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CREATE TABLE table_name_37 (
surface VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the surface of the tournament with Sascha Kloer as the opponent?
| SELECT surface FROM table_name_37 WHERE opponent = "sascha kloer" | sql_create_context |
CREATE TABLE neighborhood (
id int,
business_id varchar,
neighborhood_name varchar
)
CREATE TABLE review (
rid int,
business_id varchar,
user_id varchar,
rating float,
text longtext,
year int,
month varchar
)
CREATE TABLE business (
bid int,
business_id varchar,
name varchar,
full_address varchar,
city varchar,
latitude varchar,
longitude varchar,
review_count bigint,
is_open tinyint,
rating float,
state varchar
)
CREATE TABLE category (
id int,
business_id varchar,
category_name varchar
)
CREATE TABLE user (
uid int,
user_id varchar,
name varchar
)
CREATE TABLE checkin (
cid int,
business_id varchar,
count int,
day varchar
)
CREATE TABLE tip (
tip_id int,
business_id varchar,
text longtext,
user_id varchar,
likes int,
year int,
month varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the total checkins in Sunday
| SELECT SUM(count) FROM checkin WHERE day = 'Sunday' | yelp |
CREATE TABLE table_name_61 (
drawn INTEGER,
games INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many Drawn is which has a Games smaller than 6?
| SELECT SUM(drawn) FROM table_name_61 WHERE games < 6 | sql_create_context |
CREATE TABLE table_name_61 (
catalog VARCHAR,
region VARCHAR,
format VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Catalog has a Region of Canada and a Format of cd/dvd?
| SELECT catalog FROM table_name_61 WHERE region = "canada" AND format = "cd/dvd" | sql_create_context |
CREATE TABLE table_name_19 (
location VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which location held the bout that led to a 4-3 record?
| SELECT location FROM table_name_19 WHERE record = "4-3" | sql_create_context |
CREATE TABLE table_21132404_1 (
_percentage_2006 VARCHAR,
political_parties VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many time was the political party the social democratic party of germany?
| SELECT COUNT(_percentage_2006) FROM table_21132404_1 WHERE political_parties = "Social Democratic Party of Germany" | sql_create_context |
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname 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,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Is Prof. Yves Atchade the head professor for 525 next semester ?
| SELECT COUNT(*) > 0 FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 525 AND instructor.name LIKE '%Yves Atchade%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | advising |
CREATE TABLE table_train_40 (
"id" int,
"bone_marrow_transplant" bool,
"organ_transplantation" bool,
"systolic_blood_pressure_sbp" int,
"do_not_resuscitate_dnr" bool,
"autoimmune_disease" bool,
"steroid_therapy" bool,
"intention_to_central_venous_catheter" bool,
"hematologic_disease" bool,
"sepsis" bool,
"acute_leukemia" bool,
"allergy_to_ifn_gamma" bool,
"neoplasma" bool,
"receiving_prednisolone" int,
"septic_shock" bool,
"lactate" int,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- established do not resuscitate orders prior to enrollment
| SELECT * FROM table_train_40 WHERE do_not_resuscitate_dnr = 1 | criteria2sql |
CREATE TABLE table_name_80 (
points VARCHAR,
rank VARCHAR,
games VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many points are there for rank 5 with more than 34 games?
| SELECT COUNT(points) FROM table_name_80 WHERE rank = 5 AND games > 34 | sql_create_context |
CREATE TABLE table_60015 (
"Name" text,
"Region" text,
"Programming" text,
"Type" text,
"Encryption" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the region for tv uskana?
| SELECT "Region" FROM table_60015 WHERE "Name" = 'tv uskana' | wikisql |
CREATE TABLE table_16976 (
"Total No." real,
"Celebrity" text,
"Director" text,
"Original air date" text,
"Viewers" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the Original Air Date is 10January2008, what directors released on that date?
| SELECT "Director" FROM table_16976 WHERE "Original air date" = '10January2008' | wikisql |
CREATE TABLE table_name_73 (
home_team VARCHAR,
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the home team that played Collingwood?
| SELECT home_team FROM table_name_73 WHERE away_team = "collingwood" | sql_create_context |
CREATE TABLE publication (
Publication_ID int,
Book_ID int,
Publisher text,
Publication_Date text,
Price real
)
CREATE TABLE book (
Book_ID int,
Title text,
Issues real,
Writer text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show different publishers together with the number of publications they have Plot them as bar chart, and could you list by the total number from high to low?
