instruction stringlengths 151 7.46k | output stringlengths 2 4.44k | source stringclasses 26
values |
|---|---|---|
CREATE TABLE table_name_99 (
first_elected INTEGER,
district VARCHAR,
committee VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Highest first elected year that has a district of 06.0 6, and a committee of economic matters?
| SELECT MAX(first_elected) FROM table_name_99 WHERE district = "06.0 6" AND committee = "economic matters" | sql_create_context |
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
... | WITH Raw AS (SELECT PostId, Id, Text FROM PostHistory WHERE Id IN (SELECT MAX(Id) AS CloseEventId FROM PostHistory WHERE PostHistoryTypeId = 10 AND PostId IN (SELECT Id FROM Posts WHERE NOT ClosedDate IS NULL) GROUP BY PostId)) SELECT PostId, JSON_EXTRACT_SCALAR(Text, '$.Voters0.Id') AS Voter FROM Raw UNION SELECT Post... | sede |
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,
... | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL AND STRFTIME('%y', patient.hospitaldischargetime) <= '2104' | eicu |
CREATE TABLE table_72052 (
"Year" real,
"Office" text,
"Candidate" text,
"Popular Votes" real,
"Percentage" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many votes for the candidate after 1992, 1.59% of the vote, and the office of us represent... | SELECT AVG("Popular Votes") FROM table_72052 WHERE "Office" = 'us representative 4' AND "Percentage" = '1.59%' AND "Year" > '1992' | wikisql |
CREATE TABLE table_46 (
"Scheme" text,
"Tariff code" text,
"BTs retail price (regulated)" text,
"Approx premium" text,
"Prefixes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the bts retail price (regulated) for tariff code g10?
| SELECT "BTs retail price (regulated)" FROM table_46 WHERE "Tariff code" = 'g10' | wikisql |
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 prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" AND prescriptions.route = "PO" | mimicsql_data |
CREATE TABLE table_15190 (
"Year" real,
"Population (Total)" real,
"(Barcaldine)" real,
"(Aramac)" real,
"(Jericho)" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Year has an (Aramac) of 832 and a Population (Total) less than 3,762?
| SELECT SUM("Year") FROM table_15190 WHERE "(Aramac)" = '832' AND "Population (Total)" < '3,762' | wikisql |
CREATE TABLE table_26609690_1 (
position VARCHAR,
team_s_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many positions are there for RB1 Motorsports?
| SELECT COUNT(position) FROM table_26609690_1 WHERE team_s_ = "RB1 Motorsports" | sql_create_context |
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varc... | SELECT JOB_TITLE, MAX_SALARY - MIN_SALARY FROM jobs WHERE MAX_SALARY BETWEEN 12000 AND 18000 ORDER BY JOB_TITLE DESC | nvbench |
CREATE TABLE table_77450 (
"Game" text,
"Date" text,
"Opponent" text,
"Result" text,
"Dolphins' points" text,
"Opponents' Points" text,
"Record" text,
"Streak" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How man... | SELECT "Opponents' Points" FROM table_77450 WHERE "Date" = '11/11/01' | wikisql |
CREATE TABLE table_name_66 (
female INTEGER,
district VARCHAR,
number_of_households VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest female number of the hiroo 1-ch me district, which has more than 1,666 households?
| SELECT MIN(female) FROM table_name_66 WHERE district = "hiroo 1-chōme" AND number_of_households > 1 OFFSET 666 | sql_create_context |
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
... | SELECT admissions.admission_type FROM admissions WHERE admissions.subject_id = 17694 AND STRFTIME('%y', admissions.admittime) >= '2102' ORDER BY admissions.admittime LIMIT 1 | mimic_iii |
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 INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND diagnoses.long_title = "Other pulmonary insufficiency, not elsewhere classified" | mimicsql_data |
CREATE TABLE table_name_13 (
results¹ VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result of the game against Luxembourg?
