instruction
stringlengths 151
7.46k
| output
stringlengths 2
4.44k
| source
stringclasses 26
values |
|---|---|---|
CREATE TABLE table_204_986 (
id number,
"#" number,
"event year" number,
"season" text,
"flag bearer" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the total number of years ele opeloge was the samoa flag bearer at the olympics ?
| SELECT COUNT("event year") FROM table_204_986 WHERE "flag bearer" = 'ele opeloge' | squall |
CREATE TABLE table_74583 (
"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 average crowd size when Collingwood is the away team?
| SELECT AVG("Crowd") FROM table_74583 WHERE "Away team" = 'collingwood' | wikisql |
CREATE TABLE table_61815 (
"Opposing Teams" text,
"Against" real,
"Date" text,
"Venue" text,
"Status" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the smallest Against with a Date of 18/02/1989?
| SELECT MIN("Against") FROM table_61815 WHERE "Date" = '18/02/1989' | wikisql |
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name 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 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 diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures_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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what are the top three most common diagnoses of people in 60 or above until 2104?
| SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age >= 60) AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104' GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 3) | mimic_iii |
CREATE TABLE table_53052 (
"Code" real,
"Type" text,
"Name" text,
"Area (km 2 )" real,
"Population" real,
"Regional County Municipality" text,
"Region" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest region number with a 499 population?
| SELECT MAX("Region") FROM table_53052 WHERE "Population" = '499' | wikisql |
CREATE TABLE table_16782 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"U.S. viewers (millions)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many titles were directed in series 79?
| SELECT COUNT("Directed by") FROM table_16782 WHERE "No. in series" = '79' | wikisql |
CREATE TABLE table_11874 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In what venue was the 1978 FIFA world cup qualification played in?
| SELECT "Venue" FROM table_11874 WHERE "Competition" = '1978 fifa world cup qualification' | wikisql |
CREATE TABLE products (
product_id number,
product_name text,
product_details text
)
CREATE TABLE shipment_items (
shipment_id number,
order_item_id number
)
CREATE TABLE order_items (
order_item_id number,
product_id number,
order_id number,
order_item_status text,
order_item_details text
)
CREATE TABLE invoices (
invoice_number number,
invoice_date time,
invoice_details text
)
CREATE TABLE shipments (
shipment_id number,
order_id number,
invoice_number number,
shipment_tracking_number text,
shipment_date time,
other_shipment_details text
)
CREATE TABLE customers (
customer_id number,
customer_name text,
customer_details text
)
CREATE TABLE orders (
order_id number,
customer_id number,
order_status text,
date_order_placed time,
order_details text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the id of the order whose shipment tracking number is '3452'.
| SELECT order_id FROM shipments WHERE shipment_tracking_number = "3452" | spider |
CREATE TABLE table_204_532 (
id number,
"season" text,
"tier" number,
"division" text,
"place" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- where did they place the last season ?
| SELECT "place" FROM table_204_532 ORDER BY "season" DESC LIMIT 1 | squall |
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is discharge location and discharge time of subject name thomas nazario?
| SELECT demographic.discharge_location, demographic.dischtime FROM demographic WHERE demographic.name = "Thomas Nazario" | mimicsql_data |
CREATE TABLE table_name_88 (
founded INTEGER,
joined INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the average founded with joined less than 2008
| SELECT AVG(founded) FROM table_name_88 WHERE joined < 2008 | sql_create_context |
CREATE TABLE table_name_82 (
ihsaa_class VARCHAR,
_number___county VARCHAR,
mascot VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the IHSAA class with county 18 delaware and tigers mascot
| SELECT ihsaa_class FROM table_name_82 WHERE _number___county = "18 delaware" AND mascot = "tigers" | sql_create_context |
CREATE TABLE table_204_438 (
id number,
"year" number,
"title" text,
"album" text,
"us r&b" number,
"us pop" number,
"us dance" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the difference in r & b ranking between come go with me and dance 4 me . ?
| SELECT ABS((SELECT "us r&b" FROM table_204_438 WHERE "title" = '"come go with me"') - (SELECT "us r&b" FROM table_204_438 WHERE "title" = '"dance 4 me"')) | squall |
CREATE TABLE table_name_45 (
country VARCHAR,
previous_team__league_ VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Country, when Previous Team (League) is 'Kingston Frontenacs ( OHL )', and when Player is 'Anthony Stewart Category:Articles with hCards'?
| SELECT country FROM table_name_45 WHERE previous_team__league_ = "kingston frontenacs ( ohl )" AND player = "anthony stewart category:articles with hcards" | sql_create_context |
CREATE TABLE table_41629 (
"Name" text,
"Career" text,
"Goals" real,
"Appearances" real,
"Goals/Game Ratio" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which goals/game ratio has fewer than 201 goals and fewer than 170 appearances?
| SELECT "Goals/Game Ratio" FROM table_41629 WHERE "Goals" < '201' AND "Appearances" < '170' | wikisql |
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.
