instruction
stringlengths 151
7.46k
| output
stringlengths 2
4.44k
| source
stringclasses 26
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|---|---|---|
CREATE TABLE table_name_52 (
score VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- WHAT SCORE WAS ON 1999-05-31?
|
SELECT score FROM table_name_52 WHERE date = "1999-05-31"
|
sql_create_context
|
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the daily minimum of chest tube b amount output of patient 007-1517 on the first icu visit?
|
SELECT MIN(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-1517') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND intakeoutput.celllabel = 'chest tube b amount' AND intakeoutput.cellpath LIKE '%output%' GROUP BY STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime)
|
eicu
|
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text,
person_info_CSD text,
person_info_CSRQ time,
person_info_GJDM text,
person_info_GJMC text,
person_info_JGDM text,
person_info_JGMC text,
person_info_MZDM text,
person_info_MZMC text,
person_info_XBDM number,
person_info_XBMC text,
person_info_XLDM text,
person_info_XLMC text,
person_info_XM text,
person_info_ZYLBDM text,
person_info_ZYMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 门诊诊断为患有疾病M79.046的病人的籍贯名称叫什么？籍贯代码是什么？相应人数有多少？
|
SELECT hz_info.person_info_JGDM, hz_info.person_info_JGMC, COUNT(hz_info.RYBH) FROM hz_info JOIN mzjzjlb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE mzjzjlb.JZZDBM = 'M79.046' GROUP BY hz_info.person_info_JGDM
|
css
|
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
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 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 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 labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many times since 6 years ago rifampin was prescribed for patient 16066?
|
SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16066) AND prescriptions.drug = 'rifampin' AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-6 year')
|
mimic_iii
|
CREATE TABLE table_4114 (
"Townland" text,
"s Acre" real,
"Barony" text,
"Civil parish" text,
"Poor law union" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the maximum acres in Castledermot?
|
SELECT MAX("s Acre") FROM table_4114 WHERE "Civil parish" = 'Castledermot'
|
wikisql
|
CREATE TABLE table_40335 (
"Year" text,
"GP/GS" text,
"Shots" real,
"Goals" real,
"Assists" real,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total number of Points that were in a Year that was 2005?
|
SELECT COUNT("Points") FROM table_40335 WHERE "Year" = '2005'
|
wikisql
|
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 PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE 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 PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
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 PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId 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 ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Monthly activity distribution by year of registration.
|
WITH Raw AS (SELECT TIME_TO_STR(Users.CreationDate, '%Y') AS UserYear, DATEFROMPARTS(TIME_TO_STR(Posts.CreationDate, '%Y'), TIME_TO_STR(Posts.CreationDate, '%-M'), 1) AS PostMonth, COUNT(*) AS Count FROM Posts, Users WHERE Posts.OwnerUserId = Users.Id AND Posts.OwnerUserId > 0 GROUP BY TIME_TO_STR(Users.CreationDate, '%Y'), DATEFROMPARTS(TIME_TO_STR(Posts.CreationDate, '%Y'), TIME_TO_STR(Posts.CreationDate, '%-M'), 1)), RawSum AS (SELECT PostMonth, SUM(Count) AS Count FROM Raw GROUP BY PostMonth) SELECT Raw.PostMonth, CAST(Raw.UserYear AS TEXT) AS UserYear, 100.0 * Raw.Count / RawSum.Count AS Pct FROM Raw, RawSum WHERE Raw.PostMonth = RawSum.PostMonth ORDER BY PostMonth, UserYear
|
sede
|
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE 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.
-- 患者75486371在医疗机构7090006的门诊就诊过多少次？在零一年十一月十日到一六年九月十六日的这几年里
|
SELECT COUNT(*) FROM hz_info JOIN mzjzjlb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE hz_info.RYBH = '75486371' AND mzjzjlb.JZKSRQ BETWEEN '2001-11-10' AND '2016-09-16' AND mzjzjlb.YLJGDM = '7090006'
|
css
|
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 jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 门诊给08451089这个病人诊断为高血压病，看看编号为516626的这个检测指标的结果定量及其单位
|
SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN mzjzjlb_jybgb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = mzjzjlb_jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH WHERE mzjzjlb.JZZDSM = '高血压病' AND hz_info.RYBH = '08451089' AND jyjgzbb.JCZBDM = '516626'
|
css
|
CREATE TABLE table_28059992_5 (
pick__number INTEGER,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What draft pick number was Andy Brereton?
|
SELECT MIN(pick__number) FROM table_28059992_5 WHERE player = "Andy Brereton"
|
sql_create_context
|
CREATE TABLE table_204_616 (
id number,
"township" text,
"fips" number,
"population\ncenter" text,
"population" number,
"population\ndensity\n/km2 (/sq mi)" text,
"land area\nkm2 (sq mi)" text,
"water area\nkm2 (sq mi)" text,
"water %" text,
"geographic coordinates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many townships are in leavenworth county ?