| SELECT results¹ FROM table_name_13 WHERE opponent = "luxembourg" | sql_create_context |
CREATE TABLE table_18667 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Result" text,
"Candidates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who is the the incumbent with candidates being ben cravens (d) unopposed... | SELECT "Incumbent" FROM table_18667 WHERE "Candidates" = 'Ben Cravens (D) Unopposed' | wikisql |
CREATE TABLE table_32840 (
"Player" text,
"Span" text,
"Start" text,
"Tries" text,
"Conv" text,
"Pens" text,
"Drop" text,
"Lost" text,
"Draw" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What drop had 0 pens, 1 draw, and 8 tries?
| SELECT "Drop" FROM table_32840 WHERE "Pens" = '0' AND "Draw" = '1' AND "Tries" = '8' | wikisql |
CREATE TABLE table_14288212_1 (
played VARCHAR,
first_played VARCHAR,
points_for VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many games did the team that began in 2011 and scored 36 points play?
| SELECT COUNT(played) FROM table_14288212_1 WHERE first_played = 2011 AND points_for = 36 | sql_create_context |
CREATE TABLE table_name_41 (
rank VARCHAR,
premiere VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the rank for the episode that premiered on September 12, 1979?
| SELECT rank FROM table_name_41 WHERE premiere = "september 12, 1979" | sql_create_context |
CREATE TABLE table_name_21 (
district VARCHAR,
party VARCHAR,
results VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What district re-elected a Republican?
| SELECT district FROM table_name_21 WHERE party = "republican" AND results = "re-elected" | sql_create_context |
CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
e... | SELECT city, COUNT(*) FROM station GROUP BY city ORDER BY city DESC | nvbench |
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
... | SELECT Nationality, AVG(ID) FROM swimmer GROUP BY Nationality ORDER BY Nationality | nvbench |
CREATE TABLE table_name_98 (
nationality VARCHAR,
elevator VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When the elevator was Innocent IV what was the nationality?
| SELECT nationality FROM table_name_98 WHERE elevator = "innocent iv" | sql_create_context |
CREATE TABLE table_5802 (
"Player" text,
"Rec." real,
"Yards" real,
"Avg." real,
"Long" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Yards have an avg of 11.8, and a Player of brent celek, and a Long larger than 44?
| SELECT AVG("Yards") FROM table_5802 WHERE "Avg." = '11.8' AND "Player" = 'brent celek' AND "Long" > '44' | wikisql |
CREATE TABLE table_name_52 (
melbourne VARCHAR,
gold_coast VARCHAR,
perth VARCHAR,
adelaide VARCHAR,
sydney VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the result for Melbourne when Adelaide, Sydney, and Perth are yes, and Gold Coast i... | SELECT melbourne FROM table_name_52 WHERE adelaide = "yes" AND sydney = "yes" AND perth = "yes" AND gold_coast = "no" | sql_create_context |
CREATE TABLE table_67797 (
"Date" text,
"Venue" text,
"Score" text,
"Competition" text,
"Match report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score at Pankritio Stadium on June 6, 2007?
| SELECT "Score" FROM table_67797 WHERE "Venue" = 'pankritio stadium' AND "Date" = 'june 6, 2007' | wikisql |
CREATE TABLE table_name_38 (
time_retired VARCHAR,
laps VARCHAR,
grid VARCHAR,
manufacturer VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What time/retired for a grid less than 19, under 21 laps, and made by aprilia?
| SELECT time_retired FROM table_name_38 WHERE grid < 19 AND manufacturer = "aprilia" AND laps < 21 | sql_create_context |
CREATE TABLE table_1515 (
"Institution" text,
"Wins" real,
"Loss" real,
"Home Wins" real,
"Home Losses" real,
"Away Wins" real,
"Away Losses" real,
"Neutral Wins" real,
"Neutral Losses" real,
"Current Streak" text
)
-- Using valid SQLite, answer the following questions for the ... | SELECT MAX("Wins") FROM table_1515 WHERE "Institution" = 'Northwestern Wildcats' | wikisql |
CREATE TABLE table_name_80 (
height_in_ft VARCHAR,
school_club_team_country VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the height in feet for the player from valparaiso
| SELECT height_in_ft FROM table_name_80 WHERE school_club_team_country = "valparaiso" | sql_create_context |
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time... | SELECT Users.Id AS "user_link", SUM(Posts.Score) AS Total_Score FROM Posts LEFT JOIN Users ON Posts.OwnerUserId = Users.Id WHERE (Posts.ParentId IN (SELECT Id FROM Posts WHERE Tags LIKE '%<##tagName##>%')) AND LOWER(Users.Location) LIKE LOWER('%##CountryName##%') GROUP BY Users.Id | sede |
CREATE TABLE table_8939 (
"Heat" real,
"Lane" real,
"Name" text,
"Country" text,
"Mark" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total number of lanes used for races with winners from Austria?
