instruction stringlengths 151 7.46k | output stringlengths 2 4.44k | source stringclasses 26
values |
|---|---|---|
CREATE TABLE table_29732 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who go... | SELECT "High assists" FROM table_29732 WHERE "Team" = '@ Indiana' | wikisql |
CREATE TABLE table_203_14 (
id number,
"#" number,
"date" text,
"venue" text,
"opponent" text,
"score" text,
"result" text,
"competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many international goals did teeratep winothai m... | SELECT COUNT(*) FROM table_203_14 WHERE "date" = 2009 | squall |
CREATE TABLE table_5191 (
"Round" real,
"Player" text,
"Position" text,
"Nationality" text,
"College/Junior/Club Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the nationality of the player in round 4?
| SELECT "Nationality" FROM table_5191 WHERE "Round" = '4' | wikisql |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "MAGO140" AND lab."CATEGORY" = "Hematology" | mimicsql_data |
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 MED_CLINIC_ID FROM t_kc21 WHERE PERSON_NM = '孔婉丽' AND MED_CLINIC_ID IN (SELECT MED_CLINIC_ID FROM t_kc22 WHERE AMOUNT >= 1836.29) | css |
CREATE TABLE table_11677100_12 (
position VARCHAR,
hometown VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which position did the player from the hometown of Dallas, TX play?
| SELECT position FROM table_11677100_12 WHERE hometown = "Dallas, TX" | sql_create_context |
CREATE TABLE table_name_79 (
date VARCHAR,
home_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What day is collingwood the home side?
| SELECT date FROM table_name_79 WHERE home_team = "collingwood" | sql_create_context |
CREATE TABLE table_55727 (
"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.
-- How many people were in the Crowd when the Home ... | SELECT COUNT("Crowd") FROM table_55727 WHERE "Home team score" = '10.7 (67)' | wikisql |
CREATE TABLE table_204_57 (
id number,
"year" number,
"film" text,
"role" text,
"language" text,
"notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of films in tamil ?
| SELECT COUNT("film") FROM table_204_57 WHERE "language" = 'tamil' | squall |
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CRE... | SELECT COUNT(*) FROM Votes WHERE Votes.VoteTypeId IN (2) AND Votes.CreationDate >= DATEADD(DAY, -30, GETDATE()) | sede |
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_stock int
)
CREATE TABLE phone (
Name text,
Phone_ID int,
Memory_in_G int,
Carrier text,
Price... | SELECT Carrier, COUNT(*) FROM phone GROUP BY Carrier | nvbench |
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "4" AND lab."CATEGORY" = "Hematology" | 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2043" AND lab.fluid = "Urine" | mimicsql_data |
CREATE TABLE table_18415 (
"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.
-- What district is incumbent elmer j. holland from?
| SELECT "District" FROM table_18415 WHERE "Incumbent" = 'Elmer J. Holland' | 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 demographic.age FROM demographic WHERE demographic.subject_id = "14755" | mimicsql_data |
CREATE TABLE table_18373863_2 (
mlb_team VARCHAR,
fcsl_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When winter pines is the fcsl team how many mlb teams are there?
| SELECT COUNT(mlb_team) FROM table_18373863_2 WHERE fcsl_team = "Winter Pines" | sql_create_context |
CREATE TABLE rating (
rid number,
mid number,
stars number,
ratingdate time
)
CREATE TABLE movie (
mid number,
title text,
year number,
director text
)
CREATE TABLE reviewer (
rid number,
name text
)
-- Using valid SQLite, answer the following questions for the tables provide... | SELECT rid FROM reviewer WHERE name = "Daniel Lewis" | spider |
CREATE TABLE table_54938 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who recorded the loss on august 7?
| SELECT "Loss" FROM table_54938 WHERE "Date" = 'august 7' | wikisql |
CREATE TABLE financial_transactions (
transaction_id number,
account_id number,
invoice_number number,
transaction_type text,
transaction_date time,
transaction_amount number,
transaction_comment text,
other_transaction_details text
)
CREATE TABLE products (
product_id number,
p... | SELECT product_id, COUNT(DISTINCT order_id) FROM order_items GROUP BY product_id | spider |
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JO... | SELECT SALARY, COMMISSION_PCT FROM employees WHERE HIRE_DATE < '2002-06-21' | nvbench |
CREATE TABLE table_34616 (
"Region served" text,
"City" text,
"Channels ( Analog / Digital )" text,
"First air date" text,
"ERP (Analog/ Digital)" text,
"HAAT (Analog/ Digital) 1" text,
"Transmitter Location" text
)
-- Using valid SQLite, answer the following questions for the tables provi... | SELECT "City" FROM table_34616 WHERE "ERP (Analog/ Digital)" = '600kw 500kw' | wikisql |
CREATE TABLE table_71484 (
"Team 1" text,
"Agg." text,
"Team 2" text,
"1st leg" text,
"2nd leg" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which 2nd leg came after a 1st leg of 0-3?
