instruction
stringlengths 151
7.46k
| output
stringlengths 2
4.44k
| source
stringclasses 26
values |
|---|---|---|
CREATE TABLE table_70212 (
"Grand Prix" text,
"Pole position" text,
"Fastest lap" text,
"Winning driver" text,
"Winning constructor" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the pole positon for korean grand prix
|
SELECT "Pole position" FROM table_70212 WHERE "Grand Prix" = 'korean grand prix'
|
wikisql
|
CREATE TABLE table_52663 (
"Chemical class" text,
"Group" text,
"Formula" text,
"Prefix" text,
"Suffix" text,
"Example" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What prefix has Bromo as the group?
|
SELECT "Prefix" FROM table_52663 WHERE "Group" = 'bromo'
|
wikisql
|
CREATE TABLE table_203_710 (
id number,
"genre" text,
"year" number,
"title" text,
"episode" text,
"role" text,
"notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the last piece of filmography that he has worked on to date ?
|
SELECT "title" FROM table_203_710 ORDER BY "year" DESC LIMIT 1
|
squall
|
CREATE TABLE table_68993 (
"Material" text,
"Resistivity (10 \u22126 ohm-inches)" real,
"Relative permeability" real,
"Skin depth, inches" real,
"Surface resistance, Relative to copper" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average relative permeability with a resistivity smaller than 1.12 and a surface resistance relative to copper smaller than 1?
|
SELECT AVG("Relative permeability") FROM table_68993 WHERE "Resistivity (10 \u22126 ohm-inches)" < '1.12' AND "Surface resistance, Relative to copper" < '1'
|
wikisql
|
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, visualize a bar chart about the distribution of name and the average of price , and group by attribute name, and display x-axis from low to high order.
|
SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name
|
nvbench
|
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE 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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 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 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 SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount 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 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 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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Distribution of voting activity in time for different vintages of questions and answers.
|
WITH a AS (SELECT p.Id, COUNT(p.Id) AS nId, TIME_TO_STR(p.CreationDate, '%Y') AS PostYr, TIME_TO_STR(v.CreationDate, '%Y') + 1.00 * TIME_TO_STR(v.CreationDate, '%-M') / 12 AS VoteMonth FROM Posts AS p JOIN Votes AS v ON p.Id = v.PostId WHERE p.PostTypeId IN (1) AND v.VoteTypeId IN (2, 3) GROUP BY p.Id, TIME_TO_STR(p.CreationDate, '%Y'), TIME_TO_STR(v.CreationDate, '%Y') + 1.00 * TIME_TO_STR(v.CreationDate, '%-M') / 12), b AS (SELECT Id, nId, PostYr, VoteMonth, COUNT(Id) OVER (PARTITION BY PostYr, VoteMonth ORDER BY nId DESC) AS porder FROM a) SELECT * FROM b
|
sede
|
CREATE TABLE table_name_25 (
attendance INTEGER,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many people attended the game on May 31?
|
SELECT SUM(attendance) FROM table_name_25 WHERE date = "may 31"
|
sql_create_context
|
CREATE TABLE table_32618 (
"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 away team played at Glenferrie Oval?
|
SELECT "Away team" FROM table_32618 WHERE "Venue" = 'glenferrie oval'
|
wikisql
|
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number,
t_kc21_CLINIC_ID text,
t_kc21_CLINIC_TYPE text,
t_kc21_COMP_ID text,
t_kc21_DATA_ID text,
t_kc21_DIFF_PLACE_FLG number,
t_kc21_FERTILITY_STS number,
t_kc21_FLX_MED_ORG_ID text,
t_kc21_HOSP_LEV number,
t_kc21_HOSP_STS number,
t_kc21_IDENTITY_CARD text,
t_kc21_INPT_AREA_BED text,
t_kc21_INSURED_IDENTITY number,
t_kc21_INSURED_STS text,
t_kc21_INSU_TYPE text,
t_kc21_IN_DIAG_DIS_CD text,
t_kc21_IN_DIAG_DIS_NM text,
t_kc21_IN_HOSP_DATE time,
t_kc21_IN_HOSP_DAYS number,
t_kc21_MAIN_COND_DES text,
t_kc21_MED_AMOUT number,
t_kc21_MED_ORG_DEPT_CD text,
t_kc21_MED_ORG_DEPT_NM text,
t_kc21_MED_SER_ORG_NO text,
t_kc21_MED_TYPE number,
t_kc21_OUT_DIAG_DIS_CD text,
t_kc21_OUT_DIAG_DIS_NM text,
t_kc21_OUT_DIAG_DOC_CD text,
t_kc21_OUT_DIAG_DOC_NM text,
t_kc21_OUT_HOSP_DATE time,
t_kc21_OVERALL_CD_ORG text,
t_kc21_OVERALL_CD_PERSON text,
t_kc21_PERSON_AGE number,
t_kc21_PERSON_ID text,
t_kc21_PERSON_NM text,
t_kc21_PERSON_SEX number,
t_kc21_REIMBURSEMENT_FLG number,
t_kc21_REMOTE_SETTLE_FLG text,
t_kc21_SERVANT_FLG text,
t_kc21_SOC_SRT_CARD text,
t_kc21_SYNC_TIME time,
t_kc21_TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 一一年十月十七日到一八年十一月四日，在2596003医院有多少科室涉及医疗费总额不超过1825.05元
|
SELECT COUNT(*) FROM (SELECT t_kc24.t_kc21_MED_ORG_DEPT_CD FROM t_kc24 WHERE t_kc24.t_kc21_MED_SER_ORG_NO = '2596003' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2011-10-17' AND '2018-11-04' GROUP BY t_kc24.t_kc21_MED_ORG_DEPT_CD HAVING SUM(t_kc24.MED_AMOUT) <= 1825.05) AS T
|
css
|
CREATE TABLE table_38454 (
"Line" text,
"Speed" text,
"Length" text,
"Construction begun" text,
"Expected start of revenue services" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the length when the expected start of revenue is more than 2017?
