instruction stringlengths 151 7.46k | output stringlengths 2 4.44k | source stringclasses 26
values |
|---|---|---|
CREATE TABLE table_24018112_1 (
brand_name VARCHAR,
model__list_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What brand is model I7-8xx?
| SELECT brand_name FROM table_24018112_1 WHERE model__list_ = "i7-8xx" | sql_create_context |
CREATE TABLE zyb (
CLINIC_ID text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN... | SELECT qtb.MED_ORG_DEPT_CD, AVG(t_kc24.OVE_PAY) FROM qtb JOIN t_kc24 ON qtb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE qtb.MED_SER_ORG_NO = '7883638' GROUP BY qtb.MED_ORG_DEPT_CD UNION SELECT gyb.MED_ORG_DEPT_CD, AVG(t_kc24.OVE_PAY) FROM gyb JOIN t_kc24 ON gyb.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE gyb.MED_SER_ORG_... | css |
CREATE TABLE table_22841 (
"Rank" real,
"Race Number" real,
"Name" text,
"NOC" text,
"- 250m" text,
"- 500m" text,
"- 750m" text,
"- 1,000m" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the -250m is 18.852, what is the
| SELECT "- 750m" FROM table_22841 WHERE "- 250m" = '18.852' | wikisql |
CREATE TABLE table_name_90 (
games INTEGER,
season VARCHAR,
average VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the maximum number of games when the season is more recent than 2001 and the average is less than 10,838?
| SELECT MAX(games) FROM table_name_90 WHERE season > 2001 AND average < 10 OFFSET 838 | sql_create_context |
CREATE TABLE table_30033 (
"Series #" real,
"Season #" text,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"U.S. viewers (millions)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the series number fo... | SELECT "Series #" FROM table_30033 WHERE "Season #" = '10' | wikisql |
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose... | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t1.itemid FROM (SELECT labevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM labevents WHERE DATETIME(labevents.charttime) >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY labevents.itemid) AS t1 WHERE t1.c1 <= 4) | mimic_iii |
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varc... | SELECT LAST_NAME, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME | nvbench |
CREATE TABLE table_name_30 (
voltage_range VARCHAR,
fsb_speed VARCHAR,
clock_speed VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the Voltage Range which has a FSB Speed of 400 mhz, and a Clock Speed of 1 ghz?
| SELECT voltage_range FROM table_name_30 WHERE fsb_speed = "400 mhz" AND clock_speed = "1 ghz" | sql_create_context |
CREATE TABLE table_78771 (
"Year" real,
"Competition" text,
"Awards" text,
"Category" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the year that had Anugerah Bintang Popular Berita Harian 23 as competition?
| SELECT COUNT("Year") FROM table_78771 WHERE "Competition" = 'anugerah bintang popular berita harian 23' | wikisql |
CREATE TABLE table_name_11 (
result VARCHAR,
score VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Score of 0 0, and a Date of 02-jan-64 had what result?
| SELECT result FROM table_name_11 WHERE score = "0–0" AND date = "02-jan-64" | sql_create_context |
CREATE TABLE table_name_61 (
music VARCHAR,
notes VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which music has the notes of AKA Africa Uncensored?
| SELECT music FROM table_name_61 WHERE notes = "aka africa uncensored" | 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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" | mimicsql_data |
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Tags (
Id number,
... | SELECT v.PostId AS "post_link" FROM Votes AS v INNER JOIN (SELECT Id, Reputation FROM Users) AS u ON u.Id = v.UserId GROUP BY v.PostId HAVING SUM(CASE WHEN u.Reputation < 200 THEN 1 ELSE 0 END) > 0 AND SUM(CASE WHEN u.Reputation >= 200 THEN 1 ELSE 0 END) = 0 | sede |
CREATE TABLE table_16405 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the pick number of regina?
