instruction
stringlengths 151
7.46k
| output
stringlengths 2
4.44k
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stringclasses 26
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|---|---|---|
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE 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 student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course_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_requirement (
program_id int,
category varchar,
min_credit int,
additional_req 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 area (
course_id int,
area varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many of the 9 -credit classes are upper level ?
|
SELECT COUNT(DISTINCT course.course_id) FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.credits = 9 AND program_course.category LIKE 'ULCS'
|
advising
|
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE 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 PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 VoteTypes (
Id number,
Name text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange 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 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 ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
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 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 CloseReasonTypes (
Id number,
Name text,
Description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tags: Spelling variants (AE/BE: o/ou).
|
WITH PostCounts AS (SELECT Tags.Id AS TagId, COUNT(Posts.Id) AS PostCount FROM Posts INNER JOIN PostTags ON Posts.Id = PostTags.PostId INNER JOIN Tags ON PostTags.TagId = Tags.Id GROUP BY Tags.Id), Variants AS (SELECT * FROM (SELECT REPLACE(TagName, 'ou', 'o') AS vname, * FROM Tags) AS r WHERE vname != TagName) SELECT Tags.TagName, tc.PostCount, Variants.TagName, vc.PostCount FROM Tags INNER JOIN Variants ON Tags.TagName = Variants.vname INNER JOIN PostCounts AS tc ON Tags.Id = tc.TagId INNER JOIN PostCounts AS vc ON Variants.Id = vc.TagId ORDER BY vc.PostCount DESC
|
sede
|
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
)
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 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 jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 在08年5月15日到08年10月14日内患者67621156所有检验结果指标记录中的检测方法是什么？
|
SELECT jyjgzbb.JCFF FROM hz_info JOIN wdmzjzjlb JOIN jybgb JOIN jyjgzbb ON 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 hz_info.RYBH = '67621156' AND jyjgzbb.JYRQ BETWEEN '2008-05-15' AND '2008-10-14' UNION SELECT jyjgzbb.JCFF FROM hz_info JOIN bdmzjzjlb JOIN jybgb JOIN jyjgzbb ON 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 hz_info.RYBH = '67621156' AND jyjgzbb.JYRQ BETWEEN '2008-05-15' AND '2008-10-14' UNION SELECT jyjgzbb.JCFF FROM hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE hz_info.RYBH = '67621156' AND jyjgzbb.JYRQ BETWEEN '2008-05-15' AND '2008-10-14'
|
css
|
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 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,
jybgb_BBCJBW text,
jybgb_BBDM text,
jybgb_BBMC text,
jybgb_BBZT number,
jybgb_BGJGDM text,
jybgb_BGJGMC text,
jybgb_BGRGH text,
jybgb_BGRQ time,
jybgb_BGRXM text,
jybgb_BGSJ time,
jybgb_CJRQ time,
jybgb_JSBBRQSJ time,
jybgb_JSBBSJ time,
jybgb_JYBBH text,
jybgb_JYJGMC text,
jybgb_JYJSGH text,
jybgb_JYJSQM text,
jybgb_JYKSBM text,
jybgb_JYKSMC text,
jybgb_JYLX number,
jybgb_JYRQ time,
jybgb_JYSQJGMC text,
jybgb_JYXMDM text,
jybgb_JYXMMC text,
jybgb_JZLSH text,
jybgb_JZLSH_MZJZJLB text,
jybgb_JZLSH_ZYJZJLB text,
jybgb_JZLX number,
jybgb_KSBM text,
jybgb_KSMC text,
jybgb_SHRGH text,
jybgb_SHRXM text,
jybgb_SHSJ time,
jybgb_SQKS text,
jybgb_SQKSMC text,
jybgb_SQRGH text,
jybgb_SQRQ time,
jybgb_SQRXM text,
jybgb_YLJGDM_MZJZJLB text,
jybgb_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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 看看被门诊诊断为疾病U99.814的患者柏志国的检测指标095190的结果定量是什么？单位又是什么
|
SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jyjgzbb.jybgb_YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jyjgzbb.jybgb_JZLSH_MZJZJLB WHERE mzjzjlb.JZZDBM = 'U99.814' AND person_info.XM = '柏志国' AND jyjgzbb.JCZBDM = '095190'
|
css
|
CREATE TABLE table_name_81 (
mountains_classification VARCHAR,
team_classification VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Mountains classification has a Team classification of quick step?
|
SELECT mountains_classification FROM table_name_81 WHERE team_classification = "quick step"
|
sql_create_context
|
CREATE TABLE table_455 (
"Episode" text,
"Theme" text,
"Song choice" text,
"Original artist" text,
"Order #" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the order number for songs by the original artist Luis Fonsi?
|
SELECT "Order #" FROM table_455 WHERE "Original artist" = 'Luis Fonsi'
|
wikisql
|
CREATE TABLE table_name_94 (
home_team VARCHAR,
attendance VARCHAR,
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Home Team, when Attendance is '112', and when Away Team is 'Kentish Town'?
|
SELECT home_team FROM table_name_94 WHERE attendance = "112" AND away_team = "kentish town"
|
sql_create_context
|
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE 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 admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what were the three most frequently prescribed drugs at the same time, since 2 years ago, among the patients who were prescribed with heparin flush port (10units/ml)?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'heparin flush port (10units/ml)' AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3
|
mimic_iii
|
CREATE TABLE table_10267 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When st kilda played as the Away team which date was that?
|
SELECT "Date" FROM table_10267 WHERE "Away team" = 'st kilda'
|
wikisql
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients whose primary disease is brain mass;intracranial hemorrhage and lab test fluid is joint fluid?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" AND lab.fluid = "Joint Fluid"
|
mimicsql_data
|
CREATE TABLE table_65002 (
"World record" text,
"Snatch" text,
"Yang Lian ( CHN )" text,
"98kg" text,
"Santo Domingo , Dominican" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the figure for Santo Domingo, Dominican for the world record in the clean & jerk?
|
SELECT "Santo Domingo , Dominican" FROM table_65002 WHERE "World record" = 'clean & jerk'
|
wikisql
|
CREATE TABLE table_203_355 (
id number,
"year" number,
"total" number,
"romanians" text,
"hungarians" text,
"roma" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what were the total number of times the romanians had a population percentage above 70 % ?
|
SELECT COUNT(*) FROM table_203_355 WHERE "romanians" > 70
|
squall
|
CREATE TABLE camera_lens (
id int,
brand text,
name text,
focal_length_mm real,
max_aperture real
)
CREATE TABLE mountain (
id int,
name text,
Height real,
Prominence real,
Range text,
Country text
)
CREATE TABLE photos (
id int,
camera_lens_id int,
mountain_id int,
color text,
name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A bar chart for what are the number of the names of photos taken with the lens brand 'Sigma' or 'Olympus'?, and sort by the names in descending please.
