instruction
stringlengths 151
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| output
stringlengths 2
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|---|---|---|
CREATE TABLE table_22291 (
"Departure" text,
"Going to" text,
"Calling at" text,
"Arrival" text,
"Operator" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the arrival time of the train that departed at 18.16?
|
SELECT "Arrival" FROM table_22291 WHERE "Departure" = '18.16'
|
wikisql
|
CREATE TABLE table_15927 (
"County" text,
"English name" text,
"Irish name" text,
"Population" real,
"Irish speakers" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the population for County Mayo with the English Name Carrowteige?
|
SELECT "Population" FROM table_15927 WHERE "County" = 'County Mayo' AND "English name" = 'Carrowteige'
|
wikisql
|
CREATE TABLE table_23248869_8 (
high_assists VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who had the high assists when the score was l 85 118 (ot)
|
SELECT high_assists FROM table_23248869_8 WHERE score = "L 85–118 (OT)"
|
sql_create_context
|
CREATE TABLE table_name_26 (
class VARCHAR,
part_4 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the class for Geholfen Gedroschen in part 4?
|
SELECT class FROM table_name_26 WHERE part_4 = "geholfen gedroschen"
|
sql_create_context
|
CREATE TABLE table_21256 (
"Year" real,
"Starts" real,
"Wins" real,
"Top 5" real,
"Top 10" real,
"Poles" real,
"Avg. Start" text,
"Avg. Finish" text,
"Winnings" text,
"Position" text,
"Team(s)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When the poles are 0 and the position is 14th, how much are the winnings?
|
SELECT "Winnings" FROM table_21256 WHERE "Poles" = '0' AND "Position" = '14th'
|
wikisql
|
CREATE TABLE table_67706 (
"Years" text,
"Coach" text,
"Seasons" real,
"Wins" real,
"Losses" real,
"Ties" text,
"Pct." text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the winning percent of Notre Dame in 1905?
|
SELECT "Pct." FROM table_67706 WHERE "Years" = '1905'
|
wikisql
|
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense 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 CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE 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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
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 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 VoteTypes (
Id number,
Name text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
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 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 ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- tags with than 10000 activity.
|
SELECT COUNT(p.Id) AS usage, TagName FROM Posts AS p INNER JOIN PostTags AS pt ON pt.PostId = p.Id INNER JOIN Tags AS t ON pt.TagId = t.Id GROUP BY TagName HAVING COUNT(p.Id) > 10000 ORDER BY usage DESC
|
sede
|
CREATE TABLE table_2383498_4 (
first_year_in_qld_cup VARCHAR,
home_ground VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is every value for first year in QLD Cup if home ground is Corbett Park, Crosby Park, Lang Park, ANZ Stadium?
|
SELECT first_year_in_qld_cup FROM table_2383498_4 WHERE home_ground = "Corbett Park, Crosby Park, Lang Park, ANZ Stadium"
|
sql_create_context
|
CREATE TABLE table_name_71 (
away_team VARCHAR,
venue VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the away team's score at windy hill?
|
SELECT away_team AS score FROM table_name_71 WHERE venue = "windy hill"
|
sql_create_context
|
CREATE TABLE table_45360 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" real,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Record, when Event is 'Independent Event', and when Method is 'Submission (Peruvian Necktie)'?
|
SELECT "Record" FROM table_45360 WHERE "Event" = 'independent event' AND "Method" = 'submission (peruvian necktie)'
|
wikisql
|
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 products with a price between 60 and 120, return a scatter chart about the correlation between code and price .
|
SELECT Code, Price FROM Products WHERE Price BETWEEN 60 AND 120
|
nvbench
|
CREATE TABLE table_name_39 (
country VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What country is Paul Lawrie from?
|
SELECT country FROM table_name_39 WHERE player = "paul lawrie"
|
sql_create_context
|
CREATE TABLE table_26564 (
"DVD Name" text,
"Ep #" text,
"Region 1 (US)" text,
"Region 1 (CAN)" text,
"Region 2 (UK)" text,
"Region 2 (Germany)" text,
"Region 4 (Australia)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the region 2 (UK) date associated with a region 4 (Aus) date of July 31, 2008?
