instruction stringlengths 151 7.46k | output stringlengths 2 4.44k | source stringclasses 26
values |
|---|---|---|
CREATE TABLE media_types (
id INTEGER,
name VARCHAR(120)
)
CREATE TABLE invoice_lines (
id INTEGER,
invoice_id INTEGER,
track_id INTEGER,
unit_price NUMERIC(10,2),
quantity INTEGER
)
CREATE TABLE sqlite_sequence (
name any,
seq any
)
CREATE TABLE artists (
id INTEGER,
name... | SELECT billing_country, COUNT(*) FROM invoices GROUP BY billing_country ORDER BY COUNT(*) DESC LIMIT 5 | nvbench |
CREATE TABLE table_43403 (
"Nation" text,
"Skip" text,
"Third" text,
"Second" text,
"Lead" text,
"Alternate" text,
"Club" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the club for Great Britain?
| SELECT "Club" FROM table_43403 WHERE "Nation" = 'great britain' | wikisql |
CREATE TABLE table_name_12 (
tie_no VARCHAR,
home_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the tie number when the home team was gillingham?
| SELECT tie_no FROM table_name_12 WHERE home_team = "gillingham" | sql_create_context |
CREATE TABLE table_2402 (
"Game" real,
"Date" text,
"Opponent" text,
"Result" text,
"Sun Devils points" real,
"Opponents" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the record for the Sun Devils when they scored 4... | SELECT "Record" FROM table_2402 WHERE "Sun Devils points" = '44' | wikisql |
CREATE TABLE table_45076 (
"Number notation" real,
"Power notation" text,
"Short scale" text,
"Long scale" text,
"Indian (or South Asian) English" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For the number notion more than 1,000,000 with a power ... | SELECT "Short scale" FROM table_45076 WHERE "Number notation" > '1,000,000' AND "Power notation" = '10 12' | wikisql |
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,... | SELECT SOC_SRT_DIRE_NM, EACH_DOSAGE, USE_FRE FROM t_kc22 WHERE MED_CLINIC_ID = '15153729405' | css |
CREATE TABLE submission (
submission_id number,
scores number,
author text,
college text
)
CREATE TABLE acceptance (
submission_id number,
workshop_id number,
result text
)
CREATE TABLE workshop (
workshop_id number,
date text,
venue text,
name text
)
-- Using valid SQLit... | SELECT COUNT(*) FROM submission | spider |
CREATE TABLE table_64339 (
"play" text,
"author" text,
"company" text,
"base" text,
"country" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which play had a base of Aosta?
| SELECT "play" FROM table_64339 WHERE "base" = 'aosta' | wikisql |
CREATE TABLE table_name_35 (
date VARCHAR,
home_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What day is south melbourne at home?
| SELECT date FROM table_name_35 WHERE home_team = "south melbourne" | sql_create_context |
CREATE TABLE phone_market (
Market_ID int,
Phone_ID text,
Num_of_stock int
)
CREATE TABLE market (
Market_ID int,
District text,
Num_of_employees int,
Num_of_shops real,
Ranking int
)
CREATE TABLE phone (
Name text,
Phone_ID int,
Memory_in_G int,
Carrier text,
Price... | SELECT Carrier, AVG(Memory_in_G) FROM phone GROUP BY Carrier ORDER BY Carrier DESC | nvbench |
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_I... | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID | nvbench |
CREATE TABLE school_bus (
school_id number,
driver_id number,
years_working number,
if_full_time others
)
CREATE TABLE school (
school_id number,
grade text,
school text,
location text,
type text
)
CREATE TABLE driver (
driver_id number,
name text,
party text,
home_... | SELECT home_city FROM driver EXCEPT SELECT home_city FROM driver WHERE age > 40 | spider |
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 te... | SELECT COUNT(*) FROM jybgb WHERE jybgb.JZLSH = '58163756741' | css |
CREATE TABLE table_name_67 (
opponent VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Opponent had a Score of 6-3, 6-2?
