开始到2019年1月14日结束姜玉石患者被开出布洛芬片(糖衣)药物的总次数的数量有几次？
|
SELECT COUNT(*) FROM t_kc21 JOIN t_kc22 ON t_kc21.MED_CLINIC_ID = t_kc22.MED_CLINIC_ID WHERE t_kc21.PERSON_NM = '姜玉石' AND t_kc22.STA_DATE BETWEEN '2004-07-19' AND '2019-01-14' AND t_kc22.SOC_SRT_DIRE_NM = '布洛芬片(糖衣)'
|
css
|
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
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 lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of times that patient 005-46456 had received a protein - csf test during the previous month?
|
SELECT COUNT(*) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-46456')) AND lab.labname = 'protein - csf' AND DATETIME(lab.labresulttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month')
|
eicu
|
CREATE TABLE table_22178 (
"Season" real,
"Average Attendance Home" text,
"Highest Attendance Home" text,
"Average Attendance Away" text,
"Highest Attendance Away" text,
"Division / Section" text,
"Level" text,
"Average Attendance League" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When the average away attendance is 1.889 in the Superettan, what's the average home attendance?
|
SELECT "Average Attendance Home" FROM table_22178 WHERE "Division / Section" = 'Superettan' AND "Average Attendance Away" = '1.889'
|
wikisql
|
CREATE TABLE table_name_85 (
round INTEGER,
position VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the round when the position is (c)?
|
SELECT MAX(round) FROM table_name_85 WHERE position = "(c)"
|
sql_create_context
|
CREATE TABLE table_62451 (
"Class" text,
"Number(s)" text,
"Quantity" text,
"Year(s) of Manufacture" text,
"Type" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the quantity of class B V?
|
SELECT "Quantity" FROM table_62451 WHERE "Class" = 'b v'
|
wikisql
|
CREATE TABLE table_name_39 (
date_of_attack VARCHAR,
fate VARCHAR,
cargo VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Date of attack of the ship with iron ore sunk by u-101 *?
|
SELECT date_of_attack FROM table_name_39 WHERE fate = "sunk by u-101 *" AND cargo = "iron ore"
|
sql_create_context
|
CREATE TABLE txmzjzjlb (
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,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM 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 ftxmzjzjlb (
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,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 名叫孔红艳的病人在2002年11月10日至2007年9月10日内测验人为13231895的所有检验结果指标记录的检验指数的流水号是啥？
|
SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN txmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = txmzjzjlb.YLJGDM AND hz_info.KH = txmzjzjlb.KH AND hz_info.KLX = txmzjzjlb.KLX AND txmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND txmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '孔红艳' AND jyjgzbb.JYRQ BETWEEN '2002-11-10' AND '2007-09-10' AND jyjgzbb.JCRGH = '13231895' UNION SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN ftxmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = ftxmzjzjlb.YLJGDM AND hz_info.KH = ftxmzjzjlb.KH AND hz_info.KLX = ftxmzjzjlb.KLX AND ftxmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND ftxmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '孔红艳' AND jyjgzbb.JYRQ BETWEEN '2002-11-10' AND '2007-09-10' AND jyjgzbb.JCRGH = '13231895' UNION SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '孔红艳' AND jyjgzbb.JYRQ BETWEEN '2002-11-10' AND '2007-09-10' AND jyjgzbb.JCRGH = '13231895'
|
css
|
CREATE TABLE location (
restaurant_id int,
house_number int,
street_name varchar,
city_name varchar
)
CREATE TABLE restaurant (
id int,
name varchar,
food_type varchar,
city_name varchar,
rating "decimal
)
CREATE TABLE geographic (
city_name varchar,
county varchar,
region varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- where is a good place in mountain view for arabic food ?
|
SELECT location.house_number, restaurant.name FROM location, restaurant WHERE location.city_name = 'mountain view' AND restaurant.food_type = 'arabic' AND restaurant.id = location.restaurant_id AND restaurant.rating > 2.5
|
restaurants
|
CREATE TABLE products (
product_id VARCHAR,
product_type_code VARCHAR,
product_price VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the product id and product type of the cheapest product?
