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### Context: CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_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.
-- 医院1692026全部医疗就诊的记录里，依据科室编码和出院诊断的不同算一算患者平均多大年纪
### Query: SELECT t_kc21.MED_ORG_DEPT_CD, t_kc21.OUT_DIAG_DIS_NM, AVG(t_kc21.PERSON_AGE) FROM t_kc21 WHERE t_kc21.MED_SER_ORG_NO = '1692026' GROUP BY t_kc21.MED_ORG_DEPT_CD, t_kc21.OUT_DIAG_DIS_NM |
### Context: CREATE TABLE table_45019 (
"Player" text,
"Position" text,
"Premier League" real,
"FA Cup" real,
"League Cup" real,
"UEFA Cup" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What player had less than 6 appearances at the FA cup, 33 at the premier league, and more than 5 at the UEFA cup?
### Query: SELECT "Player" FROM table_45019 WHERE "FA Cup" < '6' AND "Premier League" = '33' AND "UEFA Cup" > '5' |
### Context: CREATE TABLE table_7069 (
"Date" text,
"Opponent" text,
"Location" text,
"Result" text,
"Attendance" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the highest attendance when the result was L 6-28?
### Query: SELECT MAX("Attendance") FROM table_7069 WHERE "Result" = 'l 6-28' |
### Context: 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 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 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 inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the diagnosis of patient 20066 for the last time until 2104?
### Query: SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT diagnoses_icd.icd9_code FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20066) AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104' ORDER BY diagnoses_icd.charttime DESC LIMIT 1) |
### Context: CREATE TABLE table_4109 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Viewers *" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many different title names had 358,000 viewers?
### Query: SELECT COUNT("Title") FROM table_4109 WHERE "Viewers *" = '358,000' |
### Context: CREATE TABLE table_name_34 (
listed VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When was the oakachoy covered bridge listed?
### Query: SELECT listed FROM table_name_34 WHERE name = "oakachoy covered bridge" |
### Context: 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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE 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 FlagTypes (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- # of votes by question (for a specific user).
### Query: SELECT p.Id AS "post_link", p.CreationDate, COUNT(v.VoteTypeId) AS "#_votes" FROM Posts AS p LEFT OUTER JOIN Votes AS v ON v.PostId = p.Id WHERE p.OwnerUserId = '##UserID##' AND VoteTypeId IN (1, 2, 3, 5, NULL) GROUP BY p.Id, p.CreationDate ORDER BY p.CreationDate |
### Context: CREATE TABLE zyjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
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,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM number,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE mzjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
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,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM number,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 以前患者07290816有过什么异常情况吗？
### Query: SELECT * FROM hz_info JOIN mzjzjlb JOIN zyjybgb JOIN jyjgzbb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = zyjybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = zyjybgb.JZLSH_MZJZJLB AND zyjybgb.YLJGDM = jyjgzbb.YLJGDM AND zyjybgb.BGDH = jyjgzbb.BGDH WHERE hz_info.RYBH = '07290816' AND jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX UNION SELECT * FROM hz_info JOIN mzjzjlb JOIN mzjybgb JOIN jyjgzbb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = mzjybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = mzjybgb.JZLSH_MZJZJLB AND mzjybgb.YLJGDM = jyjgzbb.YLJGDM AND mzjybgb.BGDH = jyjgzbb.BGDH WHERE hz_info.RYBH = '07290816' AND jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX UNION SELECT * FROM hz_info JOIN zyjzjlb JOIN zyjybgb JOIN jyjgzbb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = zyjybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = zyjybgb.JZLSH_ZYJZJLB AND zyjybgb.YLJGDM = jyjgzbb.YLJGDM AND zyjybgb.BGDH = jyjgzbb.BGDH WHERE hz_info.RYBH = '07290816' AND jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX UNION SELECT * FROM hz_info JOIN zyjzjlb JOIN mzjybgb JOIN jyjgzbb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = mzjybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = mzjybgb.JZLSH_ZYJZJLB AND mzjybgb.YLJGDM = jyjgzbb.YLJGDM AND mzjybgb.BGDH = jyjgzbb.BGDH WHERE hz_info.RYBH = '07290816' AND jyjgzbb.JCZBJGDL < jyjgzbb.CKZFWXX OR jyjgzbb.JCZBJGDL > jyjgzbb.CKZFWSX |
### Context: CREATE TABLE table_203_499 (
id number,
"place" text,
"player" text,
"country" text,
"score" text,
"to par" number,
"money ($)" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which other player scored the same as the player from japan ?
### Query: SELECT "player" FROM table_203_499 WHERE "country" <> 'japan' AND "score" = (SELECT "score" FROM table_203_499 WHERE "country" = 'japan') |
### Context: CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value 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 labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE 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 chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE 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.
-- what's the name of the diagnosis that patient 77177 was given for the first time until 2101?
### Query: SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT diagnoses_icd.icd9_code FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 77177) AND STRFTIME('%y', diagnoses_icd.charttime) <= '2101' ORDER BY diagnoses_icd.charttime LIMIT 1) |
### Context: CREATE TABLE table_name_26 (
race_title VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which race happened in 1948?
### Query: SELECT race_title FROM table_name_26 WHERE year = 1948 |
### Context: CREATE TABLE table_20843 (
"C/W 15+" real,
"Oblast\\Age" text,
"15 to 17" real,
"18 to 19" real,
"20 to 24" real,
"25 to 29" real,
"30 to 34" real,
"35 to 39" real,
"40 to 44" real,
"45 to 49" real,
"50 to 54" real,
"55 to 59" real,
"60 to 64" real,
"65 to 69" real,
"70+" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number for 65-69 where 50-54 is 1571?
### Query: SELECT "65 to 69" FROM table_20843 WHERE "50 to 54" = '1571' |
### Context: CREATE TABLE table_2524 (
"Rank" real,
"School" text,
"Basic Elements" real,
"Tumbling" real,
"Stunts" text,
"Pyramids" text,
"Tosses" text,
"Deductions" text,
"Total" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is every school with basic elements of 52?
### Query: SELECT "School" FROM table_2524 WHERE "Basic Elements" = '52' |
### Context: 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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the last time in a month before patient 006-1634 received a bedside glucose lab test?
