instruction
stringlengths 151
7.46k
| output
stringlengths 2
4.44k
| source
stringclasses 26
values |
|---|---|---|
CREATE TABLE table_203_191 (
id number,
"year" number,
"group" text,
"award" text,
"result" text,
"notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the only award in 1994 ?
|
SELECT "award" FROM table_203_191 WHERE "year" = 1994
|
squall
|
CREATE TABLE table_78837 (
"Class" text,
"Number(s)" text,
"Quantity" real,
"Year(s) of Manufacture" text,
"Type" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Year(s) of Manufacture has a Quantity larger than 60, and a Number(s) of 7001 7165?
|
SELECT "Year(s) of Manufacture" FROM table_78837 WHERE "Quantity" > '60' AND "Number(s)" = '7001–7165'
|
wikisql
|
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId 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 PostTypes (
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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE 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 PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostHistoryTypes (
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 ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE 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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Display all comments of a given user.
|
SELECT Comments.Text FROM Comments WHERE Comments.UserId = @UserId
|
sede
|
CREATE TABLE College (
cName varchar(20),
state varchar(2),
enr numeric(5,0)
)
CREATE TABLE Tryout (
pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3)
)
CREATE TABLE Player (
pID numeric(5,0),
pName varchar(20),
yCard varchar(3),
HS numeric(5,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Return a bar chart on how many students participated in tryouts for each college by descennding count?
|
SELECT cName, COUNT(*) FROM Tryout GROUP BY cName ORDER BY COUNT(*) DESC
|
nvbench
|
CREATE TABLE track (
track_id number,
name text,
location text,
seating number,
year_opened number
)
CREATE TABLE race (
race_id number,
name text,
class text,
date text,
track_id text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the name, location, open year for all tracks with a seating higher than the average.
|
SELECT name, location, year_opened FROM track WHERE seating > (SELECT AVG(seating) FROM track)
|
spider
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is gender and admission time of subject id 84129?
|
SELECT demographic.gender, demographic.admittime FROM demographic WHERE demographic.subject_id = "84129"
|
mimicsql_data
|
CREATE TABLE table_22720 (
"interval name" text,
"size (steps)" real,
"size (cents)" real,
"just ratio" text,
"just (cents)" text,
"error" text,
"audio" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the just cents is 701.96, what is the interval name?
|
SELECT "interval name" FROM table_22720 WHERE "just (cents)" = '701.96'
|
wikisql
|
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE wdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
YLJGDM number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE bdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
YLJGDM number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 94947569717住院就诊中，出院科室的代码和名称分别是什么
|
SELECT wdmzjzjlb.CYKSDM, wdmzjzjlb.CYKSMC FROM wdmzjzjlb WHERE wdmzjzjlb.JZLSH = '94947569717' UNION SELECT bdmzjzjlb.CYKSDM, bdmzjzjlb.CYKSMC FROM bdmzjzjlb WHERE bdmzjzjlb.JZLSH = '94947569717'
|
css
|
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
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 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 SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 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 ReviewTaskTypes (
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 PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- SELECT TOP 100 DisplayName FROM Users WHERE Location='Russia' and Reputation=(select max(Reputation.
|
SELECT DisplayName, LastAccessDate, WebsiteUrl, AboutMe FROM Users WHERE Location = 'Russia' ORDER BY Reputation LIMIT 100
|
sede
|
CREATE TABLE table_36513 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What score was on July 25?
|
SELECT "Score" FROM table_36513 WHERE "Date" = 'july 25'
|
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,
t_kc21_CLINIC_ID text,
t_kc21_CLINIC_TYPE text,
t_kc21_COMP_ID text,
t_kc21_DATA_ID text,
t_kc21_DIFF_PLACE_FLG number,
t_kc21_FERTILITY_STS number,
t_kc21_FLX_MED_ORG_ID text,
t_kc21_HOSP_LEV number,
t_kc21_HOSP_STS number,
t_kc21_IDENTITY_CARD text,
t_kc21_INPT_AREA_BED text,
t_kc21_INSURED_IDENTITY number,
t_kc21_INSURED_STS text,
t_kc21_INSU_TYPE text,
t_kc21_IN_DIAG_DIS_CD text,
t_kc21_IN_DIAG_DIS_NM text,
t_kc21_IN_HOSP_DATE time,
t_kc21_IN_HOSP_DAYS number,
t_kc21_MAIN_COND_DES text,
t_kc21_MED_AMOUT number,
t_kc21_MED_ORG_DEPT_CD text,
t_kc21_MED_ORG_DEPT_NM text,
t_kc21_MED_SER_ORG_NO text,
t_kc21_MED_TYPE number,
t_kc21_OUT_DIAG_DIS_CD text,
t_kc21_OUT_DIAG_DIS_NM text,
t_kc21_OUT_DIAG_DOC_CD text,
t_kc21_OUT_DIAG_DOC_NM text,
t_kc21_OUT_HOSP_DATE time,
t_kc21_OVERALL_CD_ORG text,
t_kc21_OVERALL_CD_PERSON text,
t_kc21_PERSON_AGE number,
t_kc21_PERSON_ID text,
t_kc21_PERSON_NM text,
t_kc21_PERSON_SEX number,
t_kc21_REIMBURSEMENT_FLG number,
t_kc21_REMOTE_SETTLE_FLG text,
t_kc21_SERVANT_FLG text,
t_kc21_SOC_SRT_CARD text,
t_kc21_SYNC_TIME time,
t_kc21_TRADE_TYPE number
)
CREATE TABLE t_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.
