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stringlengths 151
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CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE 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 labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label 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 transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE 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 chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the last time of intake of patient 3277 on 07/30/this year?
| SELECT inputevents_cv.charttime FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3277)) AND DATETIME(inputevents_cv.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', inputevents_cv.charttime) = '07-30' ORDER BY inputevents_cv.charttime DESC LIMIT 1 | mimic_iii |
CREATE TABLE table_30013 (
"Series #" real,
"Episode #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which episodes did Katie Palmer write?
| SELECT "Title" FROM table_30013 WHERE "Written by" = 'Katie Palmer' | wikisql |
CREATE TABLE table_52183 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- I want the attendance for week larger than 10 and result of l 22-21
| SELECT "Attendance" FROM table_52183 WHERE "Week" > '10' AND "Result" = 'l 22-21' | wikisql |
CREATE TABLE table_40336 (
"Year" text,
"GP/GS" text,
"Shots" real,
"Goals" real,
"Assists" real,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest Shots with a Point that is larger than 32?
| SELECT MIN("Shots") FROM table_40336 WHERE "Points" > '32' | wikisql |
CREATE TABLE table_43032 (
"Maximum Ceiling Temperature" text,
"Temperature Rating" text,
"Temperature Classification" text,
"Color Code (with Fusible Link)" text,
"Glass Bulb Color" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the temperature rating of the intermediate temperature classification?
| SELECT "Temperature Rating" FROM table_43032 WHERE "Temperature Classification" = 'intermediate' | wikisql |
CREATE TABLE table_13899 (
"Heat" real,
"Lane" real,
"Name" text,
"Nationality" text,
"Time" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many heats does Julia Wilkinson have?
| SELECT COUNT("Heat") FROM table_13899 WHERE "Name" = 'julia wilkinson' | wikisql |
CREATE TABLE table_39753 (
"Office" text,
"Democratic ticket" text,
"Republican ticket" text,
"Socialist ticket" text,
"Workers ticket" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Office when the Republican ticket shows seymour lowman?
| SELECT "Office" FROM table_39753 WHERE "Republican ticket" = 'seymour lowman' | wikisql |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients whose gender is m and diagnoses short title is opioid dependence-contin?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.short_title = "Opioid dependence-contin" | mimicsql_data |
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 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)
)
CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
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 Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A bar chart for finding the number of the dates of the tests taken with result 'Pass', sort Y-axis in descending order.
| SELECT date_test_taken, COUNT(date_test_taken) FROM Student_Tests_Taken WHERE test_result = "Pass" GROUP BY date_test_taken ORDER BY COUNT(date_test_taken) DESC | nvbench |
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE 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,
jybgb_BBCJBW text,
jybgb_BBDM text,
jybgb_BBMC text,
jybgb_BBZT number,
jybgb_BGJGDM text,
jybgb_BGJGMC text,
jybgb_BGRGH text,
jybgb_BGRQ time,
jybgb_BGRXM text,
jybgb_BGSJ time,
jybgb_CJRQ time,
jybgb_JSBBRQSJ time,
jybgb_JSBBSJ time,
jybgb_JYBBH text,
jybgb_JYJGMC text,
jybgb_JYJSGH text,
jybgb_JYJSQM text,
jybgb_JYKSBM text,
jybgb_JYKSMC text,
jybgb_JYLX number,
jybgb_JYRQ time,
jybgb_JYSQJGMC text,
jybgb_JYXMDM text,
jybgb_JYXMMC text,
jybgb_JZLSH text,
jybgb_JZLSH_MZJZJLB text,
jybgb_JZLSH_ZYJZJLB text,
jybgb_JZLX number,
jybgb_KSBM text,
jybgb_KSMC text,
jybgb_SHRGH text,
jybgb_SHRXM text,
jybgb_SHSJ time,
jybgb_SQKS text,
jybgb_SQKSMC text,
jybgb_SQRGH text,
jybgb_SQRQ time,
jybgb_SQRXM text,
jybgb_YLJGDM_MZJZJLB text,
jybgb_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.
-- 病患去门诊诊断为器质性精神综合征时的同型半胱氨酸数据的平均值以及最值分别是多少？
| SELECT AVG(jyjgzbb.JCZBJGDL), MIN(jyjgzbb.JCZBJGDL), MAX(jyjgzbb.JCZBJGDL) FROM mzjzjlb JOIN jyjgzbb ON mzjzjlb.YLJGDM = jyjgzbb.jybgb_YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jyjgzbb.jybgb_JZLSH_MZJZJLB WHERE mzjzjlb.JZZDSM = '器质性精神综合征' AND jyjgzbb.JCZBMC = '同型半胱氨酸' | css |
CREATE TABLE personfriend (
name text,
friend text,
year number
)
CREATE TABLE person (
name text,
age number,
city text,
gender text,
job text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the person who has exactly one friend.