|
SELECT "Length" FROM table_38454 WHERE "Expected start of revenue services" > '2017'
|
wikisql
|
CREATE TABLE table_name_63 (
country VARCHAR,
money___$__ INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- From which country is the player who made less than $216?
|
SELECT country FROM table_name_63 WHERE money___$__ < 216
|
sql_create_context
|
CREATE TABLE table_66497 (
"Position" text,
"Country" text,
"Floor" real,
"Pommel Horse" real,
"Rings" real,
"Vault" real,
"Parallel Bars" real,
"Horizontal Bar" real,
"Team Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the highest Horizontal Bar which is in france and Rings smaller than 58.975?
|
SELECT MAX("Horizontal Bar") FROM table_66497 WHERE "Country" = 'france' AND "Rings" < '58.975'
|
wikisql
|
CREATE TABLE table_31166 (
"District" real,
"Representative" text,
"Party" text,
"Residence" text,
"First Elected" text,
"Term Limited" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which district does andy thompson represent
|
SELECT COUNT("District") FROM table_31166 WHERE "Representative" = 'Andy Thompson'
|
wikisql
|
CREATE TABLE table_39675 (
"Date" text,
"City" text,
"Opponent" text,
"Results\u00b9" text,
"Type of game" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result of the Euro '64 qualifying game?
|
SELECT "Results\u00b9" FROM table_39675 WHERE "Type of game" = 'euro ''64 qualifying'
|
wikisql
|
CREATE TABLE table_name_31 (
saka_era VARCHAR,
sign_of_zodiac VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT IS THE SAKA ERA OF VIRGO?
|
SELECT saka_era FROM table_name_31 WHERE sign_of_zodiac = "virgo"
|
sql_create_context
|
CREATE TABLE CloseReasonTypes (
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 PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name 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 TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE 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 PostTypes (
Id number,
Name text
)
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
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List of all user Ids.
|
SELECT Id FROM Users
|
sede
|
CREATE TABLE table_72515 (
"Rank" real,
"Rider" text,
"Mon 26 May" text,
"Tues 27 May" text,
"Wed 28 May" text,
"Thurs 29 May" text,
"Fri 30 May" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the numbr for fri may 30 and mon may 26 is 19' 02.890 118.847mph?
|
SELECT "Fri 30 May" FROM table_72515 WHERE "Mon 26 May" = '19'' 02.890 118.847mph'
|
wikisql
|
CREATE TABLE table_23123 (
"Pick #" real,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text,
"College/junior/club team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the nhl times for jeff jacques
|
SELECT "NHL team" FROM table_23123 WHERE "Player" = 'Jeff Jacques'
|
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 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
)
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.