| SELECT COUNT("Lane") FROM table_8939 WHERE "Country" = 'austria' | wikisql |
CREATE TABLE affiliated_with (
physician number,
department number,
primaryaffiliation boolean
)
CREATE TABLE procedures (
code number,
name text,
cost number
)
CREATE TABLE appointment (
appointmentid number,
patient number,
prepnurse number,
physician number,
start time,
... | SELECT physician, department FROM affiliated_with WHERE primaryaffiliation = 1 | spider |
CREATE TABLE table_name_88 (
player VARCHAR,
position VARCHAR,
round VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which player was D past Round 3?
| SELECT player FROM table_name_88 WHERE position = "d" AND round > 3 | sql_create_context |
CREATE TABLE table_10875 (
"Rank" real,
"Name" text,
"Team" text,
"Goals" real,
"Appearances" real,
"Minutes played" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many apperances for shakhtar donetsk?
| SELECT COUNT("Appearances") FROM table_10875 WHERE "Team" = 'shakhtar donetsk' | wikisql |
CREATE TABLE table_10284385_1 (
representative VARCHAR,
date_of_birth VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which representative has a birthday of January 31, 1866?
| SELECT representative FROM table_10284385_1 WHERE date_of_birth = "January 31, 1866" | sql_create_context |
CREATE TABLE table_name_57 (
fa_cup INTEGER,
league VARCHAR,
total VARCHAR,
fa_trophy VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average number of goals scored in the FA Cup among players that have more than 20 total goals, less than ... | SELECT AVG(fa_cup) FROM table_name_57 WHERE total > 20 AND fa_trophy < 1 AND league < 25 | sql_create_context |
CREATE TABLE table_56382 (
"Bowling figures Wickets-Runs (Overs)" text,
"Bowler" text,
"Versus" text,
"Venue" text,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What were GD Mcgrath's bowling figures?
| SELECT "Bowling figures Wickets-Runs (Overs)" FROM table_56382 WHERE "Bowler" = 'gd mcgrath' | wikisql |
CREATE TABLE table_36362 (
"Virtue" text,
"Latin" text,
"Gloss" text,
"(Vice)" text,
"(Latin)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Diligence Virtues Gloss?
| SELECT "Gloss" FROM table_36362 WHERE "Virtue" = 'diligence' | wikisql |
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20)
)
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20),
AllergyType VARCHAR(20)
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER... | SELECT Sex, AVG(Age) FROM Student GROUP BY Sex ORDER BY Sex | nvbench |
CREATE TABLE table_24319661_5 (
no_in_series INTEGER,
us_viewers__million_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What episode number in the series had 2.77 million U.S. viewers?
| SELECT MAX(no_in_series) FROM table_24319661_5 WHERE us_viewers__million_ = "2.77" | sql_create_context |
CREATE TABLE table_204_43 (
id number,
"name" text,
"rural\nmunicipality (rm)" text,
"population\n(2011)" number,
"population\n(2006)" number,
"change\n(%)" number,
"land\narea\n(km2)" number,
"population\ndensity\n(per km2)" number
)
-- Using valid SQLite, answer the following questio... | SELECT "name" FROM table_204_43 WHERE "name" <> 'bruno' AND "population\n(2011)" = (SELECT "population\n(2011)" FROM table_204_43 WHERE "name" = 'bruno') | squall |
CREATE TABLE table_73819 (
"Settlement" text,
"Cyrillic Name Other Names" text,
"Type" text,
"Population (2011)" real,
"Largest ethnic group (2002)" text,
"Dominant religion (2002)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which settlement... | SELECT "Settlement" FROM table_73819 WHERE "Cyrillic Name Other Names" = 'Сигет' | wikisql |
CREATE TABLE table_name_4 (
wins VARCHAR,
avg_start INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many wins for average start less than 25?