### Query: SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-1634')) AND lab.labname = 'bedside glucose' AND DATETIME(lab.labresulttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY lab.labresulttime DESC LIMIT 1 |
### 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 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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE mzjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
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,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM number,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE zyjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
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,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM number,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 内有几个科室在2007年3月29日到2008年4月25日之间在医院1746368门诊就诊中开出超过28张检验报告单啊？
### Query: SELECT COUNT(*) FROM (SELECT zyjybgb.KSBM FROM mzjzjlb JOIN zyjybgb ON mzjzjlb.YLJGDM = zyjybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = zyjybgb.JZLSH_MZJZJLB WHERE mzjzjlb.YLJGDM = '1746368' AND zyjybgb.BGRQ BETWEEN '2007-03-29' AND '2008-04-25' GROUP BY zyjybgb.KSBM HAVING COUNT(*) > 28 UNION SELECT mzjybgb.KSBM FROM mzjzjlb JOIN mzjybgb ON mzjzjlb.YLJGDM = mzjybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = mzjybgb.JZLSH_MZJZJLB WHERE mzjzjlb.YLJGDM = '1746368' AND mzjybgb.BGRQ BETWEEN '2007-03-29' AND '2008-04-25' GROUP BY mzjybgb.KSBM HAVING COUNT(*) > 28) AS T |
### 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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- provide the number of patients whose diagnoses long title is abnormal coagulation profile?
### Query: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Abnormal coagulation profile" |
### Context: CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- papers at pldi
### Query: SELECT DISTINCT paper.paperid FROM paper, venue WHERE venue.venueid = paper.venueid AND venue.venuename = 'pldi' |
### Context: CREATE TABLE table_70527 (
"Name" text,
"Country" text,
"Status" text,
"Transfer window" text,
"Transfer fee" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What shows as the status for Diogo?
### Query: SELECT "Status" FROM table_70527 WHERE "Name" = 'diogo' |
### Context: CREATE TABLE school (
School_ID int,
Grade text,
School text,
Location text,
Type text
)
CREATE TABLE driver (
Driver_ID int,
Name text,
Party text,
Home_city text,
Age int
)
CREATE TABLE school_bus (
School_ID int,
Driver_ID int,
Years_Working int,
If_full_time bool
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the comparison of the total number of the home city of all drivers with a bar chart, and rank Y in asc order.
### Query: SELECT Home_city, COUNT(Home_city) FROM driver GROUP BY Home_city ORDER BY COUNT(Home_city) |
### Context: CREATE TABLE table_5338 (
"Date" text,
"Home captain" text,
"Away captain" text,
"Venue" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What date has aus by 382 runs as the result?
### Query: SELECT "Date" FROM table_5338 WHERE "Result" = 'aus by 382 runs' |
### Context: CREATE TABLE film_market_estimation (
TYPE VARCHAR,
YEAR VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the types of film market estimations in year 1995?
### Query: SELECT TYPE FROM film_market_estimation WHERE YEAR = 1995 |
### Context: CREATE TABLE table_37675 (
"Driver" text,
"Team" text,
"Laps" real,
"Time/Retired" text,
"Grid" real,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the grid of pkv racing with the driver oriol servi ?
### Query: SELECT SUM("Grid") FROM table_37675 WHERE "Team" = 'pkv racing' AND "Driver" = 'oriol servià' |
### Context: CREATE TABLE election (
Election_ID int,
Counties_Represented text,
District int,
Delegate text,
Party int,
First_Elected real,
Committee text
)
CREATE TABLE county (
County_Id int,
County_name text,
Population real,
Zip_code text
)
CREATE TABLE party (
Party_ID int,
Year real,
Party text,
Governor text,
Lieutenant_Governor text,
Comptroller text,
Attorney_General text,
US_Senate text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A bar chart for finding the number of the parties associated with the delegates from district 1 or 2 Who served as comptrollers of the parties?, sort names in desc order.
### Query: SELECT Comptroller, COUNT(Comptroller) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2 GROUP BY Comptroller ORDER BY Comptroller DESC |
### Context: CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients whose primary disease is brain mass;intracranial hemorrhage and lab test fluid is ascites?
### Query: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" AND lab.fluid = "Ascites" |
### Context: CREATE TABLE table_45086 (
"Position" real,
"Team" text,
"Played" real,
"Drawn" real,
"Lost" real,
"Goals For" real,
"Goals Against" real,
"Goal Difference" text,
"Points 1" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the fewest goals for when goal difference is +10 and goals against is more than 61?
### Query: SELECT MIN("Goals For") FROM table_45086 WHERE "Goal Difference" = '+10' AND "Goals Against" > '61' |
### Context: CREATE TABLE table_24051050_1 (
challengers__female_ VARCHAR,
episode VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which female challengers featured in episode 28?
### Query: SELECT challengers__female_ FROM table_24051050_1 WHERE episode = 28 |
### Context: CREATE TABLE mzb (
CLINIC_ID 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,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE qtb (
CLINIC_ID 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,
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 zyb (
CLINIC_ID 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,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE gyb (
CLINIC_ID 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,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 总计医疗记录中医院6353786的出院诊断为胆囊炎的最高和最低医疗费总额分别有多少钱？
### Query: SELECT MIN(t_kc24.MED_AMOUT), MAX(t_kc24.MED_AMOUT) FROM t_kc24 WHERE t_kc24.MED_CLINIC_ID IN (SELECT qtb.MED_CLINIC_ID FROM qtb WHERE qtb.MED_SER_ORG_NO = '6353786' AND qtb.OUT_DIAG_DIS_NM = '胆囊炎' UNION SELECT gyb.MED_CLINIC_ID FROM gyb WHERE gyb.MED_SER_ORG_NO = '6353786' AND gyb.OUT_DIAG_DIS_NM = '胆囊炎' UNION SELECT zyb.MED_CLINIC_ID FROM zyb WHERE zyb.MED_SER_ORG_NO = '6353786' AND zyb.OUT_DIAG_DIS_NM = '胆囊炎' UNION SELECT mzb.MED_CLINIC_ID FROM mzb WHERE mzb.MED_SER_ORG_NO = '6353786' AND mzb.OUT_DIAG_DIS_NM = '胆囊炎') |
### Context: CREATE TABLE table_61362 (
"Club" text,
"First season in top division" text,
"Number of seasons in top division" real,
"First season of current spell in top division" text,
"Number of seasons in Liga MX" real,
"Top division titles" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest Number of seasons in Liga MX for Club cruz azul?