| SELECT "Pick #" FROM table_16405 WHERE "College" = 'Regina' | wikisql |
CREATE TABLE injury_accident (
game_id int,
id int,
Player text,
Injury text,
Number_of_matches text,
Source text
)
CREATE TABLE stadium (
id int,
name text,
Home_Games int,
Average_Attendance real,
Total_Attendance real,
Capacity_Percentage real
)
CREATE TABLE game (
... | SELECT Season, COUNT(Season) FROM game GROUP BY Season | nvbench |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "44" AND procedures.icd9_code = "93" | mimicsql_data |
CREATE TABLE table_52755 (
"Title" text,
"Author(s)" text,
"Recorded" text,
"Location(s)" text,
"Time" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who wrote the song that runs for 2:22?
| SELECT "Author(s)" FROM table_52755 WHERE "Time" = '2:22' | wikisql |
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost numb... | SELECT SUM(inputevents_cv.amount) 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 = 1372)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.labe... | mimic_iii |
CREATE TABLE table_5601 (
"Season" text,
"Regionalliga S\u00fcd" text,
"Regionalliga West/S\u00fcdwest" text,
"Regionalliga Nord" text,
"Regionalliga Nord-Ost" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Regionalliga West/Sudwest had a Regi... | SELECT "Regionalliga West/S\u00fcdwest" FROM table_5601 WHERE "Regionalliga Nord-Ost" = 'carl zeiss jena' | wikisql |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "Other and unspecified coronary arteriography" | mimicsql_data |
CREATE TABLE table_name_5 (
average INTEGER,
yards VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of average values for 23 yards?
| SELECT SUM(average) FROM table_name_5 WHERE yards = 23 | sql_create_context |
CREATE TABLE table_name_2 (
goals_for INTEGER,
team VARCHAR,
drawn VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest Goals For, when Team is 'Cheadle Town', and when Drawn is greater than 7?
| SELECT MAX(goals_for) FROM table_name_2 WHERE team = "cheadle town" AND drawn > 7 | sql_create_context |
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 ReviewTaskStates (
Id number,
Name te... | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%pakistan%' OR UPPER(Location) LIKE '%PAK' ORDER BY Reputation DESC LIMIT 500 | sede |
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,
F... | SELECT t_kc24.t_kc21_IN_DIAG_DIS_CD, t_kc24.t_kc21_IN_DIAG_DIS_NM FROM t_kc24 WHERE t_kc24.t_kc21_PERSON_ID = '37329044' AND t_kc24.MED_CLINIC_ID IN (SELECT t_kc24.MED_CLINIC_ID FROM t_kc24 WHERE t_kc24.MED_AMOUT >= 6376.37) | css |
CREATE TABLE table_22344463_2 (
position VARCHAR,
height VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the height is 181cm, what was the position?
| SELECT position FROM table_22344463_2 WHERE height = "181cm" | sql_create_context |
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | 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.short_title = "Acute uri NOS" AND prescriptions.route = "PO" | mimicsql_data |
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDa... | SELECT DATEADD(mm, (YEAR(Posts.CreationDate) - 1900) * 12 + MONTH(Posts.CreationDate) - 1, 0) AS Month, Tags.TagName, COUNT(*) AS Questions FROM Tags LEFT JOIN PostTags ON PostTags.TagId = Tags.Id LEFT JOIN Posts ON Posts.Id = PostTags.PostId LEFT JOIN PostTypes ON PostTypes.Id = Posts.PostTypeId WHERE Tags.TagName IN ... | sede |
CREATE TABLE table_test_25 (
"id" int,
"ejection_fraction_ef" int,
"respiratory_tract_infection" bool,
"left_ventricular_ejection_fraction_lvef" int,
"intra_aortic_balloon_pump_iabp" bool,
"systolic_blood_pressure_sbp" int,
"central_diabetes_insipidus" bool,
"hyponatremia" bool,
"hea... | SELECT * FROM table_test_25 WHERE creatinine_clearance_cl > 2 | criteria2sql |
CREATE TABLE table_60389 (
"Year" real,
"Gold" text,
"Silver" text,
"Bronze" text,
"Notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the Notes against a Silver for Jenny Johansson earlier than 2006?