|
SELECT "Region 2 (UK)" FROM table_26564 WHERE "Region 4 (Australia)" = 'July 31, 2008'
|
wikisql
|
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM 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 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 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 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 hz_info_zyjzjlb (
JZLSH number,
YLJGDM number,
zyjzjlb_id number
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
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,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
zyjzjlb_id number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 在2019-07-16之前，患者任斯伯有哪些住院就诊的检验报告单？看一下住院就诊的流水号
|
SELECT zyjzjlb.JZLSH FROM person_info JOIN hz_info JOIN zyjzjlb JOIN hz_info_zyjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = hz_info_zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND hz_info_zyjzjlb.JZLSH = zyjzjlb.JZLSH AND hz_info_zyjzjlb.YLJGDM = hz_info_zyjzjlb.YLJGDM AND hz_info_zyjzjlb.JZLSH = zyjzjlb.JZLSH AND hz_info_zyjzjlb.zyjzjlb_id = zyjzjlb.zyjzjlb_id WHERE person_info.XM = '任斯伯' AND NOT zyjzjlb.JZLSH IN (SELECT jybgb.JZLSH FROM jybgb WHERE jybgb.BGRQ >= '2019-07-16')
|
css
|
CREATE TABLE table_name_51 (
player VARCHAR,
country VARCHAR,
place VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which player from United States is in place of t6?
|
SELECT player FROM table_name_51 WHERE country = "united states" AND place = "t6"
|
sql_create_context
|
CREATE TABLE table_29752 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who had the high points in game is 81?
|
SELECT "High points" FROM table_29752 WHERE "Game" = '81'
|
wikisql
|
CREATE TABLE Ref_Hotel_Star_Ratings (
star_rating_code CHAR(15),
star_rating_description VARCHAR(80)
)
CREATE TABLE Street_Markets (
Market_ID INTEGER,
Market_Details VARCHAR(255)
)
CREATE TABLE Tourist_Attraction_Features (
Tourist_Attraction_ID INTEGER,
Feature_ID INTEGER
)
CREATE TABLE Locations (
Location_ID INTEGER,
Location_Name VARCHAR(255),
Address VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Museums (
Museum_ID INTEGER,
Museum_Details VARCHAR(255)
)
CREATE TABLE Visitors (
Tourist_ID INTEGER,
Tourist_Details VARCHAR(255)
)
CREATE TABLE Theme_Parks (
Theme_Park_ID INTEGER,
Theme_Park_Details VARCHAR(255)
)
CREATE TABLE Visits (
Visit_ID INTEGER,
Tourist_Attraction_ID INTEGER,
Tourist_ID INTEGER,
Visit_Date DATETIME,
Visit_Details VARCHAR(40)
)
CREATE TABLE Ref_Attraction_Types (
Attraction_Type_Code CHAR(15),
Attraction_Type_Description VARCHAR(255)
)
CREATE TABLE Hotels (
hotel_id INTEGER,
star_rating_code CHAR(15),
pets_allowed_yn CHAR(1),
price_range real,
other_hotel_details VARCHAR(255)
)
CREATE TABLE Staff (
Staff_ID INTEGER,
Tourist_Attraction_ID INTEGER,
Name VARCHAR(40),
Other_Details VARCHAR(255)
)
CREATE TABLE Shops (
Shop_ID INTEGER,
Shop_Details VARCHAR(255)
)
CREATE TABLE Royal_Family (
Royal_Family_ID INTEGER,
Royal_Family_Details VARCHAR(255)
)
CREATE TABLE Photos (
Photo_ID INTEGER,
Tourist_Attraction_ID INTEGER,
Name VARCHAR(255),
Description VARCHAR(255),
Filename VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Tourist_Attractions (
Tourist_Attraction_ID INTEGER,
Attraction_Type_Code CHAR(15),
Location_ID INTEGER,
How_to_Get_There VARCHAR(255),
Name VARCHAR(255),
Description VARCHAR(255),
Opening_Hours VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Features (
Feature_ID INTEGER,
Feature_Details VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the names and ids of tourist attractions that are visited at most once, could you display in ascending by the Y?
|
SELECT T1.Name, T1.Tourist_Attraction_ID FROM Tourist_Attractions AS T1 JOIN Visits AS T2 ON T1.Tourist_Attraction_ID = T2.Tourist_Attraction_ID ORDER BY T1.Tourist_Attraction_ID
|
nvbench
|
CREATE TABLE table_31879 (
"Played in" text,
"Matches" text,
"Lost" text,
"Drawn" text,
"Points for" text,
"Points against" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- The 51 points against, how many are for?
|
SELECT "Points for" FROM table_31879 WHERE "Points against" = '51'
|
wikisql
|
CREATE TABLE table_26454128_9 (
points VARCHAR,
athlete VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the point value(s) for when the athlete was Barney Berlinger?
|
SELECT points FROM table_26454128_9 WHERE athlete = "Barney Berlinger"
|
sql_create_context
|
CREATE TABLE table_56766 (
"Grade" text,
"Points" real,
"Sit-up (reps)" text,
"Standing Broad Jump (cm)" text,
"Chin-up (reps)" text,
"Shuttle Run (sec)" text,
"2.4km Run (min:sec)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What grade was the 2.4km Run (min:sec) of 13:01-13:40?