|
SELECT product_id, product_type_code FROM products ORDER BY product_price LIMIT 1
|
sql_create_context
|
CREATE TABLE table_name_75 (
game_site VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which game site has an Opponent of buffalo bills?
|
SELECT game_site FROM table_name_75 WHERE opponent = "buffalo bills"
|
sql_create_context
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients stayed in hospital for more than 10 days and procedured for coronary arteriography using two catheters?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "10" AND procedures.long_title = "Coronary arteriography using two catheters"
|
mimicsql_data
|
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 status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
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 station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For each station, just simply show its longitude and the average duration of trips that started from the station using a scatter chart.
|
SELECT long, AVG(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id
|
nvbench
|
CREATE TABLE table_68760 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent" text,
"Score" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which tournament has a Date of april 20, 1987?
|
SELECT "Tournament" FROM table_68760 WHERE "Date" = 'april 20, 1987'
|
wikisql
|
CREATE TABLE team (
Team_id int,
Name text
)
CREATE TABLE player (
Player_ID int,
Player text,
Years_Played text,
Total_WL text,
Singles_WL text,
Doubles_WL text,
Team int
)
CREATE TABLE match_season (
Season real,
Player text,
Position text,
Country int,
Team int,
Draft_Pick_Number int,
Draft_Class text,
College text
)
CREATE TABLE country (
Country_id int,
Country_name text,
Capital text,
Official_native_language text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many players played each position. Plot them as bar chart.
|
SELECT Position, COUNT(*) FROM match_season GROUP BY Position
|
nvbench
|
CREATE TABLE table_204_603 (
id number,
"pos" text,
"no" number,
"rider" text,
"bike" text,
"laps" number,
"time" text,
"grid" number,
"points" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what rider finished next after jonas folger ?
|
SELECT "rider" FROM table_204_603 WHERE "pos" = (SELECT "pos" FROM table_204_603 WHERE "rider" = 'jonas folger') + 1
|
squall
|
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE txmzjzjlb (
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,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE ftxmzjzjlb (
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,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患有疾病V27.340的人在被门诊确诊时其检测指标043045的参考值范围下限和上限都是多些？
|
SELECT jyjgzbb.CKZFWXX, jyjgzbb.CKZFWSX FROM txmzjzjlb JOIN jybgb JOIN jyjgzbb ON txmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND txmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE txmzjzjlb.JZZDBM = 'V27.340' AND jyjgzbb.JCZBDM = '043045' UNION SELECT jyjgzbb.CKZFWXX, jyjgzbb.CKZFWSX FROM ftxmzjzjlb JOIN jybgb JOIN jyjgzbb ON ftxmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND ftxmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE ftxmzjzjlb.JZZDBM = 'V27.340' AND jyjgzbb.JCZBDM = '043045'
|
css
|
CREATE TABLE table_18069 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"U.S. viewers (million)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the number of shows when there was 2 million views
|
SELECT COUNT("U.S. viewers (million)") FROM table_18069 WHERE "No. in season" = '2'
|
wikisql
|
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE 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)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the correlation between salary and manager_id in a scatter chart.