| SELECT "Notes" FROM table_60389 WHERE "Year" < '2006' AND "Silver" = 'jenny johansson' | wikisql |
CREATE TABLE table_61059 (
"Year" real,
"Domestic" real,
"International" real,
"Total" real,
"Change" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What year was the international lower than 17,517 and domestic was less than 545?
| SELECT AVG("Year") FROM table_61059 WHERE "International" < '17,517' AND "Domestic" < '545' | wikisql |
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE fare (
fare_id int,
from_... | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis AS FARE_BASIS_0, fare_basis AS FARE_BASIS_1, flight, flight_fare WHERE (((CITY_1.... | atis |
CREATE TABLE table_name_51 (
name VARCHAR,
red_list INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name with a red lest less than 7?
| SELECT name FROM table_name_51 WHERE red_list < 7 | sql_create_context |
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE area (
course_id int,
... | SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id... | advising |
CREATE TABLE table_name_12 (
route VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which route has a Date of 2 july?
| SELECT route FROM table_name_12 WHERE date = "2 july" | sql_create_context |
CREATE TABLE table_203_207 (
id number,
"site name" text,
"reason for designation\nbiological interest" number,
"reason for designation\ngeological interest" number,
"area\nhectares" number,
"area\nacres" number,
"coordinates & grid ref" text,
"year in which notified" number,
"other ... | SELECT "site name" FROM table_203_207 WHERE "site name" IN ("carver's rocks", 'cawdor quarry') ORDER BY "area\nacres" DESC LIMIT 1 | squall |
CREATE TABLE table_name_63 (
label_s_ VARCHAR,
year_of_release VARCHAR,
title VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the label of the album titled and released in 1994?
| SELECT label_s_ FROM table_name_63 WHERE year_of_release = 1994 AND title = "與你相逢" | sql_create_context |
CREATE TABLE table_name_63 (
notes VARCHAR,
format VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Notes of the Frequency with Format of talk radio?
| SELECT notes FROM table_name_63 WHERE format = "talk radio" | sql_create_context |
CREATE TABLE table_54778 (
"NGC number" real,
"Object type" text,
"Constellation" text,
"Right ascension ( J2000 )" text,
"Declination ( J2000 )" text,
"Apparent magnitude" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest NGC n... | SELECT MAX("NGC number") FROM table_54778 WHERE "Declination ( J2000 )" = '°04′58″' AND "Apparent magnitude" > '7.3' | wikisql |
CREATE TABLE table_79888 (
"Category" text,
"Film" text,
"Director(s)" text,
"Country" text,
"Nominating Festival" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What film did ian mackinnon direct that was in the short film 2007 prix uip category?
| SELECT "Film" FROM table_79888 WHERE "Category" = 'short film 2007 prix uip' AND "Director(s)" = 'ian mackinnon' | wikisql |
CREATE TABLE Students (
student_id INTEGER,
address_id INTEGER,
first_name VARCHAR(80),
middle_name VARCHAR(40),
last_name VARCHAR(40),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
date_first_rental DATETIME,
date_left_university DATETIME,
other_student_details VARC... | SELECT date_of_notes, COUNT(date_of_notes) FROM Assessment_Notes AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id WHERE T2.first_name = "Fanny" ORDER BY COUNT(date_of_notes) | nvbench |
CREATE TABLE Statements (
Statement_ID INTEGER,
Statement_Details VARCHAR(255)
)
CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER,
Budget_Type_Code CHAR(15),
Document_Details VARC... | SELECT Document_Type_Code, COUNT(*) FROM Documents GROUP BY Document_Type_Code | nvbench |
CREATE TABLE table_51461 (
"Episode" text,
"Air Date" text,
"Timeslot" text,
"Households (Rating/Share)" text,
"18-49 (Rating/Share)" text,
"Viewers (m)" real,
"Weekly Rank (#)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the 18-49 r... | SELECT "18-49 (Rating/Share)" FROM table_51461 WHERE "Weekly Rank (#)" = '30' | wikisql |
CREATE TABLE table_204_63 (
id number,
"round" number,
"circuit" text,
"date" text,
"pole position" text,
"winning driver" text,
"winning team" text,
"trophy winner" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who is the only winning ... | SELECT "winning driver" FROM table_204_63 WHERE "winning team" = 'target racing' GROUP BY "winning driver" HAVING COUNT(*) = 1 | squall |
CREATE TABLE table_71943 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the date of the game that had a loss of Geisel (0-1)?