-- My suggested edit votes that got overruled. Provides links to the suggested edits that you voted on, where the outcome went against your vote.
| SELECT edit.PostId, edit.Id AS "suggested_edit_link" FROM SuggestedEditVotes AS vote, SuggestedEdits AS edit WHERE vote.UserId = @UserId AND vote.SuggestedEditId = edit.Id AND (NOT edit.ApprovalDate IS NULL AND vote.VoteTypeId = 3 OR NOT edit.RejectionDate IS NULL AND vote.VoteTypeId = 2) | sede |
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 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who do not work in departments with managers that have ids between 100 and 200, return a line chart about the change of salary over hire_date , could you sort by the x axis in asc please?
| SELECT HIRE_DATE, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY HIRE_DATE | nvbench |
CREATE TABLE table_2328113_1 (
population__2011_ INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the minimum population in 2011?
| SELECT MIN(population__2011_) FROM table_2328113_1 | sql_create_context |
CREATE TABLE music_festival (
Date_of_ceremony VARCHAR,
Category VARCHAR,
RESULT VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the date of ceremony of music festivals with category 'Best Song' and result 'Awarded'?
| SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded" | sql_create_context |
CREATE TABLE table_59980 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Country of the Player in Place 1?
| SELECT "Country" FROM table_59980 WHERE "Place" = '1' | wikisql |
CREATE TABLE PostTypes (
Id number,
Name text
)
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 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 ReviewTaskStates (
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 PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment 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 Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId 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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description 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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- users by location (stack overflow).
| SELECT u.Id, u.DisplayName, u.Reputation, u.WebsiteUrl, u.Age, u.LastAccessDate, u.Location FROM Users AS u WHERE (LOWER(u.Location) LIKE LOWER('##Location:string##')) OR (LOWER(u.Location) LIKE LOWER('##AltLocation:string##')) OR (LOWER(u.Location) LIKE LOWER('##AltLocation2:string##')) ORDER BY u.Reputation DESC LIMIT 100 | sede |
CREATE TABLE table_41301 (
"Date" text,
"Tournament" text,
"Surface" text,
"Partnering" text,
"Opponent in the final" text,
"Score" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which tournament was played on 12 February 2001?
| SELECT "Tournament" FROM table_41301 WHERE "Date" = '12 february 2001' | wikisql |
CREATE TABLE table_56788 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Leading scorer" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the leading scorer when they were at home of the Clippers?
| SELECT "Leading scorer" FROM table_56788 WHERE "Home" = 'clippers' | wikisql |
CREATE TABLE table_name_10 (
prize VARCHAR,
event VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Prize, when the Event is Ept Deauville?
| SELECT prize FROM table_name_10 WHERE event = "ept deauville" | sql_create_context |
CREATE TABLE table_34022 (
"Rank" text,
"City" text,
"Population" real,
"Area (km 2 )" real,
"Density (inhabitants/km 2 )" real,
"Altitude (mslm)" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest density of alessandria where the area is bigger than 16.02 and altitude is less than 116?
| SELECT MIN("Density (inhabitants/km 2 )") FROM table_34022 WHERE "Area (km 2 )" > '16.02' AND "Altitude (mslm)" < '116' AND "City" = 'alessandria' | wikisql |
CREATE TABLE table_name_65 (
surface VARCHAR,
round VARCHAR,
edition VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the surface when the round is gii play-offs and the edition is 2009 fed cup europe/africa group ii?
| SELECT surface FROM table_name_65 WHERE round = "gii play-offs" AND edition = "2009 fed cup europe/africa group ii" | sql_create_context |
CREATE TABLE table_name_35 (
laps VARCHAR,
grid VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many laps were there for a grid of 13?
| SELECT COUNT(laps) FROM table_name_35 WHERE grid = 13 | sql_create_context |
CREATE TABLE table_3381 (
"Episode #" real,
"The W\u00f8rd" text,
"Guest" text,
"Introductory phrase" text,
"Original airdate" text,
"Production code" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the number of 'The Word' segments for episode number 727?
| SELECT COUNT("The W\u00f8rd") FROM table_3381 WHERE "Episode #" = '727' | wikisql |
CREATE TABLE table_203_695 (
id number,
"draw" number,
"artist" text,
"song" text,
"points" number,
"place" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which was the only song to earn less than 60 points ?
| SELECT "song" FROM table_203_695 WHERE "points" < 60 | squall |
CREATE TABLE county (
County_Id int,
County_name text,
Population real,
Zip_code text
)
CREATE TABLE party (
Party_ID int,
Year real,
Party text,
Governor text,
Lieutenant_Governor text,
Comptroller text,
Attorney_General text,
US_Senate text
)
CREATE TABLE election (
Election_ID int,
Counties_Represented text,
District int,
Delegate text,
Party int,
First_Elected real,
Committee text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who were the comptrollers of the parties associated with the delegates from district 1 or district 2, and count them by a bar chart, and show in desc by the Y.