### Query: SELECT MAX("Number of seasons in Liga MX") FROM table_61362 WHERE "Club" = 'cruz azul' |
### Context: CREATE TABLE table_36837 (
"Surname" text,
"First" text,
"D.O.B." text,
"Bats" text,
"Throws" text,
"Position" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many bats does Todd have?
### Query: SELECT "Bats" FROM table_36837 WHERE "First" = 'todd' |
### Context: CREATE TABLE table_56954 (
"Entrant" text,
"Constructor" text,
"Chassis" text,
"Tyre" text,
"Driver" text,
"Rounds" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who constructed Gerhard Berger car that went all rounds?
### Query: SELECT "Constructor" FROM table_56954 WHERE "Rounds" = 'all' AND "Driver" = 'gerhard berger' |
### Context: CREATE TABLE table_38360 (
"Season" text,
"Player" text,
"Position" text,
"Nationality" text,
"Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Nationality has the Player of Marcus Walker?
### Query: SELECT "Nationality" FROM table_38360 WHERE "Player" = 'marcus walker' |
### Context: CREATE TABLE table_64856 (
"School" text,
"Location" text,
"Mascot" text,
"Enrollment" real,
"IHSAA Class" text,
"IHSAA Football Class" text,
"# / County" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which School has a #/ County of 85 wabash, and an IHSAA Football Class of A, and a Mascot of norsemen?
### Query: SELECT "School" FROM table_64856 WHERE "# / County" = '85 wabash' AND "IHSAA Football Class" = 'a' AND "Mascot" = 'norsemen' |
### Context: CREATE TABLE table_29499399_2 (
money_list_rank VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Jonathan Kaye's money list ranking?
### Query: SELECT COUNT(money_list_rank) FROM table_29499399_2 WHERE player = "Jonathan Kaye" |
### Context: CREATE TABLE table_15635 (
"Year" real,
"Number of Users" text,
"Penetration" text,
"Number of Broadband Subscribers" text,
"Broadband Penetration" text,
"Population" text,
"Data provided by" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many broadband subscribers are there where there are ~47,372 users?
### Query: SELECT "Number of Broadband Subscribers" FROM table_15635 WHERE "Number of Users" = '~47,372' |
### Context: CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime 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 lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE 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.
-- how many hours have it been since the last stay of patient 006-133605 during this hospital visit in the ward 384?
### Query: SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.unitadmittime)) FROM patient WHERE patient.uniquepid = '006-133605' AND patient.wardid = 384 AND patient.hospitaldischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1 |
### Context: CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG number,
FLX_MED_ORG_ID text,
MED_SER_ORG_NO text,
CLINIC_TYPE text,
MED_TYPE number,
CLINIC_ID text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
INPT_AREA_BED text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
MAIN_COND_DES text,
INSU_TYPE text,
IN_HOSP_DAYS number,
MED_AMOUT number,
FERTILITY_STS number,
DATA_ID text,
SYNC_TIME time,
REIMBURSEMENT_FLG number,
HOSP_LEV number,
HOSP_STS number,
INSURED_IDENTITY number,
SERVANT_FLG text,
TRADE_TYPE number,
INSURED_STS text,
REMOTE_SETTLE_FLG text
)
CREATE TABLE t_kc24 (
MED_SAFE_PAY_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
REF_SLT_FLG number,
CLINIC_SLT_DATE time,
COMP_ID text,
PERSON_ID text,
FLX_MED_ORG_ID text,
INSU_TYPE text,
MED_AMOUT number,
PER_ACC_PAY number,
OVE_PAY number,
ILL_PAY number,
CIVIL_SUBSIDY number,
PER_SOL number,
PER_EXP number,
DATA_ID text,
SYNC_TIME time,
OUT_HOSP_DATE time,
CLINIC_ID text,
MED_TYPE number,
INSURED_STS text,
INSURED_IDENTITY number,
TRADE_TYPE number,
RECIPE_BILL_ID text,
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
RECEIVER_DEAL_ID text,
SENDER_REVOKE_ID text,
RECEIVER_REVOKE_ID text,
SENDER_OFFSET_ID text,
RECEIVER_OFFSET_ID text,
LAS_OVE_PAY number,
OVE_ADD_PAY number,
SUP_ADD_PAY number,
CKC102 number,
CASH_PAY number,
COM_ACC_PAY number,
ENT_ACC_PAY number,
ENT_PAY number,
COM_PAY number,
OLDC_FUND_PAY number,
SPE_FUND_PAY number
)
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,
VAL_UNIT text,
DOSE_UNIT text,
DOSE_FORM text,
SPEC text,
USE_FRE text,
EACH_DOSAGE text,
QTY number,
UNIVALENT number,
AMOUNT number,
SELF_PAY_PRO number,
RER_SOL number,
SELF_PAY_AMO number,
UP_LIMIT_AMO number,
OVE_SELF_AMO number,
EXP_OCC_DATE time,
RECIPE_BILL_ID text,
FLX_MED_ORG_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
REF_STA_FLG number,
DATA_ID text,
SYNC_TIME time,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
TRADE_TYPE number,
STA_FLG number,
STA_DATE time,
REIMBURS_TYPE number,
FXBZ number,
REMOTE_SETTLE_FLG text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 按照科室和出院诊断所患疾病的不同编码，把医院4313090所有医疗就诊记录中病人的平均年龄列出来
### Query: SELECT MED_ORG_DEPT_CD, OUT_DIAG_DIS_CD, AVG(PERSON_AGE) FROM t_kc21 WHERE MED_SER_ORG_NO = '4313090' GROUP BY MED_ORG_DEPT_CD, OUT_DIAG_DIS_CD |
### Context: CREATE TABLE Accounts (
account_id VARCHAR,
date_account_opened VARCHAR,
account_name VARCHAR,
other_account_details VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the id, the date of account opened, the account name, and other account detail for all accounts.