| SELECT "Date" FROM table_71943 WHERE "Loss" = 'geisel (0-1)' | 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,
... | SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.ethnicity = "ASIAN" | mimicsql_data |
CREATE TABLE table_name_35 (
election VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the 3rd Party in the Election of 1922?
| SELECT 3 AS rd_party FROM table_name_35 WHERE election = "1922" | sql_create_context |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.marital_status = "MARRIED" AND prescriptions.route = "PB" | mimicsql_data |
CREATE TABLE table_63944 (
"Lane" real,
"Name" text,
"Nationality" text,
"Reaction" real,
"Time" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many lanes does Australia have with a reaction smaller than 0.138?
| SELECT COUNT("Lane") FROM table_63944 WHERE "Nationality" = 'australia' AND "Reaction" < '0.138' | wikisql |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.dod_year < "2133.0" | mimicsql_data |
CREATE TABLE table_76699 (
"Club" text,
"City" text,
"Sport" text,
"League" text,
"Venue" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which sport had the club of the Montgomery Biscuits?
| SELECT "Sport" FROM table_76699 WHERE "Club" = 'montgomery biscuits' | wikisql |
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
-- Using valid SQLite, answer the following questions for the... | SELECT Headquarter, COUNT(Headquarter) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY COUNT(Headquarter) | nvbench |
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 ... | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.wardid = 28 AND STRFTIME('%y', transfers.intime) <= '2104') | mimic_iii |
CREATE TABLE table_63032 (
"Rank" real,
"Peak" text,
"Country" text,
"Island" text,
"Elevation (m)" real,
"Prominence (m)" real,
"Col (m)" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How much Col (m) has a Prominence (m) larger than 1,897... | SELECT COUNT("Col (m)") FROM table_63032 WHERE "Prominence (m)" > '1,897' AND "Rank" < '6' | wikisql |
CREATE TABLE table_204_722 (
id number,
"season" text,
"series" text,
"team" text,
"races" number,
"wins" number,
"poles" number,
"f/lap" number,
"podiums" number,
"points" number,
"position" text
)
-- Using valid SQLite, answer the following questions for the tables provid... | SELECT "team" FROM table_204_722 WHERE "position" = 1 AND "season" < (SELECT "season" FROM table_204_722 WHERE "team" = 'mrf challenge') | squall |
CREATE TABLE mission (
Mission_ID int,
Ship_ID int,
Code text,
Launched_Year int,
Location text,
Speed_knots int,
Fate text
)
CREATE TABLE ship (
Ship_ID int,
Name text,
Type text,
Nationality text,
Tonnage int
)
-- Using valid SQLite, answer the following questions fo... | SELECT Type, AVG(Tonnage) FROM ship GROUP BY Type ORDER BY AVG(Tonnage) DESC | nvbench |
CREATE TABLE volume (
Artist_ID VARCHAR,
Weeks_on_Top INTEGER
)
CREATE TABLE artist (
Famous_Title VARCHAR,
Artist_ID VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the famous title of the artists associated with volumes with more than 2 we... | SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2 | sql_create_context |
CREATE TABLE table_28037619_2 (
title VARCHAR,
written_by VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the episode written by David Matthews?