|
SELECT "Grade" FROM table_56766 WHERE "2.4km Run (min:sec)" = '13:01-13:40'
|
wikisql
|
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 ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
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 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 PostTags (
PostId number,
TagId number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress 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 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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Number of active experts per week in a TAG (SO), parameterized.
|
SELECT t.TagName, COUNT(DISTINCT p.OwnerUserId) AS Users FROM Users AS u, Posts AS p, PostTags AS pt, Tags AS t WHERE p.OwnerUserId = u.Id AND p.PostTypeId = 2 AND p.Score > 0 AND pt.PostId = p.ParentId AND t.Id = pt.TagId AND (t.TagName = 'c' OR t.TagName = 'java' OR t.TagName = 'mysql' OR t.TagName = 'c#') GROUP BY t.TagName
|
sede
|
CREATE TABLE table_34396 (
"Date" text,
"Tournament" text,
"Location" text,
"Winner" text,
"Score" text,
"1st prize ( $ )" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score of the Tournament named danny thomas memphis classic?
|
SELECT "Score" FROM table_34396 WHERE "Tournament" = 'danny thomas memphis classic'
|
wikisql
|
CREATE TABLE table_2989 (
"Year" real,
"Kentucky Derby" real,
"The Preakness Stakes" text,
"Kentucky Oaks" text,
"Belmont Stakes" text,
"Travers Stakes" text,
"Breeders Cup Saturday" text,
"Breeders Cup Friday" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the attendance at the Travers Stakes in 1977?
|
SELECT "Travers Stakes" FROM table_2989 WHERE "Year" = '1977'
|
wikisql
|
CREATE TABLE table_15476 (
"Heat" real,
"Lane" real,
"Name" text,
"Nationality" text,
"Time" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the nationality with less than 9 heat, and a time of 1:01.87?
|
SELECT "Nationality" FROM table_15476 WHERE "Heat" < '9' AND "Time" = '1:01.87'
|
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 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients of black/african american ethnicity are procedured with chordae tendinae ops?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND procedures.short_title = "Chordae tendineae ops"
|
mimicsql_data
|
CREATE TABLE table_32593 (
"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 day is essendon the home team?
|
SELECT "Date" FROM table_32593 WHERE "Home team" = 'essendon'
|
wikisql
|
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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description 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 CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostTypes (
Id number,
Name 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 Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE 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 PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Existing Answer Bounties for Answers that Don't Exist.
|
SELECT * FROM VoteTypes
|
sede
|
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
)
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.
-- tell me the number of patients who had delta abnormal lab test status and were born before 2097.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2097" AND lab.flag = "delta"
|
mimicsql_data
|
CREATE TABLE table_name_65 (
year INTEGER,
rank VARCHAR,
floors VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the earliest year with rank 20 and less than 60 floors?
|
SELECT MIN(year) FROM table_name_65 WHERE rank = 20 AND floors < 60
|
sql_create_context
|
CREATE TABLE table_16188 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Replaced by" text,
"Date of appointment" text,
"Position in table" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the date of vacancy when the date of appointment is 28 november 2007 and replaced by is alex mcleish?
|
SELECT "Date of vacancy" FROM table_16188 WHERE "Date of appointment" = '28 November 2007' AND "Replaced by" = 'Alex McLeish'
|
wikisql
|
CREATE TABLE table_39767 (
"Season" text,
"1st Place" text,
"2nd Place" text,
"3rd Place" text,
"4th Place" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which season had a 3rd place of CSKA Moscow and 1st place of Panathinaikos?
|
SELECT "Season" FROM table_39767 WHERE "3rd Place" = 'cska moscow' AND "1st Place" = 'panathinaikos'
|
wikisql
|
CREATE TABLE table_77035 (
"Athlete" text,
"Event" text,
"100 m" real,
"400 m" real,
"110H" real,
"1500 m" text,
"Final" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the 100m that the 110H was less than 14.52 and the 400m was more than 47.3?
|
SELECT AVG("100 m") FROM table_77035 WHERE "110H" < '14.52' AND "400 m" > '47.3'
|
wikisql
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients whose procedure long title is other closed [endoscopic] biopsy of biliary duct or sphincter of oddi and lab test category is hematology?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Other closed [endoscopic] biopsy of biliary duct or sphincter of Oddi" AND lab."CATEGORY" = "Hematology"
|
mimicsql_data
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- specify the primary disease of patient orville ford
|
SELECT demographic.diagnosis FROM demographic WHERE demographic.name = "Orville Ford"
|
mimicsql_data
|
CREATE TABLE table_name_69 (
interregnum_ended VARCHAR,
count_palatine_of_saxony VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Interregnum ended for Count Palatine of Saxony of john george ii, elector of saxony?
