instruction
stringlengths 151
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CREATE TABLE player_college (
player_id text,
college_id text,
year number
)
CREATE TABLE player_award_vote (
award_id text,
year number,
league_id text,
player_id text,
points_won number,
points_max number,
votes_first number
)
CREATE TABLE fielding_postseason (
player_id text,
year number,
team_id text,
league_id text,
round text,
pos text,
g number,
gs number,
inn_outs number,
po number,
a number,
e number,
dp number,
tp number,
pb number,
sb number,
cs number
)
CREATE TABLE batting (
player_id text,
year number,
stint number,
team_id text,
league_id text,
g number,
ab number,
r number,
h number,
double number,
triple number,
hr number,
rbi number,
sb number,
cs number,
bb number,
so number,
ibb number,
hbp number,
sh number,
sf number,
g_idp number
)
CREATE TABLE appearances (
year number,
team_id text,
league_id text,
player_id text,
g_all number,
gs number,
g_batting number,
g_defense number,
g_p number,
g_c number,
g_1b number,
g_2b number,
g_3b number,
g_ss number,
g_lf number,
g_cf number,
g_rf number,
g_of number,
g_dh number,
g_ph number,
g_pr number
)
CREATE TABLE team (
year number,
league_id text,
team_id text,
franchise_id text,
div_id text,
rank number,
g number,
ghome number,
w number,
l number,
div_win text,
wc_win text,
lg_win text,
ws_win text,
r number,
ab number,
h number,
double number,
triple number,
hr number,
bb number,
so number,
sb number,
cs number,
hbp number,
sf number,
ra number,
er number,
era number,
cg number,
sho number,
sv number,
ipouts number,
ha number,
hra number,
bba number,
soa number,
e number,
dp number,
fp number,
name text,
park text,
attendance number,
bpf number,
ppf number,
team_id_br text,
team_id_lahman45 text,
team_id_retro text
)
CREATE TABLE college (
college_id text,
name_full text,
city text,
state text,
country text
)
CREATE TABLE manager_half (
player_id text,
year number,
team_id text,
league_id text,
inseason number,
half number,
g number,
w number,
l number,
rank number
)
CREATE TABLE fielding_outfield (
player_id text,
year number,
stint number,
glf number,
gcf number,
grf number
)
CREATE TABLE manager (
player_id text,
year number,
team_id text,
league_id text,
inseason number,
g number,
w number,
l number,
rank number,
plyr_mgr text
)
CREATE TABLE salary (
year number,
team_id text,
league_id text,
player_id text,
salary number
)
CREATE TABLE manager_award_vote (
award_id text,
year number,
league_id text,
player_id text,
points_won number,
points_max number,
votes_first number
)
CREATE TABLE hall_of_fame (
player_id text,
yearid number,
votedby text,
ballots number,
needed number,
votes number,
inducted text,
category text,
needed_note text
)
CREATE TABLE fielding (
player_id text,
year number,
stint number,
team_id text,
league_id text,
pos text,
g number,
gs number,
inn_outs number,
po number,
a number,
e number,
dp number,
pb number,
wp number,
sb number,
cs number,
zr number
)
CREATE TABLE team_franchise (
franchise_id text,
franchise_name text,
active text,
na_assoc text
)
CREATE TABLE park (
park_id text,
park_name text,
park_alias text,
city text,
state text,
country text
)
CREATE TABLE postseason (
year number,
round text,
team_id_winner text,
league_id_winner text,
team_id_loser text,
league_id_loser text,
wins number,
losses number,
ties number
)
CREATE TABLE batting_postseason (
year number,
round text,
player_id text,
team_id text,
league_id text,
g number,
ab number,
r number,
h number,
double number,
triple number,
hr number,
rbi number,
sb number,
cs number,
bb number,
so number,
ibb number,
hbp number,
sh number,
sf number,
g_idp number
)
CREATE TABLE player_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
notes text
)
CREATE TABLE home_game (
year number,
league_id text,
team_id text,
park_id text,
span_first text,
span_last text,
games number,
openings number,
attendance number
)
CREATE TABLE pitching_postseason (
player_id text,
year number,
round text,
team_id text,
league_id text,
w number,
l number,
g number,
gs number,
cg number,
sho number,
sv number,
ipouts number,
h number,
er number,
hr number,
bb number,
so number,
baopp text,
era number,
ibb number,
wp number,
hbp number,
bk number,
bfp number,
gf number,
r number,
sh number,
sf number,
g_idp number
)
CREATE TABLE team_half (
year number,
league_id text,
team_id text,
half number,
div_id text,
div_win text,
rank number,
g number,
w number,
l number
)
CREATE TABLE player (
player_id text,
birth_year number,
birth_month number,
birth_day number,
birth_country text,
birth_state text,
birth_city text,
death_year number,
death_month number,
death_day number,
death_country text,
death_state text,
death_city text,
name_first text,
name_last text,
name_given text,
weight number,
height number,
bats text,
throws text,
debut text,
final_game text,
retro_id text,
bbref_id text
)
CREATE TABLE pitching (
player_id text,
year number,
stint number,
team_id text,
league_id text,
w number,
l number,
g number,
gs number,
cg number,
sho number,
sv number,
ipouts number,
h number,
er number,
hr number,
bb number,
so number,
baopp number,
era number,
ibb number,
wp number,
hbp number,
bk number,
bfp number,
gf number,
r number,
sh number,
sf number,
g_idp number
)
CREATE TABLE all_star (
player_id text,
year number,
game_num number,
game_id text,
team_id text,
league_id text,
gp number,
starting_pos number
)
CREATE TABLE manager_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
notes number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many parks are there in the state of NY?