|
SELECT SALARY, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
nvbench
|
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_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
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_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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 医疗记录中患者年龄不高于20岁的平均医疗费总额是多少
|
SELECT AVG(t_kc24.MED_AMOUT) FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID IN (SELECT t_kc21.MED_CLINIC_ID FROM t_kc21 WHERE t_kc21.PERSON_AGE <= 20)
|
css
|
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
JYKSBM text,
JYKSMC text,
BGJGDM text,
BGJGMC text,
SQRQ time,
CJRQ time,
JYRQ time,
BGSJ time,
BBDM text,
BBMC text,
JYBBH text,
BBZT number,
BBCJBW text,
JSBBSJ time,
JYXMMC text,
JYXMDM text,
JYSQJGMC text,
JYJGMC text,
JSBBRQSJ time,
JYJSQM text,
JYJSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
CREATE TABLE jyjgzbb (
JYZBLSH text,
YLJGDM text,
BGDH text,
BGRQ time,
JYRQ time,
JCRGH text,
JCRXM text,
SHRGH text,
SHRXM text,
JCXMMC text,
JCZBDM text,
JCFF text,
JCZBMC text,
JCZBJGDX text,
JCZBJGDL number,
JCZBJGDW text,
SBBM text,
YQBH text,
YQMC text,
CKZFWDX text,
CKZFWXX number,
CKZFWSX number,
JLDW text
)
CREATE TABLE mzjzjlb (
YLJGDM text,
JZLSH text,
KH text,
KLX number,
MJZH text,
HZXM text,
NLS number,
NLY number,
ZSEBZ number,
JZZTDM number,
JZZTMC text,
JZJSSJ time,
TXBZ number,
ZZBZ number,
WDBZ number,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
ZZYSGH text,
QTJZYSGH text,
JZZDBM text,
JZZDSM text,
MZZYZDZZBM text,
MZZYZDZZMC text,
SG number,
TZ number,
TW number,
SSY number,
SZY number,
XL number,
HXPLC number,
ML number,
JLSJ time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 列出病人入住的病区代码和名称和入院的床位号，主要针对住院就诊57073431477的病患
|
SELECT RZBQDM, RZBQMC, RYCWH FROM zyjzjlb WHERE JZLSH = '57073431477'
|
css
|
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE 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 cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- had patient 016-1459's systemicdiastolic been normal.
|
SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-1459')) AND vitalperiodic.systemicdiastolic BETWEEN diastolic_bp_lower AND diastolic_bp_upper AND NOT vitalperiodic.systemicdiastolic IS NULL
|
eicu
|
CREATE TABLE table_name_11 (
width__inches_ VARCHAR,
length__feet_ VARCHAR,
engine VARCHAR,
retired VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For a vehicle below 25 feet, that was retired in 2005 and had a navistar t444e engine, what was the total width?
|
SELECT COUNT(width__inches_) FROM table_name_11 WHERE engine = "navistar t444e" AND retired = "2005" AND length__feet_ < 25
|
sql_create_context
|
CREATE TABLE table_name_5 (
fa_cup_goals INTEGER,
league_goals VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of FA Cup goals when there are 19 league goals?
|
SELECT SUM(fa_cup_goals) FROM table_name_5 WHERE league_goals = "19"
|
sql_create_context
|
CREATE TABLE table_2009095_2 (
year INTEGER,
opponents VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the least year for evonne goolagong helen gourlay
|
SELECT MIN(year) FROM table_2009095_2 WHERE opponents = "Evonne Goolagong Helen Gourlay"
|
sql_create_context
|
CREATE TABLE table_32745 (
"Rider" text,
"Bike" text,
"Laps" real,
"Time" text,
"Grid" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What laps have a Time of +28.778?
|
SELECT "Laps" FROM table_32745 WHERE "Time" = '+28.778'
|
wikisql
|
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Visualize a bar chart about the distribution of Nationality and the sum of meter_100 , and group by attribute Nationality, and I want to display from high to low by the y-axis.
|
SELECT Nationality, SUM(meter_100) FROM swimmer GROUP BY Nationality ORDER BY SUM(meter_100) DESC
|
nvbench
|
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostTags (
PostId number,
TagId 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 ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId 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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
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 SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Highest and lowest voted posts.
|
SELECT 'site://questions/' + CAST(Id AS TEXT) AS "question_with_highest_score" FROM Posts ORDER BY Score DESC LIMIT 1
|
sede
|
CREATE TABLE table_79764 (
"Tournament" text,
"Wins" real,
"Top-25" real,
"Events" real,
"Cuts made" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many cuts did he make at the PGA championship in 3 events?
|
SELECT MAX("Cuts made") FROM table_79764 WHERE "Tournament" = 'pga championship' AND "Events" > '3'
|
wikisql
|
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment 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 Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description 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 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 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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
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 FlagTypes (
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 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 ReviewTaskResultTypes (
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 PostTags (
PostId number,
TagId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- JavaScript MVC Framework Trends (Bottom-Tier, from TodoMVC) (# of Questions per Month).