| SELECT name FROM personfriend GROUP BY name HAVING COUNT(*) = 1 | spider |
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- i want the list of DAILY flights from MILWAUKEE to ST. LOUIS
| SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'MILWAUKEE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ST. LOUIS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.flight_days = 'DAILY' | atis |
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 Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_of_completion DATETIME
)
CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
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)
)
CREATE TABLE Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Draw a bar chart about the distribution of login_name and gender_mf .
| SELECT login_name, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name | nvbench |
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_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 gwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE fgwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 编号为4821131的这个医院的医疗记录中，出院诊断为T22.309的最低医疗费总额是多少？最高医疗费总额是多少
| SELECT MIN(t_kc24.MED_AMOUT), MAX(t_kc24.MED_AMOUT) FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID IN (SELECT gwyjzb.MED_CLINIC_ID FROM gwyjzb WHERE gwyjzb.MED_SER_ORG_NO = '4821131' AND gwyjzb.OUT_DIAG_DIS_CD = 'T22.309' UNION SELECT fgwyjzb.MED_CLINIC_ID FROM fgwyjzb WHERE fgwyjzb.MED_SER_ORG_NO = '4821131' AND fgwyjzb.OUT_DIAG_DIS_CD = 'T22.309') | css |
CREATE TABLE table_name_75 (
position INTEGER,
drawn VARCHAR,
points VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- At what average position is the drawn 9 and the points greater than 25?
| SELECT AVG(position) FROM table_name_75 WHERE drawn = 9 AND points > 25 | sql_create_context |
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 ReviewTaskResultTypes (
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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment 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 PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId 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 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 PostTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
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 SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For generating a list of plain-text links to remaining posts with default alt text.
| SELECT 'http://meta.judaism.stackexchange.com/a/' + CAST(Id AS TEXT) + ' ' FROM Posts WHERE (Body LIKE '%alt text%' OR Body LIKE '%enter image description here%') AND (Title IS NULL OR NOT Title LIKE '%alt text%') ORDER BY Id | sede |
CREATE TABLE table_19018191_5 (
l_apps VARCHAR,
total_g VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the number of apps for total g is 8
| SELECT COUNT(l_apps) FROM table_19018191_5 WHERE total_g = 8 | sql_create_context |
CREATE TABLE table_30253 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many pick# for CFL team of Toronto Argonauts?
| SELECT COUNT("Pick #") FROM table_30253 WHERE "CFL Team" = 'Toronto Argonauts' | wikisql |
CREATE TABLE table_47624 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" real,
"Time" text,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What event had the opponent Ryan Bow?
| SELECT "Event" FROM table_47624 WHERE "Opponent" = 'ryan bow' | wikisql |
CREATE TABLE table_79783 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When was the record 27-25?
| SELECT "Date" FROM table_79783 WHERE "Record" = '27-25' | wikisql |
CREATE TABLE table_name_2 (
drawn VARCHAR,
cambridge_united_career VARCHAR,
lost VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many draws have a Cambridge United career of 2008 2009 and less than 13 losses?
| SELECT COUNT(drawn) FROM table_name_2 WHERE cambridge_united_career = "2008–2009" AND lost < 13 | sql_create_context |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many patients are diagnosed with icd9 code 5679 and had a main drug type?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "5679" AND prescriptions.drug_type = "MAIN" | mimicsql_data |
CREATE TABLE table_47995 (
"Year" real,
"Network" text,
"Title" text,
"Notes" text,
"Language" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the notes for Happy Camp?
| SELECT "Notes" FROM table_47995 WHERE "Title" = 'happy camp' | wikisql |
CREATE TABLE table_203_724 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many countries do not have any gold medals ?
| SELECT COUNT("nation") FROM table_203_724 WHERE "gold" = 0 | squall |
CREATE TABLE organisation_types (
organisation_type text,
organisation_type_description text
)
CREATE TABLE grants (
grant_id number,
organisation_id number,
grant_amount number,
grant_start_date time,
grant_end_date time,
other_details text
)
CREATE TABLE documents (
document_id number,
document_type_code text,
grant_id number,
sent_date time,
response_received_date time,
other_details text
)
CREATE TABLE staff_roles (
role_code text,
role_description text
)
CREATE TABLE research_outcomes (
outcome_code text,
outcome_description text
)
CREATE TABLE research_staff (
staff_id number,
employer_organisation_id number,
staff_details text
)
CREATE TABLE tasks (
task_id number,
project_id number,
task_details text,
eg agree objectives text
)
CREATE TABLE projects (
project_id number,
organisation_id number,
project_details text
)
CREATE TABLE project_outcomes (
project_id number,
outcome_code text,
outcome_details text
)
CREATE TABLE project_staff (
staff_id number,
project_id number,
role_code text,
date_from time,
date_to time,
other_details text
)
CREATE TABLE organisations (
organisation_id number,
organisation_type text,
organisation_details text
)
CREATE TABLE document_types (
document_type_code text,
document_description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the result description of the project whose detail is 'sint'?
| SELECT T1.outcome_description FROM research_outcomes AS T1 JOIN project_outcomes AS T2 ON T1.outcome_code = T2.outcome_code JOIN projects AS T3 ON T2.project_id = T3.project_id WHERE T3.project_details = 'sint' | 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose ethnicity is white and age is less than 49?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.age < "49" | mimicsql_data |
CREATE TABLE table_71338 (
"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 opponent led to a 56-59 record?