| SELECT COUNT(wins) FROM table_name_4 WHERE avg_start < 25 | sql_create_context |
CREATE TABLE table_name_63 (
launches INTEGER,
rocket VARCHAR,
partial_failures VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What were the average launches for Ariane 5 and 0 partial failures?
| SELECT AVG(launches) FROM table_name_63 WHERE rocket = "ariane 5" AND partial_failures < 0 | sql_create_context |
CREATE TABLE table_2849652_1 (
_number_of_divisions VARCHAR,
sport VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many divisions in bowling ?
| SELECT _number_of_divisions FROM table_2849652_1 WHERE sport = "Bowling" | sql_create_context |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | 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 = "Noninf gastroenterit NEC" AND prescriptions.route = "ORAL" | mimicsql_data |
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" AND demographic.dob_year < "2071" | mimicsql_data |
CREATE TABLE table_7801 (
"Company Name" text,
"Product Name" text,
"Hardware Model" text,
"Accreditation type" text,
"Accreditation level" text,
"Accreditation status" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Company Name, whe... | SELECT "Company Name" FROM table_7801 WHERE "Accreditation status" = 'approved (valid until 03.07.13)' | wikisql |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dod_year <= "2154.0" AND diagnoses.icd9_code = "70715" | mimicsql_data |
CREATE TABLE table_68840 (
"Original title" text,
"Title in English" text,
"Genre" text,
"Role" text,
"Directed by" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- The Last Metro refers to which Original Title?
| SELECT "Original title" FROM table_68840 WHERE "Title in English" = 'the last metro' | wikisql |
CREATE TABLE weekly_weather (
station_id int,
day_of_week text,
high_temperature int,
low_temperature int,
precipitation real,
wind_speed_mph int
)
CREATE TABLE train (
id int,
train_number int,
name text,
origin text,
destination text,
time text,
interval text
)
CR... | SELECT time, COUNT(time) FROM station AS t1 JOIN route AS t2 ON t1.id = t2.station_id JOIN train AS t3 ON t2.train_id = t3.id WHERE t1.local_authority = "Chiltern" GROUP BY time | nvbench |
CREATE TABLE table_48849 (
"Date" text,
"Pos." text,
"Player" text,
"From club" text,
"Transfer fee" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Player has a Date of sep. 2008?
| SELECT "Player" FROM table_48849 WHERE "Date" = 'sep. 2008' | wikisql |
CREATE TABLE table_name_72 (
round VARCHAR,
h___a VARCHAR,
opponents VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which round has an H/A of A with Notts County as opponents?
| SELECT round FROM table_name_72 WHERE h___a = "a" AND opponents = "notts county" | sql_create_context |
CREATE TABLE table_14968 (
"Name" text,
"Tenure" text,
"Courtesy title" text,
"Court Rank" text,
"Revenues" text,
"Lineage" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the lineage of oka tadatomo ( )?
| SELECT "Lineage" FROM table_14968 WHERE "Name" = 'ōoka tadatomo (大岡忠與)' | wikisql |
CREATE TABLE table_name_47 (
area_km_2 INTEGER,
status VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When the status is rural community what's the lowest area in kilometers squared?
| SELECT MIN(area_km_2) FROM table_name_47 WHERE status = "rural community" | sql_create_context |
CREATE TABLE table_36395 (
"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.