|
SELECT COUNT("township") FROM table_204_616
|
squall
|
CREATE TABLE table_name_79 (
country VARCHAR,
director VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Country has the Director Chen Kaige?
|
SELECT country FROM table_name_79 WHERE director = "chen kaige"
|
sql_create_context
|
CREATE TABLE table_name_78 (
long VARCHAR,
car VARCHAR,
yards VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the long for the player with under 30 carries and 0 yards?
|
SELECT long FROM table_name_78 WHERE car < 30 AND yards = "0"
|
sql_create_context
|
CREATE TABLE table_11474 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When Richmond is the Away team, what did they score?
|
SELECT "Away team score" FROM table_11474 WHERE "Away team" = 'richmond'
|
wikisql
|
CREATE TABLE table_2562572_43 (
dominant_religion__2002_ VARCHAR,
largest_ethnic_group__2002_ VARCHAR,
type VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the 2002 dominant religion when the largest ethnic group (2002) was slovaks and type is village?
|
SELECT dominant_religion__2002_ FROM table_2562572_43 WHERE largest_ethnic_group__2002_ = "Slovaks" AND type = "village"
|
sql_create_context
|
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者苏正诚在2021-04-10之前有哪些门诊就诊的检验报告单？列出门诊就诊流水号
|
SELECT mzjzjlb.JZLSH FROM person_info JOIN hz_info JOIN mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE person_info.XM = '苏正诚' AND NOT mzjzjlb.JZLSH IN (SELECT jybgb.JZLSH FROM jybgb WHERE jybgb.BGRQ >= '2021-04-10')
|
css
|
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those records from the products and each product's manufacturer, find name and code , and group by attribute headquarter, and visualize them by a bar chart, I want to display by the total number from low to high please.
|
SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Code
|
nvbench
|
CREATE TABLE table_25822 (
"Outcome" text,
"Year" real,
"Championship" text,
"Surface" text,
"Opponent in the final" text,
"Score in the final" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In which championship did John Newcombe play against Ken Rosewall in the final match?
|
SELECT "Championship" FROM table_25822 WHERE "Opponent in the final" = 'Ken Rosewall'
|
wikisql
|
CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches NUMERIC,
mean_sea_level_pressure_inches NUMERIC,
min_sea_level_pressure_inches NUMERIC,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches INTEGER,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code INTEGER
)
CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For the days with the 3 largest maximum gust speeds, calculate the average mean humidity of each month (bin date into month level).
|
SELECT date, AVG(mean_humidity) FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3
|
nvbench
|
CREATE TABLE table_79129 (
"Player" text,
"Country" text,
"Year(s) won" text,
"Total" real,
"To par" text,
"Finish" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Finish, when Year(s) Won is '1991'?
|
SELECT "Finish" FROM table_79129 WHERE "Year(s) won" = '1991'
|
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.
-- provide the number of patients whose days of hospital stay is greater than 29 and procedure long title is exteriorization of small intestine?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "29" AND procedures.long_title = "Exteriorization of small intestine"
|
mimicsql_data
|
CREATE TABLE table_47819 (
"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 attendance of week 8?
|
SELECT COUNT("Attendance") FROM table_47819 WHERE "Week" = '8'
|
wikisql
|
CREATE TABLE table_203_268 (
id number,
"date" text,
"name" text,
"nationality" text,
"tonnage\n(grt)" number,
"fate" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what where the only two submarines that where only damaged ?
|
SELECT "name" FROM table_203_268 WHERE "fate" = 'damaged'
|
squall
|
CREATE TABLE table_9405 (
"Country" text,
"Date" text,
"Label" text,
"Format" text,
"Catalog" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Label has a Catalog of 7243 8 49494 2 6?
|
SELECT "Label" FROM table_9405 WHERE "Catalog" = '7243 8 49494 2 6'
|
wikisql
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients whose year of birth is less than 1846 and procedure short title is coronary arteriogram nec?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "1846" AND procedures.short_title = "Coronary arteriogram NEC"
|
mimicsql_data
|
CREATE TABLE table_48293 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Country has a Place of t9, and a Score of 71-71-72=214, and a Player of ernie els?
|
SELECT "Country" FROM table_48293 WHERE "Place" = 't9' AND "Score" = '71-71-72=214' AND "Player" = 'ernie els'
|
wikisql
|
CREATE TABLE table_name_72 (
visitor VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What team was the visitor on 3/2?
|
SELECT visitor FROM table_name_72 WHERE date = "3/2"
|
sql_create_context
|
CREATE TABLE table_name_65 (
time_retired VARCHAR,
grid VARCHAR,
driver VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What time/retired has a Grid larger than 3, and a Driver of kimi r ikk nen?
|
SELECT time_retired FROM table_name_65 WHERE grid > 3 AND driver = "kimi räikkönen"
|
sql_create_context
|
CREATE TABLE table_27403436_1 (
us_viewers__million_ VARCHAR,
written_by VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many viewers watched the episode written by shana goldberg-meehan & greg malins?