| SELECT "Opponent" FROM table_71338 WHERE "Record" = '56-59' | wikisql |
CREATE TABLE table_38377 (
"Team" text,
"Manufacturer" text,
"Car model" text,
"Engine" text,
"Driver" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Car Model has the Manufacturer of Saab, and Driver Dean Randle?
| SELECT "Car model" FROM table_38377 WHERE "Manufacturer" = 'saab' AND "Driver" = 'dean randle' | wikisql |
CREATE TABLE table_name_39 (
location VARCHAR,
years_in_gfl VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the location where the Years in GFL was 1988-?
| SELECT location FROM table_name_39 WHERE years_in_gfl = "1988-" | sql_create_context |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose year of death is less than or equal to 2174?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.dod_year <= "2174.0" | mimicsql_data |
CREATE TABLE table_30555 (
"Pick #" real,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text,
"College/junior/club team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which team drafted Ron Annear?
| SELECT "NHL team" FROM table_30555 WHERE "Player" = 'Ron Annear' | wikisql |
CREATE TABLE table_name_62 (
place VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where did Jay Haas place?
| SELECT place FROM table_name_62 WHERE player = "jay haas" | sql_create_context |
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time, I want to list by the sum department id in ascending.
| SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(DEPARTMENT_ID) | nvbench |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose year of death is less than or equal to 2174 and lab test fluid is pleural?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2174.0" AND lab.fluid = "Pleural" | mimicsql_data |
CREATE TABLE table_74098 (
"Institution" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Team Nickname" text,
"Primary conference" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many primary conferences were held in Allendale, Michigan?
| SELECT COUNT("Primary conference") FROM table_74098 WHERE "Location" = 'Allendale, Michigan' | wikisql |
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the three most common procedure given to patients aged 60 or above until 4 years ago?
| SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age >= 60) AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 <= 3 | eicu |
CREATE TABLE table_25740774_1 (
position VARCHAR,
season VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many positions are shown for the 2010 season?
| SELECT COUNT(position) FROM table_25740774_1 WHERE season = 2010 | sql_create_context |
CREATE TABLE table_203_478 (
id number,
"week" number,
"date" text,
"opponent" text,
"result" text,
"attendance" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- when was their second win ?
| SELECT "date" FROM table_203_478 WHERE "result" = 'w' AND "date" > (SELECT "date" FROM table_203_478 WHERE "result" = 'w' ORDER BY "date" LIMIT 1) ORDER BY "date" LIMIT 1 | squall |
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- could you please tell me the airlines that fly from TORONTO to SAN DIEGO
| SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'TORONTO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN DIEGO' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | atis |
CREATE TABLE table_204_713 (
id number,
"rank" number,
"bib" number,
"athlete" text,
"country" text,
"time" text,
"deficit" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- did marcus hellner or jean marc gaillard rank tenth ?
| SELECT "athlete" FROM table_204_713 WHERE "rank" = 10 | squall |
CREATE TABLE table_203_865 (
id number,
"place" number,
"athlete" text,
"nation" text,
"best mark" text,
"throw 1" number,
"throw 2" number,
"throw 3" number,
"throw 4" number,
"throw 5" number,
"throw 6" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which athlete placed top ?
| SELECT "athlete" FROM table_203_865 ORDER BY "place" LIMIT 1 | squall |
CREATE TABLE table_65475 (
"School" text,
"Location" text,
"Mascot" text,
"Enrollment" real,
"IHSAA Class" text,
"County" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What counties mascot are the Red Ramblers?
| SELECT "County" FROM table_65475 WHERE "Mascot" = 'red ramblers' | wikisql |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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.
-- provide the number of patients whose days of hospital stay is greater than 6 and lab test category is hematology?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "6" AND lab."CATEGORY" = "Hematology" | mimicsql_data |
CREATE TABLE table_name_94 (
election_date VARCHAR,
member VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the election date for the electorate of member charles brown category:articles with hcards?
| SELECT election_date FROM table_name_94 WHERE member = "charles brown category:articles with hcards" | 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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is admission location and diagnoses short title of subject id 98220?