|
SELECT COUNT(*) FROM park WHERE state = 'NY'
|
spider
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- how many patients whose year of birth is less than 2023 and item id is 51263?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2023" AND lab.itemid = "51263"
|
mimicsql_data
|
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE 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 ReviewTaskStates (
Id number,
Name text,
Description text
)
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 PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Badge Samaritan - nice answer- answers that need 1 upvote. http://stackoverflow.com/help/badges/23/nice-answer 'Answer score of 10 or more. This badge can be awarded multiple times.
|
SELECT a.Id AS "post_link", a.Score, a.CreationDate FROM Posts AS a INNER JOIN Posts AS q ON a.ParentId = q.Id INNER JOIN PostHistory AS ph ON ph.PostId = q.Id INNER JOIN Users AS u ON u.Id = a.OwnerUserId WHERE ph.PostHistoryTypeId != 14 AND a.Score = 9 AND a.OwnerUserId NOT IN (SELECT DISTINCT (UserId) FROM Badges WHERE Name LIKE '%nice%') GROUP BY a.Id, a.Score, a.CreationDate ORDER BY a.Score, a.CreationDate DESC LIMIT 2000
|
sede
|
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
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者姜依云为疾病Q41.778，门诊诊断的检测指标024672的结果定量及其单位分别是什么？
|
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 = 'Q41.778' AND person_info.XM = '姜依云' AND jyjgzbb.JCZBDM = '024672'
|
css
|
CREATE TABLE table_48546 (
"Tournament" text,
"2002" text,
"2003" text,
"2004" text,
"2005" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"Career SR" text,
"Career W\u2013L" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the 2004 value with A in 2005, A in 2008, and lq in 2009?
|
SELECT "2004" FROM table_48546 WHERE "2005" = 'a' AND "2008" = 'a' AND "2009" = 'lq'
|
wikisql
|
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE 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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId 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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment 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 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 PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostTypes (
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 ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find comment with the given text.
|
SELECT Id AS "comment_link", PostId AS "post_link", CreationDate FROM Comments WHERE Text LIKE '%##Text##%' ORDER BY CreationDate DESC
|
sede
|
CREATE TABLE table_name_96 (
height VARCHAR,
pos VARCHAR,
club VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the height of the player from club vk primorac kotor who plays gk?
|
SELECT height FROM table_name_96 WHERE pos = "gk" AND club = "vk primorac kotor"
|
sql_create_context
|
CREATE TABLE table_40293 (
"Week #" text,
"Theme" text,
"Song choice" text,
"Original artist" text,
"Order #" real,
"Result" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- On which week was the result safe and the song choice ' across the universe '?
|
SELECT "Week #" FROM table_40293 WHERE "Result" = 'safe' AND "Song choice" = ' across the universe '
|
wikisql
|
CREATE TABLE table_36214 (
"Rank" real,
"Player" text,
"Country" text,
"Events" real,
"Prize money ( $ )" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What amount of prize money was there when the rank was less than 7, there were more than 6 events, and the country was Fiji?
|
SELECT "Prize money ( $ )" FROM table_36214 WHERE "Rank" < '7' AND "Events" > '6' AND "Country" = 'fiji'
|
wikisql
|
CREATE TABLE table_80141 (
"Year" text,
"1st Member" text,
"1st Party" text,
"2nd Member" text,
"2nd Party" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- In 1865, what was the first party?
|
SELECT "1st Party" FROM table_80141 WHERE "Year" = '1865'
|
wikisql
|
CREATE TABLE table_name_4 (
title VARCHAR,
from_album VARCHAR,
label VARCHAR,
Nr VARCHAR,
x VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Title has an album of tough talk, and a Label-Nr of x-371?
|
SELECT title FROM table_name_4 WHERE from_album = "tough talk" AND label - Nr = x - 371
|
sql_create_context
|
CREATE TABLE football_data (
season text,
datetime time,
div text,
country text,
league text,
referee text,
hometeam text,
awayteam text,
fthg number,
ftag number,
ftr text,
hthg number,
htag number,
htr text,
psh number,
psd number,
psa number,
b365h number,
b365d number,
b365a number,
lbh number,
lbd number,
lba number,
bwh number,
bwd number,
bwa number
)
CREATE TABLE betfront (
year number,
datetime time,
country text,
competion text,
match text,
home_opening number,
draw_opening number,
away_opening number,
home_closing number,
draw_closing number,
away_closing number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which matches had draw odds from Bet365 higher than 3?
|
SELECT * FROM football_data WHERE b365d > 3
|
worldsoccerdatabase
|
CREATE TABLE table_name_43 (
home_team VARCHAR,
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the home team that played Geelong?
|
SELECT home_team AS score FROM table_name_43 WHERE away_team = "geelong"
|
sql_create_context
|
CREATE TABLE table_10997 (
"Stadium" text,
"Capacity" text,
"City" text,
"Province" text,
"Expected Completion" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which city expects their project completion in 2017?
|
SELECT "City" FROM table_10997 WHERE "Expected Completion" = '2017'
|
wikisql
|
CREATE TABLE table_24594 (
"Year" real,
"Date" text,
"Driver" text,
"Team" text,
"Manufacturer" text,
"Laps" text,
"Miles (km)" text,
"Race Time" text,
"Average Speed (mph)" text,
"Report" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many laps were driven in 2009?