|
SELECT us_viewers__million_ FROM table_27403436_1 WHERE written_by = "Shana Goldberg-Meehan & Greg Malins"
|
sql_create_context
|
CREATE TABLE table_name_32 (
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is south melbourne's scores when they are the away team?
|
SELECT away_team AS score FROM table_name_32 WHERE away_team = "south melbourne"
|
sql_create_context
|
CREATE TABLE table_13934 (
"Date" text,
"Type" text,
"Time (greatest)" text,
"Saros" real,
"Member" real,
"Gamma" real,
"Magnitude" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the date when saros is more than 124, the type is total, the magnitude is more than 1.0535 and the time (greatest) is 20:55:28?
|
SELECT "Date" FROM table_13934 WHERE "Saros" > '124' AND "Type" = 'total' AND "Magnitude" > '1.0535' AND "Time (greatest)" = '20:55:28'
|
wikisql
|
CREATE TABLE journal (
Journal_ID int,
Date text,
Theme text,
Sales int
)
CREATE TABLE editor (
Editor_ID int,
Name text,
Age real
)
CREATE TABLE journal_committee (
Editor_ID int,
Journal_ID int,
Work_Type text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Draw a bar chart of name versus age, and I want to rank by the y-axis in descending.
|
SELECT Name, Age FROM editor ORDER BY Age DESC
|
nvbench
|
CREATE TABLE table_64215 (
"Position" real,
"Gymnast" text,
"Floor" text,
"Pommel Horse" text,
"Rings" text,
"Vault" text,
"Parallel Bars" text,
"Horizontal Bar" text,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- With a parallel bars score of 14.625 what is the average total?
|
SELECT AVG("Total") FROM table_64215 WHERE "Parallel Bars" = '14.625'
|
wikisql
|
CREATE TABLE table_name_9 (
vertical_drop__m_ INTEGER,
length__m_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest vertical drop among the 1,200 meter long tracks?
|
SELECT MAX(vertical_drop__m_) FROM table_name_9 WHERE length__m_ = 1 OFFSET 200
|
sql_create_context
|
CREATE TABLE table_name_25 (
american VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is 17th c., when American is ' '?
|
SELECT 17 AS th_c FROM table_name_25 WHERE american = "ə"
|
sql_create_context
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients were diagnosed with an unspecified disorder of kidney and ureter and treated with a main drug type?
|
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.long_title = "Unspecified disorder of kidney and ureter" AND prescriptions.drug_type = "MAIN"
|
mimicsql_data
|
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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE 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 vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- has patient 006-171217 until 2104 received a test of -bands?
|
SELECT COUNT(*) > 0 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-171217')) AND lab.labname = '-bands' AND STRFTIME('%y', lab.labresulttime) <= '2104'
|
eicu
|
CREATE TABLE table_name_66 (
location VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the location of the fight when Gassaway fought kevin knabjian?
|
SELECT location FROM table_name_66 WHERE opponent = "kevin knabjian"
|
sql_create_context
|
CREATE TABLE table_14778650_1 (
writer VARCHAR,
length VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the writer for the song 4:29 in length?
|
SELECT writer FROM table_14778650_1 WHERE length = "4:29"
|
sql_create_context
|
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me a pie chart to reflect the proportion of All_Home and the sum of Team_ID.
|
SELECT All_Home, SUM(Team_ID) FROM basketball_match GROUP BY All_Home
|
nvbench
|
CREATE TABLE table_name_28 (
platform VARCHAR,
latest_stable_release VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the platform for the latest release 8.4?
|
SELECT platform FROM table_name_28 WHERE latest_stable_release = "8.4"
|
sql_create_context
|
CREATE TABLE table_16339 (
"Model" text,
"RU" real,
"Max processors" text,
"Processor frequency" text,
"Max memory" text,
"Max disk capacity" text,
"GA Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the max memory of the t5120 model?
|
SELECT "Max memory" FROM table_16339 WHERE "Model" = 'T5120'
|
wikisql
|
CREATE TABLE table_name_54 (
venue VARCHAR,
state VARCHAR,
host VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What venue is located in Indiana and hosted at Purdue University?
|
SELECT venue FROM table_name_54 WHERE state = "indiana" AND host = "purdue university"
|
sql_create_context
|
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 从两千年八月二十四日到两千零一年三月十一日期间，在0936106医院接受治疗的吴姓患者详细记录
|
SELECT * FROM gwyjzb WHERE gwyjzb.MED_SER_ORG_NO = '0936106' AND gwyjzb.IN_HOSP_DATE BETWEEN '2000-08-24' AND '2001-03-11' AND gwyjzb.PERSON_NM LIKE '吴%' UNION SELECT * FROM fgwyjzb WHERE fgwyjzb.MED_SER_ORG_NO = '0936106' AND fgwyjzb.IN_HOSP_DATE BETWEEN '2000-08-24' AND '2001-03-11' AND fgwyjzb.PERSON_NM LIKE '吴%'
|
css
|
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
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 city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE state (
state_code text,
state_name text,
country_name 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 dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
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 time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE 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 airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what ground transportation is available from LGA airport into NEW YORK
|
SELECT DISTINCT transport_type FROM ground_service WHERE (airport_code IN (SELECT AIRPORTalias0.airport_code FROM airport AS AIRPORTalias0 WHERE AIRPORTalias0.airport_code = 'LGA') AND city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'NEW YORK'))
|
atis
|
CREATE TABLE table_47244 (
"Name" text,
"Club" text,
"Date of departure" text,
"Replacement" text,
"Date of appointment" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When did Brendan Rodgers depart his position?