|
SELECT T1.name, COUNT(T1.name) FROM camera_lens AS T1 JOIN photos AS T2 ON T2.camera_lens_id = T1.id WHERE T1.brand = 'Sigma' OR T1.brand = 'Olympus' GROUP BY T1.name ORDER BY T1.name DESC
|
nvbench
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me a bar chart for team_id of each all neutral, I want to rank by the bar from low to high.
|
SELECT All_Neutral, Team_ID FROM basketball_match ORDER BY All_Neutral
|
nvbench
|
CREATE TABLE college (
cname text,
state text,
enr number
)
CREATE TABLE tryout (
pid number,
cname text,
ppos text,
decision text
)
CREATE TABLE player (
pid number,
pname text,
ycard text,
hs number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What are the names of colleges in LA that have more than 15,000 students and of colleges in AZ with less than 13,000 students?
|
SELECT cname FROM college WHERE enr < 13000 AND state = "AZ" UNION SELECT cname FROM college WHERE enr > 15000 AND state = "LA"
|
spider
|
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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How is Nitroglycerin SL administered?
|
SELECT prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Nitroglycerin SL"
|
mimicsql_data
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- give me the number of patients whose insurance is private and procedure icd9 code is 4105?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "4105"
|
mimicsql_data
|
CREATE TABLE table_name_3 (
conductor VARCHAR,
orchestra VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the conductor when the chicago symphony orchestra is featured?
|
SELECT conductor FROM table_name_3 WHERE orchestra = "chicago symphony orchestra"
|
sql_create_context
|
CREATE TABLE table_name_81 (
Id VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which 2007 has a 2003 of 1r?
|
SELECT 2007 FROM table_name_81 WHERE 2003 = "1r"
|
sql_create_context
|
CREATE TABLE table_13338 (
"Name" text,
"Platform" text,
"Indication" text,
"Status" text,
"Collaboration" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What company collaborated in pre-clinical autoimmune disease and inflammation?
|
SELECT "Collaboration" FROM table_13338 WHERE "Status" = 'pre-clinical' AND "Indication" = 'autoimmune disease and inflammation'
|
wikisql
|
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
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 ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE 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 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 CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name 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 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 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
)
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 SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange 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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Count of posts by age in days.
|
WITH PostAge AS (SELECT Id, DATEDIFF(day, CreationDate, @LastVote) AS Age FROM Posts WHERE PostTypeId = '##PostTypeId:int?2##'), PostsByAge AS (SELECT Age, COUNT(*) AS Count FROM PostAge GROUP BY Age) SELECT Age, Count, SUM(Count) OVER (ORDER BY Age DESC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RollingCount FROM PostsByAge ORDER BY Age
|
sede
|
CREATE TABLE table_15265 (
"Rank" real,
"Population" real,
"Name" text,
"Former Name" text,
"Municipality" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the rank of the town with a population of 258?
|
SELECT COUNT("Rank") FROM table_15265 WHERE "Population" = '258'
|
wikisql
|
CREATE TABLE table_27906667_2 (
legs_won INTEGER,
player VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many legs were own by alan tabern?
|
SELECT MAX(legs_won) FROM table_27906667_2 WHERE player = "Alan Tabern"
|
sql_create_context
|
CREATE TABLE table_16268026_3 (
state VARCHAR,
interview VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What state has an interview of 8.313 (8) ?
|
SELECT state FROM table_16268026_3 WHERE interview = "8.313 (8)"
|
sql_create_context
|
CREATE TABLE table_8688 (
"Winner" text,
"Country" text,
"Winter Olympics" text,
"FIS Nordic World Ski Championships" text,
"Holmenkollen" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- The winner Arnfinn Bergmann has what under country?
|
SELECT "Country" FROM table_8688 WHERE "Winner" = 'arnfinn bergmann'
|
wikisql
|
CREATE TABLE table_78391 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent" text,
"Score" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What kind of surface was the tournament at Pune played on?
|
SELECT "Surface" FROM table_78391 WHERE "Tournament" = 'pune'
|
wikisql
|
CREATE TABLE table_name_9 (
word__number INTEGER,
name VARCHAR,
subframe__number VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average word count with crs and subframes lesser than 2?
|
SELECT AVG(word__number) FROM table_name_9 WHERE name = "crs" AND subframe__number < 2
|
sql_create_context
|
CREATE TABLE table_name_4 (
position INTEGER,
draws VARCHAR,
goals_against VARCHAR,
goals_for VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the average position when the goals against are more than 42 and draws less than 16 with goals of 44
|
SELECT AVG(position) FROM table_name_4 WHERE goals_against > 42 AND goals_for = 44 AND draws < 16
|
sql_create_context
|
CREATE TABLE table_name_9 (
date VARCHAR,
site VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which date had a site of N/A?
|
SELECT date FROM table_name_9 WHERE site = "n/a"
|
sql_create_context
|
CREATE TABLE table_13464416_6 (
record VARCHAR,
high_assists VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many times have there been helps by damon stoudamire (13)
|
SELECT COUNT(record) FROM table_13464416_6 WHERE high_assists = "Damon Stoudamire (13)"
|
sql_create_context
|
CREATE TABLE table_20854943_2 (
loa__metres_ VARCHAR,
yacht VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many LOA (metres) reported for Black Jack?