|
SELECT DATEADD(mm, (YEAR(Posts.CreationDate) - 1900) * 12 + MONTH(Posts.CreationDate) - 1, 0) AS Month, Tags.TagName, COUNT(*) AS Questions FROM Tags LEFT JOIN PostTags ON PostTags.TagId = Tags.Id LEFT JOIN Posts ON Posts.Id = PostTags.PostId LEFT JOIN PostTypes ON PostTypes.Id = Posts.PostTypeId WHERE Tags.TagName IN ('agility.js', 'knockback.js', 'canjs', 'sammy.js', 'stapes.js', 'puremvc', 'enyo', 'sapui', 'vue.js', 'spine.js', 'sproutcore', 'yui') AND PostTypes.Name = 'Question' AND Posts.CreationDate < DATEADD(month, DATEDIFF(month, 0, GETDATE()), 0) GROUP BY YEAR(Posts.CreationDate), MONTH(Posts.CreationDate), Tags.TagName ORDER BY YEAR(Posts.CreationDate), MONTH(Posts.CreationDate), Tags.TagName
|
sede
|
CREATE TABLE table_28485 (
"Week #" text,
"Theme" text,
"Song choice" text,
"Original artist" text,
"Order #" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the order # for the original artist sarah mclachlan?
|
SELECT "Order #" FROM table_28485 WHERE "Original artist" = 'Sarah McLachlan'
|
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_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_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_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 医疗机构1195150的患者对医疗项目自付比例的平均值在2003年2月4日到2004年12月30日内都是多少？
|
SELECT AVG(t_kc22.SELF_PAY_PRO) FROM t_kc21 JOIN t_kc22 ON t_kc21.MED_CLINIC_ID = t_kc22.MED_CLINIC_ID WHERE t_kc21.MED_SER_ORG_NO = '1195150' AND t_kc22.STA_DATE BETWEEN '2003-02-04' AND '2004-12-30'
|
css
|
CREATE TABLE sportsinfo (
stuid number,
sportname text,
hoursperweek number,
gamesplayed number,
onscholarship text
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
CREATE TABLE video_games (
gameid number,
gname text,
gtype text
)
CREATE TABLE plays_games (
stuid number,
gameid number,
hours_played number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show all advisors who have at least two students.
|
SELECT advisor FROM student GROUP BY advisor HAVING COUNT(*) >= 2
|
spider
|
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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- for how many days did the subject id 64208 stay in the hospital?
|
SELECT demographic.days_stay FROM demographic WHERE demographic.subject_id = "64208"
|
mimicsql_data
|
CREATE TABLE table_204_384 (
id number,
"#" number,
"air date" text,
"timeslot (est)" text,
"season" text,
"rating" number,
"share" number,
"18-49 (rating/share)" text,
"viewers (m)" number,
"weekly rank (#)" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what episode had the highest rating ?
|
SELECT "air date" FROM table_204_384 ORDER BY "rating" DESC LIMIT 1
|
squall
|
CREATE TABLE table_68093 (
"Name" text,
"Position" text,
"Club career" text,
"League apps" real,
"League goals" real,
"Total apps" real,
"Total goals" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the fewest total goals scored for players with under 171 league appearances, 151 total appearances, and the DF position?
|
SELECT MIN("Total goals") FROM table_68093 WHERE "League apps" < '171' AND "Total apps" = '151' AND "Position" = 'df'
|
wikisql
|
CREATE TABLE table_name_76 (
potassium VARCHAR,
lithium VARCHAR,
sodium VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the properties of potassium when lithium is h a l o g e n s and sodium is bromine?
|
SELECT potassium FROM table_name_76 WHERE lithium = "h a l o g e n s" AND sodium = "bromine"
|
sql_create_context
|
CREATE TABLE table_name_7 (
loss VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which loss had a record of 79-49?
|
SELECT loss FROM table_name_7 WHERE record = "79-49"
|
sql_create_context
|
CREATE TABLE table_9281 (
"Date" text,
"Opponent" text,
"Score" text,
"Result" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Record has a Date of june 26?