-- 那个11103457号的病患在看病过程中被开出的药品都少于9690.79元的医疗就诊编号是多少？
|
SELECT t_kc22.MED_CLINIC_ID FROM t_kc22 WHERE t_kc22.t_kc21_PERSON_ID = '11103457' AND NOT t_kc22.MED_CLINIC_ID IN (SELECT t_kc22.MED_CLINIC_ID FROM t_kc22 WHERE t_kc22.AMOUNT > 9690.79)
|
css
|
CREATE TABLE Flight (
departure_date VARCHAR,
arrival_date VARCHAR,
origin VARCHAR,
destination VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me the departure date and arrival date for all flights from Los Angeles to Honolulu.
|
SELECT departure_date, arrival_date FROM Flight WHERE origin = "Los Angeles" AND destination = "Honolulu"
|
sql_create_context
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, return a bar chart about the distribution of job_id and the sum of employee_id , and group by attribute job_id, order in desc by the y axis.
|
SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY SUM(EMPLOYEE_ID) DESC
|
nvbench
|
CREATE TABLE medication (
code number,
name text,
brand text,
description text
)
CREATE TABLE on_call (
nurse number,
blockfloor number,
blockcode number,
oncallstart time,
oncallend time
)
CREATE TABLE affiliated_with (
physician number,
department number,
primaryaffiliation boolean
)
CREATE TABLE nurse (
employeeid number,
name text,
position text,
registered boolean,
ssn number
)
CREATE TABLE department (
departmentid number,
name text,
head number
)
CREATE TABLE undergoes (
patient number,
procedures number,
stay number,
dateundergoes time,
physician number,
assistingnurse number
)
CREATE TABLE patient (
ssn number,
name text,
address text,
phone text,
insuranceid number,
pcp number
)
CREATE TABLE trained_in (
physician number,
treatment number,
certificationdate time,
certificationexpires time
)
CREATE TABLE prescribes (
physician number,
patient number,
medication number,
date time,
appointment number,
dose text
)
CREATE TABLE stay (
stayid number,
patient number,
room number,
staystart time,
stayend time
)
CREATE TABLE room (
roomnumber number,
roomtype text,
blockfloor number,
blockcode number,
unavailable boolean
)
CREATE TABLE block (
blockfloor number,
blockcode number
)
CREATE TABLE appointment (
appointmentid number,
patient number,
prepnurse number,
physician number,
start time,
end time,
examinationroom text
)
CREATE TABLE procedures (
code number,
name text,
cost number
)
CREATE TABLE physician (
employeeid number,
name text,
position text,
ssn number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the distinct names of nurses on call?
|
SELECT DISTINCT T1.name FROM nurse AS T1 JOIN on_call AS T2 ON T1.employeeid = T2.nurse
|
spider
|
CREATE TABLE table_11781 (
"Number" text,
"Type" text,
"Seating" text,
"Diagram no" real,
"Lot no." real,
"Weight" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which vehicle has a Diagram of 516 or smaller, and a driving motor brake second (dmbs) type.
|
SELECT "Seating" FROM table_11781 WHERE "Diagram no" > '516' AND "Type" = 'driving motor brake second (dmbs)'
|
wikisql
|
CREATE TABLE table_30121075_1 (
area__acres__ VARCHAR,
poor_law_union VARCHAR,
townland VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the area when the poor law union is skibbereen and the townland is knockmore?
|
SELECT area__acres__ FROM table_30121075_1 WHERE poor_law_union = "Skibbereen" AND townland = "Knockmore"
|
sql_create_context
|
CREATE TABLE table_name_64 (
Id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the 2005 result when 2001 is sf?
|
SELECT 2005 FROM table_name_64 WHERE 2001 = "sf"
|
sql_create_context
|
CREATE TABLE table_63213 (
"Model number" text,
"sSpec number" text,
"Cores" text,
"Frequency" text,
"Turbo" text,
"L2 cache" text,
"L3 cache" text,
"GPU model" text,
"GPU frequency" text,
"Socket" text,
"I/O bus" text,
"Release date" text,
"Part number(s)" text,
"Release price ( USD )" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many cores does the processor released in April 2012 with a price of $393 and part number av8063801117503 have?