|
SELECT "Laps" FROM table_24594 WHERE "Year" = '2009'
|
wikisql
|
CREATE TABLE music_festival (
ID int,
Music_Festival text,
Date_of_ceremony text,
Category text,
Volume int,
Result text
)
CREATE TABLE volume (
Volume_ID int,
Volume_Issue text,
Issue_Date text,
Weeks_on_Top real,
Song text,
Artist_ID int
)
CREATE TABLE artist (
Artist_ID int,
Artist text,
Age int,
Famous_Title text,
Famous_Release_date text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Give me a histogram showing the famous titles and ages of each artist with the age in descending order.
|
SELECT Famous_Title, Age FROM artist ORDER BY Age DESC
|
nvbench
|
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,
VAL_UNIT text,
DOSE_UNIT text,
DOSE_FORM text,
SPEC text,
USE_FRE text,
EACH_DOSAGE text,
QTY number,
UNIVALENT number,
AMOUNT number,
SELF_PAY_PRO number,
RER_SOL number,
SELF_PAY_AMO number,
UP_LIMIT_AMO number,
OVE_SELF_AMO number,
EXP_OCC_DATE time,
RECIPE_BILL_ID text,
FLX_MED_ORG_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
REF_STA_FLG number,
DATA_ID text,
SYNC_TIME time,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
TRADE_TYPE number,
STA_FLG number,
STA_DATE time,
REIMBURS_TYPE number,
FXBZ number,
REMOTE_SETTLE_FLG text
)
CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG number,
FLX_MED_ORG_ID text,
MED_SER_ORG_NO text,
CLINIC_TYPE text,
MED_TYPE number,
CLINIC_ID text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
INPT_AREA_BED text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
MAIN_COND_DES text,
INSU_TYPE text,
IN_HOSP_DAYS number,
MED_AMOUT number,
FERTILITY_STS number,
DATA_ID text,
SYNC_TIME time,
REIMBURSEMENT_FLG number,
HOSP_LEV number,
HOSP_STS number,
INSURED_IDENTITY number,
SERVANT_FLG text,
TRADE_TYPE number,
INSURED_STS text,
REMOTE_SETTLE_FLG text
)
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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 从2015年5月16日到2018年8月7日，患者06002285看病时被开出妥布霉素滴眼液的次数总共有多少
|
SELECT COUNT(*) FROM t_kc21 JOIN t_kc22 ON t_kc21.MED_CLINIC_ID = t_kc22.MED_CLINIC_ID WHERE t_kc21.PERSON_ID = '06002285' AND t_kc22.STA_DATE BETWEEN '2015-05-16' AND '2018-08-07' AND t_kc22.SOC_SRT_DIRE_NM = '妥布霉素滴眼液'
|
css
|
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 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 patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE diagnoses_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 labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- indicate the monthly maximum amount of urine out foley output that patient 13329 had had until 647 days ago.
|
SELECT MAX(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13329)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine out foley' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime) <= DATETIME(CURRENT_TIME(), '-647 day') GROUP BY STRFTIME('%y-%m', outputevents.charttime)
|
mimic_iii
|
CREATE TABLE table_11459 (
"Tournament" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the 2011 value that has a 2r in 2008 and a 4r in 2012?
|
SELECT "2011" FROM table_11459 WHERE "2008" = '2r' AND "2012" = '4r'
|
wikisql
|
CREATE TABLE table_10842344_1 (
no_in_season INTEGER,
production_code VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What episode number had production code e4423?
|
SELECT MAX(no_in_season) FROM table_10842344_1 WHERE production_code = "E4423"
|
sql_create_context
|
CREATE TABLE table_30977 (
"Season no." real,
"Series no." real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" real,
"U.S. viewers (millions)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many episodes were written by Warren Leight?
|
SELECT COUNT("Season no.") FROM table_30977 WHERE "Written by" = 'Warren Leight'
|
wikisql
|
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the sum of credits of courses that have more than one prerequisites for each department with a bar chart, could you show by the y axis in desc?
|
SELECT dept_name, SUM(credits) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY dept_name ORDER BY SUM(credits) DESC
|
nvbench
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- A bar chart about what is the total revenue of each manufacturer?, display by the x-axis in descending please.
|
SELECT Name, SUM(Revenue) FROM Manufacturers GROUP BY Name ORDER BY Name DESC
|
nvbench
|
CREATE TABLE affiliated_with (
physician number,
department number,
primaryaffiliation boolean
)
CREATE TABLE procedures (
code number,
name text,
cost number
)
CREATE TABLE on_call (
nurse number,
blockfloor number,
blockcode number,
oncallstart time,
oncallend time
)
CREATE TABLE stay (
stayid number,
patient number,
room number,
staystart time,
stayend time
)
CREATE TABLE room (
roomnumber number,
roomtype text,
blockfloor number,
blockcode number,
unavailable boolean
)
CREATE TABLE undergoes (
patient number,
procedures number,
stay number,
dateundergoes time,
physician number,
assistingnurse number
)
CREATE TABLE block (
blockfloor number,
blockcode number
)
CREATE TABLE physician (
employeeid number,
name text,
position text,
ssn number
)
CREATE TABLE nurse (
employeeid number,
name text,
position text,
registered boolean,
ssn number
)
CREATE TABLE trained_in (
physician number,
treatment number,
certificationdate time,
certificationexpires time
)
CREATE TABLE department (
departmentid number,
name text,
head number
)
CREATE TABLE prescribes (
physician number,
patient number,
medication number,
date time,
appointment number,
dose text
)
CREATE TABLE patient (
ssn number,
name text,
address text,
phone text,
insuranceid number,
pcp number
)
CREATE TABLE appointment (
appointmentid number,
patient number,
prepnurse number,
physician number,
start time,
end time,
examinationroom text
)
CREATE TABLE medication (
code number,
name text,
brand text,
description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Find the name of medication used on the patient who stays in room 111?