|
SELECT "Date of departure" FROM table_47244 WHERE "Name" = 'brendan rodgers'
|
wikisql
|
CREATE TABLE Functional_Areas (
functional_area_code VARCHAR(15),
parent_functional_area_code VARCHAR(15),
functional_area_description VARCHAR(80)
)
CREATE TABLE Images (
image_id INTEGER,
image_alt_text VARCHAR(80),
image_name VARCHAR(40),
image_url VARCHAR(255)
)
CREATE TABLE Document_Sections (
section_id INTEGER,
document_code VARCHAR(15),
section_sequence INTEGER,
section_code VARCHAR(20),
section_title VARCHAR(80)
)
CREATE TABLE Users (
user_id INTEGER,
role_code VARCHAR(15),
user_name VARCHAR(40),
user_login VARCHAR(40),
password VARCHAR(40)
)
CREATE TABLE Documents (
document_code VARCHAR(15),
document_structure_code VARCHAR(15),
document_type_code VARCHAR(15),
access_count INTEGER,
document_name VARCHAR(80)
)
CREATE TABLE Roles (
role_code VARCHAR(15),
role_description VARCHAR(80)
)
CREATE TABLE Document_Functional_Areas (
document_code VARCHAR(15),
functional_area_code VARCHAR(15)
)
CREATE TABLE Document_Sections_Images (
section_id INTEGER,
image_id INTEGER
)
CREATE TABLE Document_Structures (
document_structure_code VARCHAR(15),
parent_document_structure_code VARCHAR(15),
document_structure_description VARCHAR(80)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the number of users in each role. Visualize by pie chart.
|
SELECT role_code, COUNT(*) FROM Users GROUP BY role_code
|
nvbench
|
CREATE TABLE table_38287 (
"Club" text,
"Played" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Tries against when lost shows 12 for pontycymmer rfc?
|
SELECT "Tries against" FROM table_38287 WHERE "Lost" = '12' AND "Club" = 'pontycymmer rfc'
|
wikisql
|
CREATE TABLE table_204_655 (
id number,
"year" number,
"winner" text,
"album" text,
"other finalists" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what album won before borrowed time did in 2006 ?
|
SELECT "album" FROM table_204_655 WHERE "year" < (SELECT "year" FROM table_204_655 WHERE "album" = 'borrowed time') ORDER BY "year" DESC LIMIT 1
|
squall
|
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE person_info_hz_info (
RYBH text,
KH number,
KLX number,
YLJGDM 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.
-- 患者77448008在2009年8月4日到2021年6月15日内都做了什么检查把检验报告单号列出来
|
SELECT jybgb.BGDH FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN person_info_hz_info JOIN person_info ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.RYBH = person_info.RYBH WHERE person_info_hz_info.RYBH = '77448008' AND jybgb.BGRQ BETWEEN '2009-08-04' AND '2021-06-15' UNION SELECT jybgb.BGDH FROM hz_info JOIN zyjzjlb JOIN jybgb JOIN person_info_hz_info JOIN person_info ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.RYBH = person_info.RYBH WHERE person_info.RYBH = '77448008' AND jybgb.BGRQ BETWEEN '2009-08-04' AND '2021-06-15'
|
css
|
CREATE TABLE table_name_51 (
away_team VARCHAR,
venue VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What team played at lake oval while away?
|
SELECT away_team FROM table_name_51 WHERE venue = "lake oval"
|
sql_create_context
|
CREATE TABLE table_name_23 (
main_span_metres VARCHAR,
main_span_feet VARCHAR,
year_to_open VARCHAR,
country VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Main span of the bridge from China with a Year to open of 2013 and Main span feet of 2,585?
|
SELECT main_span_metres FROM table_name_23 WHERE year_to_open = 2013 AND country = "china" AND main_span_feet = "2,585"
|
sql_create_context
|
CREATE TABLE table_name_63 (
attendance INTEGER,
week VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the attendance of week 12?
|
SELECT MIN(attendance) FROM table_name_63 WHERE week = 12
|
sql_create_context
|
CREATE TABLE table_name_26 (
points INTEGER,
drawn VARCHAR,
games VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the highest points where there were less than 2 drawn and the games were less than 6?