|
SELECT "Cores" FROM table_63213 WHERE "Release date" = 'april 2012' AND "Release price ( USD )" = '$393' AND "Part number(s)" = 'av8063801117503'
|
wikisql
|
CREATE TABLE table_16243 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Featured character(s)" text,
"Original air date" text,
"U.S. viewers (million)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest no. in season?
|
SELECT MAX("No. in season") FROM table_16243
|
wikisql
|
CREATE TABLE table_name_87 (
total INTEGER,
bronze VARCHAR,
silver VARCHAR,
nation VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the smallest number of total medals for Georgia with 0 silver and 1 bronze?
|
SELECT MIN(total) FROM table_name_87 WHERE silver > 0 AND nation = "georgia" AND bronze < 1
|
sql_create_context
|
CREATE TABLE table_10359 (
"Catalogue Number" text,
"Artist" text,
"Tracks" text,
"Type" text,
"Year" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the type of disc by Logistics after 2004?
|
SELECT "Type" FROM table_10359 WHERE "Year" > '2004' AND "Artist" = 'logistics'
|
wikisql
|
CREATE TABLE Addresses (
address_id INTEGER,
line_1 VARCHAR(120),
line_2 VARCHAR(120),
line_3 VARCHAR(120),
city VARCHAR(80),
zip_postcode VARCHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50),
other_address_details VARCHAR(255)
)
CREATE TABLE Behavior_Incident (
incident_id INTEGER,
incident_type_code VARCHAR(10),
student_id INTEGER,
date_incident_start DATETIME,
date_incident_end DATETIME,
incident_summary VARCHAR(255),
recommendations VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Students_in_Detention (
student_id INTEGER,
detention_id INTEGER,
incident_id INTEGER
)
CREATE TABLE Ref_Address_Types (
address_type_code VARCHAR(15),
address_type_description VARCHAR(80)
)
CREATE TABLE Students (
student_id INTEGER,
address_id INTEGER,
first_name VARCHAR(80),
middle_name VARCHAR(40),
last_name VARCHAR(40),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
date_first_rental DATETIME,
date_left_university DATETIME,
other_student_details VARCHAR(255)
)
CREATE TABLE Assessment_Notes (
notes_id INTEGER,
student_id INTEGER,
teacher_id INTEGER,
date_of_notes DATETIME,
text_of_notes VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Student_Addresses (
student_id INTEGER,
address_id INTEGER,
date_address_from DATETIME,
date_address_to DATETIME,
monthly_rental DECIMAL(19,4),
other_details VARCHAR(255)
)
CREATE TABLE Teachers (
teacher_id INTEGER,
address_id INTEGER,
first_name VARCHAR(80),
middle_name VARCHAR(80),
last_name VARCHAR(80),
gender VARCHAR(1),
cell_mobile_number VARCHAR(40),
email_address VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Incident_Type (
incident_type_code VARCHAR(10),
incident_type_description VARCHAR(80)
)
CREATE TABLE Ref_Detention_Type (
detention_type_code VARCHAR(10),
detention_type_description VARCHAR(80)
)
CREATE TABLE Detention (
detention_id INTEGER,
detention_type_code VARCHAR(10),
teacher_id INTEGER,
datetime_detention_start DATETIME,
datetime_detention_end DATETIME,
detention_summary VARCHAR(255),
other_details VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me the comparison about the sum of monthly_rental over the date_address_to bin date_address_to by weekday.
|
SELECT date_address_to, SUM(monthly_rental) FROM Student_Addresses ORDER BY monthly_rental DESC
|
nvbench
|
CREATE TABLE table_23105 (
"Season #" real,
"Episode #" real,
"Title" text,
"Director(s)" text,
"Writer(s)" text,
"Original Air Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the highest season number?
|
SELECT MAX("Season #") FROM table_23105
|
wikisql
|
CREATE TABLE table_19242 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Ground" text,
"Crowd" real,
"Date" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who played Richmond at home?
|
SELECT "Home team" FROM table_19242 WHERE "Away team" = 'Richmond'
|
wikisql
|
CREATE TABLE table_178399_1 (
parish__prestegjeld_ VARCHAR,
year_built VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the parish for 1908
|
SELECT parish__prestegjeld_ FROM table_178399_1 WHERE year_built = 1908
|
sql_create_context
|
CREATE TABLE table_24280 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which player plays for the Winnipeg Blue Bombers?
|
SELECT "Player" FROM table_24280 WHERE "CFL Team" = 'Winnipeg Blue Bombers'
|
wikisql
|
CREATE TABLE table_16039 (
"Character" text,
"1954 Broadway" text,
"1955 broadcast" text,
"1960 broadcast" text,
"1979 Broadway" text,
"1990 Broadway" text,
"1991 Broadway" text,
"1998 Broadway" text,
"1999 Broadway" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who played in the 1991 Broadway before Barbara McCulloh played the part in the 1999 Broadway?