### Query: SELECT account_id, date_account_opened, account_name, other_account_details FROM Accounts |
### Context: CREATE TABLE table_54358 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Round" real,
"Time" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which method has a record of 11-10?
### Query: SELECT "Method" FROM table_54358 WHERE "Record" = '11-10' |
### Context: CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients whose diagnoses long title is chronic total occlusion of coronary artery and drug name is ondansetron?
### Query: 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 = "Chronic total occlusion of coronary artery" AND prescriptions.drug = "Ondansetron" |
### Context: CREATE TABLE table_name_71 (
athlete VARCHAR,
country VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the athlete from Hong Kong?
### Query: SELECT athlete FROM table_name_71 WHERE country = "hong kong" |
### Context: CREATE TABLE table_name_44 (
drafting_team VARCHAR,
graduated VARCHAR,
college_prior VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who drafted the player from Michigan after 2010?
### Query: SELECT drafting_team FROM table_name_44 WHERE graduated > 2010 AND college_prior = "michigan" |
### Context: CREATE TABLE manager_award_vote (
award_id text,
year number,
league_id text,
player_id text,
points_won number,
points_max number,
votes_first number
)
CREATE TABLE park (
park_id text,
park_name text,
park_alias text,
city text,
state text,
country text
)
CREATE TABLE team_half (
year number,
league_id text,
team_id text,
half number,
div_id text,
div_win text,
rank number,
g number,
w number,
l number
)
CREATE TABLE fielding_outfield (
player_id text,
year number,
stint number,
glf number,
gcf number,
grf number
)
CREATE TABLE all_star (
player_id text,
year number,
game_num number,
game_id text,
team_id text,
league_id text,
gp number,
starting_pos number
)
CREATE TABLE postseason (
year number,
round text,
team_id_winner text,
league_id_winner text,
team_id_loser text,
league_id_loser text,
wins number,
losses number,
ties number
)
CREATE TABLE player (
player_id text,
birth_year number,
birth_month number,
birth_day number,
birth_country text,
birth_state text,
birth_city text,
death_year number,
death_month number,
death_day number,
death_country text,
death_state text,
death_city text,
name_first text,
name_last text,
name_given text,
weight number,
height number,
bats text,
throws text,
debut text,
final_game text,
retro_id text,
bbref_id text
)
CREATE TABLE appearances (
year number,
team_id text,
league_id text,
player_id text,
g_all number,
gs number,
g_batting number,
g_defense number,
g_p number,
g_c number,
g_1b number,
g_2b number,
g_3b number,
g_ss number,
g_lf number,
g_cf number,
g_rf number,
g_of number,
g_dh number,
g_ph number,
g_pr number
)
CREATE TABLE college (
college_id text,
name_full text,
city text,
state text,
country text
)
CREATE TABLE fielding_postseason (
player_id text,
year number,
team_id text,
league_id text,
round text,
pos text,
g number,
gs number,
inn_outs number,
po number,
a number,
e number,
dp number,
tp number,
pb number,
sb number,
cs number
)
CREATE TABLE pitching_postseason (
player_id text,
year number,
round text,
team_id text,
league_id text,
w number,
l number,
g number,
gs number,
cg number,
sho number,
sv number,
ipouts number,
h number,
er number,
hr number,
bb number,
so number,
baopp text,
era number,
ibb number,
wp number,
hbp number,
bk number,
bfp number,
gf number,
r number,
sh number,
sf number,
g_idp number
)
CREATE TABLE batting_postseason (
year number,
round text,
player_id text,
team_id text,
league_id text,
g number,
ab number,
r number,
h number,
double number,
triple number,
hr number,
rbi number,
sb number,
cs number,
bb number,
so number,
ibb number,
hbp number,
sh number,
sf number,
g_idp number
)
CREATE TABLE team_franchise (
franchise_id text,
franchise_name text,
active text,
na_assoc text
)
CREATE TABLE player_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
notes text
)
CREATE TABLE manager_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
notes number
)
CREATE TABLE manager_half (
player_id text,
year number,
team_id text,
league_id text,
inseason number,
half number,
g number,
w number,
l number,
rank number
)
CREATE TABLE manager (
player_id text,
year number,
team_id text,
league_id text,
inseason number,
g number,
w number,
l number,
rank number,
plyr_mgr text
)
CREATE TABLE fielding (
player_id text,
year number,
stint number,
team_id text,
league_id text,
pos text,
g number,
gs number,
inn_outs number,
po number,
a number,
e number,
dp number,
pb number,
wp number,
sb number,
cs number,
zr number
)
CREATE TABLE player_award_vote (
award_id text,
year number,
league_id text,
player_id text,
points_won number,
points_max number,
votes_first number
)
CREATE TABLE player_college (
player_id text,
college_id text,
year number
)
CREATE TABLE hall_of_fame (
player_id text,
yearid number,
votedby text,
ballots number,
needed number,
votes number,
inducted text,
category text,
needed_note text
)
CREATE TABLE batting (
player_id text,
year number,
stint number,
team_id text,
league_id text,
g number,
ab number,
r number,
h number,
double number,
triple number,
hr number,
rbi number,
sb number,
cs number,
bb number,
so number,
ibb number,
hbp number,
sh number,
sf number,
g_idp number
)
CREATE TABLE pitching (
player_id text,
year number,
stint number,
team_id text,
league_id text,
w number,
l number,
g number,
gs number,
cg number,
sho number,
sv number,
ipouts number,
h number,
er number,
hr number,
bb number,
so number,
baopp number,
era number,
ibb number,
wp number,
hbp number,
bk number,
bfp number,
gf number,
r number,
sh number,
sf number,
g_idp number
)
CREATE TABLE salary (
year number,
team_id text,
league_id text,
player_id text,
salary number
)
CREATE TABLE home_game (
year number,
league_id text,
team_id text,
park_id text,
span_first text,
span_last text,
games number,
openings number,
attendance number
)
CREATE TABLE team (
year number,
league_id text,
team_id text,
franchise_id text,
div_id text,
rank number,
g number,
ghome number,
w number,
l number,
div_win text,
wc_win text,
lg_win text,
ws_win text,
r number,
ab number,
h number,
double number,
triple number,
hr number,
bb number,
so number,
sb number,
cs number,
hbp number,
sf number,
ra number,
er number,
era number,
cg number,
sho number,
sv number,
ipouts number,
ha number,
hra number,
bba number,
soa number,
e number,
dp number,
fp number,
name text,
park text,
attendance number,
bpf number,
ppf number,
team_id_br text,
team_id_lahman45 text,
team_id_retro text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List players' first name and last name who have weight greater than 220 or height shorter than 75.