| SELECT opponent FROM table_name_67 WHERE score = "6-3, 6-2" | sql_create_context |
CREATE TABLE table_35514 (
"Manufacturer" text,
"Model" text,
"Quantity" real,
"Introduced" real,
"Retired" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many in the introduced segment retired later than 1994 and had Fokker as a manufacturer?
| SELECT COUNT("Introduced") FROM table_35514 WHERE "Retired" > '1994' AND "Manufacturer" = 'fokker' | wikisql |
CREATE TABLE table_name_10 (
result VARCHAR,
field VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the result of games played at frontier field
| SELECT result FROM table_name_10 WHERE field = "frontier field" | sql_create_context |
CREATE TABLE table_66281 (
"Elector" text,
"Nationality" text,
"Cardinalatial order and title" text,
"Elevated" text,
"Elevator" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the cardinalatial order and title of bosone?
| SELECT "Cardinalatial order and title" FROM table_66281 WHERE "Elector" = 'bosone' | wikisql |
CREATE TABLE table_52439 (
"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 19.21 (13... | SELECT "Away team" FROM table_52439 WHERE "Home team score" = '19.21 (135)' | wikisql |
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 MED_CLINIC_ID FROM t_kc21 WHERE PERSON_ID = '75571942' AND MED_SER_ORG_NO = '2706257' AND OUT_DIAG_DIS_NM LIKE '%病%' | css |
CREATE TABLE table_26130295_3 (
first_team VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who is first team when dimitris diamantidis play.
| SELECT COUNT(first_team) FROM table_26130295_3 WHERE player = "Dimitris Diamantidis" | sql_create_context |
CREATE TABLE table_name_23 (
cat_no VARCHAR,
label_s_ VARCHAR,
release_format VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the cat no for the label mute and the standard cd format?
| SELECT cat_no FROM table_name_23 WHERE label_s_ = "mute" AND release_format = "standard cd" | sql_create_context |
CREATE TABLE table_1217448_1 (
publisher VARCHAR,
first_appearance VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the total number of publisher where first appearance is daredevil #1
| SELECT COUNT(publisher) FROM table_1217448_1 WHERE first_appearance = "Daredevil #1" | sql_create_context |
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "64" AND procedures.short_title = "Open reduc-int fix femur" | mimicsql_data |
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 intakeoutput (
intakeoutpu... | SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-31116')) AND STRFTIME('%y', diagnosis.diagnosistime) = '2105' | eicu |
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.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.dob_year < "2123" | mimicsql_data |
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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.icd9_code = "6549" | mimicsql_data |
CREATE TABLE table_name_20 (
area__km_2__ VARCHAR,
population INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the sum of the Area (KM 2) that's got a Population that's smaller than 90?
| SELECT COUNT(area__km_2__) FROM table_name_20 WHERE population < 90 | sql_create_context |
CREATE TABLE table_10015132_7 (
position VARCHAR,
school_club_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what position did the player from connecticut play
| SELECT position FROM table_10015132_7 WHERE school_club_team = "Connecticut" | 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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.icd9_code = "9744" | mimicsql_data |
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER
)
CREATE TABLE Person (
name varchar(20),
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How old is the youngest per... | SELECT job, MIN(age) FROM Person GROUP BY job ORDER BY MIN(age) | nvbench |
CREATE TABLE table_44631 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Player, when Country is United States, and when Score is 73-76-72-66=287?
| SELECT "Player" FROM table_44631 WHERE "Country" = 'united states' AND "Score" = '73-76-72-66=287' | wikisql |
CREATE TABLE CHARACTERISTICS (
characteristic_id VARCHAR,
characteristic_name VARCHAR
)
CREATE TABLE products (
product_name VARCHAR,
product_id VARCHAR
)
CREATE TABLE product_characteristics (
product_id VARCHAR,
characteristic_id VARCHAR
)
-- Using valid SQLite, answer the following questi... | SELECT DISTINCT t1.product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t3.characteristic_name = "warm" | sql_create_context |
CREATE TABLE table_14016 (
"Place" text,
"Player" text,
"Country" text,
"Score" real,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What country has t6 as the place, with sean o'hair as the player?