-- how many patients are with self pay insurance and have undergone the procedure open biopsy of soft tissue?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Self Pay" AND procedures.long_title = "Open biopsy of soft tissue"
|
mimicsql_data
|
CREATE TABLE table_52299 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- I want the driver with Laps larger than 16 with a ferrari and grid less than 15
|
SELECT "Driver" FROM table_52299 WHERE "Laps" > '16' AND "Constructor" = 'ferrari' AND "Grid" < '15'
|
wikisql
|
CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_of_completion DATETIME
)
CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tutor_ATB VARCHAR(3),
login_name VARCHAR(40),
password VARCHAR(40),
personal_name VARCHAR(80),
middle_name VARCHAR(80),
family_name VARCHAR(80),
gender_mf VARCHAR(1),
address_line_1 VARCHAR(80)
)
CREATE TABLE Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me the comparison about gender_mf over the family_name .
|
SELECT family_name, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name
|
nvbench
|
CREATE TABLE table_name_49 (
score VARCHAR,
game VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the score for game 4?
|
SELECT score FROM table_name_49 WHERE game = 4
|
sql_create_context
|
CREATE TABLE table_name_96 (
caps VARCHAR,
player VARCHAR,
province___club VARCHAR,
position VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Caps, when Province / Club is Example, when Position is Prop, and when Player is Sam Walters?
|
SELECT caps FROM table_name_96 WHERE province___club = "example" AND position = "prop" AND player = "sam walters"
|
sql_create_context
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is average age of patients whose marital status is married and admission type is urgent?
|
SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.admission_type = "URGENT"
|
mimicsql_data
|
CREATE TABLE elimination (
TIME VARCHAR,
Eliminated_By VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the times of elimination by 'Punk' or 'Orton'.
|
SELECT TIME FROM elimination WHERE Eliminated_By = "Punk" OR Eliminated_By = "Orton"
|
sql_create_context
|
CREATE TABLE ship (
ship_id number,
name text,
type text,
built_year number,
class text,
flag text
)
CREATE TABLE captain (
captain_id number,
name text,
ship_id number,
age text,
class text,
rank text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many captains are in each rank?
|
SELECT COUNT(*), rank FROM captain GROUP BY rank
|
spider
|
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 intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- when did patient 003-83 first have a laboratory test until 04/2105?
|
SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '003-83')) AND STRFTIME('%y-%m', lab.labresulttime) <= '2105-04' ORDER BY lab.labresulttime LIMIT 1
|
eicu
|
CREATE TABLE table_name_52 (
fa_trophy INTEGER,
player VARCHAR,
league VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many FA Trophy has a Player of mario walsh and a League larger than 17?
|
SELECT AVG(fa_trophy) FROM table_name_52 WHERE player = "mario walsh" AND league > 17
|
sql_create_context
|
CREATE TABLE table_204_126 (
id number,
"place" text,
"player" text,
"country" text,
"score" text,
"to par" number,
"money ($)" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what are the number of times the united states is listed as the country ?
|
SELECT COUNT(*) FROM table_204_126 WHERE "country" = 'united states'
|
squall
|
CREATE TABLE table_32701 (
"Dance" text,
"Best dancer(s)" text,
"Highest score" real,
"Worst dancer(s)" text,
"Lowest score" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which of the Worst dancer(s) has the Lowest score of 14?
|
SELECT "Worst dancer(s)" FROM table_32701 WHERE "Lowest score" = '14'
|
wikisql
|
CREATE TABLE table_name_22 (
wickets VARCHAR,
rank INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the total number of Wickets that ranger higher than 5?
|
SELECT COUNT(wickets) FROM table_name_22 WHERE rank > 5
|
sql_create_context
|
CREATE TABLE table_28734 (
"Institution" text,
"Location" text,
"Team Nickname" text,
"Years" text,
"New Conference" text,
"New Classification" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where is the nickname the Red Raiders?
|
SELECT "Location" FROM table_28734 WHERE "Team Nickname" = 'Red Raiders'
|
wikisql
|
CREATE TABLE table_41171 (
"Issue" text,
"Date" text,
"Title" text,
"Penciller" text,
"Color" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the Date of the Cimmeria Issue for which the Penciller was Tom s Giorello?
|
SELECT "Date" FROM table_41171 WHERE "Penciller" = 'tomás giorello' AND "Title" = 'cimmeria'
|
wikisql
|
CREATE TABLE table_8210 (
"Region" text,
"Date" text,
"Label" text,
"Format" text,
"Version" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Region of the release on December 22, 2008?
|
SELECT "Region" FROM table_8210 WHERE "Date" = 'december 22, 2008'
|
wikisql
|
CREATE TABLE table_39032 (
"Year" real,
"Starts" real,
"Wins" real,
"Top 5" real,
"Top 10" real,
"Poles" real,
"Avg. Start" real,
"Avg. Finish" real,
"Winnings" text,
"Position" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest number of poles of the year before 1992 with more than 18 starts and winnings of $125,102?
|
SELECT MAX("Poles") FROM table_39032 WHERE "Starts" > '18' AND "Winnings" = '$125,102' AND "Year" < '1992'
|
wikisql
|
CREATE TABLE table_203_548 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the total number of medals received by the nations ranked # 11 ?