|
SELECT COUNT(loa__metres_) FROM table_20854943_2 WHERE yacht = "Black Jack"
|
sql_create_context
|
CREATE TABLE Fault_Log (
fault_log_entry_id INTEGER,
asset_id INTEGER,
recorded_by_staff_id INTEGER,
fault_log_entry_datetime DATETIME,
fault_description VARCHAR(255),
other_fault_details VARCHAR(255)
)
CREATE TABLE Maintenance_Contracts (
maintenance_contract_id INTEGER,
maintenance_contract_company_id INTEGER,
contract_start_date DATETIME,
contract_end_date DATETIME,
other_contract_details VARCHAR(255)
)
CREATE TABLE Maintenance_Engineers (
engineer_id INTEGER,
company_id INTEGER,
first_name VARCHAR(50),
last_name VARCHAR(50),
other_details VARCHAR(255)
)
CREATE TABLE Asset_Parts (
asset_id INTEGER,
part_id INTEGER
)
CREATE TABLE Parts (
part_id INTEGER,
part_name VARCHAR(255),
chargeable_yn VARCHAR(1),
chargeable_amount VARCHAR(20),
other_part_details VARCHAR(255)
)
CREATE TABLE Assets (
asset_id INTEGER,
maintenance_contract_id INTEGER,
supplier_company_id INTEGER,
asset_details VARCHAR(255),
asset_make VARCHAR(20),
asset_model VARCHAR(20),
asset_acquired_date DATETIME,
asset_disposed_date DATETIME,
other_asset_details VARCHAR(255)
)
CREATE TABLE Engineer_Skills (
engineer_id INTEGER,
skill_id INTEGER
)
CREATE TABLE Skills (
skill_id INTEGER,
skill_code VARCHAR(20),
skill_description VARCHAR(255)
)
CREATE TABLE Fault_Log_Parts (
fault_log_entry_id INTEGER,
part_fault_id INTEGER,
fault_status VARCHAR(10)
)
CREATE TABLE Engineer_Visits (
engineer_visit_id INTEGER,
contact_staff_id INTEGER,
engineer_id INTEGER,
fault_log_entry_id INTEGER,
fault_status VARCHAR(10),
visit_start_datetime DATETIME,
visit_end_datetime DATETIME,
other_visit_details VARCHAR(255)
)
CREATE TABLE Third_Party_Companies (
company_id INTEGER,
company_type VARCHAR(5),
company_name VARCHAR(255),
company_address VARCHAR(255),
other_company_details VARCHAR(255)
)
CREATE TABLE Staff (
staff_id INTEGER,
staff_name VARCHAR(255),
gender VARCHAR(1),
other_staff_details VARCHAR(255)
)
CREATE TABLE Part_Faults (
part_fault_id INTEGER,
part_id INTEGER,
fault_short_name VARCHAR(20),
fault_description VARCHAR(255),
other_fault_details VARCHAR(255)
)
CREATE TABLE Skills_Required_To_Fix (
part_fault_id INTEGER,
skill_id INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A bar chart about the number of faults for different fault short name, order by the bar in ascending.
|
SELECT fault_short_name, COUNT(fault_short_name) FROM Part_Faults AS T1 JOIN Skills_Required_To_Fix AS T2 ON T1.part_fault_id = T2.part_fault_id JOIN Skills AS T3 ON T2.skill_id = T3.skill_id GROUP BY fault_short_name ORDER BY fault_short_name
|
nvbench
|
CREATE TABLE table_name_79 (
team VARCHAR,
game VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the team for game 34?
|
SELECT team FROM table_name_79 WHERE game = 34
|
sql_create_context
|
CREATE TABLE table_name_60 (
date VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the date of the game with a score of 2 1?
|
SELECT date FROM table_name_60 WHERE score = "2–1"
|
sql_create_context
|
CREATE TABLE table_67930 (
"Year" text,
"League" text,
"Reg. Season" text,
"Playoffs" text,
"Avg. attendance \u2020" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What regular season had an average attendance of 1,242?
|
SELECT "Reg. Season" FROM table_67930 WHERE "Avg. attendance \u2020" = '1,242'
|
wikisql
|
CREATE TABLE table_name_10 (
channel VARCHAR,
digital_terrestrial_channel VARCHAR,
position VARCHAR,
analogue_terrestrial_channel VARCHAR,
internet VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the channel when the analogue terrestrial channel shows n/a, and the internet is itv.com, with a position larger than 6, and digital terrestrial channel is 6 27 (+1)?
|
SELECT channel FROM table_name_10 WHERE analogue_terrestrial_channel = "n/a" AND internet = "itv.com" AND position > 6 AND digital_terrestrial_channel = "6 27 (+1)"
|
sql_create_context
|
CREATE TABLE table_28715942_6 (
arranger_s_ VARCHAR,
track VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the arranger for 'I KIssed a Girl'?
|
SELECT arranger_s_ FROM table_28715942_6 WHERE track = "I Kissed a Girl"
|
sql_create_context
|
CREATE TABLE table_53427 (
"Name" text,
"League" real,
"FA Cup" real,
"League Cup" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest number of goals scored by a player in the normal league games where more than 8 total goals were scored?
|
SELECT MIN("League") FROM table_53427 WHERE "Total" > '8'
|
wikisql
|
CREATE TABLE table_43785 (
"Name" text,
"Latitude" text,
"Longitude" text,
"Diameter (km)" real,
"Year named" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How long is the diameter that has a longitude of 8.0e?
|
SELECT "Diameter (km)" FROM table_43785 WHERE "Longitude" = '8.0e'
|
wikisql
|
CREATE TABLE table_77901 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the top grid that laps less than 66 and a retried engine?
|
SELECT MAX("Grid") FROM table_77901 WHERE "Time/Retired" = 'engine' AND "Laps" < '66'
|
wikisql
|
CREATE TABLE table_name_96 (
elimination VARCHAR,
wrestler VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Elimination for Candice?
|
SELECT elimination FROM table_name_96 WHERE wrestler = "candice"
|
sql_create_context
|
CREATE TABLE mzjzjlb (
YLJGDM text,
JZLSH text,
KH text,
KLX number,
MJZH text,
HZXM text,
NLS number,
NLY number,
ZSEBZ number,
JZZTDM number,
JZZTMC text,
JZJSSJ time,
TXBZ number,
ZZBZ number,
WDBZ number,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
ZZYSGH text,
QTJZYSGH text,
JZZDBM text,
JZZDSM text,
MZZYZDZZBM text,
MZZYZDZZMC text,
SG number,
TZ number,
TW number,
SSY number,
SZY number,
XL number,
HXPLC number,
ML number,
JLSJ time
)
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
JYKSBM text,
JYKSMC text,
BGJGDM text,
BGJGMC text,
SQRQ time,
CJRQ time,
JYRQ time,
BGSJ time,
BBDM text,
BBMC text,
JYBBH text,
BBZT number,
BBCJBW text,
JSBBSJ time,
JYXMMC text,
JYXMDM text,
JYSQJGMC text,
JYJGMC text,
JSBBRQSJ time,
JYJSQM text,
JYJSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
)
CREATE TABLE jyjgzbb (
JYZBLSH text,
YLJGDM text,
BGDH text,
BGRQ time,
JYRQ time,
JCRGH text,
JCRXM text,
SHRGH text,
SHRXM text,
JCXMMC text,
JCZBDM text,
JCFF text,
JCZBMC text,
JCZBJGDX text,
JCZBJGDL number,
JCZBJGDW text,
SBBM text,
YQBH text,
YQMC text,
CKZFWDX text,
CKZFWXX number,
CKZFWSX number,
JLDW text
)
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
ZYMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 在06年4月14日到2019年11月24日之间患者16067327所有检验结果指标记录中的检测方法都有什么？
|
(SELECT jyjgzbb.JCFF FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE hz_info.RYBH = '16067327' AND jyjgzbb.JYRQ BETWEEN '2006-04-14' AND '2019-11-24') UNION (SELECT jyjgzbb.JCFF FROM hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE hz_info.RYBH = '16067327' AND jyjgzbb.JYRQ BETWEEN '2006-04-14' AND '2019-11-24')
|
css
|
CREATE TABLE table_1140083_2 (
rnd VARCHAR,
pole_position VARCHAR,
fastest_lap VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many rounds were won with James Hunt as pole position and John Watson as fastest lap?