|
SELECT interregnum_ended FROM table_name_69 WHERE count_palatine_of_saxony = "john george ii, elector of saxony"
|
sql_create_context
|
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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId 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 PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE 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 FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResultTypes (
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 PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE CloseReasonTypes (
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 SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Most active day for MySQL Tag.
|
SELECT TIME_TO_STR(p.CreationDate, '%W'), COUNT(p.Id) AS post_cnt FROM PostTags AS t INNER JOIN Posts AS p ON p.Id = t.PostId WHERE t.TagId = (SELECT Id FROM Tags WHERE TagName = 'mysql') AND p.PostTypeId = 1 GROUP BY TIME_TO_STR(p.CreationDate, '%W')
|
sede
|
CREATE TABLE table_14638077_2 (
circuit VARCHAR,
rnd VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what's the circuit with rnd being 5
|
SELECT circuit FROM table_14638077_2 WHERE rnd = 5
|
sql_create_context
|
CREATE TABLE table_33246 (
"Rank" text,
"State" text,
"Population" real,
"Area (km\u00b2)" real,
"Density" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- The state of Aguascalientes has an area (km ) larger than 151,571 and a density greater than 80.9, what is the rank?
|
SELECT "Rank" FROM table_33246 WHERE "Area (km\u00b2)" > '151,571' AND "Density" > '80.9' AND "State" = 'aguascalientes'
|
wikisql
|
CREATE TABLE table_45948 (
"Ethnicity" text,
"Islam" text,
"Christianity" text,
"Judaism" text,
"Buddhism" text,
"Other" text,
"Atheism" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the value of other religions associated with atheism at 1.86%?
|
SELECT "Other" FROM table_45948 WHERE "Atheism" = '1.86%'
|
wikisql
|
CREATE TABLE table_name_75 (
dist__f_ VARCHAR,
race VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Dist (f) has a Race of irish derby?
|
SELECT dist__f_ FROM table_name_75 WHERE race = "irish derby"
|
sql_create_context
|
CREATE TABLE player (
pid number,
pname text,
ycard text,
hs number
)
CREATE TABLE college (
cname text,
state text,
enr number
)
CREATE TABLE tryout (
pid number,
cname text,
ppos text,
decision text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the names of all students who tried out in alphabetical order?
|
SELECT T1.pname FROM player AS T1 JOIN tryout AS T2 ON T1.pid = T2.pid ORDER BY T1.pname
|
spider
|
CREATE TABLE table_name_55 (
driver VARCHAR,
grid VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which driver had a grid number of 18?
|
SELECT driver FROM table_name_55 WHERE grid = "18"
|
sql_create_context
|
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 wdmzjzjlb (
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,
XL number,
YLJGDM number,
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 bdmzjzjlb (
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,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 从18年2月23日到21年7月20日科室97321的门诊量是多少？
|
SELECT COUNT(*) FROM wdmzjzjlb WHERE wdmzjzjlb.JZKSBM = '97321' AND wdmzjzjlb.JZKSRQ BETWEEN '2018-02-23' AND '2021-07-20' UNION SELECT COUNT(*) FROM bdmzjzjlb WHERE bdmzjzjlb.JZKSBM = '97321' AND bdmzjzjlb.JZKSRQ BETWEEN '2018-02-23' AND '2021-07-20'
|
css
|
CREATE TABLE table_77121 (
"Day 1" text,
"Day 2" text,
"Day 3" text,
"Day 4" text,
"Day 5" text,
"Wednesday" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the day 3 when day 4 is fr.?
|
SELECT "Day 3" FROM table_77121 WHERE "Day 4" = 'fr.'
|
wikisql
|
CREATE TABLE table_203_241 (
id number,
"name" text,
"founded" number,
"defunct" number,
"country" text,
"publisher" text,
"topics" text,
"external link" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which magazine was founded the earliest ?
|
SELECT "name" FROM table_203_241 WHERE "founded" = (SELECT MIN("founded") FROM table_203_241)
|
squall
|
CREATE TABLE Allergy_type (
allergytype VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which allergy type has least number of allergies?
|
SELECT allergytype FROM Allergy_type GROUP BY allergytype ORDER BY COUNT(*) LIMIT 1
|
sql_create_context
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a bar chart shows the distribution of hire_date and the sum of salary bin hire_date by time.
|
SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40
|
nvbench
|
CREATE TABLE table_2849 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the record where arco arena 17361 is location attendance?
|
SELECT "Record" FROM table_2849 WHERE "Location Attendance" = 'Arco Arena 17361'
|
wikisql
|
CREATE TABLE table_25215 (
"Year" text,
"Date" text,
"Driver" text,
"Team" text,
"Manufacturer" text,
"Laps" text,
"Miles (km)" text,
"Race Time" text,
"Average Speed (mph)" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the manufacturer in 1990?
|
SELECT "Manufacturer" FROM table_25215 WHERE "Year" = '1990'
|
wikisql
|
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course (
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 jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college 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 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 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 instructor (
instructor_id int,
name varchar,
uniqname varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which section is offered after 21:00 P.M. of the IOE 990 course ?
|
SELECT DISTINCT course_offering.end_time, course_offering.section_number, course_offering.start_time FROM course, course_offering, semester WHERE course_offering.start_time > '21:00' AND course.course_id = course_offering.course_id AND course.department = 'IOE' AND course.number = 990 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
advising
|
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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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.
