instruction
stringlengths 151
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| output
stringlengths 2
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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
)
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.
-- among patients who stayed at hospital for more than 14 days, how many of them had item id 51200?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "14" AND lab.itemid = "51200"
|
mimicsql_data
|
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- All my posts from 2016.
|
SELECT COUNT(*) FROM Posts WHERE Posts.OwnerUserId = 263693 AND TIME_TO_STR(CreationDate, '%YEAR') = 2016
|
sede
|
CREATE TABLE table_204_169 (
id number,
"athlete" text,
"event" text,
"race 1\ntime" text,
"race 2\ntime" text,
"total\ntime" text,
"total\nrank" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- who was last in the slalom overall ?
|
SELECT "athlete" FROM table_204_169 WHERE "event" = 'slalom' ORDER BY "total\ntime" DESC LIMIT 1
|
squall
|
CREATE TABLE table_41485 (
"Date" text,
"Location" text,
"Country" text,
"Event" text,
"Winner" text,
"Runner-up" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the location of the tournament held in Spain?
|
SELECT "Location" FROM table_41485 WHERE "Country" = 'spain'
|
wikisql
|
CREATE TABLE table_6466 (
"English name" text,
"Bulgarian name" text,
"Bulgarian name ( Transliteration )" text,
"Old Bulgarian Names" text,
"Old Bulgarian name (Transliteration)" text,
"Old Bulgarian name - Meaning" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the old Bulgarian word for avgust?
|
SELECT "Old Bulgarian name - Meaning" FROM table_6466 WHERE "Bulgarian name ( Transliteration )" = 'avgust'
|
wikisql
|
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime 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 patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- when was patient 009-11964 last tested in 07/last year for alkaline phos.?
|
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 = '009-11964')) AND lab.labname = 'alkaline phos.' AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', lab.labresulttime) = '07' ORDER BY lab.labresulttime DESC LIMIT 1
|
eicu
|
CREATE TABLE table_name_64 (
fa_cup INTEGER,
malaysia_cup INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the lowest FA Cup for a Malaysia Cup of 0?
|
SELECT MIN(fa_cup) FROM table_name_64 WHERE malaysia_cup < 0
|
sql_create_context
|
CREATE TABLE table_22879323_10 (
high_rebounds VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What were the high rebounds on April 4?
|
SELECT high_rebounds FROM table_22879323_10 WHERE date = "April 4"
|
sql_create_context
|
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which 2 -credit courses are available that are on the SW 100 -level ?
|
SELECT DISTINCT department, name, number FROM course WHERE credits = 2 AND department = 'SW' AND number < 100 + 100 AND number >= 100
|
advising
|
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many papers does Alvin C Haver have in Iv Infusion area ?
|
SELECT DISTINCT COUNT(DISTINCT writes.paperid) FROM author, keyphrase, paperkeyphrase, writes WHERE author.authorname = 'Alvin C Haver' AND keyphrase.keyphrasename = 'Iv Infusion' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND writes.authorid = author.authorid AND writes.paperid = paperkeyphrase.paperid
|
scholar
|
CREATE TABLE ENROLL (
CLASS_CODE varchar(5),
STU_NUM int,
ENROLL_GRADE varchar(50)
)
CREATE TABLE PROFESSOR (
EMP_NUM int,
DEPT_CODE varchar(10),
PROF_OFFICE varchar(50),
PROF_EXTENSION varchar(4),
PROF_HIGH_DEGREE varchar(5)
)
CREATE TABLE STUDENT (
STU_NUM int,
STU_LNAME varchar(15),
STU_FNAME varchar(15),
STU_INIT varchar(1),
STU_DOB datetime,
STU_HRS int,
STU_CLASS varchar(2),
STU_GPA float(8),
STU_TRANSFER numeric,
DEPT_CODE varchar(18),
STU_PHONE varchar(4),
PROF_NUM int
)
CREATE TABLE COURSE (
CRS_CODE varchar(10),
DEPT_CODE varchar(10),
CRS_DESCRIPTION varchar(35),
CRS_CREDIT float(8)
)
CREATE TABLE DEPARTMENT (
DEPT_CODE varchar(10),
DEPT_NAME varchar(30),
SCHOOL_CODE varchar(8),
EMP_NUM int,
DEPT_ADDRESS varchar(20),
DEPT_EXTENSION varchar(4)
)
CREATE TABLE CLASS (
CLASS_CODE varchar(5),
CRS_CODE varchar(10),
CLASS_SECTION varchar(2),
CLASS_TIME varchar(20),
CLASS_ROOM varchar(8),
PROF_NUM int
)
CREATE TABLE EMPLOYEE (
EMP_NUM int,
EMP_LNAME varchar(15),
EMP_FNAME varchar(12),
EMP_INITIAL varchar(1),
EMP_JOBCODE varchar(5),
EMP_HIREDATE datetime,
EMP_DOB datetime
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the number of courses each instructor taught with a bar chart grouping by course code, show y axis from low to high order.
|
SELECT CRS_CODE, COUNT(CRS_CODE) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM GROUP BY CRS_CODE ORDER BY COUNT(CRS_CODE)
|
nvbench
|
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE 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 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what are the four most frequent laboratory tests patients had in the same hospital visit after they were diagnosed with cl skul base fx-coma nos until 2 years ago?