| SELECT "Country" FROM table_14016 WHERE "Place" = 't6' AND "Player" = 'sean o''hair' | wikisql |
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
... | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title =... | mimic_iii |
CREATE TABLE table_35364 (
"Year" real,
"Wins" real,
"Earnings ($)" text,
"Rank" real,
"Scoring average" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the scoring average where the wins are 0?
| SELECT COUNT("Scoring average") FROM table_35364 WHERE "Wins" < '0' | wikisql |
CREATE TABLE table_52818 (
"Player" text,
"Position" text,
"School" text,
"Hometown" text,
"MLB Draft" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Player attended George Washington High School?
| SELECT "Player" FROM table_52818 WHERE "School" = 'george washington high school' | wikisql |
CREATE TABLE table_30121046_1 (
area__acres__ INTEGER,
townland VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the maximum area (in acres) of the Knockacullen townland?
| SELECT MAX(area__acres__) FROM table_30121046_1 WHERE townland = "Knockacullen" | sql_create_context |
CREATE TABLE table_23248940_10 (
high_rebounds VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many people had high rebounds during the game with a record of 34-32?
| SELECT COUNT(high_rebounds) FROM table_23248940_10 WHERE record = "34-32" | sql_create_context |
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE All_Documents (
Document_ID INTEGER,
... | SELECT Location_Code, COUNT(Location_Code) FROM Document_Locations GROUP BY Location_Code ORDER BY COUNT(Location_Code) | nvbench |
CREATE TABLE table_name_8 (
majority VARCHAR,
clone_independence VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the majority when the clone independence is no?
| SELECT majority FROM table_name_8 WHERE clone_independence = "no" | sql_create_context |
CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG numb... | SELECT AVG(MED_AMOUT) FROM t_kc21 WHERE MED_ORG_DEPT_NM = '白内障科' AND IN_HOSP_DATE BETWEEN '2006-10-25' AND '2012-06-23' AND IN_DIAG_DIS_NM = '结膜炎' AND CLINIC_TYPE = '住院' | css |
CREATE TABLE table_21239 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What w... | SELECT "Score" FROM table_21239 WHERE "Game" = '38' | wikisql |
CREATE TABLE table_77750 (
"Driver" text,
"Team" text,
"Laps" real,
"Time/Retired" text,
"Grid" real,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the grid for the Minardi Team USA with laps smaller than 90?
| SELECT "Grid" FROM table_77750 WHERE "Laps" < '90' AND "Team" = 'minardi team usa' | wikisql |
CREATE TABLE table_name_58 (
year INTEGER,
runner_s__up VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In which year is the highest for runner-up Steve Stricker?
| SELECT MAX(year) FROM table_name_58 WHERE runner_s__up = "steve stricker" | sql_create_context |
CREATE TABLE table_name_36 (
score VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score of the game on 16 december 1987?
| SELECT score FROM table_name_36 WHERE date = "16 december 1987" | sql_create_context |
CREATE TABLE table_name_13 (
result VARCHAR,
location VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the result of the London 2012 Women's Olympic Football Tournament?
| SELECT result FROM table_name_13 WHERE location = "london 2012 women's olympic football tournament" | sql_create_context |
CREATE TABLE table_5239 (
"Date" text,
"Label" text,
"Region" text,
"Format" text,
"Catalog" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What label has 887 448-2 as the catalog?
| SELECT "Label" FROM table_5239 WHERE "Catalog" = '887 448-2' | wikisql |
CREATE TABLE table_name_35 (
category VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What category is Matthew Barton?
| SELECT category FROM table_name_35 WHERE opponent = "matthew barton" | sql_create_context |
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar... | SELECT DISTINCT course.department, course.name, course.number, instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.name LIKE '%Professional Communication Strategies%' AND NOT instructor.name LIKE '%Figuero%' AND offering_instructor.... | advising |
CREATE TABLE table_64793 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Week of the game against the Minnesota Vikings?