| SELECT Comptroller, COUNT(Comptroller) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2 GROUP BY Comptroller ORDER BY COUNT(Comptroller) DESC | nvbench |
CREATE TABLE t_kc24 (
MED_SAFE_PAY_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
REF_SLT_FLG number,
CLINIC_SLT_DATE time,
COMP_ID text,
PERSON_ID text,
FLX_MED_ORG_ID text,
INSU_TYPE text,
MED_AMOUT number,
PER_ACC_PAY number,
OVE_PAY number,
ILL_PAY number,
CIVIL_SUBSIDY number,
PER_SOL number,
PER_EXP number,
DATA_ID text,
SYNC_TIME time,
OUT_HOSP_DATE time,
CLINIC_ID text,
MED_TYPE number,
INSURED_STS text,
INSURED_IDENTITY number,
TRADE_TYPE number,
RECIPE_BILL_ID text,
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
RECEIVER_DEAL_ID text,
SENDER_REVOKE_ID text,
RECEIVER_REVOKE_ID text,
SENDER_OFFSET_ID text,
RECEIVER_OFFSET_ID text,
LAS_OVE_PAY number,
OVE_ADD_PAY number,
SUP_ADD_PAY number,
CKC102 number,
CASH_PAY number,
COM_ACC_PAY number,
ENT_ACC_PAY number,
ENT_PAY number,
COM_PAY number,
OLDC_FUND_PAY number,
SPE_FUND_PAY number
)
CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG number,
FLX_MED_ORG_ID text,
MED_SER_ORG_NO text,
CLINIC_TYPE text,
MED_TYPE number,
CLINIC_ID text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
INPT_AREA_BED text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
MAIN_COND_DES text,
INSU_TYPE text,
IN_HOSP_DAYS number,
MED_AMOUT number,
FERTILITY_STS number,
DATA_ID text,
SYNC_TIME time,
REIMBURSEMENT_FLG number,
HOSP_LEV number,
HOSP_STS number,
INSURED_IDENTITY number,
SERVANT_FLG text,
TRADE_TYPE number,
INSURED_STS text,
REMOTE_SETTLE_FLG text
)
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,
VAL_UNIT text,
DOSE_UNIT text,
DOSE_FORM text,
SPEC text,
USE_FRE text,
EACH_DOSAGE text,
QTY number,
UNIVALENT number,
AMOUNT number,
SELF_PAY_PRO number,
RER_SOL number,
SELF_PAY_AMO number,
UP_LIMIT_AMO number,
OVE_SELF_AMO number,
EXP_OCC_DATE time,
RECIPE_BILL_ID text,
FLX_MED_ORG_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
REF_STA_FLG number,
DATA_ID text,
SYNC_TIME time,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
TRADE_TYPE number,
STA_FLG number,
STA_DATE time,
REIMBURS_TYPE number,
FXBZ number,
REMOTE_SETTLE_FLG text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 医疗记录中年龄高于20岁的患者的医疗费平均金额是多少
| SELECT AVG(MED_AMOUT) FROM t_kc24 WHERE MED_CLINIC_ID IN (SELECT MED_CLINIC_ID FROM t_kc21 WHERE PERSON_AGE >= 20) | css |
CREATE TABLE furniture (
name VARCHAR,
furniture_id VARCHAR,
market_rate VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Return the name and id of the furniture with the highest market rate.
| SELECT name, furniture_id FROM furniture ORDER BY market_rate DESC LIMIT 1 | sql_create_context |
CREATE TABLE table_31015 (
"Team" text,
"Contest and round" text,
"Opponent" text,
"1st leg score*" text,
"2nd leg score**" text,
"Aggregate score" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the name of the team opponent to elfsborg
| SELECT "Team" FROM table_31015 WHERE "Opponent" = 'Elfsborg' | wikisql |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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 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.
-- what number of patients admitted before the year 2110 were diagnosed with cholelith/ac gb inf-obst?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2110" AND diagnoses.short_title = "Cholelith/ac gb inf-obst" | mimicsql_data |
CREATE TABLE table_name_46 (
country VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the country for pieroni
| SELECT country FROM table_name_46 WHERE name = "pieroni" | sql_create_context |
CREATE TABLE table_69027 (
"Appearances" real,
"Team" text,
"Wins" real,
"Losses" real,
"Winning percentage" real,
"Season(s)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In 2009, what Appearances had a Winning Percentage of less than 0?
| SELECT AVG("Appearances") FROM table_69027 WHERE "Season(s)" = '2009' AND "Winning percentage" < '0' | wikisql |
CREATE TABLE table_9807 (
"Rank" real,
"Title" text,
"Studio" text,
"Director" text,
"Worldwide Gross" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What studio is director Reginald Hudlin from?
| SELECT "Studio" FROM table_9807 WHERE "Director" = 'reginald hudlin' | wikisql |
CREATE TABLE table_44094 (
"Usage" text,
"Class" text,
"Performance" text,
"Performance test" text,
"Particulate size approaching 100% retention" text,
"Test Standard" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Test Standard has a Usage of secondary filters, and a Class of f5? Question 4
| SELECT "Test Standard" FROM table_44094 WHERE "Usage" = 'secondary filters' AND "Class" = 'f5' | wikisql |
CREATE TABLE table_name_38 (
year_started INTEGER,
current_car VARCHAR,
number_of_cars VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Year started is the highest one that has a Current car of arctic sun, and a Number of cars smaller than 1?
| SELECT MAX(year_started) FROM table_name_38 WHERE current_car = "arctic sun" AND number_of_cars < 1 | sql_create_context |
CREATE TABLE flight (
id int,
Vehicle_Flight_number text,
Date text,
Pilot text,
Velocity real,
Altitude real,
airport_id int,
company_id int
)
CREATE TABLE operate_company (
id int,
name text,
Type text,
Principal_activities text,
Incorporated_in text,
Group_Equity_Shareholding real
)
CREATE TABLE airport (
id int,
City text,
Country text,
IATA text,
ICAO text,
name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many companies that have ever operated a flight for each type? Draw a bar chart, I want to rank from low to high by the x axis.
| SELECT Type, COUNT(Type) FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id GROUP BY Type ORDER BY Type | nvbench |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
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.