|
SELECT T4.name FROM stay AS T1 JOIN patient AS T2 ON T1.patient = T2.ssn JOIN prescribes AS T3 ON T3.patient = T2.ssn JOIN medication AS T4 ON T3.medication = T4.code WHERE room = 111
|
spider
|
CREATE TABLE table_204_375 (
id number,
"#" number,
"season" number,
"competition" text,
"date" text,
"round" text,
"opponent" text,
"h / a" text,
"result" text,
"scorer (s)" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- can you find the last opponent in 2013 league ?
|
SELECT "opponent" FROM table_204_375 WHERE "season" = 2013 ORDER BY "date" DESC LIMIT 1
|
squall
|
CREATE TABLE table_name_63 (
roll INTEGER,
decile VARCHAR,
area VARCHAR,
name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the roll number of Orautoha school in Raetihi, which has a decile smaller than 8?
|
SELECT SUM(roll) FROM table_name_63 WHERE area = "raetihi" AND name = "orautoha school" AND decile < 8
|
sql_create_context
|
CREATE TABLE table_name_38 (
position VARCHAR,
player VARCHAR,
goals VARCHAR,
tries VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- With 0 Goals and less than 1 Tries, what is Matt James position?
|
SELECT position FROM table_name_38 WHERE goals = "0" AND tries < 1 AND player = "matt james"
|
sql_create_context
|
CREATE TABLE table_203_543 (
id number,
"year" text,
"show" text,
"role" text,
"channel" text,
"extra" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what is the number of channels she has appeared on ?
|
SELECT COUNT(DISTINCT "channel") FROM table_203_543
|
squall
|
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 comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How is DHYGRACK 688 different from DHYGRACK 683 ?
|
SELECT DISTINCT department, description, number FROM course WHERE (department = 'DHYGRACK' AND number = 688) OR (department = 'DHYGRACK' AND number = 683)
|
advising
|
CREATE TABLE student_course_registrations (
student_id VARCHAR,
course_id VARCHAR,
registration_date VARCHAR
)
CREATE TABLE courses (
course_id VARCHAR,
course_name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List the id of students who registered course statistics in the order of registration date.
|
SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date
|
sql_create_context
|
CREATE TABLE table_44429 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Record" text,
"Kickoff Time" text,
"Attendance" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the Attendance before Week 17 with a Record of Bye?
|
SELECT "Attendance" FROM table_44429 WHERE "Week" < '17' AND "Record" = 'bye'
|
wikisql
|
CREATE TABLE table_47450 (
"Player" text,
"Country" text,
"Year(s) won" text,
"Total" real,
"To par" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Year(s) won has a Total of 147?
|
SELECT "Year(s) won" FROM table_47450 WHERE "Total" = '147'
|
wikisql
|
CREATE TABLE table_name_85 (
grid INTEGER,
driver VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- I want the lowest Grid for David Coulthard
|
SELECT MIN(grid) FROM table_name_85 WHERE driver = "david coulthard"
|
sql_create_context
|
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE 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
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the first value of a laboratory test -monos of patient 005-87465 during this hospital visit?
|
SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = '-monos' ORDER BY lab.labresulttime LIMIT 1
|
eicu
|
CREATE TABLE table_69789 (
"Name" text,
"Years" text,
"Gender" text,
"Area" text,
"Authority" text,
"Decile" real,
"Roll" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the roll number for East Gore School?
|
SELECT COUNT("Roll") FROM table_69789 WHERE "Name" = 'east gore school'
|
wikisql
|
CREATE TABLE table_204_735 (
id number,
"rank" number,
"team" text,
"names" text,
"time" text,
"qualification" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- which team ranked below chile 's ?
|
SELECT "team" FROM table_204_735 WHERE "rank" = (SELECT "rank" FROM table_204_735 WHERE "team" = 'chile') + 1
|
squall
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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.
-- Calculate the total number of patients admitted before the year 2110 who had a blood test by lab
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2110" AND lab.fluid = "Blood"
|
mimicsql_data
|
CREATE TABLE table_name_66 (
position VARCHAR,
debut VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What position had a debut in round 6?
|
SELECT position FROM table_name_66 WHERE debut = "round 6"
|
sql_create_context
|
CREATE TABLE table_29631 (
"#" real,
"No." real,
"Title" text,
"Directed by" text,
"Written by" text,
"Viewers" real,
"Original airdate" text,
"Prod. code" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many people watched episode number 13?
|
SELECT "Viewers" FROM table_29631 WHERE "#" = '13'
|
wikisql
|
CREATE TABLE table_28285 (
"Year" real,
"Population" real,
"Total" real,
"Violent" real,
"Property Crimes" real,
"Forcible rape" real,
"Robbery" real,
"Aggravated assault" real,
"Burglary" real,
"Larceny Theft" real,
"Vehicle Theft" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many vehicle thefts data were recorded if forcible rape is 1232?
|
SELECT COUNT("Vehicle Theft") FROM table_28285 WHERE "Forcible rape" = '1232'
|
wikisql
|
CREATE TABLE table_42725 (
"Institution name" text,
"City/ town" text,
"State/ province" text,
"Total enrollment" text,
"Year founded" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What year was Waynesburg University founded in Pennsylvania?