| SELECT Publisher, COUNT(*) FROM publication GROUP BY Publisher ORDER BY COUNT(*) DESC | nvbench |
CREATE TABLE table_63789 (
"Rank" real,
"Athlete" text,
"Country" text,
"Time" text,
"Notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest rank for a 6:52.70 time and notes of sa/b?
| SELECT MAX("Rank") FROM table_63789 WHERE "Notes" = 'sa/b' AND "Time" = '6:52.70' | wikisql |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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 (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients whose marital status is single?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "SINGLE" | mimicsql_data |
CREATE TABLE table_53048 (
"Raion (district) or City" text,
"Total" text,
"Ukrainians" text,
"Moldovans" text,
"Bessarabian Bulgarians" text,
"Russians" text,
"Gagauzians" text,
"Other ethnic groups\u00b2" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What city or Raion (district) has 8,600 Bessarabian Bulgarians?
| SELECT "Raion (district) or City" FROM table_53048 WHERE "Bessarabian Bulgarians" = '8,600' | wikisql |
CREATE TABLE table_4823 (
"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 away team's score when south melbourne is the away team?
| SELECT "Away team score" FROM table_4823 WHERE "Away team" = 'south melbourne' | wikisql |
CREATE TABLE table_name_64 (
date INTEGER,
cores_per_die___dies_per_module VARCHAR,
clock VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the latest date with Cores per die / Dies per module of 2 / 1, and a Clock of 1.4-1.6ghz?
| SELECT MAX(date) FROM table_name_64 WHERE cores_per_die___dies_per_module = "2 / 1" AND clock = "1.4-1.6ghz" | sql_create_context |
CREATE TABLE table_20500097_1 (
points VARCHAR,
poles INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many points did he win in the race with more than 1.0 poles?
| SELECT points FROM table_20500097_1 WHERE poles > 1.0 | sql_create_context |
CREATE TABLE table_64207 (
"Frequency" text,
"Station" text,
"Operator" text,
"Country of origin" text,
"Transmitter location" text,
"Format" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which station has a frequency of 873khz?
| SELECT "Station" FROM table_64207 WHERE "Frequency" = '873khz' | wikisql |
CREATE TABLE table_60853 (
"Position" real,
"Club" text,
"Played" real,
"Wins" real,
"Draws" real,
"Losses" real,
"Goals for" real,
"Goals against" real,
"Points" real,
"Goal Difference" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Can you tell me the average Wins that has the Goal Difference larger than -24, and the Draws larger than 7?
| SELECT AVG("Wins") FROM table_60853 WHERE "Goal Difference" > '-24' AND "Draws" > '7' | wikisql |
CREATE TABLE table_name_1 (
song VARCHAR,
year VARCHAR,
us_hot_100 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Song has a Year smaller than 1979, and a US Hot 100 of 8?
| SELECT song FROM table_name_1 WHERE year < 1979 AND us_hot_100 = "8" | sql_create_context |
CREATE TABLE table_33865 (
"Frequency" real,
"Callsign" text,
"Brand" text,
"City of License" text,
"Website" text,
"Webcast" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Frequency has a Website of , and a Webcast of in san antonio?
| SELECT AVG("Frequency") FROM table_33865 WHERE "Website" = '•' AND "Webcast" = '•' AND "City of License" = 'san antonio' | wikisql |
CREATE TABLE competition_result (
competition_id number,
club_id_1 number,
club_id_2 number,
score text
)
CREATE TABLE club (
club_id number,
name text,
region text,
start_year text
)
CREATE TABLE competition (
competition_id number,
year number,
competition_type text,
country text
)
CREATE TABLE player (
player_id number,
name text,
position text,
club_id number,
apps number,
tries number,
goals text,
points number
)
CREATE TABLE club_rank (
rank number,
club_id number,
gold number,
silver number,
bronze number,
total number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the names of all clubs that do not have any players?
| SELECT name FROM club WHERE NOT club_id IN (SELECT club_id FROM player) | spider |
CREATE TABLE table_70048 (
"Rank" real,
"Mountain Peak" text,
"Province" text,
"Mountain Range" text,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the mountain peak with location of 46.7000 n 60.5992 w
| SELECT "Mountain Peak" FROM table_70048 WHERE "Location" = '46.7000°n 60.5992°w' | wikisql |
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Popular MongoDB Queries by ViewCount.