-- When did the patient Paul Edwards die?
| SELECT demographic.dod FROM demographic WHERE demographic.name = "Paul Edwards" | mimicsql_data |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location 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
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many hispanic or latino patients were aged below 20 years?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND demographic.age < "20" | mimicsql_data |
CREATE TABLE table_65835 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many Gold medals for the Nations with 6 or more Bronze medals and 18 or more Silver?
| SELECT AVG("Gold") FROM table_65835 WHERE "Bronze" > '6' AND "Silver" > '18' | wikisql |
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
)
CREATE TABLE fgwyjzb (
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 number,
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,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD 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 gwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
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 number,
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,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 按照科室名和入院诊断病名的差异算出医院9841208所有的记录里病人的平均岁数
| SELECT gwyjzb.MED_ORG_DEPT_NM, gwyjzb.IN_DIAG_DIS_NM, AVG(gwyjzb.PERSON_AGE) FROM gwyjzb WHERE gwyjzb.MED_SER_ORG_NO = '9841208' GROUP BY gwyjzb.MED_ORG_DEPT_NM, gwyjzb.IN_DIAG_DIS_NM UNION SELECT fgwyjzb.MED_ORG_DEPT_NM, fgwyjzb.IN_DIAG_DIS_NM, AVG(fgwyjzb.PERSON_AGE) FROM fgwyjzb WHERE fgwyjzb.MED_SER_ORG_NO = '9841208' GROUP BY fgwyjzb.MED_ORG_DEPT_NM, fgwyjzb.IN_DIAG_DIS_NM | css |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob 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
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- tell me the birth date and marital status of patient jerry deberry.
| SELECT demographic.marital_status, demographic.dob FROM demographic WHERE demographic.name = "Jerry Deberry" | mimicsql_data |
CREATE TABLE table_60255 (
"Opposing Teams" text,
"Against" real,
"Date" text,
"Venue" text,
"Status" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest number against on 12/04/1969?
| SELECT MAX("Against") FROM table_60255 WHERE "Date" = '12/04/1969' | 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 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose primary disease is upper gi bleed and procedure icd9 code is 66?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "UPPER GI BLEED" AND procedures.icd9_code = "66" | mimicsql_data |
CREATE TABLE table_21058823_1 (
result VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What did they do in the game when their record was 3-2-1?
| SELECT result FROM table_21058823_1 WHERE record = "3-2-1" | sql_create_context |
CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
)
CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
)
CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For all storms with at least 1 death, compare the total number of deaths by dates_active attribute.
| SELECT Dates_active, Number_Deaths FROM storm WHERE Number_Deaths >= 1 | nvbench |
CREATE TABLE table_name_92 (
score VARCHAR,
visitor VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score of the Boston Bruins away game on March 13?
| SELECT score FROM table_name_92 WHERE visitor = "boston bruins" AND date = "march 13" | sql_create_context |
CREATE TABLE table_56443 (
"Rank" real,
"Movie" text,
"Year" real,
"Studio(s)" text,
"Opening Day Net Gross" real,
"Day of Week" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average rank of the Reliance Entertainment movie with an opening day on Wednesday before 2012?
| SELECT AVG("Rank") FROM table_56443 WHERE "Day of Week" = 'wednesday' AND "Year" < '2012' AND "Studio(s)" = 'reliance entertainment' | wikisql |
CREATE TABLE table_name_79 (
swimsuit INTEGER,
average VARCHAR,
interview VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of Swimsuit scores where the average score is 9.733 and the interview score is higher than 9.654?
| SELECT SUM(swimsuit) FROM table_name_79 WHERE average = 9.733 AND interview > 9.654 | sql_create_context |
CREATE TABLE table_name_44 (
cuts_made VARCHAR,
events VARCHAR,
top_25 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total number of cuts made for events played more than 3 times and under 2 top-25s?
| SELECT COUNT(cuts_made) FROM table_name_44 WHERE events > 3 AND top_25 < 2 | sql_create_context |
CREATE TABLE table_52963 (
"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.