| SELECT "2nd leg" FROM table_71484 WHERE "1st leg" = '0-3' | wikisql |
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 lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "NonSquamous Epithelial Cell" | mimicsql_data |
CREATE TABLE country (
Country_id int,
Country_name text,
Capital text,
Official_native_language text
)
CREATE TABLE player (
Player_ID int,
Player text,
Years_Played text,
Total_WL text,
Singles_WL text,
Doubles_WL text,
Team int
)
CREATE TABLE match_season (
Season re... | SELECT Position, COUNT(*) FROM match_season GROUP BY Position ORDER BY COUNT(*) 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 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 WHERE demographic.discharge_location = "HOME HEALTH CARE" AND demographic.days_stay > "10" | mimicsql_data |
CREATE TABLE table_name_79 (
draw VARCHAR,
dance_styles VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many draws have rumba/tango dance styles?
| SELECT COUNT(draw) FROM table_name_79 WHERE dance_styles = "rumba/tango" | sql_create_context |
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(... | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(EMPLOYEE_ID) | nvbench |
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE requirement (
... | SELECT DISTINCT course.name, course.number, semester.semester, semester.year FROM course, course_offering, semester WHERE ((semester.semester = 'FA' AND semester.year = 2016) OR (semester.semester = 'FA' AND semester.year = 2017) OR (semester.semester = 'FA' AND semester.year = 2018) OR (semester.semester = 'WN' AND se... | advising |
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text... | WITH cnt AS (SELECT Count FROM Tags WHERE TagName = 'solaris') SELECT COUNT(*) FROM Tags WHERE Count > (SELECT Count FROM cnt) | sede |
CREATE TABLE table_71833 (
"Park" text,
"Tower height" text,
"Drop height*" text,
"Speed" text,
"Model" text,
"Opened" text,
"Height requirement" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What opened with a drop height of 272feet?
| SELECT "Opened" FROM table_71833 WHERE "Drop height*" = '272feet' | wikisql |
CREATE TABLE table_name_77 (
player VARCHAR,
points VARCHAR,
touchdowns VARCHAR,
extra_points VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Player has less than 10 Touchdowns and 0 Extra points and more than 5 Points?
| SELECT player FROM table_name_77 WHERE touchdowns < 10 AND extra_points = 0 AND points > 5 | sql_create_context |
CREATE TABLE table_26328 (
"Sector" text,
"Establishments" real,
"Sales, receipts, or shipments ($1,000)" real,
"Annual payroll ($1,000)" real,
"Paid employees" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the establishment is 49319, what is th... | SELECT MAX("Sales, receipts, or shipments ($1,000)") FROM table_26328 WHERE "Establishments" = '49319' | wikisql |
CREATE TABLE table_20580 (
"Platform" real,
"Frequency (per hour)" real,
"Destination" text,
"Service Pattern" text,
"Operator" text,
"Line" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the operator to Highbury & Islington?
| SELECT "Operator" FROM table_20580 WHERE "Destination" = 'Highbury & Islington' | wikisql |
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JY... | SELECT jybgb.SHSJ FROM hz_info JOIN mzjzjlb JOIN jybgb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE hz_info.RYBH = '08644482' AND jybgb.BGRQ BETWEEN '2006-10-22' AND '2014-07-12' UNION... | css |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "SEPSIS" AND demographic.admityear < "2162" | mimicsql_data |
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JY... | SELECT mzjzjlb.JZJSSJ FROM mzjzjlb WHERE mzjzjlb.JZLSH = '45655595406' | css |
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,
city_code VARCHAR(3)
)
CREATE TABLE Has_Allergy (
StuID INTEGE... | SELECT AllergyType, COUNT(AllergyType) FROM Allergy_Type GROUP BY AllergyType ORDER BY COUNT(AllergyType) DESC | nvbench |
CREATE TABLE table_204_87 (
id number,
"courthouse" text,
"city" text,
"street address" text,
"jurisdiction" text,
"dates of use" text,
"named for" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many total courthouses have there been in ... | SELECT COUNT("courthouse") FROM table_204_87 | squall |
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_CD, t_kc22.SOC_SRT_DIRE_NM, t_kc22.UNIVALENT FROM t_kc22 WHERE t_kc21_t_kc22.MED_CLINIC_ID IN (SELECT t_kc21.MED_CLINIC_ID FROM t_kc21 WHERE t_kc21.PERSON_NM = '陈梦凡' AND t_kc21.MED_SER_ORG_NO = '5107523') ORDER BY t_kc22.UNIVALENT DESC LIMIT 1 | css |
CREATE TABLE table_26758262_1 (
district INTEGER,
location_of_court VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What district is the court located in Tolland?