|
SELECT "Year founded" FROM table_42725 WHERE "State/ province" = 'pennsylvania' AND "Institution name" = 'waynesburg university'
|
wikisql
|
CREATE TABLE table_name_44 (
mark VARCHAR,
lane VARCHAR,
country VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is Mark, when Lane is greater than 2, and when Country is Bahamas?
|
SELECT mark FROM table_name_44 WHERE lane > 2 AND country = "bahamas"
|
sql_create_context
|
CREATE TABLE table_name_78 (
dipole_moment___d__ VARCHAR,
solvent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What's the dipole moment of ethyl acetate (etoac)?
|
SELECT dipole_moment___d__ FROM table_name_78 WHERE solvent = "ethyl acetate (etoac)"
|
sql_create_context
|
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
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_hz_info (
RYBH text,
KH number,
KLX number,
YLJGDM number
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 病员03874754的检测游离甲状腺素项目在2007年9月8日到16年8月20日期间是哪位医务人员做的员工号及姓名分别是什么？
|
SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN person_info_hz_info JOIN person_info ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.RYBH = person_info.RYBH WHERE jyjgzbb.JYRQ BETWEEN '2007-09-08' AND '2016-08-20' AND person_info_hz_info.RYBH = '03874754' AND jyjgzbb.JCZBMC = '游离甲状腺素' UNION SELECT jyjgzbb.JCRGH, jyjgzbb.JCRXM FROM hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb JOIN person_info_hz_info JOIN person_info ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.RYBH = person_info.RYBH WHERE jyjgzbb.JYRQ BETWEEN '2007-09-08' AND '2016-08-20' AND person_info.RYBH = '03874754' AND jyjgzbb.JCZBMC = '游离甲状腺素'
|
css
|
CREATE TABLE table_66104 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For the game on 13 December 1975 with Halifax Town as the away team what was the score?
|
SELECT "Score" FROM table_66104 WHERE "Date" = '13 december 1975' AND "Away team" = 'halifax town'
|
wikisql
|
CREATE TABLE table_14539 (
"Race" text,
"Position" text,
"Time" text,
"Speed" text,
"Replica" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the speed of the Superbike race?
|
SELECT "Speed" FROM table_14539 WHERE "Race" = 'superbike'
|
wikisql
|
CREATE TABLE table_58918 (
"Week 9 Oct 29" text,
"Week 10 Nov 5" text,
"Week 11 Nov 12" text,
"Week 12 Nov 19" text,
"Week 13 Nov 26" text,
"Week 14 Dec 3" text,
"Week 15 (Final) Dec 9" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the week 10 result for the tean when the week 15 result is Illinois (10-1)?
|
SELECT "Week 10 Nov 5" FROM table_58918 WHERE "Week 15 (Final) Dec 9" = 'illinois (10-1)'
|
wikisql
|
CREATE TABLE table_75942 (
"Round" text,
"Date" text,
"Home team" text,
"Score" text,
"Away team" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the home team on April 13, 2008 when Itabuna was the away team?
|
SELECT "Home team" FROM table_75942 WHERE "Date" = 'april 13, 2008' AND "Away team" = 'itabuna'
|
wikisql
|
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.
-- 投保人马文心同志在住院的时候花费的整数金额次数多些次？
|
SELECT COUNT(*) FROM t_kc21 WHERE PERSON_NM = '马文心' AND CLINIC_TYPE = '住院' AND MOD(MED_AMOUT, 1) = 0
|
css
|
CREATE TABLE table_80254 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which country has a prize smaller than $250 and the player Henry Picard?
|
SELECT "Country" FROM table_80254 WHERE "Money ( $ )" < '250' AND "Player" = 'henry picard'
|
wikisql
|
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_jyjgzbb (
JYZBLSH number,
YLJGDM text,
jyjgzbb_id number
)
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 jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YQBH text,
YQMC text,
jyjgzbb_id number
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 检验报告单01566167620是哪个机构申请检验的，又是哪个机构提供检验的，这两个机构分别是什么名称
|
SELECT jybgb.JYSQJGMC, jybgb.JYJGMC FROM jybgb WHERE jybgb.BGDH = '01566167620'
|
css
|
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_ID number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 患者郎博延最常看的医生是哪个，在10年4月15日到11年1月27日这段时间里？
|
SELECT t_kc21.OUT_DIAG_DOC_CD, t_kc21.OUT_DIAG_DOC_NM FROM t_kc21 WHERE t_kc21.PERSON_NM = '郎博延' AND t_kc21.IN_HOSP_DATE BETWEEN '2010-04-15' AND '2011-01-27' GROUP BY t_kc21.OUT_DIAG_DOC_CD ORDER BY COUNT(*) DESC LIMIT 1
|
css
|
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE compartment_class (
compartment varchar,
class_type 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 time_interval (
period text,
begin_time int,
end_time 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 days (
days_code varchar,
day_name varchar
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE 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 date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE 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 city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE code_description (
code varchar,
description text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- i would like an early morning flight on 6 1 from CHICAGO into SEATTLE on CO
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SEATTLE' AND date_day.day_number = 1 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CHICAGO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'CO') AND flight.departure_time BETWEEN 0 AND 800
|
atis
|
CREATE TABLE table_name_26 (
date VARCHAR,
player VARCHAR,
original_team VARCHAR,
result VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What date has Vancouver Canucks as the original team, Ryan Kesler as the player, and matched as the Result?
|
SELECT date FROM table_name_26 WHERE original_team = "vancouver canucks" AND result = "matched" AND player = "ryan kesler"
|
sql_create_context
|
CREATE TABLE table_57612 (
"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.