### Query: SELECT name_first, name_last FROM player WHERE weight > 220 OR height < 75 |
### Context: CREATE TABLE table_18701 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Result" text,
"Candidates" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who is the the incumbent with candidates being percy e. quin (d) unopposed
### Query: SELECT "Incumbent" FROM table_18701 WHERE "Candidates" = 'Percy E. Quin (D) Unopposed' |
### Context: CREATE TABLE table_33843 (
"Kanji" text,
"Name (Translation)" text,
"Builder" text,
"Laid down" text,
"Launched" text,
"Completed" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which builder is associated with ikazuchi 'thunder'?
### Query: SELECT "Builder" FROM table_33843 WHERE "Name (Translation)" = 'ikazuchi "thunder' |
### Context: CREATE TABLE table_5859 (
"District" real,
"Incumbent" text,
"Party" text,
"Elected" real,
"Status" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What party has a district of 28 and was elected after 1983?
### Query: SELECT "Party" FROM table_5859 WHERE "Elected" > '1983' AND "District" = '28' |
### Context: CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is offered for CS majors that are upper level electives ?
### Query: SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id |
### Context: CREATE TABLE table_64182 (
"Rank" real,
"Rowers" text,
"Country" text,
"Time" text,
"Notes" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Poland has what notes?
### Query: SELECT "Notes" FROM table_64182 WHERE "Country" = 'poland' |
### Context: CREATE TABLE table_9544 (
"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 was the average total for the player from the United States, who won in 1978?
### Query: SELECT AVG("Total") FROM table_9544 WHERE "Country" = 'united states' AND "Year(s) won" = '1978' |
### Context: CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients staying in the hospital for more than 5 days were diagnosed under icd9 code 30400?
### Query: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "5" AND diagnoses.icd9_code = "30400" |
### Context: CREATE TABLE table_name_24 (
label VARCHAR,
region VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What label does Germany have?
### Query: SELECT label FROM table_name_24 WHERE region = "germany" |
### Context: CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE 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 dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the earliest flight that i can get from BWI to BOS logan
### Query: SELECT DISTINCT flight.flight_id FROM airport AS AIRPORT_0, airport AS AIRPORT_1, flight WHERE (AIRPORT_0.airport_code = 'BWI' AND AIRPORT_1.airport_code = 'BOS' AND flight.from_airport = AIRPORT_0.airport_code AND flight.to_airport = AIRPORT_1.airport_code) AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport AS AIRPORTalias2, airport AS AIRPORTalias3, flight AS FLIGHTalias1 WHERE AIRPORTalias2.airport_code = 'BWI' AND AIRPORTalias3.airport_code = 'BOS' AND FLIGHTalias1.from_airport = AIRPORTalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORTalias3.airport_code) |
### Context: CREATE TABLE table_train_212 (
"id" int,
"pregnancy_or_lactation" bool,
"postmeal_c_peptide" float,
"chemotherapy" bool,
"liver_disease" bool,
"alcohol_abuse" bool,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- postmeal c peptide > 0.3 mg / dl
### Query: SELECT * FROM table_train_212 WHERE postmeal_c_peptide > 0.3 |
### Context: CREATE TABLE table_68263 (
"Name" text,
"Years" text,
"Gender" text,
"Area" text,
"Authority" text,
"Decile" real,
"Roll" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- tell me the authority that has a decile less than 6 and roll less than 65.
### Query: SELECT "Authority" FROM table_68263 WHERE "Decile" < '6' AND "Roll" < '65' |
### Context: CREATE TABLE table_77950 (
"Team" text,
"Points" real,
"Played" real,
"Drawn" real,
"Lost" real,
"Against" real,
"Diff" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the sum of the points of all teams that had against scores less than 14?
### Query: SELECT SUM("Points") FROM table_77950 WHERE "Against" < '14' |
### Context: CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees who did not have any job in the past, visualize a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by time, and I want to show from low to high by the Y-axis.
### Query: SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(MANAGER_ID) |
### Context: CREATE TABLE table_name_95 (
nationality VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What nationality has steve kerr as the player?