-- WHo has a Home of philadelphia and a Series of flyers lead 1 0?
| SELECT "Visitor" FROM table_36395 WHERE "Home" = 'philadelphia' AND "Series" = 'flyers lead 1–0' | wikisql |
CREATE TABLE country (
country_id number,
country text,
last_update time
)
CREATE TABLE customer (
customer_id number,
store_id number,
first_name text,
last_name text,
email text,
address_id number,
active boolean,
create_date time,
last_update time
)
CREATE TABLE film... | SELECT store_id FROM inventory GROUP BY store_id ORDER BY COUNT(*) DESC LIMIT 1 | spider |
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
... | SELECT COUNT(Id) FROM Users WHERE CreationDate <= '##Date##' | sede |
CREATE TABLE t_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_ID number
)
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD... | SELECT MIN(t_kc24.MED_AMOUT), MAX(t_kc24.MED_AMOUT) FROM t_kc24 WHERE t_kc21_t_kc24.MED_CLINIC_ID IN (SELECT t_kc21.MED_CLINIC_ID FROM t_kc21 WHERE t_kc21.MED_SER_ORG_NO = '1943196' AND t_kc21.IN_DIAG_DIS_NM = '慢性支气管炎') | css |
CREATE TABLE table_31802 (
"Year" real,
"Date" text,
"Event" text,
"Days" text,
"Stages" text,
"Acts" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When was the Metallica: Escape from the Studio show?
| SELECT "Date" FROM table_31802 WHERE "Event" = 'metallica: escape from the studio' | wikisql |
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE lab (
labid numb... | SELECT MIN(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-56556')) AND lab.labname = 'ph' AND DATETIME(lab.labresulttime, 'start of year... | eicu |
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
... | SELECT admissions.admittime FROM admissions WHERE admissions.subject_id = 26175 AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY admissions.admittime DESC LIMIT 1 | mimic_iii |
CREATE TABLE table_15038373_1 (
license VARCHAR,
software VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many licenses have mind workstation software?
| SELECT COUNT(license) FROM table_15038373_1 WHERE software = "Mind WorkStation" | sql_create_context |
CREATE TABLE table_name_2 (
winner VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who won on September 6?
| SELECT winner FROM table_name_2 WHERE date = "september 6" | sql_create_context |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.route = "ED" | mimicsql_data |
CREATE TABLE table_name_3 (
games INTEGER,
name VARCHAR,
rank VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many Games has a Name of st phane dumas and a Rank larger than 5?
| SELECT AVG(games) FROM table_name_3 WHERE name = "stéphane dumas" AND rank > 5 | sql_create_context |
CREATE TABLE table_56864 (
"Race Name" text,
"Circuit" text,
"Date" text,
"Winning driver" text,
"Constructor" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- On what date was the I Dessau Autobahnspinne race?
| SELECT "Date" FROM table_56864 WHERE "Race Name" = 'i dessau autobahnspinne' | wikisql |
CREATE TABLE table_name_55 (
position VARCHAR,
nfl_draft VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What position has 1958 as the NFL Draft, and jerry kramer as the player?
| SELECT position FROM table_name_55 WHERE nfl_draft = 1958 AND player = "jerry kramer" | 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 prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "GELCLAIR" | mimicsql_data |
CREATE TABLE table_204_365 (
id number,
"year" number,
"single" text,
"chart positions\nusa billboard hot dance club play" number,
"chart positions\npolish charts" number,
"album" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many times has... | SELECT COUNT(*) FROM table_204_365 WHERE NOT "chart positions\nusa billboard hot dance club play" IS NULL | squall |
CREATE TABLE table_26267607_2 (
winning_driver VARCHAR,
fastest_lap VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where the fastest lap is Mike Rockenfeller, who is the winning driver?
| SELECT winning_driver FROM table_26267607_2 WHERE fastest_lap = "Mike Rockenfeller" | sql_create_context |
CREATE TABLE table_42935 (
"State" text,
"White (%)" real,
"Brown (%)" real,
"Black (%)" real,
"Asian or Amerindian (%)" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of Asian or Amerindian (%), when State is Sergipe, and when Brown... | SELECT SUM("Asian or Amerindian (%)") FROM table_42935 WHERE "State" = 'sergipe' AND "Brown (%)" > '61,3' | wikisql |
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)... | 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 = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA... | atis |
CREATE TABLE table_204_813 (
id number,
"year" number,
"competition" text,
"venue" text,
"position" text,
"event" text,
"notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what year was the first competition ?