-- How big was the crowd in a game that had a home team score of 15.15 (105)?
|
SELECT "Crowd" FROM table_57612 WHERE "Home team score" = '15.15 (105)'
|
wikisql
|
CREATE TABLE Mailshot_Customers (
mailshot_id INTEGER,
customer_id INTEGER,
outcome_code VARCHAR(15),
mailshot_customer_date DATETIME
)
CREATE TABLE Premises (
premise_id INTEGER,
premises_type VARCHAR(15),
premise_details VARCHAR(255)
)
CREATE TABLE Products (
product_id INTEGER,
product_category VARCHAR(15),
product_name VARCHAR(80)
)
CREATE TABLE Customers (
customer_id INTEGER,
payment_method VARCHAR(15),
customer_name VARCHAR(80),
customer_phone VARCHAR(80),
customer_email VARCHAR(80),
customer_address VARCHAR(255),
customer_login VARCHAR(80),
customer_password VARCHAR(10)
)
CREATE TABLE Mailshot_Campaigns (
mailshot_id INTEGER,
product_category VARCHAR(15),
mailshot_name VARCHAR(80),
mailshot_start_date DATETIME,
mailshot_end_date DATETIME
)
CREATE TABLE Order_Items (
item_id INTEGER,
order_item_status_code VARCHAR(15),
order_id INTEGER,
product_id INTEGER,
item_status_code VARCHAR(15),
item_delivered_datetime DATETIME,
item_order_quantity VARCHAR(80)
)
CREATE TABLE Customer_Orders (
order_id INTEGER,
customer_id INTEGER,
order_status_code VARCHAR(15),
shipping_method_code VARCHAR(15),
order_placed_datetime DATETIME,
order_delivered_datetime DATETIME,
order_shipping_charges VARCHAR(255)
)
CREATE TABLE Customer_Addresses (
customer_id INTEGER,
premise_id INTEGER,
date_address_from DATETIME,
address_type_code VARCHAR(15),
date_address_to DATETIME
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the outcome code of mailshots along with the number of mailshots in each outcome code in a bar chart.
|
SELECT outcome_code, COUNT(*) FROM Mailshot_Customers GROUP BY outcome_code
|
nvbench
|
CREATE TABLE table_4880 (
"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.
-- What is the home team's score at punt road oval in front of over 17,000?
|
SELECT "Home team score" FROM table_4880 WHERE "Crowd" > '17,000' AND "Venue" = 'punt road oval'
|
wikisql
|
CREATE TABLE table_name_48 (
location VARCHAR,
round VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What was the location of the match that ended before round 2, against Hikaru Sato?
|
SELECT location FROM table_name_48 WHERE round < 2 AND opponent = "hikaru sato"
|
sql_create_context
|
CREATE TABLE table_5726 (
"Date" text,
"Tournament" text,
"Location" text,
"Winner" text,
"Score" text,
"1st prize ( $ )" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the location of the tournament on Feb 10?
|
SELECT "Location" FROM table_5726 WHERE "Date" = 'feb 10'
|
wikisql
|
CREATE TABLE table_43128 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the total number of medals when the bronze is more than 1, and Germany is the nation, and gold medals less than 1?
|
SELECT COUNT("Total") FROM table_43128 WHERE "Bronze" > '1' AND "Nation" = 'germany' AND "Gold" < '1'
|
wikisql
|
CREATE TABLE table_43006 (
"Pos." text,
"Nationality" text,
"Previous team" text,
"NBA years [a ]" real,
"Career with the franchise [b ]" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the previous team of the United States player who had 2 NBA years and played the F position?
|
SELECT "Previous team" FROM table_43006 WHERE "Nationality" = 'united states' AND "NBA years [a ]" = '2' AND "Pos." = 'f'
|
wikisql
|
CREATE TABLE table_name_77 (
constructor VARCHAR,
time_retired VARCHAR,
grid VARCHAR,
laps VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who constructed the car with a grid under 15, 77 laps, and a Time/Retired of + 0.771?
|
SELECT constructor FROM table_name_77 WHERE grid < 15 AND laps = 77 AND time_retired = "+ 0.771"
|
sql_create_context
|
CREATE TABLE table_name_39 (
away_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the visiting team of Melbourne's score?
|
SELECT away_team AS score FROM table_name_39 WHERE away_team = "melbourne"
|
sql_create_context
|
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 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 ENROLL (
CLASS_CODE varchar(5),
STU_NUM int,
ENROLL_GRADE varchar(50)
)
CREATE TABLE COURSE (
CRS_CODE varchar(10),
DEPT_CODE varchar(10),
CRS_DESCRIPTION varchar(35),
CRS_CREDIT float(8)
)
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.