|
SELECT "Record" FROM table_9281 WHERE "Date" = 'june 26'
|
wikisql
|
CREATE TABLE table_36262 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Venue" text,
"Attendance" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Opponent of chicago bears involved what date?
|
SELECT "Date" FROM table_36262 WHERE "Opponent" = 'chicago bears'
|
wikisql
|
CREATE TABLE table_name_77 (
blagojevich__d_ VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Blagojevich (D) happened on october 16, 2006?
|
SELECT blagojevich__d_ FROM table_name_77 WHERE date = "october 16, 2006"
|
sql_create_context
|
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE bdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
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,
YLJGDM number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE 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 wdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
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,
YLJGDM number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 葛心怡这个患者之前在哪个医院看病啊
|
SELECT mzjzjlb.YLJGDM FROM person_info JOIN hz_info JOIN mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE person_info.XM = '葛心怡' UNION SELECT wdmzjzjlb.YLJGDM FROM person_info JOIN hz_info JOIN wdmzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = wdmzjzjlb.YLJGDM AND hz_info.KH = wdmzjzjlb.KH AND hz_info.KLX = wdmzjzjlb.KLX WHERE person_info.XM = '葛心怡' UNION SELECT bdmzjzjlb.YLJGDM FROM person_info JOIN hz_info JOIN bdmzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = bdmzjzjlb.YLJGDM AND hz_info.KH = bdmzjzjlb.KH AND hz_info.KLX = bdmzjzjlb.KLX WHERE person_info.XM = '葛心怡'
|
css
|
CREATE TABLE table_66513 (
"Year" real,
"Category" text,
"Nominee(s)" text,
"Episode" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result for the years after 2001?
|
SELECT "Result" FROM table_66513 WHERE "Year" > '2001'
|
wikisql
|
CREATE TABLE table_27061 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When 120 is the number in series who is the writer?
|
SELECT "Written by" FROM table_27061 WHERE "No. in series" = '120'
|
wikisql
|
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me the comparison about meter_100 over the meter_500 by a bar chart, rank in asc by the bar.
|
SELECT meter_500, meter_100 FROM swimmer ORDER BY meter_500
|
nvbench
|
CREATE TABLE table_34133 (
"Year" text,
"Title" text,
"Director" text,
"Distributor(s)" text,
"Box office" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the movie that Paul Schneider directed?
|
SELECT "Title" FROM table_34133 WHERE "Director" = 'paul schneider'
|
wikisql
|
CREATE TABLE table_18894 (
"Title and Source" text,
"Developer(s)/Publisher(s)" text,
"JP -210-" text,
"NA -350-" text,
"PAL -295-" text,
"Wii Points" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what's the wii points with title and source being ts shin taikyoku: igo d j 2700-mon
|
SELECT "Wii Points" FROM table_18894 WHERE "Title and Source" = 'Tsūshin Taikyoku: Igo Dōjō 2700-Mon'
|
wikisql
|
CREATE TABLE table_name_30 (
score VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHich Score has a Date on november 11?
|
SELECT score FROM table_name_30 WHERE date = "november 11"
|
sql_create_context
|
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_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_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_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_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_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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 个人自费在医疗就诊33531671277中的金额为多少？
|
SELECT t_kc24.PER_EXP FROM t_kc24 JOIN t_kc21_t_kc24 JOIN t_kc21 ON t_kc21_t_kc24.MED_SAFE_PAY_ID = t_kc24.MED_SAFE_PAY_ID AND t_kc21_t_kc24.MED_CLINIC_ID = t_kc21.MED_CLINIC_ID WHERE t_kc21.MED_CLINIC_ID = '33531671277'
|
css
|
CREATE TABLE table_train_108 (
"id" int,
"mini_mental_state_examination_mmse" int,
"systolic_blood_pressure_sbp" int,
"hemoglobin_a1c_hba1c" float,
"deficiency_to_iga" bool,
"diastolic_blood_pressure_dbp" int,
"body_mass_index_bmi" float,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- body mass index >= 18 and <= 32 kg / m2 at screening
|
SELECT * FROM table_train_108 WHERE body_mass_index_bmi >= 18 AND body_mass_index_bmi <= 32
|
criteria2sql
|
CREATE TABLE customer (
cust_ID varchar(3),
cust_name varchar(20),
acc_type char(1),
acc_bal int,
no_of_loans int,
credit_score int,
branch_ID int,
state varchar(20)
)
CREATE TABLE bank (
branch_ID int,
bname varchar(20),
no_of_customers int,
city varchar(10),
state varchar(20)
)
CREATE TABLE loan (
loan_ID varchar(3),
loan_type varchar(15),
cust_ID varchar(3),
branch_ID varchar(3),
amount int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me a histogram for what are the different names and credit scores of customers who have taken a loan?, and I want to order X in asc order please.