### Query: SELECT nationality FROM table_name_95 WHERE player = "steve kerr" |
### Context: CREATE TABLE t_kc24 (
MED_SAFE_PAY_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
REF_SLT_FLG number,
CLINIC_SLT_DATE time,
COMP_ID text,
PERSON_ID text,
FLX_MED_ORG_ID text,
INSU_TYPE text,
MED_AMOUT number,
PER_ACC_PAY number,
OVE_PAY number,
ILL_PAY number,
CIVIL_SUBSIDY number,
PER_SOL number,
PER_EXP number,
DATA_ID text,
SYNC_TIME time,
OUT_HOSP_DATE time,
CLINIC_ID text,
MED_TYPE number,
INSURED_STS text,
INSURED_IDENTITY number,
TRADE_TYPE number,
RECIPE_BILL_ID text,
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
RECEIVER_DEAL_ID text,
SENDER_REVOKE_ID text,
RECEIVER_REVOKE_ID text,
SENDER_OFFSET_ID text,
RECEIVER_OFFSET_ID text,
LAS_OVE_PAY number,
OVE_ADD_PAY number,
SUP_ADD_PAY number,
CKC102 number,
CASH_PAY number,
COM_ACC_PAY number,
ENT_ACC_PAY number,
ENT_PAY number,
COM_PAY number,
OLDC_FUND_PAY number,
SPE_FUND_PAY number
)
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,
VAL_UNIT text,
DOSE_UNIT text,
DOSE_FORM text,
SPEC text,
USE_FRE text,
EACH_DOSAGE text,
QTY number,
UNIVALENT number,
AMOUNT number,
SELF_PAY_PRO number,
RER_SOL number,
SELF_PAY_AMO number,
UP_LIMIT_AMO number,
OVE_SELF_AMO number,
EXP_OCC_DATE time,
RECIPE_BILL_ID text,
FLX_MED_ORG_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
REF_STA_FLG number,
DATA_ID text,
SYNC_TIME time,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
TRADE_TYPE number,
STA_FLG number,
STA_DATE time,
REIMBURS_TYPE number,
FXBZ number,
REMOTE_SETTLE_FLG text
)
CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG number,
FLX_MED_ORG_ID text,
MED_SER_ORG_NO text,
CLINIC_TYPE text,
MED_TYPE number,
CLINIC_ID text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
INPT_AREA_BED text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
MAIN_COND_DES text,
INSU_TYPE text,
IN_HOSP_DAYS number,
MED_AMOUT number,
FERTILITY_STS number,
DATA_ID text,
SYNC_TIME time,
REIMBURSEMENT_FLG number,
HOSP_LEV number,
HOSP_STS number,
INSURED_IDENTITY number,
SERVANT_FLG text,
TRADE_TYPE number,
INSURED_STS text,
REMOTE_SETTLE_FLG text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 对于患者22354212的医疗记录中医疗费总额不少于4694.23元的入院诊断疾病的编码和名称都是什么呀？
### Query: SELECT IN_DIAG_DIS_CD, IN_DIAG_DIS_NM FROM t_kc21 WHERE PERSON_ID = '22354212' AND MED_CLINIC_ID IN (SELECT MED_CLINIC_ID FROM t_kc24 WHERE MED_AMOUT >= 4694.23) |
### Context: CREATE TABLE table_41233 (
"Location" text,
"Aircraft" text,
"Tail number" text,
"Aircraft damage" text,
"Fatalities" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the tail number with 3/3 fatalities?
### Query: SELECT "Tail number" FROM table_41233 WHERE "Fatalities" = '3/3' |
### Context: CREATE TABLE table_name_82 (
pick__number INTEGER,
pl_gp VARCHAR,
rd__number VARCHAR,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What numbered pick was mattias ohlund, with over 52 PL GP, and also a round under 11?
### Query: SELECT SUM(pick__number) FROM table_name_82 WHERE rd__number < 11 AND player = "mattias ohlund" AND pl_gp > 52 |
### Context: 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 zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
CREATE TABLE 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 诊断门诊诊断31016439849的中医编号以及名称各是什么？
### Query: SELECT MZZYZDZZBM, MZZYZDZZMC FROM mzjzjlb WHERE JZLSH = '31016439849' |
### Context: CREATE TABLE table_79962 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the score of the game that had a loss of Drese (2-2)?
### Query: SELECT "Score" FROM table_79962 WHERE "Loss" = 'drese (2-2)' |
### Context: CREATE TABLE player_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
notes text
)
CREATE TABLE player (
player_id text,
birth_year text,
birth_month text,
birth_day text,
birth_country text,
birth_state text,
birth_city text,
death_year text,
death_month text,
death_day text,
death_country text,
death_state text,
death_city text,
name_first text,
name_last text,
name_given text,
weight text
)
CREATE TABLE player_award_vote (
award_id text,
year number,
league_id text,
player_id text,
points_won number,
points_max number,
votes_first text
)
CREATE TABLE salary (
year number,
team_id text,
league_id text,
player_id text,
salary number
)
CREATE TABLE hall_of_fame (
player_id text,
yearid number,
votedby text,
ballots text,
needed text,
votes text,
inducted text,
category text,
needed_note text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many players were awarded more than ten times?
### Query: SELECT COUNT(*) FROM (SELECT player_id FROM player_award GROUP BY player_id HAVING COUNT(*) > 10) |
### Context: CREATE TABLE table_name_70 (
label VARCHAR,
date VARCHAR,
catalogue VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Label for Date of 14 November 2003, and Catalogue tojp 60121-22?
### Query: SELECT label FROM table_name_70 WHERE date = "14 november 2003" AND catalogue = "tojp 60121-22" |
### Context: 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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
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 allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- is there a microbiology test that was performed on patient 031-3355's blood, venipuncture on their current hospital visit?
### Query: SELECT COUNT(*) FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-3355' AND patient.hospitaldischargetime IS NULL)) AND microlab.culturesite = 'blood, venipuncture' |
### Context: CREATE TABLE table_20468206_1 (
county VARCHAR,
mccain_percentage VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the county for mccain being 38.78%
### Query: SELECT county FROM table_20468206_1 WHERE mccain_percentage = "38.78%" |
### Context: CREATE TABLE table_name_38 (
year_of_first_appearance VARCHAR,
corps_name VARCHAR,
number_of_finals_appearances VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the year of the first appearance of the Black Knights, who had less than 1 finals appearances?
### Query: SELECT COUNT(year_of_first_appearance) FROM table_name_38 WHERE corps_name = "black knights" AND number_of_finals_appearances < 1 |
### Context: CREATE TABLE table_12186 (
"Week 1" text,
"Week 2" text,
"Week 3" text,
"Week 4" text,
"Week 5" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which week 1 had a week 2 of Claudia Nathalia?
### Query: SELECT "Week 1" FROM table_12186 WHERE "Week 2" = 'claudia nathalia' |
### Context: CREATE TABLE table_name_73 (
silver INTEGER,
gold VARCHAR,
rank VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average number of silver medals for countries with 0 gold and rank under 3?
### Query: SELECT AVG(silver) FROM table_name_73 WHERE gold = 0 AND rank < 3 |
### Context: CREATE TABLE table_name_40 (
ihsaa_class VARCHAR,
county VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the IHSAA class when the county was 83 vermillion?
### Query: SELECT ihsaa_class FROM table_name_40 WHERE county = "83 vermillion" |
### Context: CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Bar chart of mean age from each city code
### Query: SELECT city_code, AVG(Age) FROM Student GROUP BY city_code |
### Context: CREATE TABLE table_204_106 (
id number,
"year" number,
"title" text,
"image" text,
"dimensions" text,
"collection" text,
"comments" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many works had terence cuneo completed before the year 1950 ?