-- Find the max gpa of all students in each department with a bar chart.
|
SELECT DEPT_CODE, MAX(STU_GPA) FROM STUDENT GROUP BY DEPT_CODE
|
nvbench
|
CREATE TABLE table_12765 (
"Rank" real,
"Name" text,
"Birth date" text,
"Death date" text,
"Age (as of 1 February 2014)" text,
"Place of death or residence" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Death date has a Rank smaller than 49, and an Age (as of 1 February 2014) of 112 years, 172 days?
|
SELECT "Death date" FROM table_12765 WHERE "Rank" < '49' AND "Age (as of 1 February 2014)" = '112 years, 172 days'
|
wikisql
|
CREATE TABLE table_name_31 (
place_of_birth VARCHAR,
elector VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is listed as the Place of birth for the Elector of Soffredo?
|
SELECT place_of_birth FROM table_name_31 WHERE elector = "soffredo"
|
sql_create_context
|
CREATE TABLE table_8183 (
"Club" text,
"Sport" text,
"Founded" real,
"League" text,
"Venue" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Club has a Founded smaller than 1882, and a League of fa premier league?
|
SELECT "Club" FROM table_8183 WHERE "Founded" < '1882' AND "League" = 'fa premier league'
|
wikisql
|
CREATE TABLE table_name_47 (
crowd INTEGER,
home_team VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the highest crowd for Home team of geelong?
|
SELECT MAX(crowd) FROM table_name_47 WHERE home_team = "geelong"
|
sql_create_context
|
CREATE TABLE table_name_37 (
opponent VARCHAR,
game VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who has a Game smaller than 43, and a Record of 23-14-3?
|
SELECT opponent FROM table_name_37 WHERE game < 43 AND record = "23-14-3"
|
sql_create_context
|
CREATE TABLE table_44441 (
"Driver" text,
"Team" text,
"Laps" text,
"Time/Retired" text,
"Grid" text,
"Laps Led" text,
"Points" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the grid of team dreyer & reinbold racing, which has 26 points?
|
SELECT "Grid" FROM table_44441 WHERE "Team" = 'dreyer & reinbold racing' AND "Points" = '26'
|
wikisql
|
CREATE TABLE table_7261 (
"Tournament" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text,
"2013" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the 2007 when the 2010 is 3r?
|
SELECT "2007" FROM table_7261 WHERE "2010" = '3r'
|
wikisql
|
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE 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 mzjzjlb_jybgb (
YLJGDM_MZJZJLB text,
BGDH number,
YLJGDM number
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_ZYJZJLB text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 查一下从04年7月29到09年6月20这一段时间里，医疗机构8907786处理的新生儿门诊就诊数是多少
|
SELECT COUNT(*) FROM mzjzjlb WHERE mzjzjlb.YLJGDM = '8907786' AND mzjzjlb.JZKSRQ BETWEEN '2004-07-29' AND '2009-06-20' AND mzjzjlb.ZSEBZ > 0
|
css
|
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what was the number of hours that has elapsed since patient 012-37411 first received a procedure on this hospital visit?
|
SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', treatment.treatmenttime)) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-37411' AND patient.hospitaldischargetime IS NULL)) ORDER BY treatment.treatmenttime LIMIT 1
|
eicu
|
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what are the lowest one way fares from ATLANTA to DENVER
|
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ATLANTA' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'DENVER' AND FAREalias1.round_trip_required = 'NO' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
atis
|
CREATE TABLE table_80390 (
"Team" text,
"Manager" text,
"Captain" text,
"Kit manufacturer" text,
"Shirt sponsor" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which captain has howard wilkinson as the manager?
|
SELECT "Captain" FROM table_80390 WHERE "Manager" = 'howard wilkinson'
|
wikisql
|
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- what intake did patient 016-5052 last receive until 06/05/2104?
|
SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-5052')) AND intakeoutput.cellpath LIKE '%intake%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) <= '2104-06-05' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1
|
eicu
|
CREATE TABLE table_name_49 (
prince_devitt VARCHAR,
block_a VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the Prince Devitt when Block A is Yamato?
|
SELECT prince_devitt FROM table_name_49 WHERE block_a = "yamato"
|
sql_create_context
|
CREATE TABLE table_58946 (
"Binary" real,
"Octal" real,
"Decimal" real,
"Hexadecimal" real,
"Glyph" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- What is the average hexadecimal with a decimal less than 53, an octal less than 61, and a glyph greater than 0?
|
SELECT AVG("Hexadecimal") FROM table_58946 WHERE "Decimal" < '53' AND "Octal" < '61' AND "Glyph" > '0'
|
wikisql
|
CREATE TABLE table_name_77 (
tournament VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which tournament had a 2009 result of 1R?
|
SELECT tournament FROM table_name_77 WHERE 2009 = "1r"
|
sql_create_context
|
CREATE TABLE table_name_98 (
rank VARCHAR,
nation VARCHAR,
places VARCHAR,
points VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Tell me the total number of rank for places less than 94 and points less than 169.8 for japan
|
SELECT COUNT(rank) FROM table_name_98 WHERE places < 94 AND points < 169.8 AND nation = "japan"
|
sql_create_context
|
CREATE TABLE table_2562572_5 (
city___municipality VARCHAR,
cyrillic_name VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Name the city for
|
SELECT city___municipality FROM table_2562572_5 WHERE cyrillic_name = "Ада"
|
sql_create_context
|
CREATE TABLE table_70143 (
"Year" text,
"Starts" real,
"Cuts made" real,
"Wins" real,
"Top 10" real,
"Top 25" real,
"Earnings (\u20ac)" real,
"Money list rank" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which total number of starts has more than 2 wins and a money list rank greater than 1?
|
SELECT COUNT("Starts") FROM table_70143 WHERE "Wins" > '2' AND "Money list rank" > '1'
|
wikisql
|
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a bar chart about the distribution of job_id and the sum of manager_id , and group by attribute job_id.
|
SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID
|
nvbench
|
CREATE TABLE table_76464 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"Location" text,
"Record" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Opponent has a Score of 92-111?