|
SELECT cust_name, credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_ID = T2.cust_ID ORDER BY cust_name
|
nvbench
|
CREATE TABLE table_name_87 (
city___state VARCHAR,
winner VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the city/state of the circuit where Russell Ingall Larry Perkins was the winner?
|
SELECT city___state FROM table_name_87 WHERE winner = "russell ingall larry perkins"
|
sql_create_context
|
CREATE TABLE table_20624 (
"No." real,
"Name" text,
"Mi from Kingston" text,
"Km from Kingston" text,
"Parish" text,
"Length feet" real,
"Length meters" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many feet in length are there when the length is 106.1 meters?
|
SELECT COUNT("Length feet") FROM table_20624 WHERE "Length meters" = '106.1'
|
wikisql
|
CREATE TABLE table_203_8 (
id number,
"player" text,
"rec." number,
"yards" number,
"avg." number,
"td's" number,
"long" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which player did not have positive yardage ?
|
SELECT "player" FROM table_203_8 WHERE "yards" <= 0
|
squall
|
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest salary in departments with average salary greater than the overall average. Plot them as bar chart.
|
SELECT dept_name, MIN(salary) FROM instructor GROUP BY dept_name
|
nvbench
|
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those records from the products and each product's manufacturer, give me the comparison about the sum of manufacturer over the headquarter , and group by attribute headquarter by a bar chart, could you list by the total number in ascending?
|
SELECT Headquarter, SUM(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY SUM(Manufacturer)
|
nvbench
|
CREATE TABLE mzjzjlb (
YLJGDM text,
JZLSH text,
KH text,
KLX number,
MJZH text,
HZXM text,
NLS number,
NLY number,
ZSEBZ number,
JZZTDM number,
JZZTMC text,
JZJSSJ time,
TXBZ number,
ZZBZ number,
WDBZ number,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
ZZYSGH text,
QTJZYSGH text,
JZZDBM text,
JZZDSM text,
MZZYZDZZBM text,
MZZYZDZZMC text,
SG number,
TZ number,
TW number,
SSY number,
SZY number,
XL number,
HXPLC number,
ML number,
JLSJ time
)
CREATE TABLE jyjgzbb (
JYZBLSH text,
YLJGDM text,
BGDH text,
BGRQ time,
JYRQ time,
JCRGH text,
JCRXM text,
SHRGH text,
SHRXM text,
JCXMMC text,
JCZBDM text,
JCFF text,
JCZBMC text,
JCZBJGDX text,
JCZBJGDL number,
JCZBJGDW text,
SBBM text,
YQBH text,
YQMC text,
CKZFWDX text,
CKZFWXX number,
CKZFWSX number,
JLDW text
)
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
JYKSBM text,
JYKSMC text,
BGJGDM text,
BGJGMC text,
SQRQ time,
CJRQ time,
JYRQ time,
BGSJ time,
BBDM text,
BBMC text,
JYBBH text,
BBZT number,
BBCJBW text,
JSBBSJ time,
JYXMMC text,
JYXMDM text,
JYSQJGMC text,
JYJGMC text,
JSBBRQSJ time,
JYJSQM text,
JYJSGH text
)
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 在2008年10月2日到2019年11月28日内医生65472198有多少门诊病人？
|
SELECT COUNT(DISTINCT hz_info.RYBH) FROM hz_info JOIN mzjzjlb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE mzjzjlb.ZZYSGH = '65472198' AND mzjzjlb.JZKSRQ BETWEEN '2008-10-02' AND '2019-11-28'
|
css
|
CREATE TABLE table_3186 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" text,
"Result" text,
"Candidates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When dennis ross (r) unopposed is the candidate what is the party?