### Query: SELECT COUNT("title") FROM table_204_106 WHERE "year" < 1950 |
### Context: CREATE TABLE table_name_28 (
nationality VARCHAR,
points VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which 1st (m) is the lowest one that has a Nationality of aut, and Points larger than 273.5?
### Query: SELECT MIN(1 AS st__m_) FROM table_name_28 WHERE nationality = "aut" AND points > 273.5 |
### Context: CREATE TABLE table_7589 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total number of Total when Germany is the nation with less than 1 silver?
### Query: SELECT COUNT("Total") FROM table_7589 WHERE "Nation" = 'germany' AND "Silver" < '1' |
### Context: CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE fgwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE gwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 4063324这所医疗机构在20零六年九月三十到零九年的六月二十二号所有就诊记录里就诊患者是未就业人员的数目
### Query: SELECT COUNT(*) FROM gwyjzb WHERE gwyjzb.MED_SER_ORG_NO = '4063324' AND gwyjzb.IN_HOSP_DATE BETWEEN '2006-09-30' AND '2009-06-22' AND gwyjzb.INSURED_STS = '未就业' UNION SELECT COUNT(*) FROM fgwyjzb WHERE fgwyjzb.MED_SER_ORG_NO = '4063324' AND fgwyjzb.IN_HOSP_DATE BETWEEN '2006-09-30' AND '2009-06-22' AND fgwyjzb.INSURED_STS = '未就业' |
### Context: CREATE TABLE table_4848 (
"Player" text,
"Nationality" text,
"Position" text,
"From" real,
"School/Country" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When England is the nationality what is the year from?
### Query: SELECT "From" FROM table_4848 WHERE "Nationality" = 'england' |
### Context: CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- retrieve the patient identifications who have been diagnosed with intracranial injury - with intraventricular hemorrhage during a year before.
### Query: SELECT patient.uniquepid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'intracranial injury - with intraventricular hemorrhage' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) |
### Context: CREATE TABLE table_76843 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Ground" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the ground for away team sydney?
### Query: SELECT "Ground" FROM table_76843 WHERE "Away team" = 'sydney' |
### Context: CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE ftxmzjzjlb (
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,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE txmzjzjlb (
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,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 在09年7月5日到17年7月6日这段时间，患者卫逸明一共有多少检验报告单，把这些检验报告单的标本采集部位列出来
### Query: SELECT jybgb.BBCJBW FROM person_info JOIN hz_info JOIN txmzjzjlb JOIN jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = txmzjzjlb.YLJGDM AND hz_info.KH = txmzjzjlb.KH AND hz_info.KLX = txmzjzjlb.KLX AND txmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND txmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE person_info.XM = '卫逸明' AND jybgb.BGRQ BETWEEN '2009-07-05' AND '2017-07-06' UNION SELECT jybgb.BBCJBW FROM person_info JOIN hz_info JOIN ftxmzjzjlb JOIN jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = ftxmzjzjlb.YLJGDM AND hz_info.KH = ftxmzjzjlb.KH AND hz_info.KLX = ftxmzjzjlb.KLX AND ftxmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND ftxmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE person_info.XM = '卫逸明' AND jybgb.BGRQ BETWEEN '2009-07-05' AND '2017-07-06' UNION SELECT jybgb.BBCJBW FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB WHERE person_info.XM = '卫逸明' AND jybgb.BGRQ BETWEEN '2009-07-05' AND '2017-07-06' |
### Context: CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- find the number of urgent hospital admission patients who have acute salpingitis and oophoritis diagnoses.
### Query: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.long_title = "Acute salpingitis and oophoritis" |
### Context: CREATE TABLE table_10170 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the home team at the game with a decision of Mason and a visiting team of Dallas?
### Query: SELECT "Home" FROM table_10170 WHERE "Decision" = 'mason' AND "Visitor" = 'dallas' |
### Context: CREATE TABLE table_39674 (
"Pos." real,
"Car #" real,
"Driver" text,
"Make" text,
"Team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Make has a Car # larger than 59?
### Query: SELECT "Make" FROM table_39674 WHERE "Car #" > '59' |
### Context: CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE fzzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZYSGH text
)
CREATE TABLE 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 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 jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 3169312这个医疗机构在零一年八月二十日到二零年六月四日期间看过的转诊门诊记录有多少
### Query: SELECT COUNT(*) FROM fzzmzjzjlb WHERE fzzmzjzjlb.YLJGDM = '3169312' AND fzzmzjzjlb.JZKSRQ BETWEEN '2001-08-20' AND '2020-06-04' |
### Context: CREATE TABLE fgwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE gwyjzb (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID number,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者马浩浩的医疗记录中被开出不低于459.68元的药品有哪几次？查一下医疗就诊的编码
### Query: SELECT gwyjzb.MED_CLINIC_ID FROM gwyjzb WHERE gwyjzb.PERSON_NM = '马浩浩' AND NOT gwyjzb.MED_CLINIC_ID IN (SELECT t_kc22.MED_CLINIC_ID FROM t_kc22 WHERE t_kc22.AMOUNT < 459.68) UNION SELECT fgwyjzb.MED_CLINIC_ID FROM fgwyjzb WHERE fgwyjzb.PERSON_NM = '马浩浩' AND NOT fgwyjzb.MED_CLINIC_ID IN (SELECT t_kc22.MED_CLINIC_ID FROM t_kc22 WHERE t_kc22.AMOUNT < 459.68) |
### Context: CREATE TABLE table_204_683 (
id number,
"no." number,
"constituency" text,
"winner candidate" text,
"party" text,
"votes" number,
"margin" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- are there more or less inc party winners than there are bjp party winners ?
### Query: SELECT (SELECT COUNT(*) FROM table_204_683 WHERE "party" = 'inc') > (SELECT COUNT(*) FROM table_204_683 WHERE "party" = 'bjp') |
### Context: CREATE TABLE news_report (
journalist_ID int,
Event_ID int,
Work_Type text
)
CREATE TABLE event (
Event_ID int,
Date text,
Venue text,
Name text,
Event_Attendance int
)
CREATE TABLE journalist (
journalist_ID int,
Name text,
Nationality text,
Age text,
Years_working int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Visualize a bar chart, count and group by nationality from the journalist table, display by the total number in descending please.