| SELECT MAX(district) FROM table_26758262_1 WHERE location_of_court = "Tolland" | sql_create_context |
CREATE TABLE table_18655 (
"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 ran for office at the Georgia 4 district in this election?
| SELECT "Candidates" FROM table_18655 WHERE "District" = 'Georgia 4' | wikisql |
CREATE TABLE table_64410 (
"Opposing Team" text,
"Against" real,
"Date" text,
"Venue" text,
"Round" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest Against for a game against Bristol City?
| SELECT MAX("Against") FROM table_64410 WHERE "Opposing Team" = 'bristol city' | wikisql |
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE Posts ... | SELECT Posts.Id AS "post_link", Posts.Tags, PostHistory.CreationDate FROM Posts, PostHistory WHERE Posts.Id = PostHistory.PostId AND NOT Posts.Tags LIKE '%<rules-as-written>%' AND PostHistory.Text LIKE '%<rules-as-written>%' ORDER BY Posts.Id DESC, PostHistory.CreationDate | sede |
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
... | 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 ((flight.arrival_time <= 1800 AND flight.arrival_time >= 1600) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'LOS ANGELES' AND flight... | atis |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.days_stay > "11" | mimicsql_data |
CREATE TABLE person_info_hz_info (
RYBH text,
KH number,
KLX number,
YLJGDM number
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,... | SELECT jybgb.BBCJBW FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN person_info_hz_info JOIN person_info ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND person_info_hz_info.KH = hz_info.KH AND pe... | css |
CREATE TABLE ENROLL (
CLASS_CODE varchar(5),
STU_NUM int,
ENROLL_GRADE varchar(50)
)
CREATE TABLE STUDENT (
STU_NUM int,
STU_LNAME varchar(15),
STU_FNAME varchar(15),
STU_INIT varchar(1),
STU_DOB datetime,
STU_HRS int,
STU_CLASS varchar(2),
STU_GPA float(8),
STU_TRANSFER... | SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM GROUP BY EMP_FNAME ORDER BY COUNT(EMP_FNAME) DESC | nvbench |
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH ... | SELECT SBBM, YQBH, YQMC FROM jyjgzbb WHERE JYZBLSH = '68679682654' | css |
CREATE TABLE table_8896 (
"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 average lane racheal nachula has when the heat is less than 2?
| SELECT AVG("Lane") FROM table_8896 WHERE "Heat" < '2' AND "Name" = 'racheal nachula' | wikisql |
CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG numb... | SELECT (SELECT COUNT(*) FROM t_kc21 WHERE MED_SER_ORG_NO = '0323169' AND IN_HOSP_DATE BETWEEN '2000-01-05' AND '2007-11-28') - (SELECT COUNT(*) FROM t_kc21 WHERE MED_SER_ORG_NO = '0323169' AND IN_HOSP_DATE BETWEEN '2000-01-05' AND '2007-11-28' AND IN_DIAG_DIS_CD = OUT_DIAG_DIS_CD) | css |
CREATE TABLE table_817 (
"Stain" text,
"Common use" text,
"Nucleus" text,
"Cytoplasm" text,
"Red blood cell (RBC)" text,
"Collagen fibers" text,
"Specifically stains" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- The pink cytoplasm will hav... | SELECT "Nucleus" FROM table_817 WHERE "Cytoplasm" = 'Pink' | wikisql |
CREATE TABLE Medication (
Code INTEGER,
Name VARCHAR(30),
Brand VARCHAR(30),
Description VARCHAR(30)
)
CREATE TABLE Physician (
EmployeeID INTEGER,
Name VARCHAR(30),
Position VARCHAR(30),
SSN INTEGER
)
CREATE TABLE Affiliated_With (
Physician INTEGER,
Department INTEGER,
Pr... | SELECT T1.Name, COUNT(T1.Name) FROM Physician AS T1 JOIN Trained_In AS T2 ON T1.EmployeeID = T2.Physician JOIN Procedures AS T3 ON T3.Code = T2.Treatment WHERE T3.Cost > 5000 GROUP BY T1.Name | nvbench |
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE ta (
campus_job_id int,
... | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%PreMajor%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM progra... | advising |
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_Games, Team_ID FROM basketball_match ORDER BY All_Games | nvbench |
CREATE TABLE table_name_6 (
record VARCHAR,
score VARCHAR,
visitor VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When the Vancouver Canucks were visiting, what was the record when the score was 4-2?