|
SELECT MAX(points) FROM table_name_26 WHERE drawn < 2 AND games < 6
|
sql_create_context
|
CREATE TABLE table_name_53 (
grid INTEGER,
car_no VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Car number 98's lowest grid?
|
SELECT MIN(grid) FROM table_name_53 WHERE car_no = 98
|
sql_create_context
|
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost 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 admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of patients who died after diagnosis of hx-ven thrombosis/embols within 2 months until 2104?
|
SELECT COUNT(DISTINCT t2.subject_id) FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hx-ven thrombosis/embols')) AS t1 GROUP BY t1.subject_id HAVING MIN(t1.charttime) = t1.charttime AND STRFTIME('%y', t1.charttime) <= '2104') AS t2 JOIN (SELECT patients.subject_id, admissions.hadm_id, patients.dod FROM admissions JOIN patients ON patients.subject_id = admissions.subject_id WHERE NOT patients.dod IS NULL AND STRFTIME('%y', patients.dod) <= '2104') AS t3 ON t2.subject_id = t3.subject_id WHERE (DATETIME(t3.dod) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month')) OR (DATETIME(t2.charttime) BETWEEN DATETIME(t3.dod) AND DATETIME(t3.dod, '+2 month'))
|
mimic_iii
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose insurance is government and procedure long title is drug detoxification?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.long_title = "Drug detoxification"
|
mimicsql_data
|
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
)
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 the number of patients whose admission type is urgent and primary disease is pneumonia?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.diagnosis = "PNEUMONIA"
|
mimicsql_data
|
CREATE TABLE table_name_77 (
years_at_club VARCHAR,
debut_year VARCHAR,
games VARCHAR,
goals VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the number of Years at Club for the player who has had more games than 28, more Goals than 225, and his Debut year was after 1950?
|
SELECT years_at_club FROM table_name_77 WHERE games > 28 AND goals > 225 AND debut_year > 1950
|
sql_create_context
|
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE 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 d_items (
row_id number,
itemid number,
label text,
linksto 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
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- tell me patient 20000's length of stay of the last stay in the icu.
|
SELECT STRFTIME('%j', icustays.outtime) - STRFTIME('%j', icustays.intime) FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20000) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1
|
mimic_iii
|
CREATE TABLE table_name_2 (
away_team VARCHAR,
home_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Away team has the Home team of Carlton?
|
SELECT away_team FROM table_name_2 WHERE home_team = "carlton"
|
sql_create_context
|
CREATE TABLE table_69181 (
"Date" text,
"Opponent" text,
"Result" text,
"Game Site" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the opponent on the game on April 14, 2007?
|
SELECT "Opponent" FROM table_69181 WHERE "Date" = 'april 14, 2007'
|
wikisql
|
CREATE TABLE table_21550870_1 (
production_code VARCHAR,
written_by VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the total number of production code for episode by steve cohen & andrew dettman
|
SELECT COUNT(production_code) FROM table_21550870_1 WHERE written_by = "Steve Cohen & Andrew Dettman"
|
sql_create_context
|
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 patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how much difference does patient 031-4987 have in heartrate measured at 2104-12-30 22:20:00 compared to the value measured at 2104-12-30 22:15:00?
|
SELECT (SELECT vitalperiodic.heartrate FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-4987')) AND NOT vitalperiodic.heartrate IS NULL AND vitalperiodic.observationtime = '2104-12-30 22:20:00') - (SELECT vitalperiodic.heartrate FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-4987')) AND NOT vitalperiodic.heartrate IS NULL AND vitalperiodic.observationtime = '2104-12-30 22:15:00')
|
eicu
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- for patient id 94762, specify the time of admission and discharge
|
SELECT demographic.admittime, demographic.dischtime FROM demographic WHERE demographic.subject_id = "94762"
|
mimicsql_data
|
CREATE TABLE table_76618 (
"Fin. Pos" text,
"Car No." text,
"Driver" text,
"Team" text,
"Laps" text,
"Time/Retired" text,
"Grid" text,
"Laps Led" text,
"Points" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many points does driver kosuke matsuura have?
|
SELECT "Points" FROM table_76618 WHERE "Driver" = 'kosuke matsuura'
|
wikisql
|
CREATE TABLE table_name_21 (
time VARCHAR,
nationality VARCHAR,
heat VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Russia's time with a heat higher than 3?
|
SELECT time FROM table_name_21 WHERE nationality = "russia" AND heat > 3
|
sql_create_context
|
CREATE TABLE table_26015 (
"Branding" text,
"Callsign" text,
"Ch. #" text,
"Power kW" text,
"Station Type" text,
"Location (Transmitter site)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When dwhr-tv is the call sign how many station types are there?
|
SELECT COUNT("Station Type") FROM table_26015 WHERE "Callsign" = 'DWHR-TV'
|
wikisql
|
CREATE TABLE table_171236_1 (
census_ranking VARCHAR,
area_km_2 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the area is 34.73, what is the census ranking?