|
SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t3.itemid FROM (SELECT t2.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'cl skul base fx-coma nos') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT admissions.subject_id, labevents.itemid, labevents.charttime, admissions.hadm_id FROM labevents JOIN admissions ON labevents.hadm_id = admissions.hadm_id WHERE DATETIME(labevents.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.itemid) AS t3 WHERE t3.c1 <= 4)
|
mimic_iii
|
CREATE TABLE table_34789 (
"Pick #" text,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text,
"College/junior/club team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- To which college/junior/club team did the player that was Pick 16 belong?
|
SELECT "College/junior/club team" FROM table_34789 WHERE "Pick #" = '16'
|
wikisql
|
CREATE TABLE table_79870 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Game site" text,
"Record" text,
"Attendance" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the result for kingdome game site and opponent of denver broncos
|
SELECT "Result" FROM table_79870 WHERE "Game site" = 'kingdome' AND "Opponent" = 'denver broncos'
|
wikisql
|
CREATE TABLE table_21012786_2 (
length_weight_of_missile VARCHAR,
diameter_of_torsion_spring VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When the torsion spring diameter is 38.4cm what would be the length or weight of the missile
|
SELECT length_weight_of_missile FROM table_21012786_2 WHERE diameter_of_torsion_spring = "38.4cm"
|
sql_create_context
|
CREATE TABLE person_info_hz_info (
RYBH text,
KH number,
KLX number,
YLJGDM number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE 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.
-- 把患者云成双在医院5772837住院的就诊记录列出来，选择入院时的科室名字有免疫科的记录
|
SELECT * FROM person_info JOIN hz_info JOIN zyjzjlb JOIN person_info_hz_info ON person_info.RYBH = person_info_hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX WHERE person_info.XM = '云成双' AND hz_info.YLJGDM = '5772837' AND zyjzjlb.JZKSMC LIKE '%免疫科%'
|
css
|
CREATE TABLE building (
name VARCHAR,
building_id VARCHAR
)
CREATE TABLE institution (
name VARCHAR,
building_id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the name of buildings that do not have any institution.
|
SELECT name FROM building WHERE NOT building_id IN (SELECT building_id FROM institution)
|
sql_create_context
|
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_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 person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 有多少外地门诊记录是医疗机构4755541在06年2月16日到10年3月24日内来就诊的？
|
SELECT COUNT(*) FROM mzjzjlb WHERE mzjzjlb.YLJGDM = '4755541' AND mzjzjlb.JZKSRQ BETWEEN '2006-02-16' AND '2010-03-24' AND mzjzjlb.WDBZ > 0
|
css
|
CREATE TABLE gas_station (
station_id number,
open_year number,
location text,
manager_name text,
vice_manager_name text,
representative_name text
)
CREATE TABLE station_company (
station_id number,
company_id number,
rank_of_the_year number
)
CREATE TABLE company (
company_id number,
rank number,
company text,
headquarters text,
main_industry text,
sales_billion number,
profits_billion number,
assets_billion number,
market_value number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the company name and the main industry for all companies whose headquarters are not from USA.
|
SELECT company, main_industry FROM company WHERE headquarters <> 'USA'
|
spider
|
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate real
)
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me the comparison about the average of Weight over the Sex , and group by attribute Sex by a bar chart, and show by the Y-axis from low to high.
|
SELECT Sex, AVG(Weight) FROM people GROUP BY Sex ORDER BY AVG(Weight)
|
nvbench
|
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 zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE mzjzjlb (
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 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 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 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.
-- 在2021年10月7日之前这个病号87778893一共有哪些门诊就诊记录对应的检验报告单？就诊时门诊诊断的流水号是多少？
|
SELECT mzjzjlb.JZLSH FROM hz_info JOIN mzjzjlb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE hz_info.RYBH = '87778893' AND NOT mzjzjlb.JZLSH IN (SELECT zyjybgb.JZLSH FROM zyjybgb WHERE zyjybgb.BGRQ >= '2021-10-07' UNION SELECT mzjybgb.JZLSH FROM mzjybgb WHERE mzjybgb.BGRQ >= '2021-10-07')
|
css
|
CREATE TABLE table_444 (
"Year" real,
"Mens singles" text,
"Womens singles" text,
"Mens doubles" text,
"Womens doubles" text,
"Mixed doubles" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the women's singles were men's doubles were steen fladberg jens peter nierhoff?
|
SELECT "Womens singles" FROM table_444 WHERE "Mens doubles" = 'Steen Fladberg Jens Peter Nierhoff'
|
wikisql
|
CREATE TABLE bank (
branch_ID int,
bname varchar(20),
no_of_customers int,
city varchar(10),
state varchar(20)
)
CREATE TABLE loan (
loan_ID varchar(3),
loan_type varchar(15),
cust_ID varchar(3),
branch_ID varchar(3),
amount int
)
CREATE TABLE customer (
cust_ID varchar(3),
cust_name varchar(20),
acc_type char(1),
acc_bal int,
no_of_loans int,
credit_score int,
branch_ID int,
state varchar(20)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average account balance of customers with credit score below 50 for the different account types Visualize by bar chart, and order by the names in ascending please.