|
SELECT SUM("total") FROM table_203_548 WHERE "rank" = 11
|
squall
|
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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- find the number of patients who had closed bronchial biopsy.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "Closed bronchial biopsy"
|
mimicsql_data
|
CREATE TABLE table_77277 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Ground" text,
"Crowd" real,
"Date" text,
"Local Time" text,
"AEDT Time" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Home team score has a AEDT Time of 11:00 pm?
|
SELECT "Home team score" FROM table_77277 WHERE "AEDT Time" = '11:00 pm'
|
wikisql
|
CREATE TABLE table_name_40 (
home_team VARCHAR,
tie_no VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the home team when the tie is 11?
|
SELECT home_team FROM table_name_40 WHERE tie_no = "11"
|
sql_create_context
|
CREATE TABLE table_57721 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Save" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lost On August 20
|
SELECT "Loss" FROM table_57721 WHERE "Date" = 'august 20'
|
wikisql
|
CREATE TABLE table_name_54 (
constructor VARCHAR,
rounds VARCHAR,
chassis VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the constructor on the team with 8 rounds and a chassis of 156 158 1512?
|
SELECT constructor FROM table_name_54 WHERE rounds = "8" AND chassis = "156 158 1512"
|
sql_create_context
|
CREATE TABLE table_19454 (
"Virtual" real,
"Physical" real,
"Call sign" text,
"Branding" text,
"Network" text,
"Owner" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the virtual for Fox
|
SELECT COUNT("Virtual") FROM table_19454 WHERE "Network" = 'Fox'
|
wikisql
|
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 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 ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE 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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTaskTypes (
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 PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId 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 CloseReasonTypes (
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 PostTypes (
Id number,
Name 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 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 PostTags (
PostId number,
TagId number
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Questions with no upvoted answers.
|
SELECT q.Id AS "post_link" FROM Posts AS q WHERE PostTypeId = 1 AND Score > 0 AND ClosedDate IS NULL AND (SELECT COUNT(*) FROM Posts AS a WHERE a.ParentId = q.Id AND a.Score > -1) = 0 AND AcceptedAnswerId IS NULL ORDER BY CreationDate
|
sede
|
CREATE TABLE table_69506 (
"Year" text,
"Start" text,
"Qual" text,
"Rank" text,
"Finish" text,
"Laps" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the start number for a rank 11 race with less than 200 laps?
|
SELECT "Start" FROM table_69506 WHERE "Laps" < '200' AND "Rank" = '11'
|
wikisql
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Visualize a bar chart about the distribution of All_Games and ACC_Percent , could you order bar from high to low order?
|
SELECT All_Games, ACC_Percent FROM basketball_match ORDER BY All_Games DESC
|
nvbench
|
CREATE TABLE table_59182 (
"Elimination" text,
"Wrestler" text,
"Eliminated by" text,
"Elimination Move" text,
"Time" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Elimination number is listed againt Eliminated by Sonjay Dutt?
|
SELECT "Elimination" FROM table_59182 WHERE "Eliminated by" = 'sonjay dutt'
|
wikisql
|
CREATE TABLE table_27261 (
"Air date" text,
"Reward" text,
"Immunity" text,
"Eliminated" text,
"Vote" text,
"Finish" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the vote when the air date is 4 october 1997?
|
SELECT "Vote" FROM table_27261 WHERE "Air date" = '4 October 1997'
|
wikisql
|
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE 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 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 SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE 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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find questions with close votes.
|
SELECT p.Id AS "post_link", COUNT(*) AS "occurrences" FROM Posts AS p INNER JOIN Votes AS v ON p.Id = v.PostId WHERE p.PostTypeId = 1 AND p.ClosedDate IS NULL AND v.VoteTypeId = 6 GROUP BY p.Id HAVING COUNT(*) >= 2 ORDER BY occurrences DESC
|
sede
|
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment 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 FlagTypes (
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 PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE 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 PostHistoryTypes (
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 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 ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE VoteTypes (
Id number,
Name 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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount 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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who says they are 'new to' a technology?.
|
SELECT Id, Tags, Body FROM Posts WHERE PostTypeId = 1 AND Body LIKE '%new to%'
|
sede
|
CREATE TABLE table_26125 (
"Represent" text,
"Contestant" text,
"Age" real,
"Height (ft.)" text,
"Height (mtr.)" text,
"Hometown" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What country had a contestant that was 1.70 meters tall?
|
SELECT "Represent" FROM table_26125 WHERE "Height (mtr.)" = '1.70'
|
wikisql
|
CREATE TABLE table_name_31 (
secr_numbers VARCHAR,
year_made VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the SECR number of the item made in 1861?
|
SELECT secr_numbers FROM table_name_31 WHERE year_made = "1861"
|
sql_create_context
|
CREATE TABLE table_name_69 (
score INTEGER,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How high did Arnold Palmer score in 1962?
|
SELECT MAX(score) FROM table_name_69 WHERE player = "arnold palmer"
|
sql_create_context
|
CREATE TABLE table_78791 (
"Release" text,
"Chart" text,
"Peak Position" real,
"Sales Total" real,
"Chart Run" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Chart has a Peak Position of 1?
|
SELECT "Chart" FROM table_78791 WHERE "Peak Position" = '1'
|
wikisql
|
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 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 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.