|
SELECT census_ranking FROM table_171236_1 WHERE area_km_2 = "34.73"
|
sql_create_context
|
CREATE TABLE table_name_44 (
decile INTEGER,
roll VARCHAR,
authority VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total amount of decile with the authority of state around the Pokuru School and a roll smaller than 109?
|
SELECT SUM(decile) FROM table_name_44 WHERE authority = "state" AND name = "pokuru school" AND roll < 109
|
sql_create_context
|
CREATE TABLE table_name_91 (
week INTEGER,
result VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In what week was the Result L 15-13?
|
SELECT AVG(week) FROM table_name_91 WHERE result = "l 15-13"
|
sql_create_context
|
CREATE TABLE table_name_24 (
player VARCHAR,
school VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What player is from Seton Hall University?
|
SELECT player FROM table_name_24 WHERE school = "seton hall university"
|
sql_create_context
|
CREATE TABLE table_name_48 (
place VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the place when the score is 70-72=142?
|
SELECT place FROM table_name_48 WHERE score = 70 - 72 = 142
|
sql_create_context
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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 whose days of hospital stay is greater than 15 and diagnoses short title is acute pancreatitis?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "15" AND diagnoses.short_title = "Acute pancreatitis"
|
mimicsql_data
|
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE 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 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 transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE procedures_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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_icd_diagnoses (
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 diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what were the top four frequently prescribed drugs that were prescribed to patients in the same hospital visit after they had been prescribed doxorubicin since 2101?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'doxorubicin' AND STRFTIME('%y', prescriptions.startdate) >= '2101') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) >= '2101') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.startdate < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4
|
mimic_iii
|
CREATE TABLE table_46041 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Gold has a Rank of 7, a Nation of italy, and a Silver smaller than 0?
|
SELECT COUNT("Gold") FROM table_46041 WHERE "Rank" = '7' AND "Nation" = 'italy' AND "Silver" < '0'
|
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,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZYSGH text
)
CREATE TABLE 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 fzzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZYSGH text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 从03年5月3日开始到09年5月24日结束患者45065975被开出的所有检验报告单的检验报告单号能否列出来？
|
SELECT jybgb.BGDH FROM hz_info JOIN zzmzjzjlb JOIN jybgb ON hz_info.YLJGDM = zzmzjzjlb.YLJGDM AND hz_info.KH = zzmzjzjlb.KH AND hz_info.KLX = zzmzjzjlb.KLX AND zzmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND zzmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE hz_info.RYBH = '45065975' AND jybgb.BGRQ BETWEEN '2003-05-03' AND '2009-05-24' UNION SELECT jybgb.BGDH FROM hz_info JOIN fzzmzjzjlb JOIN jybgb ON hz_info.YLJGDM = fzzmzjzjlb.YLJGDM AND hz_info.KH = fzzmzjzjlb.KH AND hz_info.KLX = fzzmzjzjlb.KLX AND fzzmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND fzzmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE hz_info.RYBH = '45065975' AND jybgb.BGRQ BETWEEN '2003-05-03' AND '2009-05-24' UNION SELECT jybgb.BGDH FROM hz_info JOIN zyjzjlb JOIN jybgb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB WHERE hz_info.RYBH = '45065975' AND jybgb.BGRQ BETWEEN '2003-05-03' AND '2009-05-24'
|
css
|
CREATE TABLE table_name_21 (
score VARCHAR,
venue VARCHAR,
champion VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the score of the match won by Willie Hunter at the Royal Liverpool Golf Club?
|
SELECT score FROM table_name_21 WHERE venue = "royal liverpool golf club" AND champion = "willie hunter"
|
sql_create_context
|
CREATE TABLE tasks (
task_id number,
project_id number,
task_details text,
eg agree objectives text
)
CREATE TABLE organisations (
organisation_id number,
organisation_type text,
organisation_details text
)
CREATE TABLE documents (
document_id number,
document_type_code text,
grant_id number,
sent_date time,
response_received_date time,
other_details text
)
CREATE TABLE grants (
grant_id number,
organisation_id number,
grant_amount number,
grant_start_date time,
grant_end_date time,
other_details text
)
CREATE TABLE research_outcomes (
outcome_code text,
outcome_description text
)
CREATE TABLE project_staff (
staff_id number,
project_id number,
role_code text,
date_from time,
date_to time,
other_details text
)
CREATE TABLE research_staff (
staff_id number,
employer_organisation_id number,
staff_details text
)
CREATE TABLE staff_roles (
role_code text,
role_description text
)
CREATE TABLE projects (
project_id number,
organisation_id number,
project_details text
)
CREATE TABLE project_outcomes (
project_id number,
outcome_code text,
outcome_details text
)
CREATE TABLE document_types (
document_type_code text,
document_description text
)
CREATE TABLE organisation_types (
organisation_type text,
organisation_type_description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which document type is described with the prefix 'Initial'?