-- provide the number of patients whose gender is f and primary disease is left internal jugular vein thrombosis;left arm edema?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA"
|
mimicsql_data
|
CREATE TABLE jybgb_jyjgzbb (
JYZBLSH number,
YLJGDM text,
jyjgzbb_id number
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
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 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 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,
YQBH text,
YQMC text,
jyjgzbb_id number
)
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 咱们医院的在00年4月27日到2000年12月12日内病人65980310的所有检验结果指标记录的检测人为韩乐音的检验指标流水号是多少号？
|
SELECT jyjgzbb.JYZBLSH FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN jybgb_jyjgzbb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jybgb_jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND jybgb_jyjgzbb.JYZBLSH = jyjgzbb.JYZBLSH AND jybgb_jyjgzbb.jyjgzbb_id = jyjgzbb.jyjgzbb_id WHERE hz_info.RYBH = '65980310' AND jyjgzbb.JYRQ BETWEEN '2000-04-27' AND '2000-12-12' AND jyjgzbb.JCRGH = '韩乐音' UNION SELECT jyjgzbb.JYZBLSH FROM hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb JOIN jybgb_jyjgzbb ON 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 = jybgb_jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND jybgb_jyjgzbb.JYZBLSH = jyjgzbb.JYZBLSH AND jybgb_jyjgzbb.jyjgzbb_id = jyjgzbb.jyjgzbb_id WHERE hz_info.RYBH = '65980310' AND jyjgzbb.JYRQ BETWEEN '2000-04-27' AND '2000-12-12' AND jyjgzbb.JCRXM = '韩乐音'
|
css
|
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients had been prescribed zolpidem 5 mg tab in this year?
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT medication.patientunitstayid FROM medication WHERE medication.drugname = 'zolpidem 5 mg tab' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year'))
|
eicu
|
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
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 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 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
)
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 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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 整理下患者姜淑华在二零零四年七月三十日到二零二零年十一月二十六日内所有检验结果指标记录的检测人为17450031的检验指标流水号好嘛
|
SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN mzjzjlb_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 = mzjzjlb_jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH WHERE person_info.XM = '姜淑华' AND jyjgzbb.JYRQ BETWEEN '2004-07-30' AND '2020-11-26' AND jyjgzbb.JCRGH = '17450031' UNION SELECT jyjgzbb.JYZBLSH 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 = '姜淑华' AND jyjgzbb.JYRQ BETWEEN '2004-07-30' AND '2020-11-26' AND jyjgzbb.JCRGH = '17450031'
|
css
|
CREATE TABLE table_name_75 (
rank_points VARCHAR,
total VARCHAR,
event VARCHAR,
score_points VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the Rank points which have an Event of wc beijing, and Score points of 13, and a Total of 18?
|
SELECT rank_points FROM table_name_75 WHERE event = "wc beijing" AND score_points = "13" AND total = "18"
|
sql_create_context
|
CREATE TABLE table_3290 (
"Season" real,
"Series" text,
"Team" text,
"Races" real,
"Wins" real,
"Poles" real,
"F/Laps" real,
"Podiums" real,
"Points" text,
"Position" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When was the earliest season of Juncadella's career?
|
SELECT MIN("Season") FROM table_3290
|
wikisql
|
CREATE TABLE table_63919 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many Silver medals did the Nation with 10 or more Bronze receive?
|
SELECT MIN("Silver") FROM table_63919 WHERE "Bronze" > '10'
|
wikisql
|
CREATE TABLE table_71916 (
"Year" real,
"Winner" text,
"Jockey" text,
"Trainer" text,
"Owner" text,
"Time" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What year was owner Michael E. Pegram's last win?
|
SELECT MAX("Year") FROM table_71916 WHERE "Owner" = 'michael e. pegram'
|
wikisql
|
CREATE TABLE table_41404 (
"Rank" real,
"Name" text,
"Team" text,
"Games" real,
"Rebounds" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many Rebounds did Maccabi Tel Aviv Team get after Game 6?
|
SELECT COUNT("Rebounds") FROM table_41404 WHERE "Team" = 'maccabi tel aviv' AND "Games" > '6'
|
wikisql
|
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
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 comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE area (
course_id int,
area 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 program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Is it ok to take 400 -level classes in Fall or Winter term ?