| SELECT MIN("Week") FROM table_64793 WHERE "Opponent" = 'minnesota vikings' | wikisql |
CREATE TABLE user_profiles (
uid int(11),
name varchar(255),
email varchar(255),
partitionid int(11),
followers int(11)
)
CREATE TABLE follows (
f1 int(11),
f2 int(11)
)
CREATE TABLE tweets (
id bigint(20),
uid int(11),
text char(140),
createdate datetime
)
-- Using valid... | SELECT name, COUNT(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid ORDER BY name | nvbench |
CREATE TABLE table_24017 (
"Player" text,
"Played" real,
"Legs Won" real,
"Legs Lost" real,
"LWAT" real,
"100+" real,
"140+" real,
"180s" real,
"High Checkout" real,
"3-dart Average" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
--... | SELECT MIN("High Checkout") FROM table_24017 WHERE "Played" = '2' AND "100+" = '36' | wikisql |
CREATE TABLE table_name_52 (
points_for VARCHAR,
points_against VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What were the points for a team that 414 points against?
| SELECT points_for FROM table_name_52 WHERE points_against = "414" | sql_create_context |
CREATE TABLE table_name_25 (
round VARCHAR,
status VARCHAR,
song VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which round status is in with this song: - ?
| SELECT round FROM table_name_25 WHERE status = "in" AND song = "叶良俊 - 爱你不是爱给别人看" | 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 demographic.dob, demographic.admittime FROM demographic WHERE demographic.name = "John Gartman" | mimicsql_data |
CREATE TABLE table_30994 (
"No. in series" real,
"No. in season" 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.
-- how many episodes originally aired january19,2013
| SELECT COUNT("No. in series") FROM table_30994 WHERE "Original Air date" = 'January19,2013' | wikisql |
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABL... | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT inputevents_cv.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM inputevents_cv WHERE DATETIME(inputevents_cv.charttime) <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY inputevents_cv.itemid) AS t1 WHERE t1.c1 <= 3) | mimic_iii |
CREATE TABLE table_71786 (
"Round" real,
"Pick #" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the pick number for bill atessis
| SELECT "Pick #" FROM table_71786 WHERE "Name" = 'bill atessis' | wikisql |
CREATE TABLE table_name_65 (
year VARCHAR,
funny_car VARCHAR,
top_fuel VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In which year did John Force win Funny Car and Mike Dunn win in Top Fuel?
| SELECT year FROM table_name_65 WHERE funny_car = "john force" AND top_fuel = "mike dunn" | sql_create_context |
CREATE TABLE table_name_96 (
constructor VARCHAR,
driver VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who built giancarlo fisichella's car?
| SELECT constructor FROM table_name_96 WHERE driver = "giancarlo fisichella" | sql_create_context |
CREATE TABLE table_1140105_6 (
winning_driver VARCHAR,
circuit VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the winning driver where the circuit name is posillipo?
| SELECT winning_driver FROM table_1140105_6 WHERE circuit = "Posillipo" | sql_create_context |
CREATE TABLE table_name_88 (
date VARCHAR,
attendance VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- I want to know the date with attendance of 35,763
| SELECT date FROM table_name_88 WHERE attendance = "35,763" | 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_CLINIC_ID FROM qtb WHERE qtb.PERSON_ID = '72363456' AND qtb.MED_CLINIC_ID IN (SELECT t_kc22.MED_CLINIC_ID FROM t_kc22 WHERE t_kc22.AMOUNT >= 7610.85) UNION SELECT gyb.MED_CLINIC_ID FROM gyb WHERE gyb.PERSON_ID = '72363456' AND gyb.MED_CLINIC_ID IN (SELECT t_kc22.MED_CLINIC_ID FROM t_kc22 WHERE t_kc22.AMO... | css |
CREATE TABLE table_name_15 (
rarotongan VARCHAR,
tahitian VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What kind of Rarotongan has a Tahitian of /metua/?