-- Look for time of discharge and procedure icd9 code for the patient with patient id 91588.
|
SELECT demographic.dischtime, procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "91588"
|
mimicsql_data
|
CREATE TABLE table_75133 (
"Rank" text,
"Runs" text,
"Opponent" text,
"Venue" text,
"Season" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Runs has a Rank of =5 and an Opponent of south australia?
|
SELECT "Runs" FROM table_75133 WHERE "Rank" = '=5' AND "Opponent" = 'south australia'
|
wikisql
|
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- is the temperature c (calc) of patient 22120 on the first intensive care unit visit normal?
|
SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 22120) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'temperature c (calc)' AND d_items.linksto = 'chartevents') AND chartevents.valuenum BETWEEN temperature_lower AND temperature_upper
|
mimic_iii
|
CREATE TABLE table_name_14 (
result VARCHAR,
week VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result of the game after Week 13 on December 8, 1991?
|
SELECT result FROM table_name_14 WHERE week > 13 AND date = "december 8, 1991"
|
sql_create_context
|
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 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
)
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.
-- provide the number of patients whose admission type is emergency and days of hospital stay is greater than 23?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.days_stay > "23"
|
mimicsql_data
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
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.
-- which type of drug is prescribed to patient with patient id 2560?
|
SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.subject_id = "2560"
|
mimicsql_data
|
CREATE TABLE table_951 (
"No." text,
"Name" text,
"Livery" text,
"Arrival" real,
"Type" text,
"Configuration" text,
"Builder" text,
"Built" real,
"Status" text,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Whats the status of the trains at location Museum
|
SELECT "Status" FROM table_951 WHERE "Location" = 'Museum'
|
wikisql
|
CREATE TABLE table_name_94 (
royal_house VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What royal house did Shaokang belong to?
|
SELECT royal_house FROM table_name_94 WHERE name = "shaokang"
|
sql_create_context
|
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Draw a bar chart of sex versus mean height, and rank mean height in ascending order.
|
SELECT Sex, AVG(Height) FROM people GROUP BY Sex ORDER BY AVG(Height)
|
nvbench
|
CREATE TABLE table_80049 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many years had more than 0 points?
|
SELECT SUM("Year") FROM table_80049 WHERE "Points" > '0'
|
wikisql
|
CREATE TABLE table_58563 (
"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.
-- When did the home team score 9.13 (67)?
|
SELECT "Date" FROM table_58563 WHERE "Home team score" = '9.13 (67)'
|
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 records from the products and each product's manufacturer, a bar chart shows the distribution of name and the average of price , and group by attribute name, and show by the bar from low to high please.
|
SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name
|
nvbench
|
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the three year survival probability for patients who were prescribed potassium chloride crys er 20 meq po tbcr after having been diagnosed with valvular stenosis?
|
SELECT SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t4.diagnosistime) > 3 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.uniquepid, t2.diagnosistime FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'valvular stenosis' GROUP BY patient.uniquepid HAVING MIN(diagnosis.diagnosistime) = diagnosis.diagnosistime) AS t1) AS t2 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'potassium chloride crys er 20 meq po tbcr') AS t3 ON t2.uniquepid = t3.uniquepid WHERE t2.diagnosistime < t3.drugstarttime) AS t4 JOIN patient ON t4.uniquepid = patient.uniquepid
|
eicu
|
CREATE TABLE table_name_43 (
player VARCHAR,
team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What player is from the Denver Broncos?
|
SELECT player FROM table_name_43 WHERE team = "denver broncos"
|
sql_create_context
|
CREATE TABLE table_74885 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the date for score of 1-5
|
SELECT "Date" FROM table_74885 WHERE "Score" = '1-5'
|
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 records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the sum of price , and group by attribute name, could you sort in ascending by the y axis?
|
SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Price
|
nvbench
|
CREATE TABLE table_train_26 (
"id" int,
"gender" string,
"pregnancy_or_lactation" bool,
"allergy_to_penicillin" bool,
"active_infection" bool,
"allergy_to_cephalosporin" bool,
"receiving_anticoagulants" bool,
"age" float,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- receiving oral or subcutaneous anticoagulants
|
SELECT * FROM table_train_26 WHERE receiving_anticoagulants = 1
|
criteria2sql
|
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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
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 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 cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was patient 004-11043's last intake time of per iv flush: forearm r 20 gauge?