|
SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, semester AS SEMESTERalias0 WHERE ((SEMESTERalias0.semester = 'FA' AND SEMESTERalias0.year = 2016) OR (SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2017)) AND COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'EECS' AND COURSEalias0.number BETWEEN 400 AND 400 + 100 AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester
|
advising
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those records from the products and each product's manufacturer, draw a scatter chart about the correlation between price and code , and group by attribute founder.
|
SELECT T1.Price, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder
|
nvbench
|
CREATE TABLE table_3743 (
"Version" text,
"Codename" text,
"Edition" text,
"Code Base" text,
"Compatible repository" text,
"Default desktop environment" text,
"Release date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the compatible repository when the version is old version, no longer supported: 9 and default desktop environment is lxde?
|
SELECT "Compatible repository" FROM table_3743 WHERE "Version" = 'Old version, no longer supported: 9' AND "Default desktop environment" = 'LXDE'
|
wikisql
|
CREATE TABLE table_name_11 (
final VARCHAR,
no5 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the final result of the team that has Simara as No.5?
|
SELECT final FROM table_name_11 WHERE no5 = "simara"
|
sql_create_context
|
CREATE TABLE CMI_Cross_References (
cmi_cross_ref_id INTEGER,
master_customer_id INTEGER,
source_system_code CHAR(15)
)
CREATE TABLE Electoral_Register (
electoral_register_id INTEGER,
cmi_cross_ref_id INTEGER
)
CREATE TABLE Customer_Master_Index (
master_customer_id INTEGER,
cmi_details VARCHAR(255)
)
CREATE TABLE Business_Rates (
business_rates_id INTEGER,
cmi_cross_ref_id INTEGER
)
CREATE TABLE Council_Tax (
council_tax_id INTEGER,
cmi_cross_ref_id INTEGER
)
CREATE TABLE Benefits_Overpayments (
council_tax_id INTEGER,
cmi_cross_ref_id INTEGER
)
CREATE TABLE Rent_Arrears (
council_tax_id INTEGER,
cmi_cross_ref_id INTEGER
)
CREATE TABLE Parking_Fines (
council_tax_id INTEGER,
cmi_cross_ref_id INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me a scatter plot of council tax id and cmi_cross_ref_id for .
|
SELECT council_tax_id, cmi_cross_ref_id FROM Parking_Fines
|
nvbench
|
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId 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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name 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 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 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 ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
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 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 Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Total Questions in past year.
|
SELECT COUNT(Id) AS "#" FROM Posts WHERE PostTypeId = 1 AND CreationDate > DATEADD(Month, -12, DATEADD(dd, DATEDIFF(dd, 0, GETDATE()), 0))
|
sede
|
CREATE TABLE table_32878 (
"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.
-- Who was the home team for the Essendon away team with attendance over 13,500?
|
SELECT "Home team score" FROM table_32878 WHERE "Crowd" > '13,500' AND "Away team" = 'essendon'
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose ethnicity is asian and age is less than 49?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.age < "49"
|
mimicsql_data
|
CREATE TABLE table_6950 (
"Nation" text,
"Skip" text,
"Third" text,
"Second" text,
"Lead" text,
"Alternate" text,
"Club" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Yumie Hayashi was third for which club?
|
SELECT "Club" FROM table_6950 WHERE "Third" = 'yumie hayashi'
|
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 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients whose year of birth is less than 2110 and procedure icd9 code is 4105?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2110" AND procedures.icd9_code = "4105"
|
mimicsql_data
|
CREATE TABLE table_name_67 (
meet VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the meet when the date is 3 august 2012?
|
SELECT meet FROM table_name_67 WHERE date = "3 august 2012"
|
sql_create_context
|
CREATE TABLE table_80372 (
"2002/ 03" text,
"2004/ 05" text,
"2006/ 07" text,
"2007/ 08" text,
"2008/ 09" text,
"2009/ 10" text,
"2010/ 11" text,
"2011/ 12" text,
"2012/ 13" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the 2010/11 with 2004/05 of not held and 2011/12 of non-ranking
|
SELECT "2010/ 11" FROM table_80372 WHERE "2004/ 05" = 'not held' AND "2011/ 12" = 'non-ranking'
|
wikisql
|
CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG 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
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 请分别列出医疗就诊84484149004中所有异地结算的费用明细项目具体都是什么？
|
SELECT MED_EXP_DET_ID FROM t_kc22 WHERE MED_CLINIC_ID = '84484149004' AND (REMOTE_SETTLE_FLG = '异地1' OR REMOTE_SETTLE_FLG = '异地2')
|
css
|
CREATE TABLE table_50728 (
"Rider" text,
"Manufacturer" text,
"Laps" real,
"Time" text,
"Grid" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Loris Capirossi's time?
|
SELECT "Time" FROM table_50728 WHERE "Rider" = 'loris capirossi'
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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.