|
SELECT acc_type, AVG(acc_bal) FROM customer WHERE credit_score < 50 GROUP BY acc_type ORDER BY acc_type
|
nvbench
|
CREATE TABLE table_43414 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the High assists when the record was 28 40?
|
SELECT "High assists" FROM table_43414 WHERE "Record" = '28–40'
|
wikisql
|
CREATE TABLE table_63274 (
"Rank" real,
"Heat" real,
"Lane" real,
"Name" text,
"Nationality" text,
"Time" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest rank when the lane is larger than 6, and the heat is 3, and the nationality is colombia?
|
SELECT MAX("Rank") FROM table_63274 WHERE "Lane" > '6' AND "Heat" = '3' AND "Nationality" = 'colombia'
|
wikisql
|
CREATE TABLE table_name_96 (
bronze INTEGER,
gold VARCHAR,
silver VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average number of bronze of the nation with more than 1 gold and 1 silver medal?
|
SELECT AVG(bronze) FROM table_name_96 WHERE gold > 1 AND silver = 1
|
sql_create_context
|
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_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.
-- 在2001年4月23日到2010年8月18日这段时间在医院7841691的科室中医疗费的总数少于2085.24元有多少次？
|
SELECT COUNT(*) FROM (SELECT t_kc21.MED_ORG_DEPT_CD FROM t_kc21 JOIN t_kc24 ON t_kc21.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE t_kc21.MED_SER_ORG_NO = '7841691' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2001-04-23' AND '2010-08-18' GROUP BY t_kc21.MED_ORG_DEPT_CD HAVING SUM(t_kc24.MED_AMOUT) < 2085.24) AS T
|
css
|
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE 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
)
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 treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was patient 010-38092's weight the last time since 150 months ago?
|
SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-38092') AND NOT patient.admissionweight IS NULL AND DATETIME(patient.unitadmittime) >= DATETIME(CURRENT_TIME(), '-150 month') ORDER BY patient.unitadmittime DESC LIMIT 1
|
eicu
|
CREATE TABLE university (
enrollment VARCHAR,
primary_conference VARCHAR,
founded VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the enrollment and primary_conference of the oldest college.
|
SELECT enrollment, primary_conference FROM university ORDER BY founded LIMIT 1
|
sql_create_context
|
CREATE TABLE table_11690135_1 (
interview VARCHAR,
swimsuit VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who scored a 9.72 in the swimsuit?
|
SELECT interview FROM table_11690135_1 WHERE swimsuit = "9.72"
|
sql_create_context
|
CREATE TABLE table_203_612 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which country has the most silver medals ?
|
SELECT "nation" FROM table_203_612 ORDER BY "silver" DESC LIMIT 1
|
squall
|
CREATE TABLE table_name_60 (
year INTEGER,
number_in_entourage VARCHAR,
mission_type VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the latest year of a gratitude type mission with 99 in the entourage?
|
SELECT MAX(year) FROM table_name_60 WHERE number_in_entourage = "99" AND mission_type = "gratitude"
|
sql_create_context
|
CREATE TABLE table_2076608_3 (
enrollment VARCHAR,
location_s_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where are the Alexandria enrollment locations?
|
SELECT enrollment FROM table_2076608_3 WHERE location_s_ = "Alexandria"
|
sql_create_context
|
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate real
)
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For the attribute Sex and the sum of Height, show their proportion by a pie chart.
|
SELECT Sex, SUM(Height) FROM people GROUP BY Sex
|
nvbench
|
CREATE TABLE table_34854 (
"sSpec number" text,
"Frequency" text,
"L2 cache" text,
"Mult." text,
"Voltage" text,
"Socket" text,
"Release date" text,
"Part number(s)" text,
"Release price ( USD )" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Socket of without quickassist has what release price?
|
SELECT "Release price ( USD )" FROM table_34854 WHERE "Socket" = 'without quickassist'
|
wikisql
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Look for the number of patients with brain mass intracranial hemorrhage as their primary disease who were born before 2180.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" AND demographic.dob_year < "2180"
|
mimicsql_data
|
CREATE TABLE table_name_99 (
points INTEGER,
home VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest amount of points of the game with toronto as the home team?
|
SELECT MIN(points) FROM table_name_99 WHERE home = "toronto"
|
sql_create_context
|
CREATE TABLE table_33988 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where was home on April 3?
|
SELECT "Home" FROM table_33988 WHERE "Date" = 'april 3'
|
wikisql
|
CREATE TABLE table_name_35 (
d_41_√ VARCHAR,
d_43_√ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the D 41 when it has D 43 of r 18
|
SELECT d_41_√ FROM table_name_35 WHERE d_43_√ = "r 18"
|
sql_create_context
|
CREATE TABLE employee (
eid number,
name text,
salary number
)
CREATE TABLE certificate (
eid number,
aid number
)
CREATE TABLE aircraft (
aid number,
name text,
distance number
)
CREATE TABLE flight (
flno number,
origin text,
destination text,
distance number,
departure_date time,
arrival_date time,
price number,
aid number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show flight number, origin, destination of all flights in the alphabetical order of the departure cities.