| SELECT Score, ViewCount, CreationDate, DATEDIFF(DAY, CreationDate, GETDATE()) AS "DaysOpen", (ViewCount / DATEDIFF(DAY, CreationDate, GETDATE())) AS "NewScore", LastActivityDate, Title, Id, Tags FROM Posts WHERE Title LIKE '%mongodb%' OR Tags LIKE '%mongodb%' ORDER BY NewScore DESC | sede |
CREATE TABLE table_8168 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Ground" text,
"Date" text,
"Crowd" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What date was the away team from Adelaide?
| SELECT "Date" FROM table_8168 WHERE "Away team" = 'adelaide' | wikisql |
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE 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 number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of people who were prescribed tamsulosin hcl 0.4 mg po caps within 2 months following a diagnosis of chest pain until 2104.
| SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'chest pain' AND STRFTIME('%y', diagnosis.diagnosistime) <= '2104') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'tamsulosin hcl 0.4 mg po caps' AND STRFTIME('%y', medication.drugstarttime) <= '2104') AS t2 WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t2.drugstarttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') | eicu |
CREATE TABLE table_name_28 (
title VARCHAR,
rank VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which title had rank 9?
| SELECT title FROM table_name_28 WHERE rank = 9 | 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 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,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients whose year of birth is less than 2043 and lab test fluid is urine?
| 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_2006661_1 (
date VARCHAR,
value VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the date for value 55c
| SELECT date FROM table_2006661_1 WHERE value = "55c" | sql_create_context |
CREATE TABLE vocals (
TYPE VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find all the vocal types.
| SELECT DISTINCT TYPE FROM vocals | sql_create_context |
CREATE TABLE festival_detail (
Festival_Name VARCHAR,
YEAR VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the names of the three most recent festivals.
| SELECT Festival_Name FROM festival_detail ORDER BY YEAR DESC LIMIT 3 | sql_create_context |
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
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,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Top 300 users by Reputation in Iran.
| SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id, DisplayName, Reputation, WebsiteUrl, Location FROM Users WHERE Location LIKE '%Iran%' ORDER BY Reputation DESC LIMIT 300 | sede |
CREATE TABLE table_name_90 (
power VARCHAR,
class VARCHAR,
identifier VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the power that belongs to Class A with an Identifier of CBOC-FM?
| SELECT power FROM table_name_90 WHERE class = "a" AND identifier = "cboc-fm" | sql_create_context |
CREATE TABLE table_14805 (
"Date" text,
"Tournament" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the date with margin of victory of 1 stroke and tournament of legend financial group classic
| SELECT "Date" FROM table_14805 WHERE "Margin of victory" = '1 stroke' AND "Tournament" = 'legend financial group classic' | wikisql |
CREATE TABLE people (
People_ID int,
Name text,
Height real,
Weight real,
Birth_Date text,
Birth_Place text
)
CREATE TABLE body_builder (
Body_Builder_ID int,
People_ID int,
Snatch real,
Clean_Jerk real,
Total real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Return a scatter chart about the correlation between People_ID and Total .
| SELECT People_ID, Total FROM body_builder | nvbench |
CREATE TABLE table_name_84 (
outcome VARCHAR,
score_in_final VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the outcome for the match that ended in a score of 5 7, 6 4, [10 7]?
| SELECT outcome FROM table_name_84 WHERE score_in_final = "5–7, 6–4, [10–7]" | sql_create_context |
CREATE TABLE table_name_36 (
slalom VARCHAR,
downhill VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Slalom has a Downhill of 4?
| SELECT slalom FROM table_name_36 WHERE downhill = "4" | sql_create_context |
CREATE TABLE table_58142 (
"Player" text,
"Nationality" text,
"Position" text,
"Years for Jazz" text,
"School/Club Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the nationality of the guard who plays at Utah?
| SELECT "Nationality" FROM table_58142 WHERE "Position" = 'guard' AND "School/Club Team" = 'utah' | wikisql |
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE 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,
drugstoptime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients were prescribed with acetaminophen 650 mg re supp within 2 months after the diagnosis of hepatorenal syndrome,?
| SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hepatorenal syndrome') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'acetaminophen 650 mg re supp') AS t2 WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t2.drugstarttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') | eicu |
CREATE TABLE table_50139 (
"Name" text,
"Latitude" text,
"Longitude" text,
"Diameter (km)" real,
"Year named" real,
"Name origin" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- COunt the sum of Diameter (km) which has a Latitude of 62.7n?
| SELECT SUM("Diameter (km)") FROM table_50139 WHERE "Latitude" = '62.7n' | wikisql |
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- is there any microbiological test result for patient 031-23605's blood, venipuncture the previous year?
| SELECT COUNT(*) FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-23605')) AND microlab.culturesite = 'blood, venipuncture' AND DATETIME(microlab.culturetakentime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | eicu |
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 text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients prescribed sulfameth/trimethoprim ds who were admitted via physician referral/normal delivery?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND prescriptions.drug = "Sulfameth/Trimethoprim DS" | mimicsql_data |
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 the following questions for the tables provided above.
-- What is the proportion of the teams in elimination? Display by a pie chart.
| SELECT Team, COUNT(Team) FROM Elimination GROUP BY Team | nvbench |
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For all employees who have the letters D or S in their first name, a line chart shows the change of employee_id over hire_date, and could you sort by the X in ascending?
| SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE | nvbench |
CREATE TABLE table_name_86 (
network VARCHAR,
title VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Network, when Title is 'Epik High's Love And Delusion'?
| SELECT network FROM table_name_86 WHERE title = "epik high's love and delusion" | sql_create_context |
CREATE TABLE table_71814 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score of the Blue Jays game when their record was 75-68 and the attendance was larger than 33,736?
| SELECT "Score" FROM table_71814 WHERE "Attendance" > '33,736' AND "Record" = '75-68' | wikisql |
CREATE TABLE operate_company (
id number,
name text,
type text,
principal_activities text,
incorporated_in text,
group_equity_shareholding number
)
CREATE TABLE flight (
id number,
vehicle_flight_number text,
date text,
pilot text,
velocity number,
altitude number,
airport_id number,
company_id number
)
CREATE TABLE airport (
id number,
city text,
country text,
iata text,
icao text,
name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the velocity of the pilot named 'Thompson'?
| SELECT AVG(velocity) FROM flight WHERE pilot = 'Thompson' | spider |
CREATE TABLE table_29218221_2 (
rider VARCHAR,
fri_3_june VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the rider with a Fri 3 June time of 18' 19.68 123.516mph?
| SELECT rider FROM table_29218221_2 WHERE fri_3_june = "18' 19.68 123.516mph" | sql_create_context |
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- CV Most Interesting Users - Only Counting 'immediate' votes.
| SELECT COUNT(*) AS score, p.Id, p.OwnerUserId FROM Votes AS v, Posts AS p, Posts AS p2 WHERE v.VoteTypeId = 2 AND v.PostId = p.Id AND p.ParentId = p2.Id AND v.CreationDate - p2.CreationDate < 14 GROUP BY p.Id, p.OwnerUserId HAVING COUNT(*) > 10 | sede |
CREATE TABLE table_name_50 (
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was South Melbourne's score as the away team?
| SELECT away_team AS score FROM table_name_50 WHERE away_team = "south melbourne" | sql_create_context |
CREATE TABLE table_name_64 (
entrant VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the entrant in 1999?
| SELECT entrant FROM table_name_64 WHERE year = 1999 | sql_create_context |
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,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE 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 text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 医院8731863所有的就诊记录里医保的统筹基金花费和总的医疗费比值根据科室不同列出来平均有多少
| SELECT t_kc21.MED_ORG_DEPT_NM, AVG(t_kc24.OVE_PAY) FROM t_kc21 JOIN t_kc24 ON t_kc21.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE t_kc21.MED_SER_ORG_NO = '8731863' GROUP BY t_kc21.MED_ORG_DEPT_NM | css |
CREATE TABLE table_6328 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Partner" text,
"Opponents" text,
"Score" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Tournament on October 24, 1982 had Alycia Moulton as the Partner?