|
SELECT "Opponent" FROM table_76464 WHERE "Score" = '92-111'
|
wikisql
|
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE 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 PostTags (
PostId number,
TagId number
)
CREATE TABLE PostTypes (
Id number,
Name 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 Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE 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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId 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 PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Score from questions by user....
|
SELECT COUNT(a.Score) FROM Posts AS a, Posts AS q WHERE a.OwnerUserId = 31503 AND q.OwnerUserId = 28539 AND a.ParentId = q.Id AND a.Id = q.AcceptedAnswerId
|
sede
|
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 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 d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_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 outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label 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 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 procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE 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 is the three year survival rate of opioid abuse-unspec patients diagnosed?
|
SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t2.charttime) > 3 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'opioid abuse-unspec') GROUP BY admissions.subject_id HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 3 * 365) AS t2 JOIN patients ON t2.subject_id = patients.subject_id
|
mimic_iii
|
CREATE TABLE table_19744915_18 (
rank INTEGER,
couple VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- When roxanne and daniel are the couple what is the highest rank?
|
SELECT MAX(rank) FROM table_19744915_18 WHERE couple = "Roxanne and Daniel"
|
sql_create_context
|
CREATE TABLE table_name_60 (
score VARCHAR,
visitor VARCHAR,
record VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which score was for the Spurs as visitors with record of 35 16?
|
SELECT score FROM table_name_60 WHERE visitor = "spurs" AND record = "35–16"
|
sql_create_context
|
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show me school_id by all road in a histogram
|
SELECT All_Road, School_ID FROM basketball_match
|
nvbench
|
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE wdmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH number,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
XL number,
YLJGDM number,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE 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 zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE jybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH text,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 病人编号为16815496在06年9月29日到2016年1月16日这段时间，病人被开出的所有检验报告单的科室编码以及名称分别是多少？
|
SELECT jybgb.KSBM, jybgb.KSMC FROM hz_info JOIN wdmzjzjlb JOIN jybgb 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 WHERE hz_info.RYBH = '16815496' AND jybgb.BGRQ BETWEEN '2006-09-29' AND '2016-01-16' UNION SELECT jybgb.KSBM, jybgb.KSMC FROM hz_info JOIN bdmzjzjlb JOIN jybgb 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 WHERE hz_info.RYBH = '16815496' AND jybgb.BGRQ BETWEEN '2006-09-29' AND '2016-01-16' UNION SELECT jybgb.KSBM, jybgb.KSMC FROM hz_info JOIN zyjzjlb JOIN jybgb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB WHERE hz_info.RYBH = '16815496' AND jybgb.BGRQ BETWEEN '2006-09-29' AND '2016-01-16'
|
css
|
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of job_id and the average of department_id , and group by attribute job_id, and sort from low to high by the X-axis.
|
SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID
|
nvbench
|
CREATE TABLE county_public_safety (
County_ID int,
Name text,
Population int,
Police_officers int,
Residents_per_officer int,
Case_burden int,
Crime_rate real,
Police_force text,
Location text
)
CREATE TABLE city (
City_ID int,
County_ID int,
Name text,
White real,
Black real,
Amerindian real,
Asian real,
Multiracial real,
Hispanic real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Show the number of cities in each country with a bar chart.
|
SELECT T2.Name, COUNT(T2.Name) FROM city AS T1 JOIN county_public_safety AS T2 ON T1.County_ID = T2.County_ID GROUP BY T2.Name
|
nvbench
|
CREATE TABLE table_14563349_11 (
date VARCHAR,
opponent VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- How many days were the Kansas City Chiefs the opposing team?
|
SELECT COUNT(date) FROM table_14563349_11 WHERE opponent = "Kansas City Chiefs"
|
sql_create_context
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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 less than 89 years are diagnosed with benzodiazepine-based tranquilizers causing adverse effects in therapeutic use?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "89" AND diagnoses.long_title = "Benzodiazepine-based tranquilizers causing adverse effects in therapeutic use"
|
mimicsql_data
|
CREATE TABLE Companies (
Industry VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- List the industry shared by the most companies.
|
SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1
|
sql_create_context
|
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 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 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 diagnoses icd9 code is 4464 and drug type is base?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "4464" AND prescriptions.drug_type = "BASE"
|
mimicsql_data
|
CREATE TABLE table_name_72 (
driver VARCHAR,
entrant VARCHAR
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the driver for Rovero Campello?
|
SELECT driver FROM table_name_72 WHERE entrant = "rovero campello"
|
sql_create_context
|
CREATE TABLE table_69832 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Which Chassis was featured in the year 1971?
|
SELECT "Chassis" FROM table_69832 WHERE "Year" = '1971'
|
wikisql
|
CREATE TABLE t_kc21_t_kc24 (
MED_CLINIC_ID text,
MED_SAFE_PAY_ID number
)
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_CLINIC_ID text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- 看看在00年6月12日到18年1月22日期间，医院9150592的医疗记录合计数
|
SELECT COUNT(*) FROM t_kc21 WHERE t_kc21.MED_SER_ORG_NO = '9150592' AND t_kc21.IN_HOSP_DATE BETWEEN '2000-06-12' AND '2018-01-22'
|
css
|
CREATE TABLE table_76542 (
"Tournament" text,
"Surface" text,
"Week" text,
"Winner" text,
"Finalist" text,
"Semifinalists" text
)
-- Using valid SQLite, answer the following questions for the tables provided above.
-- Who was the winner in the Indian Wells?
|
SELECT "Winner" FROM table_76542 WHERE "Tournament" = 'indian wells'
|
wikisql
|
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