-- Which away team scored 10.14 (74)?
| SELECT "Away team" FROM table_52963 WHERE "Away team score" = '10.14 (74)' | wikisql |
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 PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description 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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name 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 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 PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
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 VoteTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Most popular tags during a time period.
| SELECT num.TagName AS Tag, ROW_NUMBER() OVER (ORDER BY rate.Rate DESC) AS PeriodRank, ROW_NUMBER() OVER (ORDER BY num.Num DESC) AS TotalRank, rate.Rate AS Questions, num.Num AS QuestionsTotal FROM (SELECT COUNT(PostId) AS Rate, TagName FROM Tags, PostTags, Posts WHERE Tags.Id = PostTags.TagId AND Posts.Id = PostId AND Posts.CreationDate > '##fromdate?2020-01-01##' AND Posts.CreationDate < '##todate?2020-01-01##' GROUP BY TagName) AS rate INNER JOIN (SELECT COUNT(PostId) AS Num, TagName FROM Tags, PostTags, Posts WHERE Tags.Id = PostTags.TagId AND Posts.Id = PostId GROUP BY TagName) AS num ON rate.TagName = num.TagName ORDER BY rate.rate DESC | sede |
CREATE TABLE table_1473672_4 (
college_junior_club_team VARCHAR,
pick__number VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the college/junior club team for pick number 63
| SELECT college_junior_club_team FROM table_1473672_4 WHERE pick__number = 63 | sql_create_context |
CREATE TABLE table_name_27 (
byes INTEGER,
draws INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many byes were there recorded with 0 draws?
| SELECT SUM(byes) FROM table_name_27 WHERE draws < 0 | sql_create_context |
CREATE TABLE table_name_5 (
region VARCHAR,
catalog VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Region, when the Catalog is SM 2965-05?
| SELECT region FROM table_name_5 WHERE catalog = "sm 2965-05" | sql_create_context |
CREATE TABLE table_57591 (
"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.
-- What is the Tyre when Jerry Hoyt was the pole position?
| SELECT "Tyre" FROM table_57591 WHERE "Pole position" = 'jerry hoyt' | wikisql |
CREATE TABLE submission (
Submission_ID int,
Scores real,
Author text,
College text
)
CREATE TABLE workshop (
Workshop_ID int,
Date text,
Venue text,
Name text
)
CREATE TABLE Acceptance (
Submission_ID int,
Workshop_ID int,
Result text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Visualize a bar chart for how many workshops did each author submit to? Return the author name and the number of workshops, display names from low to high order.
| SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY Author | nvbench |
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 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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose admission type is urgent and diagnoses icd9 code is 7596?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.icd9_code = "7596" | mimicsql_data |
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 procedures_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 d_items (
row_id number,
itemid number,
label text,
linksto 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 diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label 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 outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod 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 microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients diagnosed with ami nos, initial in the same hospital encounter after they have been diagnosed with brain lacer nec-coma nos since 2105.
| SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'ami nos, initial') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105') AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'brain lacer nec-coma nos') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id | mimic_iii |
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 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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is admission type and death status of subject id 10317?
| SELECT demographic.admission_type, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "10317" | mimicsql_data |
CREATE TABLE table_20799905_1 (
obama_percentage VARCHAR,
county VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What percentage did Obama get in Rutherford county?
| SELECT obama_percentage FROM table_20799905_1 WHERE county = "RUTHERFORD" | sql_create_context |
CREATE TABLE jyjgzbb (
JYZBLSH text,
YLJGDM text,
BGDH text,
BGRQ time,
JYRQ time,
JCRGH text,
JCRXM text,
SHRGH text,
SHRXM text,
JCXMMC text,
JCZBDM text,
JCFF text,
JCZBMC text,
JCZBJGDX text,
JCZBJGDL number,
JCZBJGDW text,
SBBM text,
YQBH text,
YQMC text,
CKZFWDX text,
CKZFWXX number,
CKZFWSX number,
JLDW text
)
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE mzjzjlb (
YLJGDM text,
JZLSH text,
KH text,
KLX number,
MJZH text,
HZXM text,
NLS number,
NLY number,
ZSEBZ number,
JZZTDM number,
JZZTMC text,
JZJSSJ time,
TXBZ number,
ZZBZ number,
WDBZ number,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
ZZYSGH text,
QTJZYSGH text,
JZZDBM text,
JZZDSM text,
MZZYZDZZBM text,
MZZYZDZZMC text,
SG number,
TZ number,
TW number,
SSY number,
SZY number,
XL number,
HXPLC number,
ML number,
JLSJ time
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
JYKSBM text,
JYKSMC text,
BGJGDM text,
BGJGMC text,
SQRQ time,
CJRQ time,
JYRQ time,
BGSJ time,
BBDM text,
BBMC text,
JYBBH text,
BBZT number,
BBCJBW text,
JSBBSJ time,
JYXMMC text,
JYXMDM text,
JYSQJGMC text,
JYJGMC text,
JSBBRQSJ time,
JYJSQM text,
JYJSGH text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 从13年5月11日到2020年4月11日这段时间，列出患者杨丹红所有检验报告单的审核日期时间吗？
| (SELECT jybgb.SHSJ FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE person_info.XM = '杨丹红' AND jybgb.BGRQ BETWEEN '2013-05-11' AND '2020-04-11') UNION (SELECT jybgb.SHSJ FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB WHERE person_info.XM = '杨丹红' AND jybgb.BGRQ BETWEEN '2013-05-11' AND '2020-04-11') | css |
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_procedures (
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 procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
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 d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom 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 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 microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name 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 transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many times has patient 86791 had received insert gastric tube nec in a year before?
| SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'insert gastric tube nec') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 86791) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | mimic_iii |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
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 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.