| SELECT demographic.admission_location, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "98220" | mimicsql_data |
CREATE TABLE ref_incident_type (
incident_type_code text,
incident_type_description text
)
CREATE TABLE teachers (
teacher_id number,
address_id number,
first_name text,
middle_name text,
last_name text,
gender text,
cell_mobile_number text,
email_address text,
other_details text
)
CREATE TABLE ref_address_types (
address_type_code text,
address_type_description text
)
CREATE TABLE detention (
detention_id number,
detention_type_code text,
teacher_id number,
datetime_detention_start time,
datetime_detention_end time,
detention_summary text,
other_details text
)
CREATE TABLE student_addresses (
student_id number,
address_id number,
date_address_from time,
date_address_to time,
monthly_rental number,
other_details text
)
CREATE TABLE students (
student_id number,
address_id number,
first_name text,
middle_name text,
last_name text,
cell_mobile_number text,
email_address text,
date_first_rental time,
date_left_university time,
other_student_details text
)
CREATE TABLE students_in_detention (
student_id number,
detention_id number,
incident_id number
)
CREATE TABLE assessment_notes (
notes_id number,
student_id number,
teacher_id number,
date_of_notes time,
text_of_notes text,
other_details text
)
CREATE TABLE addresses (
address_id number,
line_1 text,
line_2 text,
line_3 text,
city text,
zip_postcode text,
state_province_county text,
country text,
other_address_details text
)
CREATE TABLE ref_detention_type (
detention_type_code text,
detention_type_description text
)
CREATE TABLE behavior_incident (
incident_id number,
incident_type_code text,
student_id number,
date_incident_start time,
date_incident_end time,
incident_summary text,
recommendations text,
other_details text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the line 1 and average monthly rentals of all student addresses?
| SELECT T1.line_1, AVG(T2.monthly_rental) FROM addresses AS T1 JOIN student_addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id | spider |
CREATE TABLE table_19517448_3 (
yards_per_attempt VARCHAR,
total_yards VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many yards per attempt were there when total yards were 513?
| SELECT yards_per_attempt FROM table_19517448_3 WHERE total_yards = "513" | sql_create_context |
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE 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_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 microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how old was patient 1258's age on the last hospital encounter?
| SELECT admissions.age FROM admissions WHERE admissions.subject_id = 1258 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1 | mimic_iii |
CREATE TABLE table_20370 (
"N\u00b0" real,
"Television service" text,
"Country" text,
"Language" text,
"Content" text,
"DAR" text,
"HDTV" text,
"Package/Option" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many values of HDTV apply when television service is elite shopping tv?
| SELECT COUNT("HDTV") FROM table_20370 WHERE "Television service" = 'Elite Shopping TV' | wikisql |
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE 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 PostTypes (
Id number,
Name text
)
CREATE TABLE PostTags (
PostId number,
TagId 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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
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 ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
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 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 FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId 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 ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Test for Language Percentages over Time.
| SELECT Name, YEAR(p.CreationDate) AS Year, MONTH(p.CreationDate) AS Month, COUNT(*) AS Posts, p.CommentCount AS CommentCount, p.Id AS ID FROM Posts AS p CROSS JOIN (VALUES ('C')) AS Language(Name) WHERE (SUBSTRING(p.Body, 0, STR_POSITION(p.Body, CHAR(10))) LIKE '%_>,\_' + name + ',_:\%') GROUP BY Name, YEAR(p.CreationDate), MONTH(p.CreationDate), p.CommentCount, p.Id | sede |
CREATE TABLE table_name_95 (
tournament VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Tournament had a Score of 4 6, 6 7, 3 6?
| SELECT tournament FROM table_name_95 WHERE score = "4–6, 6–7, 3–6" | sql_create_context |
CREATE TABLE table_name_75 (
position VARCHAR,
school_club_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What position is listed for the nebraska team?
| SELECT position FROM table_name_75 WHERE school_club_team = "nebraska" | sql_create_context |
CREATE TABLE table_name_11 (
prize VARCHAR,
winner VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the prize for winner benny spindler?
| SELECT prize FROM table_name_11 WHERE winner = "benny spindler" | sql_create_context |
CREATE TABLE table_name_66 (
date VARCHAR,
sport VARCHAR,
record VARCHAR,
time__seconds_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Date, when the Record is, 'track', when the Time (seconds) is longer than 43.564, and when the Sport is luge - women's singles?
| SELECT date FROM table_name_66 WHERE record = "track" AND time__seconds_ > 43.564 AND sport = "luge - women's singles" | sql_create_context |
CREATE TABLE table_name_37 (
laps INTEGER,
time_retired VARCHAR,
grid VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the highest laps for time/retired of engine and grid of 5
| SELECT MAX(laps) FROM table_name_37 WHERE time_retired = "engine" AND grid = 5 | sql_create_context |
CREATE TABLE table_78419 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In the game where the home team scored 15.17 (107), who was the away team?
| SELECT "Away team" FROM table_78419 WHERE "Home team score" = '15.17 (107)' | wikisql |
CREATE TABLE table_name_58 (
score VARCHAR,
opposition VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What score has Leicestershire as the opponent after 1906?
| SELECT score FROM table_name_58 WHERE opposition = "leicestershire" AND year > 1906 | sql_create_context |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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.
-- give me the number of patients whose discharge location is snf and primary disease is left internal jugular vein thrombosis;left arm edema?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SNF" AND demographic.diagnosis = "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA" | mimicsql_data |
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE 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 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_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
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 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost 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.