| SELECT MIN("year") FROM table_204_813 | squall |
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 admissions (
row_id number,
subject_id number,
hadm... | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'sodium bicarb') AS t1 JOIN (SELECT admissions... | mimic_iii |
CREATE TABLE table_53865 (
"Player" text,
"Position" text,
"Tries" real,
"Goals" real,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tell me the lowest tries for goals more than 0 with centre position and points less than 54
| SELECT MIN("Tries") FROM table_53865 WHERE "Goals" > '0' AND "Position" = 'centre' AND "Points" < '54' | wikisql |
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid num... | SELECT AVG(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-53416')) AND intakeoutput.celllabel = 'per i... | eicu |
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,
... | SELECT t3.labname FROM (SELECT t2.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'glucocorticoid administration - oral' AND DATETIME(t... | eicu |
CREATE TABLE table_1375 (
"County" text,
"McCain %" text,
"McCain Votes" real,
"Obama %" text,
"Obama Votes" real,
"Others %" text,
"Others Votes" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the number of others votes for when others... | SELECT COUNT("Others Votes") FROM table_1375 WHERE "Others %" = '2.0%' | wikisql |
CREATE TABLE table_52064 (
"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 what Venue was the Away Team Score 19.13 (127... | SELECT "Venue" FROM table_52064 WHERE "Away team score" = '19.13 (127)' | wikisql |
CREATE TABLE phone (
Name text,
Phone_ID int,
Memory_in_G int,
Carrier text,
Price real
)
CREATE TABLE market (
Market_ID int,
District text,
Num_of_employees int,
Num_of_shops real,
Ranking int
)
CREATE TABLE phone_market (
Market_ID int,
Phone_ID text,
Num_of_stoc... | SELECT Name, COUNT(Name) FROM phone_market AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID JOIN phone AS T3 ON T1.Phone_ID = T3.Phone_ID GROUP BY Name ORDER BY COUNT(Name) | nvbench |
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE ground_service ... | SELECT DISTINCT aircraft.aircraft_code FROM aircraft, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, equipment_sequence, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.c... | atis |
CREATE TABLE table_2490289_1 (
pc_demo VARCHAR,
c64_demo VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What won best pc demo when tower power (camelot) won best c64 demo?
| SELECT pc_demo FROM table_2490289_1 WHERE c64_demo = "Tower Power (Camelot)" | sql_create_context |
CREATE TABLE table_46819 (
"Place" text,
"Player" text,
"Country" text,
"Score" real,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the player with a score less than 72 and a to par of +1?
| SELECT "Player" FROM table_46819 WHERE "Score" < '72' AND "To par" = '+1' | wikisql |
CREATE TABLE table_name_42 (
uci_points INTEGER,
cyclist VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of UCI points for Kim Kirchen?
| SELECT SUM(uci_points) FROM table_name_42 WHERE cyclist = "kim kirchen" | sql_create_context |
CREATE TABLE table_65485 (
"Club" text,
"Wins" real,
"Losses" real,
"Draws" real,
"Against" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the highest amount of losses of Camperdown when the against was less than 945?
| SELECT MAX("Losses") FROM table_65485 WHERE "Club" = 'camperdown' AND "Against" < '945' | wikisql |
CREATE TABLE table_name_59 (
tier VARCHAR,
opponent_in_the_final VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When David McNamara was the opponent in the final, what was the tier?