|
SELECT flno, origin, destination FROM flight ORDER BY origin
|
spider
|
CREATE TABLE table_72860 (
"1st throw" real,
"2nd throw" real,
"3rd throw" text,
"Equation" text,
"Result" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the equation is all equal, what is the 3rd throw?
|
SELECT "3rd throw" FROM table_72860 WHERE "Equation" = 'all equal'
|
wikisql
|
CREATE TABLE club (
clubid number,
clubname text,
clubdesc text,
clublocation text
)
CREATE TABLE member_of_club (
stuid number,
clubid number,
position text
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which club has the most female students as their members? Give me the name of the club.
|
SELECT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.sex = "F" GROUP BY t1.clubname ORDER BY COUNT(*) DESC LIMIT 1
|
spider
|
CREATE TABLE table_23248940_9 (
score VARCHAR,
game VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How did the game number 50 end?
|
SELECT score FROM table_23248940_9 WHERE game = 50
|
sql_create_context
|
CREATE TABLE table_69820 (
"Cyclist" text,
"Nation" text,
"Team" text,
"Time" text,
"UCI Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the cyclist from Belgium?
|
SELECT "Cyclist" FROM table_69820 WHERE "Nation" = 'belgium'
|
wikisql
|
CREATE TABLE table_name_89 (
opponent VARCHAR,
h_a_n VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Opponent of the game with a H/A/N of H and Score of 120-99?
|
SELECT opponent FROM table_name_89 WHERE h_a_n = "h" AND score = "120-99"
|
sql_create_context
|
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For all employees who have the letters D or S in their first name, return a line chart about the change of department_id over hire_date .
|
SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
nvbench
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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.
-- give me the number of patients whose age is less than 68 and lab test fluid is pleural?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "68" AND lab.fluid = "Pleural"
|
mimicsql_data
|
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Visualize a bar chart for simply displaying the email address of the employee and the corresponding salary, display in descending by the y-axis.
|
SELECT EMAIL, SALARY FROM employees ORDER BY SALARY DESC
|
nvbench
|
CREATE TABLE table_78167 (
"Number" real,
"Name" text,
"Team" text,
"Position" text,
"Years with franchise" text,
"Year retired" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which team is number 14 and had a franchise in 1993-2000?
|
SELECT "Team" FROM table_78167 WHERE "Number" = '14' AND "Years with franchise" = '1993-2000'
|
wikisql
|
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- keyphrases used by ras bodik
|
SELECT DISTINCT keyphrase.keyphraseid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'ras bodik' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid
|
scholar
|
CREATE TABLE table_name_14 (
game INTEGER,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Game has an Opponent of @ pittsburgh penguins?
|
SELECT MAX(game) FROM table_name_14 WHERE opponent = "@ pittsburgh penguins"
|
sql_create_context
|
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note 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 month (
month_number int,
month_name text
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
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 ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the cheapest round trip flights from INDIANAPOLIS to ORLANDO around 12 25
|
SELECT DISTINCT flight_id FROM flight WHERE (((flight_days IN (SELECT DAYSalias0.days_code FROM days AS DAYSalias0 WHERE DAYSalias0.day_name IN (SELECT DATE_DAYalias0.day_name FROM date_day AS DATE_DAYalias0 WHERE DATE_DAYalias0.day_number = 25 AND DATE_DAYalias0.month_number = 12 AND DATE_DAYalias0.year = 1991)) AND flight_id IN (SELECT FLIGHT_FAREalias0.flight_id FROM flight_fare AS FLIGHT_FAREalias0 WHERE FLIGHT_FAREalias0.fare_id IN (SELECT FAREalias0.fare_id FROM fare AS FAREalias0 WHERE ((FAREalias0.fare_basis_code IN (SELECT FARE_BASISalias1.fare_basis_code FROM fare_basis AS FARE_BASISalias1 WHERE FARE_BASISalias1.basis_days IN (SELECT DAYSalias3.days_code FROM days AS DAYSalias3 WHERE DAYSalias3.day_name IN (SELECT DATE_DAYalias3.day_name