-- how much is the changes in arterial bp mean of patient 28959 second measured on the first icu visit compared to the first value measured on the first icu visit?
| SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28959) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 OFFSET 1) - (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28959) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1) | mimic_iii |
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 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_items (
row_id number,
itemid number,
label text,
linksto 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 outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value 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 procedures_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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the minimum hospital cost that involves a free skin graft nec since 2105?
| SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'free skin graft nec')) AND STRFTIME('%y', cost.chargetime) >= '2105' GROUP BY cost.hadm_id) AS t1 | mimic_iii |
CREATE TABLE claims_processing_stages (
claim_status_description VARCHAR,
claim_status_name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the description of the claim status 'Open'?
| SELECT claim_status_description FROM claims_processing_stages WHERE claim_status_name = "Open" | sql_create_context |
CREATE TABLE table_name_45 (
name VARCHAR,
shoulder VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the gun with a shoulder that measures 10.688 (.420)?
| SELECT name FROM table_name_45 WHERE shoulder = "10.688 (.420)" | sql_create_context |
CREATE TABLE table_name_10 (
d_47 VARCHAR,
d_42 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the D 47 which has D 42 of d 22
| SELECT d_47 FROM table_name_10 WHERE d_42 = "d 22" | sql_create_context |
CREATE TABLE table_12962773_5 (
height VARCHAR,
position VARCHAR,
current_club VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what's the height with position being forward and current club being real madrid
| SELECT height FROM table_12962773_5 WHERE position = "Forward" AND current_club = "Real Madrid" | sql_create_context |
CREATE TABLE table_17714 (
"Name of System" text,
"Location" text,
"Traction Type" text,
"Date (From)" text,
"Date (To)" text,
"Notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the date (from) where the notes are apeldoornsche tramweg-maatschappij?
| SELECT "Date (From)" FROM table_17714 WHERE "Notes" = 'Apeldoornsche Tramweg-Maatschappij' | wikisql |
CREATE TABLE airlines (
alid number,
name text,
iata text,
icao text,
callsign text,
country text,
active text
)
CREATE TABLE airports (
apid number,
name text,
city text,
country text,
x number,
y number,
elevation number,
iata text,
icao text
)
CREATE TABLE routes (
rid number,
dst_apid number,
dst_ap text,
src_apid number,
src_ap text,
alid number,
airline text,
codeshare text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the id of routes whose source and destination airports are in the United States.
| SELECT rid FROM routes WHERE dst_apid IN (SELECT apid FROM airports WHERE country = 'United States') AND src_apid IN (SELECT apid FROM airports WHERE country = 'United States') | spider |
CREATE TABLE table_33661 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Replaced by" text,
"Date of appointment" text,
"Position in table" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the replacement manager for the Bolton Wanderers?
| SELECT "Replaced by" FROM table_33661 WHERE "Team" = 'bolton wanderers' | wikisql |
CREATE TABLE table_48108 (
"Rank" real,
"Title" text,
"Studio" text,
"Director" text,
"Worldwide Gross" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average rank for the film directed by michael bay?
| SELECT AVG("Rank") FROM table_48108 WHERE "Director" = 'michael bay' | wikisql |
CREATE TABLE table_75789 (
"Date" text,
"Time" text,
"Home" text,
"Away" text,
"Score" text,
"Ground" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who has the Home Score of 52-54?
| SELECT "Home" FROM table_75789 WHERE "Score" = '52-54' | wikisql |
CREATE TABLE table_51014 (
"Constituency" text,
"Electorate" real,
"Votes" real,
"Turnout" real,
"Spoilt" real,
"Percent Yes" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT IS THE AVERAGE VOTE FOR DUBLIN SOUTH, AND SPOILT SMALLER THAN 3,387?
| SELECT AVG("Votes") FROM table_51014 WHERE "Constituency" = 'dublin south' AND "Spoilt" < '3,387' | wikisql |
CREATE TABLE table_70316 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the Blue Jays lowest attendance when their record was 52-48?
| SELECT MIN("Attendance") FROM table_70316 WHERE "Record" = '52-48' | wikisql |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many of the patients on government insurance had aortocor bypas-2 cor art?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Aortocor bypas-2 cor art" | mimicsql_data |
CREATE TABLE table_name_9 (
date VARCHAR,
game_site VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Date was the Game at Griffith Stadium?
| SELECT date FROM table_name_9 WHERE game_site = "griffith stadium" | sql_create_context |
CREATE TABLE table_49416 (
"Game" real,
"November" real,
"Opponent" text,
"Score" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the earliest day in November with a record of 15-7-1?
| SELECT MIN("November") FROM table_49416 WHERE "Record" = '15-7-1' | wikisql |
CREATE TABLE table_name_87 (
position VARCHAR,
overall VARCHAR,
college VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the position with an overall less than 128 for Brigham Young college?
| SELECT position FROM table_name_87 WHERE overall < 128 AND college = "brigham young" | sql_create_context |
CREATE TABLE table_name_40 (
opponent VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What opponent has December 6, 1964 as the date?
| SELECT opponent FROM table_name_40 WHERE date = "december 6, 1964" | sql_create_context |
CREATE TABLE party (
party_id number,
party_theme text,
location text,
first_year text,
last_year text,
number_of_hosts number
)
CREATE TABLE host (
host_id number,
name text,
nationality text,
age text
)
CREATE TABLE party_host (
party_id number,
host_id number,
is_main_in_charge others
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the nations that have both hosts older than 45 and hosts younger than 35.