| SELECT tier FROM table_name_59 WHERE opponent_in_the_final = "david mcnamara" | sql_create_context |
CREATE TABLE code_description (
code varchar,
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 compartment_cla... | SELECT DISTINCT flight.flight_id FROM fare, flight, flight_fare WHERE (((flight.departure_time < 900 AND flight.flight_days IN (SELECT DAYSalias0.days_code FROM days AS DAYSalias0 WHERE DAYSalias0.day_name IN (SELECT DATE_DAYalias0.day_name FROM date_day AS DATE_DAYalias0 WHERE DATE_DAYalias0.day_number = 24 AND DATE_D... | atis |
CREATE TABLE broadcast (
Channel_ID int,
Program_ID int,
Time_of_day text
)
CREATE TABLE channel (
Channel_ID int,
Name text,
Owner text,
Share_in_percent real,
Rating_in_percent real
)
CREATE TABLE broadcast_share (
Channel_ID int,
Program_ID int,
Date text,
Share_in_p... | SELECT Time_of_day, COUNT(*) FROM broadcast GROUP BY Time_of_day ORDER BY COUNT(*) DESC | nvbench |
CREATE TABLE table_name_2 (
city VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What city did Yugoslavia play Norway in?
| SELECT city FROM table_name_2 WHERE opponent = "norway" | sql_create_context |
CREATE TABLE table_80221 (
"Year" real,
"Alabama" text,
"Arkansas" text,
"Auburn" text,
"Ole Miss" text,
"Mississippi St." text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the Alabama player associated with Walt Harris?
| SELECT "Alabama" FROM table_80221 WHERE "Mississippi St." = 'walt harris' | wikisql |
CREATE TABLE purchase (
Member_ID int,
Branch_ID text,
Year text,
Total_pounds real
)
CREATE TABLE branch (
Branch_ID int,
Name text,
Open_year text,
Address_road text,
City text,
membership_amount text
)
CREATE TABLE membership_register_branch (
Member_ID int,
Branch_I... | SELECT Name, COUNT(*) FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.Branch_ID = T2.Branch_ID WHERE T1.Register_Year > 2015 GROUP BY T2.Branch_ID ORDER BY Name DESC | nvbench |
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Student (
StuID INTEGE... | SELECT Fname, COUNT(Fname) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid IN (SELECT T3.dormid FROM Has_amenity AS T3 JOIN Dorm_amenity AS T4 ON T3.amenid = T4.amenid WHERE T4.amenity_name = 'TV Lounge') GROUP BY Fname ORDER BY COUNT(Fname) DESC | nvbench |
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,... | SELECT demographic.age, demographic.admission_type FROM demographic WHERE demographic.subject_id = "2560" | mimicsql_data |
CREATE TABLE table_204_232 (
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.
-- nation to earn the most gold medals after colombia
| SELECT "nation" FROM table_204_232 WHERE "gold" < (SELECT "gold" FROM table_204_232 WHERE "nation" = 'colombia') ORDER BY "gold" DESC LIMIT 1 | squall |
CREATE TABLE table_15366768_1 (
isotopic_mass___u__ VARCHAR,
nuclide VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the mass of the element with a nuclide that is 169 tm?
| SELECT isotopic_mass___u__ FROM table_15366768_1 WHERE nuclide = "169 Tm" | sql_create_context |
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
a... | SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-64091')) AND vitalperiodic.heartrate < 79.0 AND NOT vitalperiodi... | eicu |
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Per... | SELECT All_Home, COUNT(All_Home) FROM basketball_match GROUP BY All_Home ORDER BY COUNT(All_Home) DESC | nvbench |
CREATE TABLE table_1341472_51 (
candidates VARCHAR,
district VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who were the candidates in district Wisconsin 1?
| SELECT candidates FROM table_1341472_51 WHERE district = "Wisconsin 1" | sql_create_context |
CREATE TABLE table_13046 (
"Round" real,
"Player" text,
"Position" text,
"Nationality" text,
"College/junior/club team (league)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Position has a Round larger than 4, and a Player of patrick johnson... | SELECT "Position" FROM table_13046 WHERE "Round" > '4' AND "Player" = 'patrick johnson' | wikisql |
CREATE TABLE table_name_72 (
against VARCHAR,
losses VARCHAR,
byes VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the number listed under against when there were less than 13 losses and less than 2 byes?
| SELECT COUNT(against) FROM table_name_72 WHERE losses < 13 AND byes < 2 | sql_create_context |
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