-- give me the number of patients whose admission type is newborn and discharge location is disc-tran cancer/chldrn h?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H" | mimicsql_data |
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the total salary by each hire date of employees, and please bin the hire date into the day of week interval for showing a bar chart.
| SELECT HIRE_DATE, SUM(SALARY) FROM employees | nvbench |
CREATE TABLE table_train_191 (
"id" int,
"gender" string,
"hemoglobin_a1c_hba1c" float,
"diabetic" string,
"serum_creatinine" float,
"allergy_to_glyburide" bool,
"kidney_disease" bool,
"drug_abuse" bool,
"age" float,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- hba1c levels between 6 and 9.5 to be enrolled in the study.
| SELECT * FROM table_train_191 WHERE hemoglobin_a1c_hba1c >= 6 AND hemoglobin_a1c_hba1c <= 9.5 | criteria2sql |
CREATE TABLE captain (
Captain_ID int,
Name text,
Ship_ID int,
age text,
Class text,
Rank text
)
CREATE TABLE Ship (
Ship_ID int,
Name text,
Type text,
Built_Year real,
Class text,
Flag text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Stacked bar of class and the number of class colored by Rank, sort Y in descending order.
| SELECT Class, COUNT(Class) FROM captain GROUP BY Rank, Class ORDER BY COUNT(Class) DESC | nvbench |
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb_jybgb (
YLJGDM_ZYJZJLB text,
BGDH number,
YLJGDM number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 这张编号为68651052326的检验报告单其开出的科室编码以及名称都是啥？
| SELECT jybgb.KSBM, jybgb.KSMC FROM jybgb WHERE jybgb.BGDH = '68651052326' | css |
CREATE TABLE table_47781 (
"Date" text,
"Home" text,
"Score" text,
"Away" text,
"Attendance" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the home team with 3305 in attendance?
| SELECT "Home" FROM table_47781 WHERE "Attendance" = '3305' | wikisql |
CREATE TABLE table_77411 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Player, when Place is '1'?
| SELECT "Player" FROM table_77411 WHERE "Place" = '1' | wikisql |
CREATE TABLE election (
Election_ID int,
Counties_Represented text,
District int,
Delegate text,
Party int,
First_Elected real,
Committee text
)
CREATE TABLE party (
Party_ID int,
Year real,
Party text,
Governor text,
Lieutenant_Governor text,
Comptroller text,
Attorney_General text,
US_Senate text
)
CREATE TABLE county (
County_Id int,
County_name text,
Population real,
Zip_code text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me population by county name in a histogram, sort by the y-axis in desc please.
| SELECT County_name, Population FROM county ORDER BY Population DESC | nvbench |
CREATE TABLE table_35396 (
"Ranking" real,
"Nationality" text,
"Name" text,
"Position" text,
"Years" text,
"League" real,
"Europe" real,
"Others" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of the Europe totals for players with other appearances of 0, league appearances under 328, and a position of MF?
| SELECT SUM("Europe") FROM table_35396 WHERE "Others" = '0' AND "League" < '328' AND "Position" = 'mf' | wikisql |
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who did not have any job in the past, show me about the distribution of hire_date and the average of employee_id bin hire_date by weekday in a bar chart, and list in descending by the Y.
| SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(EMPLOYEE_ID) DESC | nvbench |
CREATE TABLE table_name_61 (
score VARCHAR,
home_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which score has a Home Team of saskatoon accelerators?
| SELECT score FROM table_name_61 WHERE home_team = "saskatoon accelerators" | sql_create_context |
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 PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description 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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name 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 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 PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
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 VoteTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Number of votes on answers and votes on questions per month - only non-CW.