| SELECT "Tournament" FROM table_6328 WHERE "Date" = 'october 24, 1982' AND "Partner" = 'alycia moulton' | wikisql |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose diagnoses icd9 code is 42831 and lab test fluid is other body fluid?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "42831" AND lab.fluid = "Other Body Fluid" | mimicsql_data |
CREATE TABLE table_17683 (
"Series Ep #" real,
"Season 3 Ep #" real,
"Title" text,
"Director" text,
"Writer(s)" text,
"Original Airdate" text,
"Production Code" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the title of season 3 ep# 12?
| SELECT "Title" FROM table_17683 WHERE "Season 3 Ep #" = '12' | wikisql |
CREATE TABLE table_42202 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Country had a Score of 71-67=138?
| SELECT "Country" FROM table_42202 WHERE "Score" = '71-67=138' | wikisql |
CREATE TABLE table_name_45 (
surface VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which has a Score of 6 1, 3 0 ret.?
| SELECT surface FROM table_name_45 WHERE score = "6–1, 3–0 ret." | sql_create_context |
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches NUMERIC,
mean_sea_level_pressure_inches NUMERIC,
min_sea_level_pressure_inches NUMERIC,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches INTEGER,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code INTEGER
)
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,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what are the ids and names of all start stations that were the beginning of at least 200 trips?, and could you rank bars in ascending order?
| SELECT start_station_name, start_station_id FROM trip ORDER BY start_station_name | nvbench |
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
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,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For my graduation is LHC 750 essential ?
| SELECT COUNT(*) > 0 FROM course, program_course WHERE course.department = 'LHC' AND course.number = 750 AND program_course.category LIKE '%Core%' AND program_course.course_id = course.course_id | advising |
CREATE TABLE table_57613 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score of the home team when the opposing team had a score of 9.11 (65)?
| SELECT "Home team score" FROM table_57613 WHERE "Away team score" = '9.11 (65)' | wikisql |
CREATE TABLE table_17879 (
"Week" real,
"Date" text,
"Kickoff ( ET )" text,
"TV" text,
"Opponent" text,
"Result" text,
"Record" text,
"Game Site" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the opponent of the veterans stadium
| SELECT "Opponent" FROM table_17879 WHERE "Game Site" = 'Veterans Stadium' | wikisql |
CREATE TABLE table_65026 (
"Rank" real,
"Athletes" text,
"Country" text,
"Time" text,
"Notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the rank of Israel?
| SELECT MAX("Rank") FROM table_65026 WHERE "Country" = 'israel' | wikisql |
CREATE TABLE table_name_53 (
opponent VARCHAR,
location_attendance VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the opponent when they played at the Skydome?
| SELECT opponent FROM table_name_53 WHERE location_attendance = "skydome" | sql_create_context |
CREATE TABLE table_name_27 (
player VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- With a score of 70, this player's name is listed as what?
| SELECT player FROM table_name_27 WHERE score = 70 | sql_create_context |
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- the number of patients in careunit micu in the last year?
| SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.careunit = 'micu' AND DATETIME(transfers.intime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) | 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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- find the number of patients born before 2156 who had endoscopic retrograde cholangiography.
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2156" AND procedures.short_title = "Endosc retro cholangiopa" | mimicsql_data |
CREATE TABLE table_67579 (
"Status" text,
"Name" text,
"First Performance" text,
"Last Performance" text,
"Style" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what last performance has past status, ballet as style and tommy batchelor?
| SELECT "Last Performance" FROM table_67579 WHERE "Status" = 'past' AND "Style" = 'ballet' AND "Name" = 'tommy batchelor' | wikisql |
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many days have passed since patient 016-9636 received his first -monos lab test on the current hospital visit?
| SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', lab.labresulttime)) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-9636' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = '-monos' ORDER BY lab.labresulttime LIMIT 1 | eicu |
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- getting post data for inverted index.
| SELECT Id, PostTypeId, Tags, ClosedDate, CreationDate FROM Posts WHERE CreationDate LIKE '%2018%' | sede |
CREATE TABLE table_58693 (
"Position" real,
"Team" text,
"Played" real,
"Drawn" real,
"Lost" real,
"Goals For" real,
"Goals Against" real,
"Goal Difference" text,
"Points 1" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the lowest lost has 111 as the goals against?
| SELECT MIN("Lost") FROM table_58693 WHERE "Goals Against" = '111' | wikisql |
CREATE TABLE table_11545282_19 (
no INTEGER,
school_club_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the number of school/club teams held by BYU?