|
SELECT COUNT(rnd) FROM table_1140083_2 WHERE pole_position = "James Hunt" AND fastest_lap = "John Watson"
|
sql_create_context
|
CREATE TABLE table_29743928_5 (
int_caps INTEGER
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest value for int. caps?
|
SELECT MIN(int_caps) FROM table_29743928_5
|
sql_create_context
|
CREATE TABLE table_204_878 (
id number,
"model" text,
"release date" text,
"sensor\nres., size" text,
"lens (35 mm equiv.)\nzoom, aperture" text,
"screen\nsize, pixels" text,
"dimensions\nw (mm) \u00d7 h (mm) \u00d7 d (mm)" text,
"weight" text,
"features" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many models weighed between 100 and 200 grams ?
|
SELECT COUNT("model") FROM table_204_878 WHERE "weight" >= 100 AND "weight" <= 200
|
squall
|
CREATE TABLE has_amenity (
dormid number,
amenid number
)
CREATE TABLE dorm_amenity (
amenid number,
amenity_name text
)
CREATE TABLE lives_in (
stuid number,
dormid number,
room_number number
)
CREATE TABLE dorm (
dormid number,
dorm_name text,
student_capacity number,
gender 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.
-- Find the number of students for the cities where have more than one student.
|
SELECT COUNT(*), city_code FROM student GROUP BY city_code HAVING COUNT(*) > 1
|
spider
|
CREATE TABLE table_201_19 (
id number,
"rank" number,
"title" text,
"studio" text,
"director" text,
"actors" text,
"gross" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many movies did 20th century fox create that were in the top 10 grossing films of 1965 ?
|
SELECT COUNT("title") FROM table_201_19 WHERE "title" IN (SELECT "title" FROM table_201_19 ORDER BY "gross" DESC LIMIT 10) AND "studio" = '20th century fox'
|
squall
|
CREATE TABLE table_name_65 (
score_points VARCHAR,
total VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- With Olympic Bronze Medalist as the total what are the score points?
|
SELECT score_points FROM table_name_65 WHERE total = "olympic bronze medalist"
|
sql_create_context
|
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what's the name of the drug that patient 030-77189 was prescribed two or more times in 12/2102?
|
SELECT t1.drugname FROM (SELECT medication.drugname, COUNT(medication.drugstarttime) AS c1 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-77189')) AND STRFTIME('%y-%m', medication.drugstarttime) = '2102-12' GROUP BY medication.drugname) AS t1 WHERE t1.c1 >= 2
|
eicu
|
CREATE TABLE table_name_7 (
week INTEGER,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which week did the Seattle Seahawks have a record of 6-6?
|
SELECT AVG(week) FROM table_name_7 WHERE record = "6-6"
|
sql_create_context
|
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_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_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.
-- 名叫周兰若的参保人从10年11月15号到20年6月7号期间在门诊检查花了多少钱啊？
|
SELECT SUM(t_kc22.AMOUNT) FROM t_kc21 JOIN t_kc22 ON t_kc21.MED_CLINIC_ID = t_kc22.MED_CLINIC_ID WHERE t_kc21.PERSON_NM = '周兰若' AND t_kc21.CLINIC_TYPE = '门诊' AND t_kc22.STA_DATE BETWEEN '2010-11-15' AND '2020-06-07' AND t_kc22.MED_INV_ITEM_TYPE = '检查费'
|
css
|
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- First Time Posts that are on bounty questions.
|
SELECT COUNT(DISTINCT p.Id) AS QuestionWithBounty, COUNT(DISTINCT Answer.Id) AS BountyAnswers, SUM(CASE WHEN PostsBeforeBounty.Id IS NULL THEN 1 ELSE 0 END) AS FirstTimePosts FROM Posts AS P INNER JOIN Votes AS bStart ON p.Id = bStart.PostId AND bStart.VoteTypeId = 8 INNER JOIN Posts AS Answer ON Answer.ParentId = p.Id AND Answer.CreationDate > bStart.CreationDate LEFT JOIN Posts AS PostsBeforeBounty ON Answer.OwnerUserId = PostsBeforeBounty.OwnerUserId AND Answer.CreationDate > PostsBeforeBounty.CreationDate
|
sede
|
CREATE TABLE table_2383498_4 (
last_year_in_qld_cup VARCHAR,
qld_cup_premierships VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many values of last year in QLD Cup if QLD Cup Premierships is 1996, 2001?
|
SELECT COUNT(last_year_in_qld_cup) FROM table_2383498_4 WHERE qld_cup_premierships = "1996, 2001"
|
sql_create_context
|
CREATE TABLE table_203_872 (
id number,
"year" number,
"location(s)" text,
"number of contestants" number,
"ladies winner" text,
"men's winner" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the name of the location listed first on this list ?
|
SELECT "location(s)" FROM table_203_872 WHERE id = 1
|
squall
|
CREATE TABLE table_75462 (
"Date" text,
"Venue" text,
"Opponents" text,
"Score" text,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Competition has a Score of 0-1, and Opponents of pkns fc?
|
SELECT "Competition" FROM table_75462 WHERE "Score" = '0-1' AND "Opponents" = 'pkns fc'
|
wikisql
|
CREATE TABLE table_13715 (
"Sr No" real,
"Name" text,
"Locale" text,
"Height" text,
"Floors" real,
"Building Type" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the name when the sr no is less than 74 and floors is more than 36?
|
SELECT "Name" FROM table_13715 WHERE "Sr No" < '74' AND "Floors" > '36'
|
wikisql
|
CREATE TABLE course (
crs_code text,
dept_code text,
crs_description text,
crs_credit number
)
CREATE TABLE enroll (
class_code text,
stu_num number,
enroll_grade text
)
CREATE TABLE department (
dept_code text,
dept_name text,
school_code text,
emp_num number,
dept_address text,
dept_extension text
)
CREATE TABLE employee (
emp_num number,
emp_lname text,
emp_fname text,
emp_initial text,
emp_jobcode text,
emp_hiredate time,
emp_dob time
)
CREATE TABLE student (
stu_num number,
stu_lname text,
stu_fname text,
stu_init text,
stu_dob time,
stu_hrs number,
stu_class text,
stu_gpa number,
stu_transfer number,
dept_code text,
stu_phone text,
prof_num number
)
CREATE TABLE class (
class_code text,
crs_code text,
class_section text,
class_time text,
class_room text,
prof_num number
)
CREATE TABLE professor (
emp_num number,
dept_code text,
prof_office text,
prof_extension text,
prof_high_degree text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many professors have a Ph.D. in each department?