|
SELECT "1991 Broadway" FROM table_16039 WHERE "1999 Broadway" = 'Barbara McCulloh'
|
wikisql
|
CREATE TABLE table_name_67 (
years VARCHAR,
decile VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the years when decile was less than 7 for waitoa school
|
SELECT years FROM table_name_67 WHERE decile < 7 AND name = "waitoa school"
|
sql_create_context
|
CREATE TABLE table_name_57 (
home_team VARCHAR,
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What home team played Fitzroy?
|
SELECT home_team FROM table_name_57 WHERE away_team = "fitzroy"
|
sql_create_context
|
CREATE TABLE table_46336 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who made the decision when detroit was the home team and boston was the visitor?
|
SELECT "Decision" FROM table_46336 WHERE "Home" = 'detroit' AND "Visitor" = 'boston'
|
wikisql
|
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE 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 inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name 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 labevents (
row_id number,
subject_id number,
hadm_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 diagnoses_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 d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- whats the unabbreviated version of tox ef hydrocarb gas nec.
|
SELECT d_icd_diagnoses.long_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'tox ef hydrocarb gas nec' UNION SELECT d_icd_procedures.long_title FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'tox ef hydrocarb gas nec'
|
mimic_iii
|
CREATE TABLE gwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE fgwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者26072107在编号为2159880的这个医院的就诊记录中，开出的单价最贵的药是什么？把药品的编码和名称及其单价分别列出来
|
SELECT t_kc22.SOC_SRT_DIRE_CD, t_kc22.SOC_SRT_DIRE_NM, t_kc22.UNIVALENT FROM t_kc22 WHERE t_kc22.MED_CLINIC_ID IN (SELECT gwyjzb.MED_CLINIC_ID FROM gwyjzb WHERE gwyjzb.PERSON_ID = '26072107' AND gwyjzb.MED_SER_ORG_NO = '2159880' UNION SELECT fgwyjzb.MED_CLINIC_ID FROM fgwyjzb WHERE fgwyjzb.PERSON_ID = '26072107' AND fgwyjzb.MED_SER_ORG_NO = '2159880') ORDER BY t_kc22.UNIVALENT DESC LIMIT 1
|
css
|
CREATE TABLE table_45653 (
"Class" text,
"Team" text,
"Driver" text,
"Chassis \u2013 Engine" text,
"Laps" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many Laps did Team Primagaz Competition have?
|
SELECT "Laps" FROM table_45653 WHERE "Team" = 'primagaz competition'
|
wikisql
|
CREATE TABLE table_47852 (
"Driver" text,
"Team" text,
"Laps" real,
"Time/Retired" text,
"Grid" real,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- HOW MANY POINTS DOES ALEX SPERAFICO HAVE WITH A GRID LARGER THAN 17?
|
SELECT MIN("Points") FROM table_47852 WHERE "Driver" = 'alex sperafico' AND "Grid" > '17'
|
wikisql
|
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
zyjzjlb_id number
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE hz_info_zyjzjlb (
JZLSH number,
YLJGDM number,
zyjzjlb_id number
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 杨纳兰这名患者都有过什么住院诊断
|
SELECT zyjzjlb.ZYZDBM, zyjzjlb.ZYZDMC FROM person_info JOIN hz_info JOIN zyjzjlb JOIN hz_info_zyjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = hz_info_zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND hz_info_zyjzjlb.JZLSH = zyjzjlb.JZLSH AND hz_info_zyjzjlb.YLJGDM = hz_info_zyjzjlb.YLJGDM AND hz_info_zyjzjlb.JZLSH = zyjzjlb.JZLSH AND hz_info_zyjzjlb.zyjzjlb_id = zyjzjlb.zyjzjlb_id WHERE person_info.XM = '杨纳兰'
|
css
|
CREATE TABLE table_1295 (
"Country" text,
"Uranium required 2006-08" text,
"% of world demand" text,
"Indigenous mining production 2006" text,
"Deficit (-surplus)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How much uranium did Russia use in 2006 to 2008?
|
SELECT "Uranium required 2006-08" FROM table_1295 WHERE "Country" = 'Russia'
|
wikisql
|
CREATE TABLE scientists (
Name VARCHAR,
ssn VARCHAR,
scientist VARCHAR
)
CREATE TABLE AssignedTo (
Name VARCHAR,
ssn VARCHAR,
scientist VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the name of scientists who are not assigned to any project.
|
SELECT Name FROM scientists WHERE NOT ssn IN (SELECT scientist FROM AssignedTo)
|
sql_create_context
|
CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
)
CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For all storms with at least 1 death, compare the number of deaths by dates active with a bar graph, and could you rank by the y-axis in asc?
|
SELECT Dates_active, Number_Deaths FROM storm WHERE Number_Deaths >= 1 ORDER BY Number_Deaths
|
nvbench
|
CREATE TABLE table_name_44 (
total INTEGER,
rank VARCHAR,
bronze VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How much Total has a Rank of 5, and a Bronze larger than 3?