|
SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-11043')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'per iv flush: forearm r 20 gauge' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1
|
eicu
|
CREATE TABLE genre (
g_name varchar2(20),
rating varchar2(10),
most_popular_in varchar2(50)
)
CREATE TABLE files (
f_id number(10),
artist_name varchar2(50),
file_size varchar2(20),
duration varchar2(20),
formats varchar2(20)
)
CREATE TABLE song (
song_name varchar2(50),
artist_name varchar2(50),
country varchar2(20),
f_id number(10),
genre_is varchar2(20),
rating number(10),
languages varchar2(20),
releasedate Date,
resolution number(10)
)
CREATE TABLE artist (
artist_name varchar2(50),
country varchar2(20),
gender varchar2(20),
preferred_genre varchar2(50)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average song rating for each language Plot them as bar chart, order by the mean rating in ascending please.
|
SELECT languages, AVG(rating) FROM song GROUP BY languages ORDER BY AVG(rating)
|
nvbench
|
CREATE TABLE airport (
Airport_ID int,
Airport_Name text,
Total_Passengers real,
%_Change_2007 text,
International_Passengers real,
Domestic_Passengers real,
Transit_Passengers real,
Aircraft_Movements real,
Freight_Metric_Tonnes real
)
CREATE TABLE airport_aircraft (
ID int,
Airport_ID int,
Aircraft_ID int
)
CREATE TABLE match (
Round real,
Location text,
Country text,
Date text,
Fastest_Qualifying text,
Winning_Pilot text,
Winning_Aircraft text
)
CREATE TABLE pilot (
Pilot_Id int(11),
Name varchar(50),
Age int(11)
)
CREATE TABLE aircraft (
Aircraft_ID int(11),
Aircraft varchar(50),
Description varchar(50),
Max_Gross_Weight varchar(50),
Total_disk_area varchar(50),
Max_disk_Loading varchar(50)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Please list the number of each winning aircraft in a bar chart, and rank in asc by the y-axis.
|
SELECT Aircraft, COUNT(Aircraft) FROM aircraft AS T1 JOIN match AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY Aircraft ORDER BY COUNT(Aircraft)
|
nvbench
|
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the minimum creatinine value for patient 87232 in this hospital visit.
|
SELECT MIN(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 87232 AND admissions.dischtime IS NULL) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'creatinine')
|
mimic_iii
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE 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
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is average age of patients whose marital status is single and ethnicity is american indian/alaska native?
|
SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE"
|
mimicsql_data
|
CREATE TABLE table_name_60 (
points INTEGER,
entrant VARCHAR,
chassis VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was marlboro brm's lowest points by using brm p160b?
|
SELECT MIN(points) FROM table_name_60 WHERE entrant = "marlboro brm" AND chassis = "brm p160b"
|
sql_create_context
|
CREATE TABLE table_name_74 (
net_power VARCHAR,
type VARCHAR,
finish_construction VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the net power, when the type was wwer-440/230, and when construction was finished on 24.10.1977?
|
SELECT net_power FROM table_name_74 WHERE type = "wwer-440/230" AND finish_construction = "24.10.1977"
|
sql_create_context
|
CREATE TABLE table_26177 (
"Neighbourhood" text,
"% 0-19" text,
"% 20-39" text,
"% 40-59" text,
"% 60-74" text,
"% 75 +" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is every value for % 40-59 if % 60-74 is 12,42%?
|
SELECT "% 40-59" FROM table_26177 WHERE "% 60-74" = '12,42%'
|
wikisql
|
CREATE TABLE table_name_14 (
attendance INTEGER,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average attendance that has april 12 as the date?
|
SELECT AVG(attendance) FROM table_name_14 WHERE date = "april 12"
|
sql_create_context
|
CREATE TABLE table_18638 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Result" text,
"Candidates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many incumbents were first elected in 1930?
|
SELECT COUNT("Party") FROM table_18638 WHERE "First elected" = '1930'
|
wikisql
|
CREATE TABLE table_name_30 (
function__figure_ VARCHAR,
real_name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What role did Jean-Luc Bouvier serve?
|
SELECT function__figure_ FROM table_name_30 WHERE real_name = "jean-luc bouvier"
|
sql_create_context
|
CREATE TABLE table_name_73 (
year VARCHAR,
league VARCHAR,
malaysia_cup VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What year was the League the malaysian super league, and a Malaysia Cup of group stage?