| SELECT MIN(no) FROM table_11545282_19 WHERE school_club_team = "BYU" | sql_create_context |
CREATE TABLE table_2468961_2 (
title VARCHAR,
written_by VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the episode written by Ross Brown?
| SELECT title FROM table_2468961_2 WHERE written_by = "Ross Brown" | sql_create_context |
CREATE TABLE table_name_25 (
label VARCHAR,
media VARCHAR,
release_date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the label for a CD released in 2004?
| SELECT label FROM table_name_25 WHERE media = "cd" AND release_date = 2004 | sql_create_context |
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- i want to fly from DENVER to SAN FRANCISCO
| 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 = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | atis |
CREATE TABLE table_53254 (
"Player" text,
"Nationality" text,
"Position" text,
"Years for Jazz" text,
"School/Club Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What school does John Crotty play for?
| SELECT "School/Club Team" FROM table_53254 WHERE "Player" = 'john crotty' | wikisql |
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE 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 labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many days have pass since the last time patient 31854 stayed in careunit ccu during the current hospital visit?
| SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31854 AND admissions.dischtime IS NULL) AND transfers.careunit = 'ccu' ORDER BY transfers.intime DESC LIMIT 1 | mimic_iii |
CREATE TABLE table_204_867 (
id number,
"number" number,
"date" text,
"name" text,
"age\n(at execution)" number,
"age\n(at offense)" number,
"race" text,
"state" text,
"method" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who was the next consecutive woman to be executed after lynda lyon block ?
| SELECT "name" FROM table_204_867 WHERE "number" = (SELECT "number" FROM table_204_867 WHERE "name" = 'lynda lyon block') + 1 | squall |
CREATE TABLE table_10968 (
"Race" text,
"Circuit" text,
"Date" text,
"Pole position" text,
"Fastest lap" text,
"Winning driver" text,
"Constructor" text,
"Tyre" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tell me the fastest lapf or jim clark being the winning driver for prince george
| SELECT "Fastest lap" FROM table_10968 WHERE "Winning driver" = 'jim clark' AND "Circuit" = 'prince george' | wikisql |
CREATE TABLE table_7114 (
"Year" real,
"Conventional plans" text,
"HMOs" text,
"PPOs" text,
"POS plans" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which HMO has a conventional plan of 3% in 2005?
| SELECT "HMOs" FROM table_7114 WHERE "Conventional plans" = '3%' AND "Year" = '2005' | wikisql |
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE 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 vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
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 TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- number of times patient 016-26884 was prescribed insulin aspart 100 unit/ml sc soln since 2102.
| SELECT COUNT(*) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-26884')) AND medication.drugname = 'insulin aspart 100 unit/ml sc soln' AND STRFTIME('%y', medication.drugstarttime) >= '2102' | eicu |
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,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For all employees who have the letters D or S in their first name, draw a line chart about the change of commission_pct over hire_date , and list in descending by the x-axis please.
| SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE DESC | nvbench |
CREATE TABLE protein (
common_name text,
protein_name text,
divergence_from_human_lineage real,
accession_number text,
sequence_length real,
sequence_identity_to_human_protein text,
Institution_id text
)
CREATE TABLE building (
building_id text,
Name text,
Street_address text,
Years_as_tallest text,
Height_feet int,
Floors int
)
CREATE TABLE Institution (
Institution_id text,
Institution text,
Location text,
Founded real,
Type text,
Enrollment int,
Team text,
Primary_Conference text,
building_id text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Please give me a bar chart showing institution types, along with the total enrollment for each type, and show Y-axis from low to high order.
| SELECT Type, SUM(Enrollment) FROM Institution GROUP BY Type ORDER BY SUM(Enrollment) | nvbench |
CREATE TABLE table_name_22 (
attendance INTEGER,
date VARCHAR,
week VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- before week 12 what was the attendance on 1983-11-21?
| SELECT SUM(attendance) FROM table_name_22 WHERE date = "1983-11-21" AND week < 12 | sql_create_context |
CREATE TABLE table_10062 (
"Railway" text,
"Builder" text,
"Built" text,
"Wheels" text,
"Location" text,
"ObjectNumber" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which railway was built in 1920?