FROM date_day AS DATE_DAYalias3 WHERE DATE_DAYalias3.day_number = 25 AND DATE_DAYalias3.month_number = 12 AND DATE_DAYalias3.year = 1991))) AND FAREalias0.fare_id IN (SELECT FLIGHT_FAREalias2.fare_id FROM flight_fare AS FLIGHT_FAREalias2 WHERE FLIGHT_FAREalias2.flight_id IN (SELECT FLIGHTalias2.flight_id FROM flight AS FLIGHTalias2 WHERE ((FLIGHTalias2.flight_days IN (SELECT DAYSalias4.days_code FROM days AS DAYSalias4 WHERE DAYSalias4.day_name IN (SELECT DATE_DAYalias4.day_name FROM date_day AS DATE_DAYalias4 WHERE DATE_DAYalias4.day_number = 25 AND DATE_DAYalias4.month_number = 12 AND DATE_DAYalias4.year = 1991)) AND FLIGHTalias2.to_airport IN (SELECT AIRPORT_SERVICEalias5.airport_code FROM airport_service AS AIRPORT_SERVICEalias5 WHERE AIRPORT_SERVICEalias5.city_code IN (SELECT CITYalias5.city_code FROM city AS CITYalias5 WHERE CITYalias5.city_name = 'ORLANDO'))) AND FLIGHTalias2.from_airport IN (SELECT AIRPORT_SERVICEalias4.airport_code FROM airport_service AS AIRPORT_SERVICEalias4 WHERE AIRPORT_SERVICEalias4.city_code IN (SELECT CITYalias4.city_code FROM city AS CITYalias4 WHERE CITYalias4.city_name = 'INDIANAPOLIS')))))) AND FAREalias0.round_trip_cost = (SELECT MIN(FAREalias1.round_trip_cost) FROM fare AS FAREalias1 WHERE (FAREalias1.fare_basis_code IN (SELECT FARE_BASISalias0.fare_basis_code FROM fare_basis AS FARE_BASISalias0 WHERE FARE_BASISalias0.basis_days IN (SELECT DAYSalias1.days_code FROM days AS DAYSalias1 WHERE DAYSalias1.day_name IN (SELECT DATE_DAYalias1.day_name FROM date_day AS DATE_DAYalias1 WHERE DATE_DAYalias1.day_number = 25 AND DATE_DAYalias1.month_number = 12 AND DATE_DAYalias1.year = 1991))) AND FAREalias1.fare_id IN (SELECT FLIGHT_FAREalias1.fare_id FROM flight_fare AS FLIGHT_FAREalias1 WHERE FLIGHT_FAREalias1.flight_id IN (SELECT FLIGHTalias1.flight_id FROM flight AS FLIGHTalias1 WHERE ((FLIGHTalias1.flight_days IN (SELECT DAYSalias2.days_code FROM days AS DAYSalias2 WHERE DAYSalias2.day_name IN (SELECT DATE_DAYalias2.day_name FROM date_day AS DATE_DAYalias2 WHERE DATE_DAYalias2.day_number = 25 AND DATE_DAYalias2.month_number = 12 AND DATE_DAYalias2.year = 1991)) AND FLIGHTalias1.to_airport IN (SELECT AIRPORT_SERVICEalias3.airport_code FROM airport_service AS AIRPORT_SERVICEalias3 WHERE AIRPORT_SERVICEalias3.city_code IN (SELECT CITYalias3.city_code FROM city AS CITYalias3 WHERE CITYalias3.city_name = 'ORLANDO'))) AND FLIGHTalias1.from_airport IN (SELECT AIRPORT_SERVICEalias2.airport_code FROM airport_service AS AIRPORT_SERVICEalias2 WHERE AIRPORT_SERVICEalias2.city_code IN (SELECT CITYalias2.city_code FROM city AS CITYalias2 WHERE CITYalias2.city_name = 'INDIANAPOLIS'))))))))))) AND to_airport IN (SELECT AIRPORT_SERVICEalias1.airport_code FROM airport_service AS AIRPORT_SERVICEalias1 WHERE AIRPORT_SERVICEalias1.city_code IN (SELECT CITYalias1.city_code FROM city AS CITYalias1 WHERE CITYalias1.city_name = 'ORLANDO'))) AND from_airport IN (SELECT AIRPORT_SERVICEalias0.airport_code FROM airport_service AS AIRPORT_SERVICEalias0 WHERE AIRPORT_SERVICEalias0.city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'INDIANAPOLIS')))
|
atis
|
CREATE TABLE table_name_82 (
game INTEGER,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the mean game played on January 9?
|
SELECT AVG(game) FROM table_name_82 WHERE date = "january 9"
|
sql_create_context
|
CREATE TABLE table_name_59 (
driver VARCHAR,
grid VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- I want the driver for grid of 9
|
SELECT driver FROM table_name_59 WHERE grid = 9
|
sql_create_context
|
CREATE TABLE table_name_89 (
high_school VARCHAR,
utah_mr_basketball VARCHAR,
year VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where did Tyler Haws, 2009 Utah Mr. Basketball, go to high school?
|
SELECT high_school FROM table_name_89 WHERE utah_mr_basketball = "tyler haws" AND year = 2009
|
sql_create_context
|
CREATE TABLE complaints (
complaint_type_code VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many distinct complaint type codes are there in the database?
|
SELECT COUNT(DISTINCT complaint_type_code) FROM complaints
|
sql_create_context
|
CREATE TABLE table_name_95 (
game INTEGER,
opponent VARCHAR,
february VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest numbered game with an opponent of Minnesota North Stars earlier than February 25?