| SELECT title FROM table_28037619_2 WHERE written_by = "David Matthews" | sql_create_context |
CREATE TABLE t_kc24 (
MED_SAFE_PAY_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
REF_SLT_FLG number,
CLINIC_SLT_DATE time,
COMP_ID text,
PERSON_ID text,
FLX_MED_ORG_ID text,
INSU_TYPE text,
MED_AMOUT number,
PER_ACC_PAY number,
OVE_PAY numb... | SELECT IN_DIAG_DIS_CD, IN_DIAG_DIS_NM FROM t_kc21 WHERE PERSON_NM = '苗秀曼' AND MED_CLINIC_ID IN (SELECT MED_CLINIC_ID FROM t_kc24 WHERE MED_AMOUT >= 7265.59) | css |
CREATE TABLE table_name_29 (
actor_required VARCHAR,
actor_in_original_production VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the required actor when Robert Austin was the actor in the original production?
| SELECT actor_required FROM table_name_29 WHERE actor_in_original_production = "robert austin" | sql_create_context |
CREATE TABLE table_name_22 (
visiting_team VARCHAR,
stadium VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What team visited the Cleveland Browns Stadium?
| SELECT visiting_team FROM table_name_22 WHERE stadium = "cleveland browns stadium" | sql_create_context |
CREATE TABLE table_204_697 (
id number,
"song" text,
"artist(s)" text,
"concert" number,
"film" number,
"1978 album" number,
"2002 album" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who is the first artist on the chart ?
| SELECT "artist(s)" FROM table_204_697 WHERE id = 1 | squall |
CREATE TABLE department (
dept_code text,
dept_name text,
school_code text,
emp_num number,
dept_address text,
dept_extension text
)
CREATE TABLE professor (
emp_num number,
dept_code text,
prof_office text,
prof_extension text,
prof_high_degree text
)
CREATE TABLE student ... | SELECT emp_jobcode, COUNT(*) FROM employee GROUP BY emp_jobcode ORDER BY COUNT(*) DESC LIMIT 1 | spider |
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,
F... | SELECT t_kc22.SOC_SRT_DIRE_NM FROM t_kc22 JOIN t_kc21_t_kc22 JOIN t_kc21 ON t_kc21_t_kc22.MED_EXP_DET_ID = t_kc22.MED_EXP_DET_ID AND t_kc21_t_kc22.MED_CLINIC_ID = t_kc21.MED_CLINIC_ID WHERE t_kc21_t_kc22.MED_CLINIC_ID = '78928227883' INTERSECT SELECT t_kc22.SOC_SRT_DIRE_NM FROM t_kc22 JOIN t_kc21_t_kc22 JOIN t_kc21 ON ... | css |
CREATE TABLE table_26103 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"Location" text,
"Attendance" real,
"Record" text,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the record when the opposing team was ... | SELECT "Record" FROM table_26103 WHERE "Opponent" = 'Pittsburgh Penguins' | wikisql |
CREATE TABLE order_items (
order_id number,
product_id number,
order_quantity text
)
CREATE TABLE customers (
customer_id number,
payment_method text,
customer_name text,
date_became_customer time,
other_customer_details text
)
CREATE TABLE products (
product_id number,
product... | SELECT country FROM addresses GROUP BY country HAVING COUNT(address_id) > 4 | spider |
CREATE TABLE table_12872 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Results" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- From which party is the incumbent who was first elected to office in 1990?
| SELECT "Party" FROM table_12872 WHERE "First elected" = '1990' | wikisql |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dod_year <= "2111.0" AND diagnoses.icd9_code = "E9503" | mimicsql_data |
CREATE TABLE table_15154 (
"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 has a record of 78-60?
| SELECT "Opponent" FROM table_15154 WHERE "Record" = '78-60' | wikisql |
CREATE TABLE table_204_951 (
id number,
"candidate" text,
"votes" number,
"percentage" text,
"counties" number,
"delegates" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many candidates received over 10 % of the vote ?