| SELECT "Railway" FROM table_10062 WHERE "Built" = '1920' | wikisql |
CREATE TABLE table_name_42 (
level INTEGER,
example_name VARCHAR,
number_of_hus__approximate_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the mean level number when the example name is lower snake and the approximate number is hus is less than 370?
| SELECT AVG(level) FROM table_name_42 WHERE example_name = "lower snake" AND number_of_hus__approximate_ < 370 | sql_create_context |
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
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 number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Posts with given word in some of the past revision but not in the current one.
| SELECT DISTINCT p.Id AS "post_link", p.OwnerUserId AS "user_link", p.LastActivityDate, p.CreationDate, url = 'site://posts/' + CAST(p.Id AS TEXT) + '/revisions' FROM Posts AS p JOIN PostHistory AS ph ON (ph.PostId = p.Id) WHERE (ph.Text LIKE '%##word?Chebychev##%') AND NOT (p.Body LIKE '%##word##%') ORDER BY p.LastActivityDate DESC LIMIT 100 | sede |
CREATE TABLE table_73154 (
"#" real,
"Episode" text,
"UK air date" text,
"Timeslot" text,
"Viewers (millions)" text,
"Audience share in timeslot" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- name the total number of timeslot for number 1
| SELECT COUNT("Timeslot") FROM table_73154 WHERE "#" = '1' | wikisql |
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
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 transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what were the marital status of patient 40967 in their last hospital visit?
| SELECT admissions.marital_status FROM admissions WHERE admissions.subject_id = 40967 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1 | mimic_iii |
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
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 number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what were the three most commonly given procedures for patients who had previously received a oxygen therapy (> 60%) - face mask within the same month, since 6 years ago?
| SELECT t3.treatmentname FROM (SELECT t2.treatmentname, 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 = 'oxygen therapy (> 60%) - face mask' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-6 year')) AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmentname, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-6 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.treatmenttime AND DATETIME(t1.treatmenttime, 'start of month') = DATETIME(t2.treatmenttime, 'start of month') GROUP BY t2.treatmentname) AS t3 WHERE t3.c1 <= 3 | eicu |
CREATE TABLE table_12338595_1 (
swimsuit VARCHAR,
state VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What swimsuit score did the state of Virginia contestant achieve?
| SELECT COUNT(swimsuit) FROM table_12338595_1 WHERE state = "Virginia" | sql_create_context |
CREATE TABLE table_23802 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the number for dl
| SELECT "Pick #" FROM table_23802 WHERE "Position" = 'DL' | wikisql |
CREATE TABLE table_17086 (
"Player" text,
"Position" text,
"School" text,
"Hometown" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What position is Charone Peake?
| SELECT "Position" FROM table_17086 WHERE "Player" = 'Charone Peake' | wikisql |
CREATE TABLE table_10190 (
"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.
-- If the away teams score was 15.6 (96), what venue did they play at?
| SELECT "Venue" FROM table_10190 WHERE "Away team score" = '15.6 (96)' | wikisql |
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
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 vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- in 06/last year, how much did patient 006-50368 weigh for the last time?
| SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-50368') AND NOT patient.admissionweight IS NULL AND DATETIME(patient.unitadmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', patient.unitadmittime) = '06' ORDER BY patient.unitadmittime DESC LIMIT 1 | eicu |
CREATE TABLE table_44049 (
"Class" text,
"Wheel arrangement" text,
"Manufacturer" text,
"Year made" text,
"Quantity made" text,
"Quantity preserved" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Wheel Arrangement, when Manufacturer is 'Baldwin', and when Quantity Made is 12?
| SELECT "Wheel arrangement" FROM table_44049 WHERE "Manufacturer" = 'baldwin' AND "Quantity made" = '12' | wikisql |
CREATE TABLE table_name_5 (
meet VARCHAR,
time VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Meet has a Time of 1:04.84?
| SELECT meet FROM table_name_5 WHERE time = "1:04.84" | sql_create_context |
CREATE TABLE table_71674 (
"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.
-- What is Team 1 Al-Hilal's Agg.?
| SELECT "Agg." FROM table_71674 WHERE "Team 1" = 'al-hilal' | wikisql |
CREATE TABLE table_21321804_1 (
pick__number INTEGER,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the pick # for player wes lysack?
| SELECT MAX(pick__number) FROM table_21321804_1 WHERE player = "Wes Lysack" | sql_create_context |
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