|
SELECT COUNT(*), dept_code FROM professor WHERE prof_high_degree = 'Ph.D.' GROUP BY dept_code
|
spider
|
CREATE TABLE table_name_13 (
tries VARCHAR,
points VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many tries did the player have which ended with 20 Points?
|
SELECT tries FROM table_name_13 WHERE points = 20
|
sql_create_context
|
CREATE TABLE table_38755 (
"Couple" text,
"Score" text,
"Style" text,
"Music" text,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Score has a Couple comprised of jason & edyta, and a Style of freestyle?
|
SELECT "Score" FROM table_38755 WHERE "Couple" = 'jason & edyta' AND "Style" = 'freestyle'
|
wikisql
|
CREATE TABLE COURSE (
CRS_CODE varchar(10),
DEPT_CODE varchar(10),
CRS_DESCRIPTION varchar(35),
CRS_CREDIT float(8)
)
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
)
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 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 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 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Bar chart x axis dept code y axis minimal stu gpa
|
SELECT DEPT_CODE, MIN(STU_GPA) FROM STUDENT GROUP BY DEPT_CODE
|
nvbench
|
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE 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 chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is a drug that patient 76372 was prescribed two or more times during this month?
|
SELECT t1.drug FROM (SELECT prescriptions.drug, COUNT(prescriptions.startdate) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 76372) AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 >= 2
|
mimic_iii
|
CREATE TABLE table_204_770 (
id number,
"season" number,
"date" text,
"jia-a/csl winner" text,
"result" text,
"fa cup winner" text,
"scorers" text,
"stadium" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many had a total goals scored over 6 ?
|
SELECT COUNT(*) FROM table_204_770 WHERE "result" + "result" > 6
|
squall
|
CREATE TABLE table_39542 (
"Rank" real,
"Place" text,
"County" text,
"Per Capita Income" text,
"Median House- hold Income" text,
"Median Family Income" text,
"Population" real,
"Number of Households" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the population where the rank is higher than 51 and the Median House-hold income is $25,250?
|
SELECT SUM("Population") FROM table_39542 WHERE "Rank" > '51' AND "Median House- hold Income" = '$25,250'
|
wikisql
|
CREATE TABLE manager_half (
player_id TEXT,
year INTEGER,
team_id TEXT,
league_id TEXT,
inseason INTEGER,
half INTEGER,
g INTEGER,
w INTEGER,
l INTEGER,
rank INTEGER
)
CREATE TABLE salary (
year INTEGER,
team_id TEXT,
league_id TEXT,
player_id TEXT,
salary INTEGER
)
CREATE TABLE park (
park_id TEXT,
park_name TEXT,
park_alias TEXT,
city TEXT,
state TEXT,
country TEXT
)
CREATE TABLE player_award (
player_id TEXT,
award_id TEXT,
year INTEGER,
league_id TEXT,
tie TEXT,
notes TEXT
)
CREATE TABLE team (
year INTEGER,
league_id TEXT,
team_id TEXT,
franchise_id TEXT,
div_id TEXT,
rank INTEGER,
g INTEGER,
ghome NUMERIC,
w INTEGER,
l INTEGER,
div_win TEXT,
wc_win TEXT,
lg_win TEXT,
ws_win TEXT,
r INTEGER,
ab INTEGER,
h INTEGER,
double INTEGER,
triple INTEGER,
hr INTEGER,
bb INTEGER,
so NUMERIC,
sb NUMERIC,
cs NUMERIC,
hbp NUMERIC,
sf NUMERIC,
ra INTEGER,
er INTEGER,
era NUMERIC,
cg INTEGER,
sho INTEGER,
sv INTEGER,
ipouts INTEGER,
ha INTEGER,
hra INTEGER,
bba INTEGER,
soa INTEGER,
e INTEGER,
dp NUMERIC,
fp NUMERIC,
name TEXT,
park TEXT,
attendance NUMERIC,
bpf INTEGER,
ppf INTEGER,
team_id_br TEXT,
team_id_lahman45 TEXT,
team_id_retro TEXT
)
CREATE TABLE manager_award (
player_id TEXT,
award_id TEXT,
year INTEGER,
league_id TEXT,
tie TEXT,
notes NUMERIC
)
CREATE TABLE fielding (
player_id TEXT,
year INTEGER,
stint INTEGER,
team_id TEXT,
league_id TEXT,
pos TEXT,
g INTEGER,
gs NUMERIC,
inn_outs NUMERIC,
po NUMERIC,
a NUMERIC,
e NUMERIC,
dp NUMERIC,
pb NUMERIC,
wp NUMERIC,
sb NUMERIC,
cs NUMERIC,
zr NUMERIC
)
CREATE TABLE team_franchise (
franchise_id TEXT,
franchise_name TEXT,
active TEXT,
na_assoc TEXT
)
CREATE TABLE postseason (
year INTEGER,
round TEXT,
team_id_winner TEXT,
league_id_winner TEXT,
team_id_loser TEXT,
league_id_loser TEXT,
wins INTEGER,
losses INTEGER,
ties INTEGER
)
CREATE TABLE fielding_postseason (
player_id TEXT,
year INTEGER,
team_id TEXT,
league_id TEXT,
round TEXT,
pos TEXT,
g INTEGER,
gs NUMERIC,
inn_outs NUMERIC,
po INTEGER,
a INTEGER,
e INTEGER,
dp INTEGER,
tp INTEGER,
pb NUMERIC,
sb NUMERIC,
cs NUMERIC
)
CREATE TABLE home_game (
year INTEGER,
league_id TEXT,
team_id TEXT,
park_id TEXT,
span_first TEXT,
span_last TEXT,
games INTEGER,
openings INTEGER,
attendance INTEGER
)
CREATE TABLE manager_award_vote (
award_id TEXT,
year INTEGER,
league_id TEXT,
player_id TEXT,
points_won INTEGER,
points_max INTEGER,
votes_first INTEGER
)
CREATE TABLE player_award_vote (
award_id TEXT,
year INTEGER,
league_id TEXT,
player_id TEXT,
points_won NUMERIC,
points_max INTEGER,
votes_first NUMERIC
)
CREATE TABLE college (
college_id TEXT,
name_full TEXT,
city TEXT,
state TEXT,
country TEXT
)
CREATE TABLE hall_of_fame (
player_id TEXT,
yearid INTEGER,
votedby TEXT,
ballots NUMERIC,
needed NUMERIC,
votes NUMERIC,
inducted TEXT,
category TEXT,
needed_note TEXT
)
CREATE TABLE team_half (
year INTEGER,
league_id TEXT,
team_id TEXT,
half INTEGER,
div_id TEXT,
div_win TEXT,
rank INTEGER,
g INTEGER,
w INTEGER,
l INTEGER
)
CREATE TABLE player_college (
player_id TEXT,
college_id TEXT,
year INTEGER
)
CREATE TABLE player (
player_id TEXT,
birth_year NUMERIC,
birth_month NUMERIC,
birth_day NUMERIC,
birth_country TEXT,
birth_state TEXT,
birth_city TEXT,
death_year NUMERIC,
death_month NUMERIC,
death_day NUMERIC,
death_country TEXT,
death_state TEXT,
death_city TEXT,
name_first TEXT,
name_last TEXT,
name_given TEXT,
weight NUMERIC,
height NUMERIC,
bats TEXT,
throws TEXT,
debut TEXT,
final_game TEXT,
retro_id TEXT,
bbref_id TEXT
)
CREATE TABLE batting (
player_id TEXT,
year INTEGER,
stint INTEGER,