| SELECT record FROM table_name_6 WHERE score = "4-2" AND visitor = "vancouver canucks" | 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 WHERE demographic.marital_status = "SINGLE" AND demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" | mimicsql_data |
CREATE TABLE table_26448179_3 (
title VARCHAR,
us_viewers__millions_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What title was watched by 3.8 million US viewers?
| SELECT title FROM table_26448179_3 WHERE us_viewers__millions_ = "3.8" | sql_create_context |
CREATE TABLE table_32709 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Record" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which opponent had the result of W 24-14?
| SELECT "Opponent" FROM table_32709 WHERE "Result" = 'w 24-14' | wikisql |
CREATE TABLE table_name_74 (
year INTEGER,
location VARCHAR,
anthem VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the earliest year it was located in gelredome, arnhem, and a Anthem of technoboy - next dimensional world?
| SELECT MIN(year) FROM table_name_74 WHERE location = "gelredome, arnhem" AND anthem = "technoboy - next dimensional world" | sql_create_context |
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
-- Using valid SQLite, answer the following questions for the... | SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T1.Name DESC | nvbench |
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d... | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'multivitamin iv' AND STRFTIME('%y', prescriptions.startdate) >= '... | mimic_iii |
CREATE TABLE table_17023 (
"Number" text,
"TMS Number" text,
"Builder" text,
"Year built" real,
"Carriage type" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What tms were built nzr addington in the year 1913
| SELECT "TMS Number" FROM table_17023 WHERE "Builder" = 'NZR Addington' AND "Year built" = '1913' | wikisql |
CREATE TABLE table_203_383 (
id number,
"week" number,
"date" text,
"opponent" text,
"time" text,
"game site" text,
"tv" text,
"result/score" text,
"record" text,
"bye" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who was the n... | SELECT "opponent" FROM table_203_383 WHERE "date" > (SELECT "date" FROM table_203_383 WHERE "opponent" = 'san francisco 49ers') ORDER BY "date" LIMIT 1 | squall |
CREATE TABLE table_34265 (
"Team" text,
"Winners" text,
"Runners-Up" text,
"Third Place" text,
"Fourth Place" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many winners did Halcones uv xalapa have?
| SELECT "Winners" FROM table_34265 WHERE "Team" = 'halcones uv xalapa' | wikisql |
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTas... | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS Rank, Id, DisplayName, Reputation, WebsiteUrl, Location FROM Users WHERE Location LIKE '%Thailand%' LIMIT 1000 | sede |
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 demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "56" AND prescriptions.drug = "Insulin Human Regular" | mimicsql_data |
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_DIRE_CD text,
MED_DIRE_NM text,... | SELECT COUNT(t_kc21.PERSON_ID) FROM t_kc21 WHERE t_kc21.IN_DIAG_DIS_CD = 'F33.464' | css |
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsysto... | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, COUNT(*) AS c1 FROM patient WHERE patient.patientunitstayid = (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'ferrous iron compound' AND STRFTIME('%y', treatment.treatmenttime) >= '2102') GROUP BY patient.uniquepid) ... | eicu |
CREATE TABLE table_name_15 (
constructor VARCHAR,
driver VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the company that constructed the vehicle for Timo Glock?
| SELECT constructor FROM table_name_15 WHERE driver = "timo glock" | sql_create_context |
CREATE TABLE table_1342292_4 (
district VARCHAR,
first_elected VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What district had someone first elected in 1932?