|
SELECT year FROM table_name_73 WHERE league = "malaysian super league" AND malaysia_cup = "group stage"
|
sql_create_context
|
CREATE TABLE table_204_397 (
id number,
"rank" text,
"team" text,
"athletes" text,
"run 1" text,
"run 2" text,
"run 3" text,
"run 4" text,
"final" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what team came out on top ?
|
SELECT "team" FROM table_204_397 WHERE id = 1
|
squall
|
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text,
t_kc21_CLINIC_ID text,
t_kc21_CLINIC_TYPE text,
t_kc21_COMP_ID text,
t_kc21_DATA_ID text,
t_kc21_DIFF_PLACE_FLG number,
t_kc21_FERTILITY_STS number,
t_kc21_FLX_MED_ORG_ID text,
t_kc21_HOSP_LEV number,
t_kc21_HOSP_STS number,
t_kc21_IDENTITY_CARD text,
t_kc21_INPT_AREA_BED text,
t_kc21_INSURED_IDENTITY number,
t_kc21_INSURED_STS text,
t_kc21_INSU_TYPE text,
t_kc21_IN_DIAG_DIS_CD text,
t_kc21_IN_DIAG_DIS_NM text,
t_kc21_IN_HOSP_DATE time,
t_kc21_IN_HOSP_DAYS number,
t_kc21_MAIN_COND_DES text,
t_kc21_MED_AMOUT number,
t_kc21_MED_ORG_DEPT_CD text,
t_kc21_MED_ORG_DEPT_NM text,
t_kc21_MED_SER_ORG_NO text,
t_kc21_MED_TYPE number,
t_kc21_OUT_DIAG_DIS_CD text,
t_kc21_OUT_DIAG_DIS_NM text,
t_kc21_OUT_DIAG_DOC_CD text,
t_kc21_OUT_DIAG_DOC_NM text,
t_kc21_OUT_HOSP_DATE time,
t_kc21_OVERALL_CD_ORG text,
t_kc21_OVERALL_CD_PERSON text,
t_kc21_PERSON_AGE number,
t_kc21_PERSON_ID text,
t_kc21_PERSON_NM text,
t_kc21_PERSON_SEX number,
t_kc21_REIMBURSEMENT_FLG number,
t_kc21_REMOTE_SETTLE_FLG text,
t_kc21_SERVANT_FLG text,
t_kc21_SOC_SRT_CARD text,
t_kc21_SYNC_TIME time,
t_kc21_TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 列出患者蒋天干在00年8月12日到15年1月13日内被开出的所有药品的清单，清单内容包括药物的编码、名称、数量、单价和金额
|
SELECT t_kc22.SOC_SRT_DIRE_CD, t_kc22.SOC_SRT_DIRE_NM, t_kc22.QTY, t_kc22.UNIVALENT, t_kc22.AMOUNT FROM t_kc22 WHERE t_kc22.t_kc21_PERSON_NM = '蒋天干' AND t_kc22.t_kc21_IN_HOSP_DATE BETWEEN '2000-08-12' AND '2015-01-13'
|
css
|
CREATE TABLE table_14494 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total rank with a Nation of gotland, and a Gold larger than 23?
|
SELECT COUNT("Rank") FROM table_14494 WHERE "Nation" = 'gotland' AND "Gold" > '23'
|
wikisql
|
CREATE TABLE table_name_51 (
writer_s_ VARCHAR,
episode VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who wrote Episode 2-15 (56)?
|
SELECT writer_s_ FROM table_name_51 WHERE episode = "2-15 (56)"
|
sql_create_context
|
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE 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 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 equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description 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 flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
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 time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note 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 code_description (
code varchar,
description text
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- list nonstop flights from BALTIMORE to NEWARK on wednesday before 1200
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time < 1200 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'NEWARK' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.stops = 0
|
atis
|
CREATE TABLE table_name_55 (
points INTEGER,
position VARCHAR,
played VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the average points when position is more than 5 and played is less than 10?
|
SELECT AVG(points) FROM table_name_55 WHERE position > 5 AND played < 10
|
sql_create_context
|
CREATE TABLE table_28626 (
"Rank" real,
"Couple" text,
"Judges" real,
"Public" real,
"Total" real,
"Vote percentage" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What couple had a total of 8?
|
SELECT "Couple" FROM table_28626 WHERE "Total" = '8'
|
wikisql
|
CREATE TABLE files (
f_id number(10),
artist_name varchar2(50),
file_size varchar2(20),
duration varchar2(20),
formats varchar2(20)
)
CREATE TABLE song (
song_name varchar2(50),
artist_name varchar2(50),
country varchar2(20),
f_id number(10),
genre_is varchar2(20),
rating number(10),
languages varchar2(20),
releasedate Date,
resolution number(10)
)
CREATE TABLE genre (
g_name varchar2(20),
rating varchar2(10),
most_popular_in varchar2(50)
)
CREATE TABLE artist (
artist_name varchar2(50),
country varchar2(20),
gender varchar2(20),
preferred_genre varchar2(50)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me a bar chart for what is the average song rating for each language?, and list from low to high by the y axis.