-- how many patients are with elective admission type and with procedure icd9 code 252?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.icd9_code = "252"
|
mimicsql_data
|
CREATE TABLE table_name_55 (
date VARCHAR,
home VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the date of the game when St. Louis was the home team?
|
SELECT date FROM table_name_55 WHERE home = "st. louis"
|
sql_create_context
|
CREATE TABLE table_name_60 (
high_assists VARCHAR,
game INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- With the game that was less than 16 what was the high assists?
|
SELECT high_assists FROM table_name_60 WHERE game < 16
|
sql_create_context
|
CREATE TABLE order_items (
product_id VARCHAR,
order_quantity INTEGER
)
CREATE TABLE products (
product_details VARCHAR,
product_id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the name and ID of the product whose total order quantity is the largest.
|
SELECT t2.product_details, t2.product_id FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY SUM(t1.order_quantity) LIMIT 1
|
sql_create_context
|
CREATE TABLE table_name_56 (
gold INTEGER,
total VARCHAR,
rank VARCHAR,
bronze VARCHAR,
silver VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average gold medals for countries with more than 0 bronze, more than 0 silver, rank over 2 and total over 3?
|
SELECT AVG(gold) FROM table_name_56 WHERE bronze > 0 AND silver > 0 AND rank > 2 AND total > 3
|
sql_create_context
|
CREATE TABLE table_204_105 (
id number,
"#" number,
"name" text,
"height" text,
"weight (lbs.)" number,
"position" text,
"class" text,
"hometown" text,
"previous team(s)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who weighs the most on the team ?
|
SELECT "name" FROM table_204_105 ORDER BY "weight (lbs.)" DESC LIMIT 1
|
squall
|
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
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 offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE area (
course_id int,
area 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 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Can 400 -level classes be taken by me in the Fall or Winter term ?
|
SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, semester AS SEMESTERalias0 WHERE ((SEMESTERalias0.semester = 'FA' AND SEMESTERalias0.year = 2016) OR (SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2017)) AND COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'EECS' AND COURSEalias0.number BETWEEN 400 AND 400 + 100 AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester
|
advising
|
CREATE TABLE schedule (
Cinema_ID int,
Film_ID int,
Date text,
Show_times_per_day int,
Price float
)
CREATE TABLE cinema (
Cinema_ID int,
Name text,
Openning_year int,
Capacity int,
Location text
)
CREATE TABLE film (
Film_ID int,
Rank_in_series int,
Number_in_season int,
Title text,
Directed_by text,
Original_air_date text,
Production_code text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me the average of capacity by openning year in a histogram, order by the y-axis in descending.
|
SELECT Openning_year, AVG(Capacity) FROM cinema GROUP BY Openning_year ORDER BY AVG(Capacity) DESC
|
nvbench
|
CREATE TABLE table_25913 (
"Episode" text,
"First broadcast" text,
"Seans team" text,
"Daves team" text,
"Scores" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which episode has boy george and lee mack on dave's team?
|
SELECT "Episode" FROM table_25913 WHERE "Daves team" = 'Boy George and Lee Mack'
|
wikisql
|
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients who are admitted to hospital until 1 year ago.
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE DATETIME(patient.hospitaladmittime) <= DATETIME(CURRENT_TIME(), '-1 year')
|
eicu
|
CREATE TABLE table_57760 (
"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 the 2006 value with 3r in 2007?
|
SELECT "2006" FROM table_57760 WHERE "2007" = '3r'
|
wikisql
|
CREATE TABLE table_name_16 (
film_or_television_series_or_miniseries VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the film, television series, or miniseries with a nomination in 2001?
|
SELECT film_or_television_series_or_miniseries FROM table_name_16 WHERE year = 2001
|
sql_create_context
|
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,
ZSEBZ number,
ZZBZ number,
ZZYSGH text,
mzjzjlb_id number
)
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 hz_info_mzjzjlb (
JZLSH number,
YLJGDM number,
mzjzjlb_id number
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM 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_MZJZJLB text,
YLJGDM_ZYJZJLB 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者79511852被诊断为前列腺增生，查一下检测指标812812的结果定量及其单位
|
SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN hz_info_mzjzjlb ON hz_info.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND hz_info_mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.mzjzjlb_id = mzjzjlb.mzjzjlb_id WHERE mzjzjlb.JZZDSM = '前列腺增生' AND hz_info.RYBH = '79511852' AND jyjgzbb.JCZBDM = '812812'
|
css
|
CREATE TABLE table_204_240 (
id number,
"name" text,
"current use" text,
"completed" text,
"namesake" text,
"info" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which building was the first completed ?