|
SELECT SUM(total) FROM table_name_44 WHERE rank = "5" AND bronze > 3
|
sql_create_context
|
CREATE TABLE table_name_33 (
barrel_twist VARCHAR,
stock VARCHAR,
hand_guards VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Barrel twist has a Stock of canadian 3rd generation and a Hand guards of short ribbed?
|
SELECT barrel_twist FROM table_name_33 WHERE stock = "canadian 3rd generation" AND hand_guards = "short ribbed"
|
sql_create_context
|
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_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_ID number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 想知道医疗就诊33468513439的要住多久院
|
SELECT t_kc21.IN_HOSP_DAYS FROM t_kc21 WHERE t_kc21.MED_CLINIC_ID = '33468513439'
|
css
|
CREATE TABLE table_75957 (
"Tournament" text,
"2006" text,
"2009" text,
"2012" text,
"2013" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Tournament when the 2013 is 2r, and a 2006 is 1r?
|
SELECT "Tournament" FROM table_75957 WHERE "2013" = '2r' AND "2006" = '1r'
|
wikisql
|
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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients with s/p fall primary disease who had cerebrospinal fluid lab test?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "S/P FALL" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
|
mimicsql_data
|
CREATE TABLE table_204_4 (
id number,
"date" text,
"race" text,
"competition" text,
"rider" text,
"country" text,
"location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what are the total amount of times italy appears on this chart ?
|
SELECT COUNT(*) FROM table_204_4 WHERE "country" = 'italy'
|
squall
|
CREATE TABLE table_name_25 (
total VARCHAR,
gold VARCHAR,
rank VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the number of total for 3 gold and rank less than 3
|
SELECT COUNT(total) FROM table_name_25 WHERE gold = 3 AND rank < 3
|
sql_create_context
|
CREATE TABLE table_10747 (
"Date" text,
"Name" text,
"Flag" text,
"Tonnage (GRT)" real,
"Sunk by" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the flag for Terkoeli?
|
SELECT "Flag" FROM table_10747 WHERE "Name" = 'terkoeli'
|
wikisql
|
CREATE TABLE player (
player_id number,
player text,
years_played text,
total_wl text,
singles_wl text,
doubles_wl text,
team number
)
CREATE TABLE match_season (
season number,
player text,
position text,
country number,
team number,
draft_pick_number number,
draft_class text,
college text
)
CREATE TABLE country (
country_id number,
country_name text,
capital text,
official_native_language text
)
CREATE TABLE team (
team_id number,
name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who are the players from Indonesia?
|
SELECT T2.player FROM country AS T1 JOIN match_season AS T2 ON T1.country_id = T2.country WHERE T1.country_name = "Indonesia"
|
spider
|
CREATE TABLE table_66889 (
"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 average silver for a rank less than 8, were there were no more than 4 bronze and 12 in total?
|
SELECT AVG("Silver") FROM table_66889 WHERE "Rank" < '8' AND "Total" = '12' AND "Bronze" < '4'
|
wikisql
|
CREATE TABLE table_19897896_7 (
season VARCHAR,
position VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- in which season the position was center
|
SELECT season FROM table_19897896_7 WHERE position = "Center"
|
sql_create_context
|
CREATE TABLE table_name_44 (
winner_nominee_s_ VARCHAR,
result VARCHAR,
film VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is nominated for the film Rugrats Go Wild?
|
SELECT winner_nominee_s_ FROM table_name_44 WHERE result = "nominated" AND film = "rugrats go wild"
|
sql_create_context
|
CREATE TABLE table_203_221 (
id number,
"name" text,
"nationality" text,
"matches played" number,
"goals scored" number,
"notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who has scored more goals than any other melbourne player ?
|
SELECT "name" FROM table_203_221 ORDER BY "goals scored" DESC LIMIT 1
|
squall
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many white patients were diagnosed under icd9 code 7660?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.icd9_code = "7660"
|
mimicsql_data
|
CREATE TABLE table_36568 (
"Outcome" text,
"Tournament" text,
"Surface" text,
"Opponent" text,
"Score" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which tournament included an opponent of Marinko Matosevic?
|
SELECT "Tournament" FROM table_36568 WHERE "Opponent" = 'marinko matosevic'
|
wikisql
|
CREATE TABLE table_name_87 (
steals VARCHAR,
rebounds VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the leader in Steals when Travis Watson (9) was the leader in Rebounds?
|
SELECT steals FROM table_name_87 WHERE rebounds = "travis watson (9)"
|
sql_create_context
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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.