| SELECT nationality FROM host WHERE age > 45 INTERSECT SELECT nationality FROM host WHERE age < 35 | spider |
CREATE TABLE nuclear_power_plants (
id text,
name text,
latitude text,
longitude text,
country text,
status text,
reactortype text,
reactormodel text,
constructionstartat text,
operationalfrom text,
operationalto text,
capacity text,
lastupdatedat text,
source text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where is the first BWR type power plant built and located?
| SELECT longitude, latitude FROM nuclear_power_plants WHERE reactortype = "BWR" ORDER BY constructionstartat LIMIT 1 | geonucleardata |
CREATE TABLE table_29712 (
"Conference" text,
"Old membership total" real,
"New membership total" real,
"Net change" text,
"Members added" real,
"Members lost" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the new membership total at the nchc (men only) conference?
| SELECT "New membership total" FROM table_29712 WHERE "Conference" = 'NCHC (men only)' | wikisql |
CREATE TABLE table_name_65 (
home_team VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Home team is on Wednesday, 25 february 1998?
| SELECT home_team FROM table_name_65 WHERE date = "wednesday, 25 february 1998" | sql_create_context |
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
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 station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the dates with a maximum temperature higher than 85, and count them by a line chart, and show by the X-axis in descending.
| SELECT date, COUNT(date) FROM weather WHERE max_temperature_f > 85 GROUP BY date ORDER BY date DESC | nvbench |
CREATE TABLE table_name_60 (
score VARCHAR,
partner VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score when the partner was arnaud cl ment?
| SELECT score FROM table_name_60 WHERE partner = "arnaud clément" | sql_create_context |
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
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 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 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 procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the drug which was prescribed to patient 58649 within 2 days after undergoing lt heart angiocardiogram in 08/last year?
| SELECT t2.drug FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 58649 AND procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'lt heart angiocardiogram') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', procedures_icd.charttime) = '08') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 58649 AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', prescriptions.startdate) = '08') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 day') | mimic_iii |
CREATE TABLE table_1108394_6 (
staten_island VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the republican candidate in 2013 when Staten Island was 451?
| SELECT 2013 AS _republican_primary FROM table_1108394_6 WHERE staten_island = "451" | sql_create_context |
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostHistoryTypes (
Id number,
Name 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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId 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 ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Answers By Vote Count and Tag.
| SELECT MIN(a.OwnerUserId), COUNT(a.Id) FROM Posts AS q INNER JOIN Posts AS a ON q.Id = a.ParentId INNER JOIN PostTags AS pt ON pt.PostId = q.Id WHERE NOT a.OwnerUserId IS NULL AND a.PostTypeId = 2 AND a.Score > @MinVoteCount AND pt.TagId = @StartTagId GROUP BY a.OwnerUserId | sede |
CREATE TABLE team (
year number,
league_id text,
team_id text,
franchise_id text,
div_id text,
rank number,
g number,
ghome number,
w number,
l number,
div_win text,
wc_win text,
lg_win text,
ws_win text,
r number,
ab number,
h number,
double number,
triple number,
hr number,
bb number,
so number,
sb number,
cs number,
hbp number,
sf number,
ra number,
er number,
era number,
cg number,
sho number,
sv number,
ipouts number,
ha number,
hra number,
bba number,
soa number,
e number,
dp number,
fp number,
name text,
park text,
attendance number,
bpf number,
ppf number,
team_id_br text,
team_id_lahman45 text,
team_id_retro text
)
CREATE TABLE pitching (
player_id text,
year number,
stint number,
team_id text,
league_id text,
w number,
l number,
g number,
gs number,
cg number,
sho number,
sv number,
ipouts number,
h number,
er number,
hr number,
bb number,
so number,
baopp number,
era number,
ibb number,
wp number,
hbp number,
bk number,
bfp number,
gf number,
r number,
sh number,
sf number,
g_idp number
)
CREATE TABLE manager_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
notes number
)
CREATE TABLE player_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
notes text
)
CREATE TABLE batting_postseason (
year number,
round text,
player_id text,
team_id text,
league_id text,
g number,
ab number,
r number,
h number,
double number,
triple number,
hr number,
rbi number,
sb number,
cs number,
bb number,
so number,
ibb number,
hbp number,
sh number,
sf number,
g_idp number
)
CREATE TABLE park (
park_id text,
park_name text,
park_alias text,
city text,
state text,
country text
)
CREATE TABLE pitching_postseason (
player_id text,
year number,
round text,
team_id text,
league_id text,
w number,
l number,
g number,
gs number,
cg number,
sho number,
sv number,
ipouts number,
h number,
er number,
hr number,
bb number,
so number,
baopp text,
era number,
ibb number,
wp number,
hbp number,
bk number,