| SELECT district FROM table_1342292_4 WHERE first_elected = 1932 | 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_kc22.SOC_SRT_DIRE_CD, t_kc22.SOC_SRT_DIRE_NM FROM t_kc21 JOIN t_kc22 ON t_kc21.MED_CLINIC_ID = t_kc22.MED_CLINIC_ID WHERE t_kc21.IN_DIAG_DIS_NM = '瘙痒症' | css |
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 MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.discharge_location = "REHAB/DISTINCT PART HOSP" | mimicsql_data |
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperfield (
fieldid int,
pape... | SELECT DISTINCT paperkeyphrase.paperid FROM keyphrase, paperkeyphrase WHERE keyphrase.keyphrasename IN ('Convolution', 'Combinatoric') GROUP BY paperkeyphrase.paperid HAVING COUNT(DISTINCT keyphrase.keyphraseid) = 1 | scholar |
CREATE TABLE Elimination (
Elimination_ID text,
Wrestler_ID text,
Team text,
Eliminated_By text,
Elimination_Move text,
Time text
)
CREATE TABLE wrestler (
Wrestler_ID int,
Name text,
Reign text,
Days_held text,
Location text,
Event text
)
-- Using valid SQLite, answer... | SELECT Location, COUNT(Location) FROM wrestler GROUP BY Location ORDER BY Location DESC | nvbench |
CREATE TABLE table_203_803 (
id number,
"draw" number,
"country" text,
"language" text,
"artist" text,
"song" text,
"english translation" text,
"place" number,
"points" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which artist 's... | SELECT "artist" FROM table_203_803 WHERE "artist" IN ('dina', 'kali') ORDER BY "points" LIMIT 1 | squall |
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id nu... | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'contrast ao... | mimic_iii |
CREATE TABLE table_27698941_2 (
high_points VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many people led in points during the game on October 5?
| SELECT COUNT(high_points) FROM table_27698941_2 WHERE date = "October 5" | 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 COUNT(DISTINCT IN_DIAG_DIS_CD) FROM t_kc21 WHERE PERSON_NM = '方成双' AND IN_HOSP_DATE BETWEEN '2011-07-30' AND '2016-01-19' | css |
CREATE TABLE Reservations (
Code INTEGER,
Room TEXT,
CheckIn TEXT,
CheckOut TEXT,
Rate REAL,
LastName TEXT,
FirstName TEXT,
Adults INTEGER,
Kids INTEGER
)
CREATE TABLE Rooms (
RoomId TEXT,
roomName TEXT,
beds INTEGER,
bedType TEXT,
maxOccupancy INTEGER,
baseP... | SELECT decor, COUNT(*) FROM Rooms WHERE bedType = "King" GROUP BY decor ORDER BY decor | nvbench |
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId... | SELECT COALESCE(c.TargetTagName, b.TargetTagName, a.TargetTagName, Tags.TagName) AS "tagname", COUNT(Posts.ClosedDate) AS closed, COUNT(*) - COUNT(Posts.ClosedDate) AS "open" FROM Posts JOIN PostTags ON (Posts.Id = PostTags.PostId) JOIN Tags ON (PostTags.TagId = Tags.Id) LEFT JOIN TagSynonyms AS a ON (Tags.TagName = a.... | sede |
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JY... | SELECT * FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN mzjzjlb_jybgb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = mzjzjlb_jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.... | css |
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 chartevents (
row_id number,
subject_id number,
had... | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'oth/uns inf-cen ven cath') AND DATETIME(diagnoses_icd.char... | mimic_iii |
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD tex... | SELECT AVG(gwyjzb.MED_AMOUT) FROM gwyjzb WHERE gwyjzb.MED_ORG_DEPT_NM = '神经内科' AND gwyjzb.IN_HOSP_DATE BETWEEN '2008-03-15' AND '2013-06-01' AND gwyjzb.IN_DIAG_DIS_CD = 'L40.551' AND gwyjzb.CLINIC_TYPE = '住院' UNION SELECT AVG(fgwyjzb.MED_AMOUT) FROM fgwyjzb WHERE fgwyjzb.MED_ORG_DEPT_NM = '神经内科' AND fgwyjzb.IN_HOSP_DAT... | css |
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD tex... | SELECT AVG(zyb.MED_CLINIC_ID) FROM zyb WHERE zyb.MED_ORG_DEPT_NM = '0798' AND zyb.IN_HOSP_DAYS BETWEEN '2003-11-08' AND '2021-11-28' AND zyb.IN_HOSP_DATE = '牙齿楔状缺损' | css |
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE fzzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
... | SELECT * FROM hz_info JOIN zzmzjzjlb ON hz_info.YLJGDM = zzmzjzjlb.YLJGDM AND hz_info.KH = zzmzjzjlb.KH AND hz_info.KLX = zzmzjzjlb.KLX WHERE hz_info.RYBH = '33343634' AND hz_info.YLJGDM = '0257610' AND zzmzjzjlb.JZZDSM LIKE '%期%' UNION SELECT * FROM hz_info JOIN fzzmzjzjlb ON hz_info.YLJGDM = fzzmzjzjlb.YLJGDM AND hz_... | css |
CREATE TABLE table_name_64 (
year INTEGER,
engine VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the lowest year that the engine Ilmor 2175a 3.5 v10 was used?