| SELECT LAST_DATE_OF_MONTH(v.CreationDate), COUNT(v.Id) AS "total_upvotes", SUM(CASE WHEN p.PostTypeId = 1 THEN 1 ELSE 0 END) AS "question_upvotes", SUM(CASE WHEN p.PostTypeId = 2 THEN 1 ELSE 0 END) AS "answer_upvotes" FROM Posts AS p INNER JOIN Votes AS v ON v.PostId = p.Id WHERE v.VoteTypeId = 2 AND (p.CommunityOwnedDate IS NULL) GROUP BY LAST_DATE_OF_MONTH(v.CreationDate) ORDER BY LAST_DATE_OF_MONTH(v.CreationDate) | sede |
CREATE TABLE table_train_271 (
"id" int,
"renal_disease" bool,
"hepatic_disease" bool,
"smoking" bool,
"coronary_artery_disease_cad" bool,
"serum_creatinine" float,
"body_mass_index_bmi" float,
"myocardial_infarction" bool,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- coronary artery disease ( cad ) : documented by history of myocardial infarction
| SELECT * FROM table_train_271 WHERE coronary_artery_disease_cad = 1 OR myocardial_infarction = 1 | criteria2sql |
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,
t_kc21_CLINIC_ID text,
t_kc21_CLINIC_TYPE text,
t_kc21_COMP_ID text,
t_kc21_DATA_ID text,
t_kc21_DIFF_PLACE_FLG number,
t_kc21_FERTILITY_STS number,
t_kc21_FLX_MED_ORG_ID text,
t_kc21_HOSP_LEV number,
t_kc21_HOSP_STS number,
t_kc21_IDENTITY_CARD text,
t_kc21_INPT_AREA_BED text,
t_kc21_INSURED_IDENTITY number,
t_kc21_INSURED_STS text,
t_kc21_INSU_TYPE text,
t_kc21_IN_DIAG_DIS_CD text,
t_kc21_IN_DIAG_DIS_NM text,
t_kc21_IN_HOSP_DATE time,
t_kc21_IN_HOSP_DAYS number,
t_kc21_MAIN_COND_DES text,
t_kc21_MED_AMOUT number,
t_kc21_MED_ORG_DEPT_CD text,
t_kc21_MED_ORG_DEPT_NM text,
t_kc21_MED_SER_ORG_NO text,
t_kc21_MED_TYPE number,
t_kc21_OUT_DIAG_DIS_CD text,
t_kc21_OUT_DIAG_DIS_NM text,
t_kc21_OUT_DIAG_DOC_CD text,
t_kc21_OUT_DIAG_DOC_NM text,
t_kc21_OUT_HOSP_DATE time,
t_kc21_OVERALL_CD_ORG text,
t_kc21_OVERALL_CD_PERSON text,
t_kc21_PERSON_AGE number,
t_kc21_PERSON_ID text,
t_kc21_PERSON_NM text,
t_kc21_PERSON_SEX number,
t_kc21_REIMBURSEMENT_FLG number,
t_kc21_REMOTE_SETTLE_FLG text,
t_kc21_SERVANT_FLG text,
t_kc21_SOC_SRT_CARD text,
t_kc21_SYNC_TIME time,
t_kc21_TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 2020年5月1日到2020年11月26日，编号为3006208的医院的小儿肛肠外科科室涉及到多少医疗费
| SELECT SUM(t_kc24.MED_AMOUT) FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID IN (SELECT t_kc24.MED_CLINIC_ID FROM t_kc24 WHERE t_kc24.t_kc21_MED_SER_ORG_NO = '3006208' AND t_kc24.t_kc21_MED_ORG_DEPT_NM = '小儿肛肠外科') AND t_kc24.CLINIC_SLT_DATE BETWEEN '2020-05-01' AND '2020-11-26' | css |
CREATE TABLE ta (
campus_job_id int,
student_id int,
location 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 program (
program_id int,
name varchar,
college varchar,
introduction 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 offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
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 requirement (
requirement_id int,
requirement varchar,
college varchar
)
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 area (
course_id int,
area varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Last semester in CZECH 242 , who were the GSIs ?
| SELECT DISTINCT student.firstname, student.lastname FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN gsi ON gsi.course_offering_id = course_offering.offering_id INNER JOIN student ON student.student_id = gsi.student_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'CZECH' AND course.number = 242 AND semester.semester = 'FA' AND semester.year = 2015 | advising |
CREATE TABLE table_59943 (
"Tournament" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is 2012 when the tournament is cincinnati masters?
| SELECT "2012" FROM table_59943 WHERE "Tournament" = 'cincinnati masters' | wikisql |
CREATE TABLE table_46548 (
"Name" text,
"Date" text,
"Defending forces" text,
"Brigade" text,
"Population" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Defending forces when the population was 120?
| SELECT "Defending forces" FROM table_46548 WHERE "Population" = '120' | wikisql |
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_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD 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_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_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_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.
-- 依照科室不同以及出院诊断的疾病编号差别，查询一下医院9266257全部医疗就诊的记录里自费的部分与总医疗费的最小比值且按升序顺序来显示
| SELECT t_kc21.MED_ORG_DEPT_NM, t_kc21.OUT_DIAG_DIS_CD, MIN(t_kc24.PER_EXP) FROM t_kc21 JOIN t_kc24 JOIN t_kc21_t_kc24 ON t_kc21.MED_CLINIC_ID = t_kc21_t_kc24.MED_CLINIC_ID AND t_kc21_t_kc24.MED_SAFE_PAY_ID = t_kc24.MED_SAFE_PAY_ID WHERE t_kc21.MED_SER_ORG_NO = '9266257' GROUP BY t_kc21.MED_ORG_DEPT_NM, t_kc21.OUT_DIAG_DIS_CD ORDER BY MIN(t_kc24.PER_EXP / t_kc24.MED_AMOUT) | css |
CREATE TABLE table_26230 (
"No" real,
"Player" text,
"Height (m)" text,
"Height (f)" text,
"Position" text,
"Year born" real,
"Current Club" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Identify every player's height in meters if the player is exactly 6' 07' tall in feet
| SELECT "Height (m)" FROM table_26230 WHERE "Height (f)" = '6'' 07' | wikisql |
CREATE TABLE table_70437 (
"Name" text,
"Years" text,
"Gender" text,
"Area" text,
"Authority" text,
"Decile" real,
"Roll" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which school in Balclutha has a roll smaller than 55?