team_id TEXT,
league_id TEXT,
g INTEGER,
ab NUMERIC,
r NUMERIC,
h NUMERIC,
double NUMERIC,
triple NUMERIC,
hr NUMERIC,
rbi NUMERIC,
sb NUMERIC,
cs NUMERIC,
bb NUMERIC,
so NUMERIC,
ibb NUMERIC,
hbp NUMERIC,
sh NUMERIC,
sf NUMERIC,
g_idp NUMERIC
)
CREATE TABLE pitching (
player_id TEXT,
year INTEGER,
stint INTEGER,
team_id TEXT,
league_id TEXT,
w INTEGER,
l INTEGER,
g INTEGER,
gs INTEGER,
cg INTEGER,
sho INTEGER,
sv INTEGER,
ipouts NUMERIC,
h INTEGER,
er INTEGER,
hr INTEGER,
bb INTEGER,
so INTEGER,
baopp NUMERIC,
era NUMERIC,
ibb NUMERIC,
wp NUMERIC,
hbp NUMERIC,
bk INTEGER,
bfp NUMERIC,
gf NUMERIC,
r INTEGER,
sh NUMERIC,
sf NUMERIC,
g_idp NUMERIC
)
CREATE TABLE batting_postseason (
year INTEGER,
round TEXT,
player_id TEXT,
team_id TEXT,
league_id TEXT,
g INTEGER,
ab INTEGER,
r INTEGER,
h INTEGER,
double INTEGER,
triple INTEGER,
hr INTEGER,
rbi INTEGER,
sb INTEGER,
cs NUMERIC,
bb INTEGER,
so INTEGER,
ibb NUMERIC,
hbp NUMERIC,
sh NUMERIC,
sf NUMERIC,
g_idp NUMERIC
)
CREATE TABLE appearances (
year INTEGER,
team_id TEXT,
league_id TEXT,
player_id TEXT,
g_all NUMERIC,
gs NUMERIC,
g_batting INTEGER,
g_defense NUMERIC,
g_p INTEGER,
g_c INTEGER,
g_1b INTEGER,
g_2b INTEGER,
g_3b INTEGER,
g_ss INTEGER,
g_lf INTEGER,
g_cf INTEGER,
g_rf INTEGER,
g_of INTEGER,
g_dh NUMERIC,
g_ph NUMERIC,
g_pr NUMERIC
)
CREATE TABLE all_star (
player_id TEXT,
year INTEGER,
game_num INTEGER,
game_id TEXT,
team_id TEXT,
league_id TEXT,
gp NUMERIC,
starting_pos NUMERIC
)
CREATE TABLE manager (
player_id TEXT,
year INTEGER,
team_id TEXT,
league_id TEXT,
inseason INTEGER,
g INTEGER,
w INTEGER,
l INTEGER,
rank NUMERIC,
plyr_mgr TEXT
)
CREATE TABLE fielding_outfield (
player_id TEXT,
year INTEGER,
stint INTEGER,
glf NUMERIC,
gcf NUMERIC,
grf NUMERIC
)
CREATE TABLE pitching_postseason (
player_id TEXT,
year INTEGER,
round TEXT,
team_id TEXT,
league_id TEXT,
w INTEGER,
l INTEGER,
g INTEGER,
gs INTEGER,
cg INTEGER,
sho INTEGER,
sv INTEGER,
ipouts INTEGER,
h INTEGER,
er INTEGER,
hr INTEGER,
bb INTEGER,
so INTEGER,
baopp TEXT,
era NUMERIC,
ibb NUMERIC,
wp NUMERIC,
hbp NUMERIC,
bk NUMERIC,
bfp NUMERIC,
gf INTEGER,
r INTEGER,
sh NUMERIC,
sf NUMERIC,
g_idp NUMERIC
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Count the number of players who enter hall of fame for each year with a line chart, rank X-axis in asc order please.
|
SELECT yearid, COUNT(*) FROM hall_of_fame GROUP BY yearid ORDER BY yearid
|
nvbench
|
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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE 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 patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- count the number of patients who have had a abscess microbiology test done since 2104.
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT microlab.patientunitstayid FROM microlab WHERE microlab.culturesite = 'abscess' AND STRFTIME('%y', microlab.culturetakentime) >= '2104')
|
eicu
|
CREATE TABLE table_38387 (
"Product" text,
"Extensions" text,
"Projects templates" text,
"MSDN integration" text,
"Debugging" text,
"Profiling" text,
"IntelliTrace" text,
"Unit test" text,
"Code coverage" text,
"Test impact analysis" text,
"Load testing" text,
"Lab management" text,
"Architecture and modelling" text,
"Windows Phone development" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Architecture and modelling has a Unit test of no, and a Projects templates of limited?
|
SELECT "Architecture and modelling" FROM table_38387 WHERE "Unit test" = 'no' AND "Projects templates" = 'limited'
|
wikisql
|
CREATE TABLE table_58487 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Leading scorer" text,
"Attendance" real,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the attendance when the Hawks played?
|
SELECT COUNT("Attendance") FROM table_58487 WHERE "Home" = 'hawks'
|
wikisql
|
CREATE TABLE table_name_35 (
celebrity VARCHAR,
exited VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the celebrity who exited on day 13?
|
SELECT celebrity FROM table_name_35 WHERE exited = "day 13"
|
sql_create_context
|
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
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 inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- tell me the five most frequently ordered procedure for patients of 40s since 2102?
|
SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 40 AND 49) AND STRFTIME('%y', procedures_icd.charttime) >= '2102' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 5)
|
mimic_iii
|
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
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 病人69954049的身高与体重分别达到多少？
|
SELECT mzjzjlb.SG, mzjzjlb.TZ 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 = '69954049'
|
css
|
CREATE TABLE table_name_35 (
episode VARCHAR,
rating VARCHAR,
viewers__m_ VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Episode has a Rating of 1.8, and Viewers (m) smaller than 2.73?
|
SELECT episode FROM table_name_35 WHERE rating = "1.8" AND viewers__m_ < 2.73
|
sql_create_context
|
CREATE TABLE table_57670 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the time of the driver on grid 7?
|
SELECT "Time/Retired" FROM table_57670 WHERE "Grid" = '7'
|
wikisql
|
CREATE TABLE table_59940 (
"Spaceport" text,
"Launch complex" text,
"Launcher" text,
"Spacecraft" text,
"Flights" text,
"Years" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the launcher vehicle for Apollo-Soyuz?
|
SELECT "Launcher" FROM table_59940 WHERE "Spacecraft" = 'apollo-soyuz'
|
wikisql
|
CREATE TABLE table_name_74 (
against INTEGER,
status VARCHAR,
opposing_teams VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average Against, when Status is '2007 Rugby World Cup', and when Opposing Teams is 'U.S.A.'?
|
SELECT AVG(against) FROM table_name_74 WHERE status = "2007 rugby world cup" AND opposing_teams = "u.s.a."
|
sql_create_context
|
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE 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.