| SELECT COUNT("candidate") FROM table_204_951 WHERE "percentage" > 10 | squall |
CREATE TABLE checking (
balance VARCHAR,
custid VARCHAR
)
CREATE TABLE accounts (
custid VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the checking balance of the account whose owner s name contains the substring ee ?
| SELECT T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T1.name LIKE '%ee%' | sql_create_context |
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE cost (
costid number,
... | SELECT AVG(patient.admissionweight) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-195316') AND NOT patient.admissionweight IS NULL AND STRFTIME('%y', patient.unitadmittime) >= '2105' GROUP BY STRFTIME('%y-%m', patient.unitad... | eicu |
CREATE TABLE table_47755 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent in the final" text,
"Score" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Opponent of the match played on a Clay Surface with a Score of 6 0, 6 2?
| SELECT "Opponent in the final" FROM table_47755 WHERE "Surface" = 'clay' AND "Score" = '6–0, 6–2' | wikisql |
CREATE TABLE table_name_39 (
money_requested__£_ VARCHAR,
company_or_product_name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How much money did the company Neurotica request?
| SELECT money_requested__£_ FROM table_name_39 WHERE company_or_product_name = "neurotica" | sql_create_context |
CREATE TABLE table_name_83 (
surface VARCHAR,
opponent_in_the_final VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the surface type at Takao Suzuki?
| SELECT surface FROM table_name_83 WHERE opponent_in_the_final = "takao suzuki" | sql_create_context |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.ethnicity = "BLACK/HAITIAN" | mimicsql_data |
CREATE TABLE table_69432 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many were in attendance on October 27, 1963?
| SELECT MAX("Attendance") FROM table_69432 WHERE "Date" = 'october 27, 1963' | wikisql |
CREATE TABLE table_77596 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Attendance" real,
"Series" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the date of the game when attendance is more than 20,682?
| SELECT "Date" FROM table_77596 WHERE "Attendance" > '20,682' | wikisql |
CREATE TABLE table_name_3 (
week INTEGER,
attendance VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What week had attendance of 64,146?
| SELECT MIN(week) FROM table_name_3 WHERE attendance = 64 OFFSET 146 | sql_create_context |
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
-- Using valid SQLite, answer the following questions for the... | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T2.Revenue DESC | nvbench |
CREATE TABLE table_47697 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Gold has a Bronze of 1, and a Total smaller than 3?
| SELECT AVG("Gold") FROM table_47697 WHERE "Bronze" = '1' AND "Total" < '3' | wikisql |
CREATE TABLE table_47568 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which opponent has w 17-0 as the result?
| SELECT "Opponent" FROM table_47568 WHERE "Result" = 'w 17-0' | wikisql |
CREATE TABLE table_76392 (
"Year" text,
"Result" text,
"Matches" text,
"Wins" text,
"Draws" text,
"Losses" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What were the matches where the teams finished in the first group stage, in 1998?
| SELECT "Matches" FROM table_76392 WHERE "Result" = 'first group stage' AND "Year" = '1998' | wikisql |
CREATE TABLE table_name_43 (
rank VARCHAR,
nationality VARCHAR,
time VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What rank did Poland receive with a time of 1:50.12?
| SELECT rank FROM table_name_43 WHERE nationality = "poland" AND time = "1:50.12" | sql_create_context |
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,
... | SELECT gwyjzb.IN_DIAG_DIS_CD, AVG(gwyjzb.PERSON_AGE) FROM gwyjzb WHERE gwyjzb.MED_SER_ORG_NO = '3491233' GROUP BY gwyjzb.IN_DIAG_DIS_CD UNION SELECT fgwyjzb.IN_DIAG_DIS_CD, AVG(fgwyjzb.PERSON_AGE) FROM fgwyjzb WHERE fgwyjzb.MED_SER_ORG_NO = '3491233' GROUP BY fgwyjzb.IN_DIAG_DIS_CD | css |
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
... | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.wardid = 1108 AND DATETIME(patient.unitadmittime) >= DATETIME(CURRENT_TIME(), '-5 year') | eicu |
CREATE TABLE table_name_21 (
winner VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which 1st prize ($) has a Winner of scott simpson (7)?