|
SELECT MIN(game) FROM table_name_95 WHERE opponent = "minnesota north stars" AND february < 25
|
sql_create_context
|
CREATE TABLE bdmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE 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
)
CREATE TABLE wdmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 哪些工号及姓名的医务人员在患者沈云梦就诊过程中为他检测地高辛的，时间是从0二年二月六日到0四年五月十二日
|
SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM person_info JOIN hz_info JOIN wdmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = wdmzjzjlb.YLJGDM AND hz_info.KH = wdmzjzjlb.KH AND hz_info.KLX = wdmzjzjlb.KLX AND wdmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND wdmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jyjgzbb.JYRQ BETWEEN '2002-02-06' AND '2004-05-12' AND person_info.XM = '沈云梦' AND jyjgzbb.JCZBMC = '地高辛' UNION SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM person_info JOIN hz_info JOIN bdmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = bdmzjzjlb.YLJGDM AND hz_info.KH = bdmzjzjlb.KH AND hz_info.KLX = bdmzjzjlb.KLX AND bdmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND bdmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jyjgzbb.JYRQ BETWEEN '2002-02-06' AND '2004-05-12' AND person_info.XM = '沈云梦' AND jyjgzbb.JCZBMC = '地高辛' UNION SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jyjgzbb.JYRQ BETWEEN '2002-02-06' AND '2004-05-12' AND person_info.XM = '沈云梦' AND jyjgzbb.JCZBMC = '地高辛'
|
css
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and revenue , and group by attribute founder, could you show total number in ascending order?
|
SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T2.Revenue
|
nvbench
|
CREATE TABLE accounts (
account_id number,
customer_id number,
account_name text,
other_account_details text
)
CREATE TABLE financial_transactions (
transaction_id number,
previous_transaction_id number,
account_id number,
card_id number,
transaction_type text,
transaction_date time,
transaction_amount number,
transaction_comment text,
other_transaction_details text
)
CREATE TABLE customers_cards (
card_id number,
customer_id number,
card_type_code text,
card_number text,
date_valid_from time,
date_valid_to time,
other_card_details text
)
CREATE TABLE customers (
customer_id number,
customer_first_name text,
customer_last_name text,
customer_address text,
customer_phone text,
customer_email text,
other_customer_details text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the card type code with most number of cards?
|
SELECT card_type_code FROM customers_cards GROUP BY card_type_code ORDER BY COUNT(*) DESC LIMIT 1
|
spider
|
CREATE TABLE table_40876 (
"Year" real,
"Winning team" text,
"Losing team" text,
"Score" text,
"Site" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Score with a Winning team that is san antonio spurs?
|
SELECT "Score" FROM table_40876 WHERE "Winning team" = 'san antonio spurs'
|
wikisql
|
CREATE TABLE table_name_2 (
place VARCHAR,
player VARCHAR,
score VARCHAR,
country VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When Jim Thorpe of United States has a score of 71, what is the place?
|
SELECT place FROM table_name_2 WHERE score = 71 AND country = "united states" AND player = "jim thorpe"
|
sql_create_context
|
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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE 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
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE 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 are the four most common diagnoses during this year.
|
SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 4
|
eicu
|
CREATE TABLE table_name_49 (
ends INTEGER,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest ends for Dani Alves?
|
SELECT MIN(ends) FROM table_name_49 WHERE name = "dani alves"
|
sql_create_context
|
CREATE TABLE table_6504 (
"Round" real,
"Player" text,
"Position" text,
"Nationality" text,
"College/Junior/Club Team (League)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the position Bill Campbell played before round 6?
|
SELECT "Position" FROM table_6504 WHERE "Round" < '6' AND "Player" = 'bill campbell'
|
wikisql
|
CREATE TABLE table_33281 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When was the pre-Week 10 game that had an attendance of over 38,865?
|
SELECT "Date" FROM table_33281 WHERE "Week" < '10' AND "Attendance" = '38,865'
|
wikisql
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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.
-- posaconazole suspension is administered via which route?
|
SELECT prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Posaconazole Suspension"
|
mimicsql_data
|
CREATE TABLE table_23114 (
"Year (Ceremony)" text,
"Film title used in nomination" text,
"Persian title" text,
"Director" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- If the film title nominated is Baran, what was the result?
|
SELECT "Result" FROM table_23114 WHERE "Film title used in nomination" = 'Baran'
|
wikisql
|
CREATE TABLE table_72718 (
"City/town" text,
"Municipality" text,
"County" text,
"City/town status" real,
"Population" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the cities/towns located in the municipality of Horten?
|
SELECT "City/town" FROM table_72718 WHERE "Municipality" = 'Horten'
|
wikisql
|
CREATE TABLE table_22654073_6 (
team VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the team for record 3-2
|
SELECT team FROM table_22654073_6 WHERE record = "3-2"
|
sql_create_context
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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.
-- tell me the number of patients admitted before the year 2172 who had other phototherapy procedure.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2172" AND procedures.long_title = "Other phototherapy"
|
mimicsql_data
|
CREATE TABLE table_name_44 (
to_par VARCHAR,
country VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the to par of the player from the United States with a score of 69-68-65=202?
|
SELECT to_par FROM table_name_44 WHERE country = "united states" AND score = 69 - 68 - 65 = 202
|
sql_create_context
|
CREATE TABLE table_204_779 (
id number,
"network name" text,
"flagship" text,
"programming type" text,
"owner" text,
"affiliates" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the total number of affiliates among all the networks ?
|
SELECT SUM("affiliates") FROM table_204_779
|
squall
|
CREATE TABLE table_203_33 (
id number,
"conference" text,
"date" text,
"place" text,
"attendance" number,
"archive of presentations" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which wikimania conference has the least number of attendees ?