-- how many days has it been since the first time that patient 033-22108 had intake of cl flush: non-tunneled ij r on the current icu visit?
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', intakeoutput.intakeoutputtime)) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-22108') AND patient.unitdischargetime IS NULL) AND intakeoutput.celllabel = 'cl flush: non-tunneled ij r' AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime LIMIT 1
|
eicu
|
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
)
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.
-- count the number of patients whose drug code is vanc250l?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "VANC250L"
|
mimicsql_data
|
CREATE TABLE table_73077 (
"Round" text,
"Clubs remaining" real,
"Clubs involved" real,
"Winners from previous round" text,
"New entries this round" text,
"Leagues entering this round" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the new entries this round for third round
|
SELECT "New entries this round" FROM table_73077 WHERE "Round" = 'Third round'
|
wikisql
|
CREATE TABLE table_name_95 (
rider VARCHAR,
grid VARCHAR,
laps VARCHAR,
manufacturer VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which rider had more than 23 laps, a manufacturer of Aprilia, and a grid of 14
|
SELECT rider FROM table_name_95 WHERE laps > 23 AND manufacturer = "aprilia" AND grid = 14
|
sql_create_context
|
CREATE TABLE table_name_61 (
opponent VARCHAR,
date VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the Opponent on July 29?
|
SELECT opponent FROM table_name_61 WHERE date = "july 29"
|
sql_create_context
|
CREATE TABLE table_name_80 (
date VARCHAR,
attendance VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Attendance of 29,000 occurred on what date?
|
SELECT date FROM table_name_80 WHERE attendance = "29,000"
|
sql_create_context
|
CREATE TABLE table_name_77 (
seasons VARCHAR,
goals VARCHAR,
lost VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many seasons have goals of 261-338 with more than 111 losses?
|
SELECT COUNT(seasons) FROM table_name_77 WHERE goals = "261-338" AND lost > 111
|
sql_create_context
|
CREATE TABLE table_name_57 (
name VARCHAR,
medal VARCHAR,
event VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which participants won the silver medal for the Men's Doubles?
|
SELECT name FROM table_name_57 WHERE medal = "silver" AND event = "men's doubles"
|
sql_create_context
|
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text
)
CREATE TABLE person_info_hz_info (
RYBH text,
KH number,
KLX number,
YLJGDM number
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 名叫李宇航的患者以前都有哪些住院诊断还记得吗？
|
SELECT zyjzjlb.ZYZDBM, zyjzjlb.ZYZDMC 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 = '李宇航'
|
css
|
CREATE TABLE table_11964154_9 (
record VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what's the record where score is w 105 92 (ot)
|
SELECT record FROM table_11964154_9 WHERE score = "W 105–92 (OT)"
|
sql_create_context
|
CREATE TABLE media_types (
id number,
name text
)
CREATE TABLE playlists (
id number,
name text
)
CREATE TABLE sqlite_sequence (
name text,
seq text
)
CREATE TABLE albums (
id number,
title text,
artist_id number
)
CREATE TABLE playlist_tracks (
playlist_id number,
track_id number
)
CREATE TABLE artists (
id number,
name text
)
CREATE TABLE employees (
id number,
last_name text,
first_name text,
title text,
reports_to number,
birth_date time,
hire_date time,
address text,
city text,
state text,
country text,
postal_code text,
phone text,
fax text,
email text
)
CREATE TABLE customers (
id number,
first_name text,
last_name text,
company text,
address text,
city text,
state text,
country text,
postal_code text,
phone text,
fax text,
email text,
support_rep_id number
)
CREATE TABLE genres (
id number,
name text
)
CREATE TABLE tracks (
id number,
name text,
album_id number,
media_type_id number,
genre_id number,
composer text,
milliseconds number,
bytes number,
unit_price number
)
CREATE TABLE invoices (
id number,
customer_id number,
invoice_date time,
billing_address text,
billing_city text,
billing_state text,
billing_country text,
billing_postal_code text,
total number
)
CREATE TABLE invoice_lines (
id number,
invoice_id number,
track_id number,
unit_price number,
quantity number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List the customers first and last name of 10 least expensive invoices.
|
SELECT T1.first_name, T1.last_name FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id ORDER BY total LIMIT 10
|
spider
|
CREATE TABLE table_name_57 (
opponent VARCHAR,
score VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What Opponent has a Score that is 1-6, 3-6?