-- how many patients were admitted before the year 2121 whose lab test category was hematology ?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2121" AND lab."CATEGORY" = "Hematology"
|
mimicsql_data
|
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE area (
course_id int,
area varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me some Design Science Colloquium courses with 8 credits .
|
SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Design Science Colloquium%' OR name LIKE '%Design Science Colloquium%') AND credits = 8
|
advising
|
CREATE TABLE table_25479607_3 (
fixed_charge___rs__kwh_ VARCHAR,
tariff___rs__kwh_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the fixed charge for the user who had a tariff of 11.30?
|
SELECT fixed_charge___rs__kwh_ FROM table_25479607_3 WHERE tariff___rs__kwh_ = "11.30"
|
sql_create_context
|
CREATE TABLE table_name_50 (
date VARCHAR,
location VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tell me the date for warsaw 1929
|
SELECT date FROM table_name_50 WHERE location = "warsaw" AND year = 1929
|
sql_create_context
|
CREATE TABLE football_data (
season text,
datetime time,
div text,
country text,
league text,
referee text,
hometeam text,
awayteam text,
fthg number,
ftag number,
ftr text,
hthg number,
htag number,
htr text,
psh number,
psd number,
psa number,
b365h number,
b365d number,
b365a number,
lbh number,
lbd number,
lba number,
bwh number,
bwd number,
bwa number
)
CREATE TABLE betfront (
year number,
datetime time,
country text,
competion text,
match text,
home_opening number,
draw_opening number,
away_opening number,
home_closing number,
draw_closing number,
away_closing number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the odds for draw on Bet365 for the game Swindon v.s. Millwall for 2016/2017 season?
|
SELECT b365d FROM football_data WHERE hometeam = "Swindon" AND awayteam = "Millwall" AND season = "2016/2017"
|
worldsoccerdatabase
|
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- has ever been the sao2 of patient 002-2584 been ever greater than 94.0 since 12/02/2102?
|
SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-2584')) AND vitalperiodic.sao2 > 94.0 AND NOT vitalperiodic.sao2 IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) >= '2102-12-02'
|
eicu
|
CREATE TABLE table_name_70 (
height__m_ INTEGER,
year_built VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of the heights in meters for the commerzbank tower built after 1984?
|
SELECT SUM(height__m_) FROM table_name_70 WHERE year_built > 1984 AND name = "commerzbank tower"
|
sql_create_context
|
CREATE TABLE table_name_85 (
datacenter VARCHAR,
itanium VARCHAR,
features VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Datacenter for the Memory modules: hot addition Feature that has Yes listed for Itanium?
|
SELECT datacenter FROM table_name_85 WHERE itanium = "yes" AND features = "memory modules: hot addition"
|
sql_create_context
|
CREATE TABLE table_name_27 (
attendance INTEGER,
venue VARCHAR,
round VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest attendance at Venue H in Round R2?
|
SELECT MIN(attendance) FROM table_name_27 WHERE venue = "h" AND round = "r2"
|
sql_create_context
|
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE 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 d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- had patient 60763 undergone any procedure?
|
SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 60763)
|
mimic_iii
|
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
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 PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTaskResultTypes (
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE 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 PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- TOP 150 Users from Bulgaria.
|
SELECT Id, DisplayName, Reputation, Location FROM Users WHERE Location LIKE '%Sofia%' OR Location LIKE '%Bulgaria%' ORDER BY Reputation DESC LIMIT 150
|
sede
|
CREATE TABLE table_24143253_5 (
deceased_spouse VARCHAR,
length_of_marriage VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the deceased spouse who was married for 4 years?
|
SELECT deceased_spouse FROM table_24143253_5 WHERE length_of_marriage = "4 years"
|
sql_create_context
|
CREATE TABLE table_21595 (
"Year (Ceremony)" text,
"Film title used in nomination" text,
"Original title" text,
"Director" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the year when Ch nqi Ch sh ( ) was submitted?
|
SELECT "Year (Ceremony)" FROM table_21595 WHERE "Original title" = 'Chūnqiū cháshì (春秋茶室)'
|
wikisql
|
CREATE TABLE table_67310 (
"Name" text,
"Party" text,
"Hometown" text,
"District" text,
"Term" text,
"Legislatures" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the term of Bruce Biers Kendall whose hometown is Anchorage?
|
SELECT "Term" FROM table_67310 WHERE "Hometown" = 'anchorage' AND "Name" = 'bruce biers kendall'
|
wikisql
|
CREATE TABLE table_14583 (
"Round" real,
"Pick #" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the most pick # for overall of 204
|
SELECT MAX("Pick #") FROM table_14583 WHERE "Overall" = '204'
|
wikisql
|
CREATE TABLE table_27799 (
"Municipality" text,
"No. of s Barangay" real,
"Area (km\u00b2)" text,
"Population (2007)" real,
"Population (2010)" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the municipality that has an area of exactly 214.44 sq. km?
|
SELECT "Municipality" FROM table_27799 WHERE "Area (km\u00b2)" = '214.44'
|
wikisql
|
CREATE TABLE table_name_74 (
home_team VARCHAR,
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What score did the opposing home team have against Melbourne
|
SELECT home_team AS score FROM table_name_74 WHERE away_team = "melbourne"
|
sql_create_context
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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 the number of patients who are taking base type drug prescription and have diagnoses icd9 code 41031?
|
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.icd9_code = "41031" AND prescriptions.drug_type = "BASE"
|
mimicsql_data
|
CREATE TABLE table_name_76 (
location VARCHAR,
event VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where was the event Kage Kombat 16?