|
SELECT document_type_code FROM document_types WHERE document_description LIKE 'Initial%'
|
spider
|
CREATE TABLE table_7098 (
"Year" real,
"Album" text,
"U.S." text,
"U.S. Christian" text,
"U.S. Indie" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest Year with an Album that is live love in London?
|
SELECT MIN("Year") FROM table_7098 WHERE "Album" = 'live love in london'
|
wikisql
|
CREATE TABLE table_28576 (
"Country" text,
"Area (km\u00b2) 2010" real,
"Population 2011" real,
"GDP (PPP) ( Intl. $ ) 2011" text,
"GDP (PPP) per capita ( Intl. $ ) 2011" text,
"Income inequality 1992-2010 (latest available)" text,
"HDI 2012" text,
"FSI 2012" text,
"CPI 2012" text,
"IEF 2013" text,
"GPI 2012" text,
"WPFI 2013" text,
"DI 2012" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the fsi 2012 for 42.7 cpi
|
SELECT "FSI 2012" FROM table_28576 WHERE "CPI 2012" = '42.7'
|
wikisql
|
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE 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 transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost 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 procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the name of the output, which patient 8888 had first in a day before?
|
SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT outputevents.itemid FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8888)) AND DATETIME(outputevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') ORDER BY outputevents.charttime LIMIT 1)
|
mimic_iii
|
CREATE TABLE table_name_84 (
surface VARCHAR,
opponent_in_the_final VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- On which surface did Mathieu play against Antonio Vei ?
|
SELECT surface FROM table_name_84 WHERE opponent_in_the_final = "antonio veić"
|
sql_create_context
|
CREATE TABLE table_210279_2 (
area__km_2__ VARCHAR,
barangay VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the area where barangay is guadalupe viejo?
|
SELECT area__km_2__ FROM table_210279_2 WHERE barangay = "Guadalupe Viejo"
|
sql_create_context
|
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- whats the first height of patient 032-9230 on their current hospital visit?
|
SELECT patient.admissionheight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '032-9230' AND patient.hospitaldischargetime IS NULL) AND NOT patient.admissionheight IS NULL ORDER BY patient.unitadmittime LIMIT 1
|
eicu
|
CREATE TABLE jyjgzbb (
JYZBLSH text,
YLJGDM text,
BGDH text,
BGRQ time,
JYRQ time,
JCRGH text,
JCRXM text,
SHRGH text,
SHRXM text,
JCXMMC text,
JCZBDM text,
JCFF text,
JCZBMC text,
JCZBJGDX text,
JCZBJGDL number,
JCZBJGDW text,
SBBM text,
YQBH text,
YQMC text,
CKZFWDX text,
CKZFWXX number,
CKZFWSX number,
JLDW text
)
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE mzjzjlb (
YLJGDM text,
JZLSH text,
KH text,
KLX number,
MJZH text,
HZXM text,
NLS number,
NLY number,
ZSEBZ number,
JZZTDM number,
JZZTMC text,
JZJSSJ time,
TXBZ number,
ZZBZ number,
WDBZ number,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
ZZYSGH text,
QTJZYSGH text,
JZZDBM text,
JZZDSM text,
MZZYZDZZBM text,
MZZYZDZZMC text,
SG number,
TZ number,
TW number,
SSY number,
SZY number,
XL number,
HXPLC number,
ML number,
JLSJ time
)
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
JYKSBM text,
JYKSMC text,
BGJGDM text,
BGJGMC text,
SQRQ time,
CJRQ time,
JYRQ time,
BGSJ time,
BBDM text,
BBMC text,
JYBBH text,
BBZT number,
BBCJBW text,
JSBBSJ time,
JYXMMC text,
JYXMDM text,
JYSQJGMC text,
JYJGMC text,
JSBBRQSJ time,
JYJSQM text,
JYJSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 经过门诊就诊的病号97338418415用的卡的卡号以及卡类型是什么呢？
|
SELECT KH, KLX FROM mzjzjlb WHERE JZLSH = '97338418415'
|
css
|
CREATE TABLE table_27679 (
"Position" text,
"Number" real,
"Horse" text,
"Jockey" text,
"Age" real,
"Handicap" text,
"SP" text,
"Distance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the handicap where the distance is 9 lengths?
|
SELECT "Handicap" FROM table_27679 WHERE "Distance" = '9 lengths'
|
wikisql
|
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_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_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.