| SELECT MIN(year) FROM table_name_64 WHERE engine = "ilmor 2175a 3.5 v10" | sql_create_context |
CREATE TABLE table_58658 (
"Matches" real,
"Wins" real,
"Draw" real,
"Losses" real,
"Against" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many wins has more than 165 against?
| SELECT MAX("Wins") FROM table_58658 WHERE "Against" > '165' | wikisql |
CREATE TABLE table_43749 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the player from the United States with a score of 71-72=143?
| SELECT "Player" FROM table_43749 WHERE "Country" = 'united states' AND "Score" = '71-72=143' | wikisql |
CREATE TABLE table_name_96 (
polling_firm VARCHAR,
date_of_polling VARCHAR,
green VARCHAR,
link VARCHAR,
liberal VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which september 26 28, 2011 polling firm had a Link of html, less than 36 liberals, an... | SELECT polling_firm FROM table_name_96 WHERE link = "html" AND liberal < 36 AND green < 8 AND date_of_polling = "september 26–28, 2011" | sql_create_context |
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
... | SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM hz_info JOIN txmzjzjlb JOIN jybgb JOIN jyjgzbb ON hz_info.YLJGDM = txmzjzjlb.YLJGDM AND hz_info.KH = txmzjzjlb.KH AND hz_info.KLX = txmzjzjlb.KLX AND txmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND txmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jyb... | css |
CREATE TABLE table_name_72 (
pick VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was 1948's pick?
| SELECT pick FROM table_name_72 WHERE year = 1948 | sql_create_context |
CREATE TABLE table_name_95 (
driver VARCHAR,
grid VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What driver shows grid as 18?
| SELECT driver FROM table_name_95 WHERE grid = 18 | sql_create_context |
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text... | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%india%' OR UPPER(Location) LIKE '%IND' ORDER BY Reputation DESC LIMIT 1000 | sede |
CREATE TABLE table_name_26 (
tickets_sold___available VARCHAR,
gross_revenue__1979_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which venue has Tickets Sold/ Available with a Gross Revenue (1979) of $665,232?
| SELECT tickets_sold___available FROM table_name_26 WHERE gross_revenue__1979_ = "$665,232" | sql_create_context |
CREATE TABLE table_76644 (
"Target/Approach" text,
"Candidate Name" text,
"Trial Phase" text,
"Trial Start Date" text,
"Expected End Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Candidate Name, when Target/Approach is 'vaccine to amy... | SELECT "Candidate Name" FROM table_76644 WHERE "Target/Approach" = 'vaccine to amyloid-beta' | wikisql |
CREATE TABLE table_40896 (
"Rank" real,
"Name" text,
"Years" text,
"Matches" text,
"Goals" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Can you tell me the Matches that has the Rank smaller than 6, and the Years of 1943-62?
| SELECT "Matches" FROM table_40896 WHERE "Rank" < '6' AND "Years" = '1943-62' | wikisql |
CREATE TABLE table_name_33 (
model VARCHAR,
displacement VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What model has an engine of 1,868 cc?
| SELECT model FROM table_name_33 WHERE displacement = "1,868 cc" | sql_create_context |
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 SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t4.diagnosistime) > 5 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.uniquepid, t2.diagnosistime FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid... | eicu |
CREATE TABLE table_37136 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" real,
"Time" text,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the location of the bout that lasted 5:00 ... | SELECT "Location" FROM table_37136 WHERE "Time" = '5:00' AND "Record" = '6-2-1' | wikisql |
CREATE TABLE table_name_10 (
active_pixels VARCHAR,
model VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the active pixels of the cantare model?
| SELECT active_pixels FROM table_name_10 WHERE model = "cantare" | sql_create_context |
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