|
SELECT location FROM table_name_76 WHERE event = "kage kombat 16"
|
sql_create_context
|
CREATE TABLE table_60748 (
"Year" real,
"Competition" text,
"Venue" text,
"Position" text,
"Event" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the earliest year that an event held in Berlin, Germany had a 100 m hurdles event?
|
SELECT MIN("Year") FROM table_60748 WHERE "Venue" = 'berlin, germany' AND "Event" = '100 m hurdles'
|
wikisql
|
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 dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
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 flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE 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 month (
month_number int,
month_name text
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- on a BREAKFAST flight from PHILADELPHIA to DALLAS via ATLANTA
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop, food_service WHERE ((CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'ATLANTA' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND food_service.meal_code = flight.meal_code AND food_service.meal_description = 'BREAKFAST') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
atis
|
CREATE TABLE t_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_ID number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc21 (
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 把医疗机构0195557做过项目0152检查的记录查看一下
|
SELECT COUNT(*) FROM t_kc21 JOIN t_kc22 ON t_kc21.MED_CLINIC_ID = t_kc22.MED_CLINIC_ID WHERE t_kc21.MED_SER_ORG_NO = '0195557' AND t_kc22.SOC_SRT_DIRE_CD = '0152'
|
css
|
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- This Summer , which upper-level LING classes are being offered ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND course.department = 'LING' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Summer' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
advising
|
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 SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- intel tags: all posts from last n days.
|
WITH IntelTags AS (SELECT Id, TagName, Count FROM Tags WHERE Tags.TagName LIKE 'intel-%' OR Tags.TagName = 'intel'), IntelPostIds AS (SELECT DISTINCT PostTags.PostId FROM PostTags INNER JOIN IntelTags ON IntelTags.Id = PostTags.TagId) SELECT Id AS "post_link", Body, Tags, CreationDate, Score, ViewCount FROM Posts INNER JOIN IntelPostIds ON IntelPostIds.PostId = Posts.Id WHERE DATEDIFF(day, CreationDate, GETDATE()) <= '##days:int?90##' ORDER BY ViewCount DESC
|
sede
|
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, give me the comparison about the average of code over the name , and group by attribute name, I want to list from high to low by the total number.
|
SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Code DESC
|
nvbench
|
CREATE TABLE table_33017 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest attendance for a game before 10 weeks on November 12, 1967
|
SELECT MIN("Attendance") FROM table_33017 WHERE "Week" < '10' AND "Date" = 'november 12, 1967'
|
wikisql
|
CREATE TABLE table_28561 (
"Film Festival" text,
"Date of ceremony" text,
"Category" text,
"Participants/Recipients" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What film festival was the participant/recipient Isao Tomita?
|
SELECT "Film Festival" FROM table_28561 WHERE "Participants/Recipients" = 'Isao Tomita'
|
wikisql
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients whose procedure long title is thoracentesis and lab test category is chemistry?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Thoracentesis" AND lab."CATEGORY" = "Chemistry"
|
mimicsql_data
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients whose year of death is less than or equal to 2133 and procedure long title is open and other replacement of mitral valve with tissue graft?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2133.0" AND procedures.long_title = "Open and other replacement of mitral valve with tissue graft"
|
mimicsql_data
|
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
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 PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE 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 PostTags (
PostId number,
TagId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostTypes (
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount 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 TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE 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 PostHistoryTypes (
Id number,
Name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- search comment by keyword and user id.
|
SELECT Id AS "comment_link", Text, CreationDate FROM Comments WHERE UserId = '##UserId##' AND Text LIKE '%##Keyword##%' ORDER BY CreationDate DESC
|
sede
|
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 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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId 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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewTaskResultTypes (
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 Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
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 ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find Deleted Questions and Answers by User. shows all deleted answers for the specified user
|
SELECT DISTINCT p.Id AS "post_link", p.LastActivityDate, p.DeletionDate FROM Posts AS p JOIN PostHistory AS ph ON p.Id = ph.PostId WHERE p.OwnerUserId = '##USERID##' AND NOT p.DeletionDate IS NULL ORDER BY p.LastActivityDate DESC
|
sede
|
CREATE TABLE station (
Station_ID int,
Name text,
Annual_entry_exit real,
Annual_interchanges real,
Total_Passengers real,
Location text,
Main_Services text,
Number_of_Platforms int
)
CREATE TABLE train (
Train_ID int,
Name text,
Time text,
Service text
)
CREATE TABLE train_station (
Train_ID int,
Station_ID int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me the correlation between the number of platforms and the number of total_passengers in a scatter chart.
|
SELECT SUM(Number_of_Platforms), SUM(Total_Passengers) FROM station GROUP BY Location
|
nvbench
|
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE 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 patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE 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.