|
SELECT "conference" FROM table_203_33 ORDER BY "attendance" LIMIT 1
|
squall
|
CREATE TABLE table_27258 (
"Season" real,
"Series" text,
"Team" text,
"Races" real,
"Wins" real,
"Poles" real,
"F.L." real,
"Podiums" real,
"Points" text,
"Position" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many wins were listed when he had 112 points?
|
SELECT "Wins" FROM table_27258 WHERE "Points" = '112'
|
wikisql
|
CREATE TABLE table_191105_2 (
lyrics_by VARCHAR,
subject VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When interjection is the subject who are the lyrics by?
|
SELECT lyrics_by FROM table_191105_2 WHERE subject = "interjection"
|
sql_create_context
|
CREATE TABLE table_204_90 (
id number,
"rank" number,
"name" text,
"nationality" text,
"time" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- the total number of ethiopian runners
|
SELECT COUNT("name") FROM table_204_90 WHERE "nationality" = 'ethiopia'
|
squall
|
CREATE TABLE table_name_41 (
division_record VARCHAR,
school VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the division record of Sussex Central?
|
SELECT division_record FROM table_name_41 WHERE school = "sussex central"
|
sql_create_context
|
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those products with a price between 60 and 120, return a scatter chart about the correlation between code and manufacturer , and group by attribute name.
|
SELECT Code, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 GROUP BY Name
|
nvbench
|
CREATE TABLE table_14681 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which score has a competition of 1997 dunhill cup malaysia and february 23, 1997 as the date?
|
SELECT "Score" FROM table_14681 WHERE "Competition" = '1997 dunhill cup malaysia' AND "Date" = 'february 23, 1997'
|
wikisql
|
CREATE TABLE table_74578 (
"Lane" real,
"Name" text,
"Nationality" text,
"Split (50m)" real,
"Time" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total of lane(s) for swimmers from Sweden with a 50m split of faster than 26.25?
|
SELECT SUM("Lane") FROM table_74578 WHERE "Nationality" = 'sweden' AND "Split (50m)" < '26.25'
|
wikisql
|
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE 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 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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what new prescriptions did patient 006-76924 have today compared to the prescription given yesterday?
|
SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '006-76924') AND DATETIME(medication.drugstarttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') EXCEPT SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '006-76924') AND DATETIME(medication.drugstarttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day')
|
eicu
|
CREATE TABLE table_32169 (
"Date" text,
"Venue" text,
"Result" text,
"Scored" real,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest scored in the 2010 east asian football championship?
|
SELECT MAX("Scored") FROM table_32169 WHERE "Competition" = '2010 east asian football championship'
|
wikisql
|
CREATE TABLE table_23394920_1 (
branding VARCHAR,
power_kw VARCHAR,
station_type VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When relay is the station type and 5kw is the power kw what is the branding?
|
SELECT branding FROM table_23394920_1 WHERE power_kw = "5kW" AND station_type = "Relay"
|
sql_create_context
|
CREATE TABLE customers (
customer_id VARCHAR,
customer_name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List all the customers in increasing order of IDs.
|
SELECT customer_id, customer_name FROM customers ORDER BY customer_id
|
sql_create_context
|
CREATE TABLE table_name_23 (
capacity INTEGER,
kitmaker VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is umbro's highest capacity?
|
SELECT MAX(capacity) FROM table_name_23 WHERE kitmaker = "umbro"
|
sql_create_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.
-- 重酒石酸卡巴拉汀胶囊的使用频率和每一次用量在病栋就诊序列号01570275256中都使用几次？
|
SELECT USE_FRE, EACH_DOSAGE FROM t_kc22 WHERE MED_CLINIC_ID = '01570275256' AND SOC_SRT_DIRE_NM = '重酒石酸卡巴拉汀胶囊'
|
css
|
CREATE TABLE table_name_49 (
decile VARCHAR,
roll VARCHAR,
authority VARCHAR,
area VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total Decile that has a state authority, fairlie area and roll smarter than 206?
|
SELECT COUNT(decile) FROM table_name_49 WHERE authority = "state" AND area = "fairlie" AND roll < 206
|
sql_create_context
|
CREATE TABLE table_63686 (
"School" text,
"Location" text,
"Mascot" text,
"County" text,
"Year Joined" real,
"Year Left" real,
"Conference Joined" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the mascot for moores hill that joined later than 1952?
|
SELECT "Mascot" FROM table_63686 WHERE "Year Joined" > '1952' AND "School" = 'moores hill'
|
wikisql
|
CREATE TABLE table_name_63 (
railway VARCHAR,
built VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which railway was built in 1909?
|
SELECT railway FROM table_name_63 WHERE built = "1909"
|
sql_create_context
|
CREATE TABLE appointment (
patient VARCHAR
)
CREATE TABLE patient (
ssn VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what are name and phone number of patients who had more than one appointment?