### Query: SELECT Nationality, COUNT(Nationality) FROM journalist GROUP BY Nationality ORDER BY COUNT(Nationality) DESC |
### Context: CREATE TABLE manufacturers (
code number,
name text,
headquarter text,
founder text,
revenue number
)
CREATE TABLE products (
code number,
name text,
price number,
manufacturer number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is all the information of all the products that have a price between 60 and 120?
### Query: SELECT * FROM products WHERE price BETWEEN 60 AND 120 |
### Context: CREATE TABLE table_62380 (
"Pick #" real,
"Player" text,
"Nationality" text,
"Position" text,
"NHL team" text,
"Team from" text,
"League from" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Position has a Pick # smaller than 26 and a Player of jack campbell?
### Query: SELECT "Position" FROM table_62380 WHERE "Pick #" < '26' AND "Player" = 'jack campbell' |
### Context: CREATE TABLE table_55417 (
"Edition" text,
"Round" text,
"Date" text,
"Surface" text,
"Opponent" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What surface was used on July 17, 1983?
### Query: SELECT "Surface" FROM table_55417 WHERE "Date" = 'july 17, 1983' |
### Context: CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
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
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE d_icd_procedures (
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 procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE 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 cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
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 was the first thing patient 55360 got diagnosed with in 2105?
### Query: SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT diagnoses_icd.icd9_code FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 55360) AND STRFTIME('%y', diagnoses_icd.charttime) = '2105' ORDER BY diagnoses_icd.charttime LIMIT 1) |
### Context: CREATE TABLE table_name_49 (
ring_name VARCHAR,
stable VARCHAR,
birthplace VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Ring Name, when Stable is Kasugano, and when Birthplace is Z Mtskheta , Georgia?
### Query: SELECT ring_name FROM table_name_49 WHERE stable = "kasugano" AND birthplace = "z mtskheta , georgia" |
### Context: CREATE TABLE table_29458735_5 (
regiment VARCHAR,
county VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which regimen was in the arkansas county
### Query: SELECT regiment FROM table_29458735_5 WHERE county = "Arkansas" |
### Context: CREATE TABLE table_name_83 (
rank INTEGER,
total VARCHAR,
silver VARCHAR,
gold VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest rank that has 5 silvers, less than 5 golds, and less than 7 total medals?
### Query: SELECT MAX(rank) FROM table_name_83 WHERE silver = 5 AND gold < 5 AND total < 7 |
### Context: CREATE TABLE table_10733530_3 (
_percentage_growth__2000_2008_ INTEGER,
nation VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the maximum percentage grown 2000-2008 in burundi
### Query: SELECT MAX(_percentage_growth__2000_2008_) FROM table_10733530_3 WHERE nation = "Burundi" |
### Context: CREATE TABLE table_28277 (
"Rank" real,
"Runs" real,
"Average" text,
"Strike rate" text,
"Player" text,
"Matches" real,
"Innings" real,
"Period" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the average when the strike rate is 75.78?
### Query: SELECT "Average" FROM table_28277 WHERE "Strike rate" = '75.78' |
### Context: CREATE TABLE table_36985 (
"Year" real,
"Class" text,
"Team" text,
"Points" real,
"Wins" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the earliest year associated with under 0 wins?
### Query: SELECT MIN("Year") FROM table_36985 WHERE "Wins" < '0' |
### Context: CREATE TABLE table_63465 (
"Team" text,
"Location" text,
"County" text,
"Division" text,
"Home ground" text,
"Coach" text,
"Captain" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the captain of the team coached by Giles White?
### Query: SELECT "Captain" FROM table_63465 WHERE "Coach" = 'giles white' |
### Context: CREATE TABLE people_addresses (
person_address_id number,
person_id number,
address_id number,
date_from time,
date_to time
)
CREATE TABLE candidate_assessments (
candidate_id number,
qualification text,
assessment_date time,
asessment_outcome_code text
)
CREATE TABLE courses (
course_id text,
course_name text,
course_description text,
other_details text
)
CREATE TABLE addresses (
address_id number,
line_1 text,
line_2 text,
city text,
zip_postcode text,
state_province_county text,
country text
)
CREATE TABLE students (
student_id number,
student_details text
)
CREATE TABLE people (
person_id number,
first_name text,
middle_name text,
last_name text,
cell_mobile_number text,
email_address text,
login_name text,
password text
)
CREATE TABLE candidates (
candidate_id number,
candidate_details text
)
CREATE TABLE student_course_attendance (
student_id number,
course_id number,
date_of_attendance time
)
CREATE TABLE student_course_registrations (
student_id number,
course_id number,
registration_date time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the ids of the students who registered for some courses but had the least number of courses for all students?
### Query: SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY COUNT(*) LIMIT 1 |
### Context: CREATE TABLE happy_hour (
HH_ID int,
Shop_ID int,
Month text,
Num_of_shaff_in_charge int
)
CREATE TABLE shop (
Shop_ID int,
Address text,
Num_of_staff text,
Score real,
Open_Year text
)
CREATE TABLE happy_hour_member (
HH_ID int,
Member_ID int,
Total_amount real
)
CREATE TABLE member (
Member_ID int,
Name text,
Membership_card text,
Age int,
Time_of_purchase int,
Level_of_membership int,
Address text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the address and staff number of the shops that do not have any happy hour Visualize by bar chart, order y-axis from low to high order.
### Query: SELECT Address, Num_of_staff FROM shop WHERE NOT Shop_ID IN (SELECT Shop_ID FROM happy_hour) ORDER BY Num_of_staff |
### Context: CREATE TABLE table_19135 (
"School" text,
"Mascot" text,
"Conference" text,
"National Titles" real,
"Founded" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many big wins does peru state college have
### Query: SELECT COUNT("National Titles") FROM table_19135 WHERE "School" = 'Peru State College' |
### Context: CREATE TABLE table_name_95 (
wheel_arrangement VARCHAR,
number VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the wheel arrangement of the locomotive with number 6 or 4?
### Query: SELECT wheel_arrangement FROM table_name_95 WHERE number = "6 or 4" |
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