-- 零二年七月二十六号起至一五年八月十六0952187这个医疗机构接诊的未从业患者总医疗费大于7027.62元的就诊记录数量
|
SELECT COUNT(*) FROM t_kc21 WHERE t_kc21.MED_SER_ORG_NO = '0952187' AND t_kc21.IN_HOSP_DATE BETWEEN '2002-07-26' AND '2015-08-16' AND t_kc21.INSURED_STS = '未就业' AND t_kc21.MED_AMOUT >= 7027.62
|
css
|
CREATE TABLE Orders (
order_id INTEGER,
customer_id INTEGER,
order_status VARCHAR(10),
date_order_placed DATETIME,
order_details VARCHAR(255)
)
CREATE TABLE Shipments (
shipment_id INTEGER,
order_id INTEGER,
invoice_number INTEGER,
shipment_tracking_number VARCHAR(80),
shipment_date DATETIME,
other_shipment_details VARCHAR(255)
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
product_id INTEGER,
order_id INTEGER,
order_item_status VARCHAR(10),
order_item_details VARCHAR(255)
)
CREATE TABLE Invoices (
invoice_number INTEGER,
invoice_date DATETIME,
invoice_details VARCHAR(255)
)
CREATE TABLE Products (
product_id INTEGER,
product_name VARCHAR(80),
product_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_name VARCHAR(80),
customer_details VARCHAR(255)
)
CREATE TABLE Shipment_Items (
shipment_id INTEGER,
order_item_id INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A bar chart for what are the number of the dates of the orders made by the customer named 'Jeramie'?
|
SELECT date_order_placed, COUNT(date_order_placed) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.customer_name = "Jeramie"
|
nvbench
|
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE hz_info_zyjzjlb (
JZLSH number,
YLJGDM number,
zyjzjlb_id number
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
zyjzjlb_id number
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 病患何嘉悦在02年4月18日到2020年5月25日内所有的检验结果指标记录中检测人是冯婉娜时检验指标流水号是多少？
|
SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '何嘉悦' AND jyjgzbb.JYRQ BETWEEN '2002-04-18' AND '2020-05-25' AND jyjgzbb.JCRGH = '冯婉娜' UNION SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb 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.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH 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 = '何嘉悦' AND jyjgzbb.JYRQ BETWEEN '2002-04-18' AND '2020-05-25' AND jyjgzbb.JCRXM = '冯婉娜'
|
css
|
CREATE TABLE table_39914 (
"Game" real,
"March" real,
"Opponent" text,
"Score" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which record's march was 26?
|
SELECT "Record" FROM table_39914 WHERE "March" = '26'
|
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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jybgb_jyjgzbb (
JYZBLSH number,
YLJGDM text,
jyjgzbb_id number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
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,
YQBH text,
YQMC text,
jyjgzbb_id number
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 给病人02234270做检验的科室编码及名称是什么，在09444918372的这次医疗就诊中
|
SELECT jybgb.JYKSBM, jybgb.JYKSMC FROM jybgb WHERE jybgb.JZLSH = '09444918372'
|
css
|
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE 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.
-- 孔傲晴病患在医院9262295的门诊就诊中，有哪些就诊科室名包含遗传的所有门诊就诊记录的流水号信息
|
SELECT mzjzjlb.JZLSH FROM person_info JOIN hz_info JOIN mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE person_info.XM = '孔傲晴' AND hz_info.YLJGDM = '9262295' AND mzjzjlb.JZKSMC LIKE '%遗传%'
|
css
|
CREATE TABLE table_52911 (
"Name" text,
"Height" text,
"Weight" text,
"Spike" text,
"2008 club" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was in the 2008 club of gabeca montichiari?
|
SELECT "Name" FROM table_52911 WHERE "2008 club" = 'gabeca montichiari'
|
wikisql
|
CREATE TABLE table_26032940_2 (
network_tv_run_time VARCHAR,
episode__number VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many runtimes does episode 53 have?
|
SELECT COUNT(network_tv_run_time) FROM table_26032940_2 WHERE episode__number = 53
|
sql_create_context
|
CREATE TABLE table_68881 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" real,
"Time" text,
"Location" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the result of the fight with Tony Halme?
|
SELECT "Res." FROM table_68881 WHERE "Opponent" = 'tony halme'
|
wikisql
|
CREATE TABLE table_201_14 (
id number,
"crossing" text,
"carries" text,
"location" text,
"coordinates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which bridge is in delaware and carries de 9 ?
|
SELECT "crossing" FROM table_201_14 WHERE "location" = 'delaware' AND "carries" = 'de 9'
|
squall
|
CREATE TABLE table_46711 (
"Name of System" text,
"Location" text,
"Traction Type" text,
"Date (From)" text,
"Date (To)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which date has date started from 30 Sep 1913?
|
SELECT "Date (To)" FROM table_46711 WHERE "Date (From)" = '30 sep 1913'
|
wikisql
|
CREATE TABLE table_name_41 (
Id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average 2001 value with a 2010 value greater than 414, a 2011 value of 7192, and a 2005 value larger than 7340?
|
SELECT AVG(2001) FROM table_name_41 WHERE 2010 > 414 AND 2011 = 7192 AND 2005 > 7340
|
sql_create_context
|
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 labevents (
row_id number,
subject_id number,
hadm_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 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 chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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 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 cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- tell me the number of times retrograde pyelogram is done until 1 year ago?
|
SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'retrograde pyelogram') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')
|
mimic_iii
|
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