|
SELECT name, phone FROM appointment AS T1 JOIN patient AS T2 ON T1.patient = T2.ssn GROUP BY T1.patient HAVING COUNT(*) > 1
|
sql_create_context
|
CREATE TABLE Product_Categories (
production_type_code VARCHAR(15),
product_type_description VARCHAR(80),
vat_rating DECIMAL(19,4)
)
CREATE TABLE Orders (
order_id INTEGER,
customer_id INTEGER,
date_order_placed DATETIME,
order_details VARCHAR(255)
)
CREATE TABLE Products (
product_id INTEGER,
parent_product_id INTEGER,
production_type_code VARCHAR(15),
unit_price DECIMAL(19,4),
product_name VARCHAR(80),
product_color VARCHAR(20),
product_size VARCHAR(20)
)
CREATE TABLE Financial_Transactions (
transaction_id INTEGER,
account_id INTEGER,
invoice_number INTEGER,
transaction_type VARCHAR(15),
transaction_date DATETIME,
transaction_amount DECIMAL(19,4),
transaction_comment VARCHAR(255),
other_transaction_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(50),
customer_middle_initial VARCHAR(1),
customer_last_name VARCHAR(50),
gender VARCHAR(1),
email_address VARCHAR(255),
login_name VARCHAR(80),
login_password VARCHAR(20),
phone_number VARCHAR(255),
town_city VARCHAR(50),
state_county_province VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
order_id INTEGER,
product_id INTEGER,
product_quantity VARCHAR(50),
other_order_item_details VARCHAR(255)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
date_account_opened DATETIME,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
CREATE TABLE Invoice_Line_Items (
order_item_id INTEGER,
invoice_number INTEGER,
product_id INTEGER,
product_title VARCHAR(80),
product_quantity VARCHAR(50),
product_price DECIMAL(19,4),
derived_product_cost DECIMAL(19,4),
derived_vat_payable DECIMAL(19,4),
derived_total_cost DECIMAL(19,4)
)
CREATE TABLE Invoices (
invoice_number INTEGER,
order_id INTEGER,
invoice_date DATETIME
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the product ids and the number of unique orders containing each product by a scatter chart.
|
SELECT product_id, COUNT(DISTINCT order_id) FROM Order_Items
|
nvbench
|
CREATE TABLE table_train_113 (
"id" int,
"mini_mental_state_examination_mmse" int,
"systolic_blood_pressure_sbp" int,
"body_weight" float,
"diastolic_blood_pressure_dbp" int,
"body_mass_index_bmi" float,
"triglyceride_tg" float,
"NOUSE" float
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- body mass index ( bmi ) of approximately 18 to 33 kg / m2; and a total body weight > 50 kg ( 110 lbs ) .
|
SELECT * FROM table_train_113 WHERE (body_mass_index_bmi >= 18 AND body_mass_index_bmi <= 33) AND body_weight > 50
|
criteria2sql
|
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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE 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 SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTaskStates (
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 ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Downvoted posts with no comment.
|
SELECT PostId AS "post_link", SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS "dvs", Score FROM Votes AS v JOIN Posts AS p ON v.PostId = p.Id WHERE COALESCE(p.CommentCount, 0) = 0 AND v.VoteTypeId = 3 GROUP BY PostId, Score
|
sede
|
CREATE TABLE table_name_20 (
time VARCHAR,
rider VARCHAR,
grid VARCHAR,
laps VARCHAR,
manufacturer VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the time when laps is less than 21, manufacturer is aprilia, grid is less than 17 and the rider is thomas luthi?
|
SELECT time FROM table_name_20 WHERE laps < 21 AND manufacturer = "aprilia" AND grid < 17 AND rider = "thomas luthi"
|
sql_create_context
|
CREATE TABLE table_10903 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Where did the team play when they scored 10.10 (70)?
|
SELECT "Venue" FROM table_10903 WHERE "Away team score" = '10.10 (70)'
|
wikisql
|
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
zyjzjlb_id number
)
CREATE TABLE hz_info_zyjzjlb (
JZLSH number,
YLJGDM number,
zyjzjlb_id number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 从2012年10月17日到2017年12月25日之间名叫张静雅的患者就诊过多少个医生？
|
SELECT COUNT(mzjzjlb.ZZYSGH) FROM person_info JOIN hz_info JOIN mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE person_info.XM = '张静雅' AND mzjzjlb.JZKSRQ BETWEEN '2012-10-17' AND '2017-12-25'
|
css
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose gender is m and drug name is xopenex neb?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.drug = "Xopenex Neb"
|
mimicsql_data
|
CREATE TABLE table_78116 (
"8:00" text,
"8:30" text,
"9:00" text,
"9:30" text,
"10:00" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is at 10:00 when at 9:00 it is lost (#19, 4.6 rating) and at 8:30 it is lost (reruns)?
|
SELECT "10:00" FROM table_78116 WHERE "9:00" = 'lost (#19, 4.6 rating)' AND "8:30" = 'lost (reruns)'
|
wikisql
|
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
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 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 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 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.
-- 在01年1月1日到21年9月10日内医疗机构4671519特需门诊的就诊记录数量一共有多少条？
|
SELECT COUNT(*) FROM mzjzjlb WHERE YLJGDM = '4671519' AND JZKSRQ BETWEEN '2001-01-01' AND '2021-09-10' AND TXBZ > 0
|
css
|
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