| SELECT SUM(1 AS st_prize___) AS $__ FROM table_name_21 WHERE winner = "scott simpson (7)" | sql_create_context |
CREATE TABLE table_53741 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the date of the game where North Melbou... | SELECT "Date" FROM table_53741 WHERE "Home team" = 'north melbourne' | wikisql |
CREATE TABLE table_name_91 (
celebrity VARCHAR,
finished VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the celebrity who finished in 7th place?
| SELECT celebrity FROM table_name_91 WHERE finished = "7th" | sql_create_context |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "ONDA4I" | mimicsql_data |
CREATE TABLE table_43838 (
"Series" text,
"Title" text,
"Broadcasts (TV) 1" real,
"Episodes (TV+extra) 2" text,
"Directors" text,
"Aired in Japan 3" text,
"US Release Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of Br... | SELECT SUM("Broadcasts (TV) 1") FROM table_43838 WHERE "Series" = '3 4' AND "US Release Date" = '27 december 2006' | wikisql |
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE CloseReasonTypes (
Id number,
... | SELECT * FROM Posts WHERE PostTypeId = 1 AND CreationDate >= '01/01/2018' AND (Tags LIKE '%mobile%' OR Tags LIKE '%xamarin%') AND Body LIKE '%Windows%Phone%' | sede |
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 t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.ethnicity = "HISPANIC OR LATINO" | mimicsql_data |
CREATE TABLE table_25200461_9 (
d_r_spread VARCHAR,
no_party_preference VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the d-r spread if the no party preference is 31.8%?
| SELECT d_r_spread FROM table_25200461_9 WHERE no_party_preference = "31.8%" | sql_create_context |
CREATE TABLE table_10719 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What did Footscray score at the home game?
| SELECT "Home team score" FROM table_10719 WHERE "Home team" = 'footscray' | wikisql |
CREATE TABLE city (
city_id number,
official_name text,
status text,
area_km_2 number,
population number,
census_ranking text
)
CREATE TABLE farm (
farm_id number,
year number,
total_horses number,
working_horses number,
total_cattle number,
oxen number,
bulls number... | SELECT COUNT(*) FROM farm | spider |
CREATE TABLE table_name_18 (
order VARCHAR,
title VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What order has the title Deacon of SS. Cosma E Damiano?
| SELECT order FROM table_name_18 WHERE title = "deacon of ss. cosma e damiano" | sql_create_context |
CREATE TABLE people (
People_ID int,
District text,
Name text,
Party text,
Age int
)
CREATE TABLE debate (
Debate_ID int,
Date text,
Venue text,
Num_of_Audience int
)
CREATE TABLE debate_people (
Debate_ID int,
Affirmative int,
Negative int,
If_Affirmative_Win bool
... | SELECT Name, COUNT(Name) FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Negative = T3.People_ID GROUP BY Name | nvbench |
CREATE TABLE table_31413 (
"Rank" real,
"Country/Territory" text,
"Miss Earth" text,
"Miss Air" real,
"Miss Water" real,
"Miss Fire" real,
"Semifinalists" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the least amo... | SELECT MIN("Miss Air") FROM table_31413 | wikisql |
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number... | SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-3355')) AND microlab.culturesite = 'other' AND DATETIME(micro... | eicu |
CREATE TABLE table_name_4 (
internet_explorer VARCHAR,
opera VARCHAR,
period VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What internet explorer has 1.67% as the opera, with 2012 q1 as the period?
| SELECT internet_explorer FROM table_name_4 WHERE opera = "1.67%" AND period = "2012 q1" | sql_create_context |
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