| SELECT rarotongan FROM table_name_15 WHERE tahitian = "/metua/" | sql_create_context |
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE dataset (
datasetid int,
datasetname va... | SELECT DISTINCT keyphrase.keyphraseid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'shwetak patel' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | scholar |
CREATE TABLE table_14285 (
"Wimmera FL" text,
"Wins" real,
"Byes" real,
"Losses" real,
"Draws" real,
"Against" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of Against values for teams with 5 losses and 0 draws?
| SELECT SUM("Against") FROM table_14285 WHERE "Losses" = '5' AND "Draws" < '0' | 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 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.discharge_location = "HOME HEALTH CARE" AND procedures.long_title = "Open biopsy of liver" | mimicsql_data |
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 demographic.admission_type FROM demographic WHERE demographic.name = "Paul Edwards" | mimicsql_data |
CREATE TABLE table_name_28 (
score VARCHAR,
record VARCHAR,
december VARCHAR,
game VARCHAR,
points VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Score has a Game larger than 32, and Points smaller than 42, and a December larger than 19, an... | SELECT score FROM table_name_28 WHERE game > 32 AND points < 42 AND december > 19 AND record = "18–12–5" | sql_create_context |
CREATE TABLE table_name_42 (
lineup VARCHAR,
assist_pass VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the lineup when the assist/pass was Unassisted?
| SELECT lineup FROM table_name_42 WHERE assist_pass = "unassisted" | sql_create_context |
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE fare (
fare_id int,
from_airport va... | 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 = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_na... | atis |
CREATE TABLE table_204_105 (
id number,
"#" number,
"name" text,
"height" text,
"weight (lbs.)" number,
"position" text,
"class" text,
"hometown" text,
"previous team(s)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which player pr... | SELECT "name" FROM table_204_105 WHERE "previous team(s)" = 'sacred heart' | squall |
CREATE TABLE table_name_16 (
election_date VARCHAR,
electorate VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the election date for the city of auckland category:articles with hcards?
| SELECT election_date FROM table_name_16 WHERE electorate = "city of auckland category:articles with hcards" | sql_create_context |
CREATE TABLE table_name_76 (
score VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score of the match on June 4, 2008?
| SELECT score FROM table_name_76 WHERE date = "june 4, 2008" | sql_create_context |
CREATE TABLE table_name_25 (
attendance INTEGER,
opponent VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Attendance has an Opponent of @ oilers, and a Date of may 25?
| SELECT MAX(attendance) FROM table_name_25 WHERE opponent = "@ oilers" AND date = "may 25" | sql_create_context |
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 ... | SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 75658) AND microbiologyevents.spec_type_desc = 'sputum' AND DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 yea... | mimic_iii |
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 state (
state_code text,
state_name text,
country_name text
)
CREATE T... | 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, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND date_day.day_number = 5 AND date_day.month_number = 7 AND d... | atis |
CREATE TABLE table_36776 (
"Rank" real,
"Name" text,
"Nationality" text,
"1st (m)" real,
"2nd (m)" real,
"Points" real,
"Overall FHT points" text,
"Overall WC points (Rank)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the tota... | SELECT COUNT("1st (m)") FROM table_36776 WHERE "Name" = 'martin schmitt' AND "Points" < '235.7' | wikisql |
CREATE TABLE table_14068 (
"Rank" real,
"Athlete" text,
"Country" text,
"Time" text,
"Notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who has less than 5 rank and notes of fb?
| SELECT "Athlete" FROM table_14068 WHERE "Notes" = 'fb' AND "Rank" < '5' | wikisql |
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TA... | SELECT SUM(cost.cost) FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-83902') | eicu |
CREATE TABLE table_19805 (
"#" real,
"Episode" text,
"Writer" text,
"Director" text,
"Original air date" text,
"Viewing figure" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who wrote the episode that David Tucker directed?