-- since 4 years ago, what are the top three most frequently performed laboratory tests given to patients within the same month after being diagnosed with atrial fibrillation - without hemodynamic compromise?
|
SELECT t3.labname FROM (SELECT t2.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'atrial fibrillation - without hemodynamic compromise' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT patient.uniquepid, lab.labname, lab.labresulttime FROM lab JOIN patient ON lab.patientunitstayid = patient.patientunitstayid WHERE DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.labresulttime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.labresulttime, 'start of month') GROUP BY t2.labname) AS t3 WHERE t3.c1 <= 3
|
eicu
|
CREATE TABLE problem_log (
problem_log_id number,
assigned_to_staff_id number,
problem_id number,
problem_category_code text,
problem_status_code text,
log_entry_date time,
log_entry_description text,
log_entry_fix text,
other_log_details text
)
CREATE TABLE problem_status_codes (
problem_status_code text,
problem_status_description text
)
CREATE TABLE problem_category_codes (
problem_category_code text,
problem_category_description text
)
CREATE TABLE product (
product_id number,
product_name text,
product_details text
)
CREATE TABLE staff (
staff_id number,
staff_first_name text,
staff_last_name text,
other_staff_details text
)
CREATE TABLE problems (
problem_id number,
product_id number,
closure_authorised_by_staff_id number,
reported_by_staff_id number,
date_problem_reported time,
date_problem_closed time,
problem_description text,
other_problem_details text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For the problem with id 10, return the ids and dates of its problem logs.
|
SELECT problem_log_id, log_entry_date FROM problem_log WHERE problem_id = 10
|
spider
|
CREATE TABLE table_25008327_8 (
словјански VARCHAR,
polish VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is every value for if polish is ksi ka?
|
SELECT словјански FROM table_25008327_8 WHERE polish = "książka"
|
sql_create_context
|
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who do not work in departments with managers that have ids between 100 and 200, find last_name and department_id , and visualize them by a bar chart, and I want to list in descending by the X please.
|
SELECT LAST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME DESC
|
nvbench
|
CREATE TABLE table_name_46 (
round INTEGER,
method VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Round has a Method of ko, and a Date of 1958?
|
SELECT MIN(round) FROM table_name_46 WHERE method = "ko" AND date = "1958"
|
sql_create_context
|
CREATE TABLE table_45506 (
"Pinnacle height" text,
"Year" real,
"Structure type" text,
"Main use" text,
"Country" text,
"Town" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the main use for the structure listed in walker city, iowa?
|
SELECT "Main use" FROM table_45506 WHERE "Town" = 'walker city, iowa'
|
wikisql
|
CREATE TABLE table_name_97 (
number_of_districts__kecamatan_ INTEGER,
province VARCHAR,
villages VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest number of districts (kecamatan) in the north sulawesi province with more than 1,510 villages?
|
SELECT MIN(number_of_districts__kecamatan_) FROM table_name_97 WHERE province = "north sulawesi" AND villages > 1 OFFSET 510
|
sql_create_context
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose discharge location is home health care and diagnoses long title is psoas muscle abscess?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND diagnoses.long_title = "Psoas muscle abscess"
|
mimicsql_data
|
CREATE TABLE table_23353 (
"School" text,
"City / Town" text,
"Website" text,
"Size" real,
"Principal" text,
"Grades" text,
"IDOE Profile" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the name of the school/s in North Manchester?
|
SELECT "School" FROM table_23353 WHERE "City / Town" = 'North Manchester'
|
wikisql
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients whose insurance is medicare and lab test name is albumin/creatinine, urine?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Medicare" AND lab.label = "Albumin/Creatinine, Urine"
|
mimicsql_data
|
CREATE TABLE table_name_7 (
competition VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Competition has a Score of 2-0?
|
SELECT competition FROM table_name_7 WHERE score = "2-0"
|
sql_create_context
|
CREATE TABLE table_17378 (
"Index (Year)" text,
"Author / Editor / Source" text,
"Year of publication" text,
"Countries sampled" real,
"World Ranking (1)" text,
"Ranking L.A. (2)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many countries sampled with year of publication being 2007 and ranking l.a. (2) being 7th
|
SELECT COUNT("Countries sampled") FROM table_17378 WHERE "Year of publication" = '2007' AND "Ranking L.A. (2)" = '7th'
|
wikisql
|
CREATE TABLE table_25211 (
"District name" text,
"Dist. ID" real,
"ISD" text,
"County" text,
"Authorizing agency" text,
"Date opened" text,
"Services" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the district ID is 74907, what is the name of the district?
|
SELECT "District name" FROM table_25211 WHERE "Dist. ID" = '74907'
|
wikisql
|
CREATE TABLE table_63558 (
"Rank" real,
"Lane" real,
"Athlete" text,
"Nationality" text,
"Time" real,
"React" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest lane in which an athlete got a time larger than 20.75 and a react smaller than 0.166?
|
SELECT MIN("Lane") FROM table_63558 WHERE "Time" > '20.75' AND "React" < '0.166'
|
wikisql
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.