|
SELECT "name" FROM table_204_240 ORDER BY "completed" LIMIT 1
|
squall
|
CREATE TABLE table_36128 (
"Game" real,
"December" real,
"Opponent" text,
"Score" text,
"Record" text,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the score for December of 30?
|
SELECT "Score" FROM table_36128 WHERE "December" = '30'
|
wikisql
|
CREATE TABLE table_name_20 (
lost INTEGER,
points VARCHAR,
drawn VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many losses have points less than 3, with a drawn greater than 0?
|
SELECT SUM(lost) FROM table_name_20 WHERE points < 3 AND drawn > 0
|
sql_create_context
|
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 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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text,
person_info_CSD text,
person_info_CSRQ time,
person_info_GJDM text,
person_info_GJMC text,
person_info_JGDM text,
person_info_JGMC text,
person_info_MZDM text,
person_info_MZMC text,
person_info_XBDM number,
person_info_XBMC text,
person_info_XLDM text,
person_info_XLMC text,
person_info_XM text,
person_info_ZYLBDM text,
person_info_ZYMC 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 找出患者姜新蕾去医院4680590住院出院的时候，负责办理出院的科室名字里面带免疫病的记录
|
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.person_info_XM = '姜新蕾' AND hz_info.YLJGDM = '4680590' AND zyjzjlb.CYKSMC LIKE '%免疫病%'
|
css
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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 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 is date of birth and ethnicity of subject name jerry deberry?
|
SELECT demographic.dob, demographic.ethnicity FROM demographic WHERE demographic.name = "Jerry Deberry"
|
mimicsql_data
|
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description 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 days (
days_code varchar,
day_name varchar
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
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 dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant 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 state (
state_code text,
state_name text,
country_name text
)
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 ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare 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 code_description (
code varchar,
description text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
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 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 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 airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what flights are available from ATLANTA to OAKLAND with one way economy fares
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND fare_basis.economy = 'YES' AND fare.fare_basis_code = fare_basis.fare_basis_code AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
atis
|
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.
-- Give me the number of patients whose drug code was morp2-4 and had lab test category as hematology.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "MORP2-4" AND lab."CATEGORY" = "Hematology"
|
mimicsql_data
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is minimum age of patients whose admission type is urgent and year of death is less than 2111?
|
SELECT MIN(demographic.age) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.dod_year < "2111.0"
|
mimicsql_data
|
CREATE TABLE table_75323 (
"Player" text,
"Touchdowns" real,
"Extra points" real,
"Field goals" real,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of all the touchdowns when the player had more than 0 extra points and less than 0 field goals?
|
SELECT SUM("Touchdowns") FROM table_75323 WHERE "Extra points" > '0' AND "Field goals" < '0'
|
wikisql
|
CREATE TABLE table_45134 (
"Rider" text,
"Manufacturer" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest laps that has a manufacturer of yamaha, and a time/retired of +1:08.312, and a grid less than 20?
|
SELECT MIN("Laps") FROM table_45134 WHERE "Manufacturer" = 'yamaha' AND "Time/Retired" = '+1:08.312' AND "Grid" < '20'
|
wikisql
|
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 ReviewTaskResultTypes (
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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment 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 PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
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 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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE CloseReasonTypes (
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 PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
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 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 PostTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Average score for all questions and answers on site.
|
SELECT PostTypes.Name, ((SUM(Posts.Score) * 1.0) / COUNT(Posts.Score)) FROM Posts INNER JOIN PostTypes ON PostTypes.Id = Posts.PostTypeId GROUP BY PostTypes.Name
|
sede
|
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
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 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 hz_info_mzjzjlb (
JZLSH number,
YLJGDM number,
mzjzjlb_id 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,
ZSEBZ number,
ZZBZ number,
ZZYSGH text,
mzjzjlb_id number
)
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 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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 门诊诊断给患者29164002的诊断为前列腺增生，他000470这个检测指标的结果定量及其单位是什么
|
SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN hz_info_mzjzjlb ON hz_info.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND hz_info_mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.mzjzjlb_id = mzjzjlb.mzjzjlb_id WHERE mzjzjlb.JZZDSM = '前列腺增生' AND hz_info.RYBH = '29164002' AND jyjgzbb.JCZBDM = '000470'
|
css
|
CREATE TABLE station (
name VARCHAR,
long VARCHAR,
id VARCHAR
)
CREATE TABLE trip (
duration INTEGER,
start_station_id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For each station, return its longitude and the average duration of trips that started from the station.
|
SELECT T1.name, T1.long, AVG(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id
|
sql_create_context
|
CREATE TABLE table_1531 (
"Club" text,
"Played" text,
"Won" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Points difference" text,
"Points" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many losses does the club with 539 points for have?
|
SELECT "Lost" FROM table_1531 WHERE "Points for" = '539'
|
wikisql
|
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