|
SELECT languages, AVG(rating) FROM song GROUP BY languages ORDER BY AVG(rating)
|
nvbench
|
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 02年4月26日开始截止到08年6月23日医疗机构1165324就诊记录里保险类型是儿童的记录总量
|
SELECT COUNT(*) FROM t_kc21 WHERE t_kc21.MED_SER_ORG_NO = '1165324' AND t_kc21.IN_HOSP_DATE BETWEEN '2002-04-26' AND '2008-06-23' AND t_kc21.INSU_TYPE = '儿童'
|
css
|
CREATE TABLE table_name_15 (
scores_by_each_individual_judge VARCHAR,
status VARCHAR,
date_performed VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Scores by each individual judge has a Status of eliminated, and a Date performed of august 13?
|
SELECT scores_by_each_individual_judge FROM table_name_15 WHERE status = "eliminated" AND date_performed = "august 13"
|
sql_create_context
|
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
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose diagnoses short title is chrnc hpt c wo hpat coma and drug type is main?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Chrnc hpt C wo hpat coma" AND prescriptions.drug_type = "MAIN"
|
mimicsql_data
|
CREATE TABLE Claims (
Claim_ID INTEGER,
Policy_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER
)
CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_Details VARCHAR(255)
)
CREATE TABLE Customer_Policies (
Policy_ID INTEGER,
Customer_ID INTEGER,
Policy_Type_Code CHAR(15),
Start_Date DATE,
End_Date DATE
)
CREATE TABLE Settlements (
Settlement_ID INTEGER,
Claim_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER,
Customer_Policy_ID INTEGER
)
CREATE TABLE Payments (
Payment_ID INTEGER,
Settlement_ID INTEGER,
Payment_Method_Code VARCHAR(255),
Date_Payment_Made DATE,
Amount_Payment INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many settlements does each claim correspond to? List the claim id and the number of settlements with a scatter chart.
|
SELECT T1.Claim_ID, COUNT(*) FROM Claims AS T1 JOIN Settlements AS T2 ON T1.Claim_ID = T2.Claim_ID GROUP BY T1.Claim_ID
|
nvbench
|
CREATE TABLE table_52857 (
"Station Number" text,
"District" text,
"Location" text,
"Type" text,
"Appliances" text,
"Registrations" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the location of the station at Huntingdonshire with a station number of c17?
|
SELECT "Location" FROM table_52857 WHERE "District" = 'huntingdonshire' AND "Station Number" = 'c17'
|
wikisql
|
CREATE TABLE player (
POSITION VARCHAR,
name VARCHAR,
Points INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List the position of players with average number of points scored by players of that position bigger than 20.
|
SELECT POSITION FROM player GROUP BY name HAVING AVG(Points) >= 20
|
sql_create_context
|
CREATE TABLE Rooms (
RoomId TEXT,
roomName TEXT,
beds INTEGER,
bedType TEXT,
maxOccupancy INTEGER,
basePrice INTEGER,
decor TEXT
)
CREATE TABLE Reservations (
Code INTEGER,
Room TEXT,
CheckIn TEXT,
CheckOut TEXT,
Rate REAL,
LastName TEXT,
FirstName TEXT,
Adults INTEGER,
Kids INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average base price of rooms, for each bed type Plot them as bar chart, and order by the bedType in desc.
|
SELECT bedType, AVG(basePrice) FROM Rooms GROUP BY bedType ORDER BY bedType DESC
|
nvbench
|
CREATE TABLE table_68650 (
"Tournament" text,
"2003" text,
"2007" text,
"2008" text,
"2009" text,
"2011" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the 2003 value with 2r in 2008 and 1r in 2011?
|
SELECT "2003" FROM table_68650 WHERE "2008" = '2r' AND "2011" = '1r'
|
wikisql
|
CREATE TABLE table_73830 (
"Settlement" text,
"Cyrillic Name Other Names" text,
"Type" text,
"Population (2011)" text,
"Largest ethnic group (2002)" text,
"Dominant religion (2002)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- The population is 2,107's dominant religion is?
|
SELECT "Dominant religion (2002)" FROM table_73830 WHERE "Population (2011)" = '2,107'
|
wikisql
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is primary disease and procedure long title of subject name chandra schulman?
|
SELECT demographic.diagnosis, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Chandra Schulman"
|
mimicsql_data
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.