| SELECT "Name" FROM table_70437 WHERE "Area" = 'balclutha' AND "Roll" < '55' | wikisql |
CREATE TABLE table_202_231 (
id number,
"party" text,
"votes" number,
"%" number,
"seats" number,
"+/-" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which party finished last in the election ?
| SELECT "party" FROM table_202_231 ORDER BY "%" LIMIT 1 | squall |
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE fzzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZYSGH text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE zzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZYSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 在17年10月30日到18年12月8日期间，列出金宏茂患者所有检验结果指标记录中用的什么检测方法？
| SELECT jyjgzbb.JCFF FROM person_info JOIN hz_info JOIN zzmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zzmzjzjlb.YLJGDM AND hz_info.KH = zzmzjzjlb.KH AND hz_info.KLX = zzmzjzjlb.KLX AND zzmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND zzmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '金宏茂' AND jyjgzbb.JYRQ BETWEEN '2017-10-30' AND '2018-12-08' UNION SELECT jyjgzbb.JCFF FROM person_info JOIN hz_info JOIN fzzmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = fzzmzjzjlb.YLJGDM AND hz_info.KH = fzzmzjzjlb.KH AND hz_info.KLX = fzzmzjzjlb.KLX AND fzzmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND fzzmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '金宏茂' AND jyjgzbb.JYRQ BETWEEN '2017-10-30' AND '2018-12-08' UNION SELECT jyjgzbb.JCFF FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '金宏茂' AND jyjgzbb.JYRQ BETWEEN '2017-10-30' AND '2018-12-08' | css |
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_ZYJZJLB text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 号码是75590344936的住院患者开出的检验报告单是多少份？
| SELECT COUNT(*) FROM jybgb WHERE jybgb.JZLSH = '75590344936' | css |
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of founder and the sum of revenue , and group by attribute founder.
| SELECT Founder, SUM(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder | nvbench |
CREATE TABLE table_53777 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What driver has BRM as a constructor and had more than 30 laps?
| SELECT "Driver" FROM table_53777 WHERE "Constructor" = 'brm' AND "Laps" > '30' | wikisql |
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_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
)
CREATE TABLE t_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_ID number
)
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD 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_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 参保人序列号为31926697的患者住院期间花费了多少次整数金额？
| SELECT COUNT(*) FROM t_kc21 WHERE t_kc21.PERSON_ID = '31926697' AND t_kc21.CLINIC_TYPE = '住院' AND MOD(t_kc21.MED_AMOUT, 1) = 0 | css |
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE zyjzjlb_jybgb (
YLJGDM_ZYJZJLB text,
BGDH number,
YLJGDM number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 列出医院0629805接诊67921466这位患者住院期间的就诊记录里，出院科室名字包括化疗的所有记录
| SELECT * FROM hz_info JOIN zyjzjlb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX WHERE hz_info.RYBH = '67921466' AND hz_info.YLJGDM = '0629805' AND zyjzjlb.CYKSMC LIKE '%化疗%' | css |
CREATE TABLE table_name_67 (
conference_joined VARCHAR,
location VARCHAR,
mascot VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Can you tell me the Conference Joined that has the Location of terre haute, and the Mascot of golden bears?
| SELECT conference_joined FROM table_name_67 WHERE location = "terre haute" AND mascot = "golden bears" | sql_create_context |
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
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 airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE fare (
fare_id int,
from_airport 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 ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
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 days (
days_code varchar,
day_name varchar
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
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 time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE compartment_class (
compartment varchar,
class_type 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 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
)
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 food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- list the AS flights arriving in BURBANK
| SELECT DISTINCT flight.flight_id FROM airport_service, city, flight WHERE city.city_code = airport_service.city_code AND city.city_name = 'BURBANK' AND flight.airline_code = 'AS' AND flight.to_airport = airport_service.airport_code | atis |
CREATE TABLE table_49970 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" real,
"Money ( $ )" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many times is the country united states and the score 72-71-73-73=289?
| SELECT COUNT("To par") FROM table_49970 WHERE "Country" = 'united states' AND "Score" = '72-71-73-73=289' | wikisql |
CREATE TABLE table_name_86 (
score VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score when november 15 is the date?
| SELECT score FROM table_name_86 WHERE date = "november 15" | sql_create_context |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location 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
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose admission location is clinic referral/premature and age is less than 45?
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.age < "45" | mimicsql_data |
CREATE TABLE table_76736 (
"School" text,
"Locality" text,
"Ages" text,
"Capacity" real,
"Ofsted" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is heaton chapel's capacity?
| SELECT MAX("Capacity") FROM table_76736 WHERE "Locality" = 'heaton chapel' | wikisql |
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_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_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 cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label 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 d_icd_diagnoses (
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 d_items (
row_id number,
itemid number,
label text,
linksto text
)
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 procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- in this year, patient 49654 has made an admission?
| SELECT COUNT(*) > 0 FROM admissions WHERE admissions.subject_id = 49654 AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | mimic_iii |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.