|
SELECT opponent FROM table_name_57 WHERE score = "1-6, 3-6"
|
sql_create_context
|
CREATE TABLE Services (
Service_ID INTEGER,
Service_Type_Code CHAR(15),
Workshop_Group_ID INTEGER,
Product_Description VARCHAR(255),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Other_Product_Service_Details VARCHAR(255)
)
CREATE TABLE Invoice_Items (
Invoice_Item_ID INTEGER,
Invoice_ID INTEGER,
Order_ID INTEGER,
Order_Item_ID INTEGER,
Product_ID INTEGER,
Order_Quantity INTEGER,
Other_Item_Details VARCHAR(255)
)
CREATE TABLE Order_Items (
Order_Item_ID INTEGER,
Order_ID INTEGER,
Product_ID INTEGER,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255)
)
CREATE TABLE Products (
Product_ID VARCHAR(100),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4),
Product_Description VARCHAR(255),
Other_Product_Service_Details VARCHAR(255)
)
CREATE TABLE Ref_Service_Types (
Service_Type_Code CHAR(15),
Parent_Service_Type_Code CHAR(15),
Service_Type_Description VARCHAR(255)
)
CREATE TABLE Bookings (
Booking_ID INTEGER,
Customer_ID INTEGER,
Workshop_Group_ID VARCHAR(100),
Status_Code CHAR(15),
Store_ID INTEGER,
Order_Date DATETIME,
Planned_Delivery_Date DATETIME,
Actual_Delivery_Date DATETIME,
Other_Order_Details VARCHAR(255)
)
CREATE TABLE Performers (
Performer_ID INTEGER,
Address_ID INTEGER,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Stores (
Store_ID VARCHAR(100),
Address_ID INTEGER,
Marketing_Region_Code CHAR(15),
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Bookings_Services (
Order_ID INTEGER,
Product_ID INTEGER
)
CREATE TABLE Marketing_Regions (
Marketing_Region_Code CHAR(15),
Marketing_Region_Name VARCHAR(255),
Marketing_Region_Descriptrion VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Customer_Orders (
Order_ID INTEGER,
Customer_ID INTEGER,
Store_ID INTEGER,
Order_Date DATETIME,
Planned_Delivery_Date DATETIME,
Actual_Delivery_Date DATETIME,
Other_Order_Details VARCHAR(255)
)
CREATE TABLE Addresses (
Address_ID VARCHAR(100),
Line_1 VARCHAR(255),
Line_2 VARCHAR(255),
City_Town VARCHAR(255),
State_County VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Drama_Workshop_Groups (
Workshop_Group_ID INTEGER,
Address_ID INTEGER,
Currency_Code CHAR(15),
Marketing_Region_Code CHAR(15),
Store_Name VARCHAR(255),
Store_Phone VARCHAR(255),
Store_Email_Address VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Performers_in_Bookings (
Order_ID INTEGER,
Performer_ID INTEGER
)
CREATE TABLE Ref_Payment_Methods (
payment_method_code CHAR(10),
payment_method_description VARCHAR(80)
)
CREATE TABLE Customers (
Customer_ID VARCHAR(100),
Address_ID INTEGER,
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Customer_Email_Address VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Invoices (
Invoice_ID INTEGER,
Order_ID INTEGER,
payment_method_code CHAR(15),
Product_ID INTEGER,
Order_Quantity VARCHAR(288),
Other_Item_Details VARCHAR(255),
Order_Item_ID INTEGER
)
CREATE TABLE Clients (
Client_ID INTEGER,
Address_ID INTEGER,
Customer_Email_Address VARCHAR(255),
Customer_Name VARCHAR(255),
Customer_Phone VARCHAR(255),
Other_Details VARCHAR(255)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Plot the number of order date over order date in a line chart
|
SELECT Order_Date, COUNT(Order_Date) FROM Bookings
|
nvbench
|
CREATE TABLE table_10234 (
"Date" text,
"Venue" text,
"Opponent" text,
"Result" text,
"Competition" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the result of game played on 10-05-2012?
|
SELECT "Result" FROM table_10234 WHERE "Date" = '10-05-2012'
|
wikisql
|
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 days (
days_code varchar,
day_name varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE flight_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 state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description 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 dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name 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 airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- NEW YORK to LAS VEGAS on sunday afternoon
|
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 = 27 AND DATE_DAYalias0.month_number = 8 AND DATE_DAYalias0.year = 1991)) 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 = 'LAS VEGAS'))) 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 = 'NEW YORK'))) AND departure_time BETWEEN 1200 AND 1800)
|
atis
|
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
CREATE TABLE faculty_participates_in (
facid number,
actid number
)
CREATE TABLE participates_in (
stuid number,
actid number
)
CREATE TABLE faculty (
facid number,
lname text,
fname text,
rank text,
sex text,
phone number,
room text,
building text
)
CREATE TABLE activity (
actid number,
activity_name text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who is the advisor of Linda Smith? Give me the first name and last name.
|
SELECT T1.fname, T1.lname FROM faculty AS T1 JOIN student AS T2 ON T1.facid = T2.advisor WHERE T2.fname = "Linda" AND T2.lname = "Smith"
|
spider
|
CREATE TABLE table_name_64 (
seats_2006 INTEGER,
_percentage_2001 VARCHAR,
seats_2001 VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the seats 2006 total with %2001 of 39 and seats 2001 less than 12?
|
SELECT MAX(seats_2006) FROM table_name_64 WHERE _percentage_2001 = 39 AND seats_2001 < 12
|
sql_create_context
|
CREATE TABLE table_17755 (
"Clinical Status" text,
"Compound Name" text,
"Trademark" text,
"Marine Organism \u03b1" text,
"Chemical Class" text,
"Molecular Target" text,
"Clinical Trials \u03b2" text,
"Disease Area" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the trademark listed for the molecular target : dna-binding?
|
SELECT "Trademark" FROM table_17755 WHERE "Molecular Target" = 'DNA-Binding'
|
wikisql
|
CREATE TABLE table_20630462_1 (
years INTEGER,
tournament VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the most years that tournaments held in Rome have lasted?
|
SELECT MAX(years) FROM table_20630462_1 WHERE tournament = "Rome"
|
sql_create_context
|
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 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 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 program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE 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 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 area (
course_id int,
area varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What number of credits do I get for 425 ?
|
SELECT DISTINCT credits FROM course WHERE department = 'EECS' AND number = 425
|
advising
|
CREATE TABLE table_name_20 (
effic INTEGER,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the total effic for the quarterbacks?
|
SELECT MIN(effic) FROM table_name_20 WHERE name = "total"
|
sql_create_context
|
CREATE TABLE table_203_109 (
id number,
"treaty" text,
"organization" text,
"introduced" number,
"signed" number,
"ratified" number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which was the first treaty in morocco to be ratified ?
|
SELECT "treaty" FROM table_203_109 ORDER BY "ratified" LIMIT 1
|
squall
|
CREATE TABLE table_name_16 (
against INTEGER,
opposing_teams VARCHAR,
venue VARCHAR,
status VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the lowest against score for Twickenham, London with the status of Five Nations against Ireland?
|
SELECT MIN(against) FROM table_name_16 WHERE venue = "twickenham, london" AND status = "five nations" AND opposing_teams = "ireland"
|
sql_create_context
|
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE 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 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 hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 哪个机构是检验报告单05899581944的检验申请机构还有哪个是检验机构？
|
SELECT jybgb.JYSQJGMC, jybgb.JYJGMC FROM jybgb WHERE jybgb.BGDH = '05899581944'
|
css
|
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 zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE zyjzjlb_jybgb (
YLJGDM_ZYJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 那个叫水幼安的患者报告日期在两千零四年九月八日之前的检验报告单对应了哪些住院就诊记录？其在住院时的就诊流水号具体为啥？
|
SELECT zyjzjlb.JZLSH FROM person_info JOIN hz_info JOIN zyjzjlb 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 WHERE person_info.XM = '水幼安' AND NOT zyjzjlb.JZLSH IN (SELECT jybgb.JZLSH FROM jybgb WHERE jybgb.BGRQ >= '2004-09-08')
|
css
|
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the name of a procedure that patient 4718 has been given for two times until 08/2102?
|
SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4718) AND STRFTIME('%y-%m', procedures_icd.charttime) <= '2102-08' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 = 2)
|
mimic_iii
|
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