| SELECT COUNT("Writer") FROM table_19805 WHERE "Director" = 'David Tucker' | wikisql |
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
... | SELECT EMAIL, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMPLOYEE_ID | 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 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 demographic.discharge_location = "HOME" AND procedures.long_title = "Other diagnostic procedures on nasal sinuses" | mimicsql_data |
CREATE TABLE table_23613 (
"Year" real,
"Author(s) or Editor(s)" text,
"Book Title" text,
"Publisher" text,
"Category" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the title of the book when the publisher is black car pu... | SELECT "Book Title" FROM table_23613 WHERE "Publisher" = 'Black Car Publishing' | wikisql |
CREATE TABLE table_69304 (
"Outcome" text,
"Tournament" text,
"Surface" text,
"Partner" text,
"Opponent in the final" text,
"Score" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score of the final in which Melanie South played with... | SELECT "Score" FROM table_69304 WHERE "Surface" = 'clay' AND "Partner" = 'remi tezuka' | wikisql |
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org... | 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 = 17667)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.lab... | mimic_iii |
CREATE TABLE table_name_32 (
year INTEGER,
chassis VARCHAR,
points VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total of the year with a point larger than 0 or the Chassis of Minardi m190?
| SELECT SUM(year) FROM table_name_32 WHERE chassis = "minardi m190" AND points > 0 | sql_create_context |
CREATE TABLE table_23670057_1 (
height__m_ VARCHAR,
no VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the height for number 7
| SELECT height__m_ FROM table_23670057_1 WHERE no = 7 | sql_create_context |
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_kc21.IN_DIAG_DIS_CD, t_kc21.IN_DIAG_DIS_NM FROM t_kc21 WHERE t_kc21.PERSON_NM = '金秀筠' AND t_kc21.MED_CLINIC_ID IN (SELECT t_kc21_t_kc24.MED_CLINIC_ID FROM t_kc24 WHERE t_kc24.MED_AMOUT >= 8263.6) | css |
CREATE TABLE table_1439096_1 (
original_air_date__atv_ VARCHAR,
episode_no VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the original air date (atv) of episode 1?
| SELECT original_air_date__atv_ FROM table_1439096_1 WHERE episode_no = 1 | sql_create_context |
CREATE TABLE table_52414 (
"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 is the Crowd number for the Away team of Ri... | SELECT SUM("Crowd") FROM table_52414 WHERE "Away team" = 'richmond' | wikisql |
CREATE TABLE table_name_91 (
stadium VARCHAR,
opposition VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which stadium had the opposition of 79,122?
| SELECT stadium FROM table_name_91 WHERE opposition = "79,122" | sql_create_context |
CREATE TABLE table_77832 (
"Name" text,
"Date of Birth" text,
"Date of Death" text,
"Age at Time of Disaster" text,
"Age at Time of Death" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How old was the person born 24 September 1851 at the time of di... | SELECT "Age at Time of Disaster" FROM table_77832 WHERE "Date of Birth" = '24 september 1851' | wikisql |
CREATE TABLE table_13254 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many bronzes had a rank of 10 and 0 gold?
| SELECT SUM("Bronze") FROM table_13254 WHERE "Rank" = '10' AND "Gold" < '0' | wikisql |
CREATE TABLE company (
headquarters VARCHAR,
main_industry VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show all headquarters with both a company in banking industry and a company in Oil and gas.
| SELECT headquarters FROM company WHERE main_industry = 'Banking' INTERSECT SELECT headquarters FROM company WHERE main_industry = 'Oil and gas' | sql_create_context |
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE... | SELECT Time, ID FROM swimmer | nvbench |
CREATE TABLE table_43802 (
"Event" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the most silver when the event is 2008 summer paralympics and bronze is less than 1?
| SELECT MAX("Silver") FROM table_43802 WHERE "Event" = '2008 summer paralympics' AND "Bronze" < '1' | wikisql |
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugst... | SELECT COUNT(*) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '018-20179')) AND treatment.treatmentname = 'vasopressors - norepinephrine <= 0.1... | eicu |
CREATE TABLE table_68636 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was marlboro brm's lowest points by using brm p160b?
| SELECT MIN("Points") FROM table_68636 WHERE "Entrant" = 'marlboro brm' AND "Chassis" = 'brm p160b' | wikisql |
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
... | 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, fare, flight, flight_fare WHERE (((flight.airline_code = 'UA') AND flight.flight_number = 281) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' ... | atis |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.