|
SELECT "Party" FROM table_3186 WHERE "Candidates" = 'Dennis Ross (R) unopposed'
|
wikisql
|
CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tutor_ATB VARCHAR(3),
login_name VARCHAR(40),
password VARCHAR(40),
personal_name VARCHAR(80),
middle_name VARCHAR(80),
family_name VARCHAR(80),
gender_mf VARCHAR(1),
address_line_1 VARCHAR(80)
)
CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_of_completion DATETIME
)
CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the number of the latest logon date of the students whose family name is 'Jaskolski' or 'Langosh', and could you list y axis in ascending order?
|
SELECT date_of_latest_logon, COUNT(date_of_latest_logon) FROM Students WHERE family_name = "Jaskolski" OR family_name = "Langosh" ORDER BY COUNT(date_of_latest_logon)
|
nvbench
|
CREATE TABLE table_name_17 (
scorer VARCHAR,
club VARCHAR,
league_goals VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which scorer plays for Aldershot and has scored a total of 19 League goals?
|
SELECT scorer FROM table_name_17 WHERE club = "aldershot" AND league_goals = "19"
|
sql_create_context
|
CREATE TABLE table_name_41 (
score VARCHAR,
opponent_in_the_final VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score of the tournament with olivier dela tre as the opponent in the final?
|
SELECT score FROM table_name_41 WHERE opponent_in_the_final = "olivier delaître"
|
sql_create_context
|
CREATE TABLE table_43669 (
"Match" text,
"Date" text,
"Location" text,
"Lineup" text,
"Result" text,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Match has a Competition of Group Stage on 2000-09-17?
|
SELECT "Match" FROM table_43669 WHERE "Competition" = 'group stage' AND "Date" = '2000-09-17'
|
wikisql
|
CREATE TABLE table_name_8 (
deleted VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- On what date was Anniston Army Depot (SE Industrial Area) deleted?
|
SELECT deleted FROM table_name_8 WHERE name = "anniston army depot (se industrial area)"
|
sql_create_context
|
CREATE TABLE table_name_79 (
score VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the score when the opponent is ann grossman?
|
SELECT score FROM table_name_79 WHERE opponent = "ann grossman"
|
sql_create_context
|
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id 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 instructor (
instructor_id int,
name varchar,
uniqname 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 ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE area (
course_id int,
area 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 jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Do any classes not have lab sessions ?
|
SELECT DISTINCT name, number FROM course WHERE department = 'EECS' AND has_lab = 'N'
|
advising
|
CREATE TABLE table_14577 (
"Pos." text,
"Player" text,
"Team" text,
"Height" text,
"Weight" real,
"First round" real,
"Final round" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the pos for the New York Knicks?
|
SELECT "Pos." FROM table_14577 WHERE "Team" = 'new york knicks'
|
wikisql
|
CREATE TABLE table_30923 (
"Stage" real,
"Winner" text,
"General classification" text,
"Mountains Classification" text,
"Points classification" text,
"Sprints Classification" text,
"Team Classification" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the points classification for levi leipheimer
|
SELECT "Points classification" FROM table_30923 WHERE "General classification" = 'Levi Leipheimer'
|
wikisql
|
CREATE TABLE table_32389 (
"Player" text,
"Home Town" text,
"College/Prior" text,
"Drafting Team" text,
"Graduated" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- From what town was Steve Zakuani?
|
SELECT "Home Town" FROM table_32389 WHERE "Player" = 'steve zakuani'
|
wikisql
|
CREATE TABLE table_69565 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which loss has a Date of april 26?
|
SELECT "Loss" FROM table_69565 WHERE "Date" = 'april 26'
|
wikisql
|
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