bfp number,
gf number,
r number,
sh number,
sf number,
g_idp number
)
CREATE TABLE manager_half (
player_id text,
year number,
team_id text,
league_id text,
inseason number,
half number,
g number,
w number,
l number,
rank number
)
CREATE TABLE player_college (
player_id text,
college_id text,
year number
)
CREATE TABLE appearances (
year number,
team_id text,
league_id text,
player_id text,
g_all number,
gs number,
g_batting number,
g_defense number,
g_p number,
g_c number,
g_1b number,
g_2b number,
g_3b number,
g_ss number,
g_lf number,
g_cf number,
g_rf number,
g_of number,
g_dh number,
g_ph number,
g_pr number
)
CREATE TABLE fielding_outfield (
player_id text,
year number,
stint number,
glf number,
gcf number,
grf number
)
CREATE TABLE salary (
year number,
team_id text,
league_id text,
player_id text,
salary number
)
CREATE TABLE home_game (
year number,
league_id text,
team_id text,
park_id text,
span_first text,
span_last text,
games number,
openings number,
attendance number
)
CREATE TABLE player (
player_id text,
birth_year number,
birth_month number,
birth_day number,
birth_country text,
birth_state text,
birth_city text,
death_year number,
death_month number,
death_day number,
death_country text,
death_state text,
death_city text,
name_first text,
name_last text,
name_given text,
weight number,
height number,
bats text,
throws text,
debut text,
final_game text,
retro_id text,
bbref_id text
)
CREATE TABLE postseason (
year number,
round text,
team_id_winner text,
league_id_winner text,
team_id_loser text,
league_id_loser text,
wins number,
losses number,
ties number
)
CREATE TABLE college (
college_id text,
name_full text,
city text,
state text,
country text
)
CREATE TABLE all_star (
player_id text,
year number,
game_num number,
game_id text,
team_id text,
league_id text,
gp number,
starting_pos number
)
CREATE TABLE manager_award_vote (
award_id text,
year number,
league_id text,
player_id text,
points_won number,
points_max number,
votes_first number
)
CREATE TABLE player_award_vote (
award_id text,
year number,
league_id text,
player_id text,
points_won number,
points_max number,
votes_first number
)
CREATE TABLE batting (
player_id text,
year number,
stint number,
team_id text,
league_id text,
g number,
ab number,
r number,
h number,
double number,
triple number,
hr number,
rbi number,
sb number,
cs number,
bb number,
so number,
ibb number,
hbp number,
sh number,
sf number,
g_idp number
)
CREATE TABLE fielding_postseason (
player_id text,
year number,
team_id text,
league_id text,
round text,
pos text,
g number,
gs number,
inn_outs number,
po number,
a number,
e number,
dp number,
tp number,
pb number,
sb number,
cs number
)
CREATE TABLE manager (
player_id text,
year number,
team_id text,
league_id text,
inseason number,
g number,
w number,
l number,
rank number,
plyr_mgr text
)
CREATE TABLE team_half (
year number,
league_id text,
team_id text,
half number,
div_id text,
div_win text,
rank number,
g number,
w number,
l number
)
CREATE TABLE team_franchise (
franchise_id text,
franchise_name text,
active text,
na_assoc text
)
CREATE TABLE hall_of_fame (
player_id text,
yearid number,
votedby text,
ballots number,
needed number,
votes number,
inducted text,
category text,
needed_note text
)
CREATE TABLE fielding (
player_id text,
year number,
stint number,
team_id text,
league_id text,
pos text,
g number,
gs number,
inn_outs number,
po number,
a number,
e number,
dp number,
pb number,
wp number,
sb number,
cs number,
zr number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the name and id of the team with the most victories in 2008 postseason?
| SELECT T2.name, T1.team_id_winner FROM postseason AS T1 JOIN team AS T2 ON T1.team_id_winner = T2.team_id_br WHERE T1.year = 2008 GROUP BY T1.team_id_winner ORDER BY COUNT(*) DESC LIMIT 1 | spider |
CREATE TABLE table_66849 (
"Vehicle Flight #" text,
"Date" text,
"Pilot" text,
"Mach" real,
"Velocity (km/h)" real,
"Altitude (ft)" real,
"Duration" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest altitude of the flight with a mach bigger than 0.905 and a duration of 00:06:17?
| SELECT MIN("Altitude (ft)") FROM table_66849 WHERE "Mach" > '0.905' AND "Duration" = '00:06:17' | wikisql |
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE zyjzjlb_jybgb (
YLJGDM_ZYJZJLB text,
BGDH number,
YLJGDM number
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者13034482在2003年4月25日到2009年2月2日内曾在医院一共就诊多少次？
| SELECT (SELECT COUNT(*) FROM hz_info JOIN mzjzjlb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE hz_info.RYBH = '13034482' AND mzjzjlb.JZKSRQ BETWEEN '2003-04-25' AND '2009-02-02') + (SELECT COUNT(*) FROM hz_info JOIN zyjzjlb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX WHERE hz_info.RYBH = '13034482' AND zyjzjlb.RYDJSJ BETWEEN '2003-04-25' AND '2009-02-02') | css |
CREATE TABLE broadcast (
Channel_ID int,
Program_ID int,
Time_of_day text
)
CREATE TABLE program (
Program_ID int,
Name text,
Origin text,
Launch real,
Owner text
)
CREATE TABLE broadcast_share (
Channel_ID int,
Program_ID int,
Date text,
Share_in_percent real
)
CREATE TABLE channel (
Channel_ID int,
Name text,
Owner text,
Share_in_percent real,
Rating_in_percent real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Count the number of programs broadcast for each time section of a day Show bar chart, could you rank by the the total number in desc?
| SELECT Time_of_day, COUNT(*) FROM broadcast GROUP BY Time_of_day ORDER BY COUNT(*) DESC | nvbench |
CREATE TABLE table_17295 (
"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.
-- Who had the high rebounds when Chris Bosh (16) had the high points?
| SELECT "High rebounds" FROM table_17295 WHERE "High points" = 'Chris Bosh (16)' | wikisql |
CREATE TABLE hz_info_mzjzjlb (
JZLSH number,
YLJGDM number,
mzjzjlb_id number
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE 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 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 mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text,
mzjzjlb_id number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 列出在2003年10月24日到2017年4月14日内患者曹诗蕾被开出多少检验报告单的检验报告单号？
| SELECT jybgb.BGDH FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN hz_info_mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND hz_info_mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.mzjzjlb_id = mzjzjlb.mzjzjlb_id WHERE person_info.XM = '曹诗蕾' AND jybgb.BGRQ BETWEEN '2003-10-24' AND '2017-04-14' UNION SELECT jybgb.BGDH FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb 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 WHERE person_info.XM = '曹诗蕾' AND jybgb.BGRQ BETWEEN '2003-10-24' AND '2017-04-14' | css |
CREATE TABLE table_24990183_5 (
name VARCHAR,
country VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the player from georgia?
| SELECT name FROM table_24990183_5 WHERE country = "Georgia" | sql_create_context |
CREATE TABLE train (
id number,
train_number number,
name text,
origin text,
destination text,
time text,
interval text
)
CREATE TABLE route (
train_id number,
station_id number
)
CREATE TABLE weekly_weather (
station_id number,
day_of_week text,
high_temperature number,
low_temperature number,
precipitation number,
wind_speed_mph number
)
CREATE TABLE station (
id number,
network_name text,
services text,
local_authority text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the number and time of the train that goes from Chennai to Guruvayur.
| SELECT train_number, time FROM train WHERE origin = 'Chennai' AND destination = 'Guruvayur' | spider |
CREATE TABLE table_45334 (
"Year" real,
"Domestic freight" real,
"Domestic mail" real,
"International freight" real,
"International mail" real,
"Total freight and mail" real,
"Change" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How much international mail has a change of +35,7% later than 2008?
| SELECT SUM("International mail") FROM table_45334 WHERE "Change" = '+35,7%' AND "Year" > '2008' | wikisql |
CREATE TABLE table_name_57 (
total VARCHAR,
rank VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total for Rank 11?
| SELECT COUNT(total) FROM table_name_57 WHERE rank = 11 | sql_create_context |
CREATE TABLE table_5927 (
"Year" real,
"Chart" text,
"Track" text,
"Peak" real,
"Weeks on Chart" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many weeks was the track Abrazame on the Billboard Latin Pop airplay before 1997?
| SELECT SUM("Weeks on Chart") FROM table_5927 WHERE "Track" = 'abrazame' AND "Chart" = 'billboard latin pop airplay' AND "Year" < '1997' | wikisql |
CREATE TABLE table_42953 (
"Year" real,
"Actor" text,
"Award" text,
"Motion Picture" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which actor won in 1966?
| SELECT "Actor" FROM table_42953 WHERE "Year" = '1966' | wikisql |
CREATE TABLE roller_coaster (
roller_coaster_id number,
name text,
park text,
country_id number,
length number,
height number,
speed text,
opened text,
status text
)
CREATE TABLE country (
country_id number,
name text,
population number,
area number,
languages text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the lengths and heights of roller coasters?
| SELECT length, height FROM roller_coaster | spider |
CREATE TABLE table_203_502 (
id number,
"team" text,
"titles" number,
"runner-up" number,
"third place" number,
"fourth place" number,
"years participated" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many times has michigan state been runner up ?
| SELECT "runner-up" FROM table_203_502 WHERE "team" = 'michigan state' | squall |
CREATE TABLE bdmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH 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 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 wdmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
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 person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 病人陈淑兰的门诊就诊记录中检验报告日期在2010年2月19日以前的门诊就诊流水号是什么
| SELECT wdmzjzjlb.JZLSH 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 = '陈淑兰' AND NOT wdmzjzjlb.JZLSH IN (SELECT jybgb.JZLSH FROM jybgb WHERE jybgb.BGRQ >= '2010-02-19') UNION SELECT bdmzjzjlb.JZLSH 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 = '陈淑兰' AND NOT bdmzjzjlb.JZLSH IN (SELECT jybgb.JZLSH FROM jybgb WHERE jybgb.BGRQ >= '2010-02-19') | css |
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