context stringlengths 11 9.12k | question stringlengths 0 1.06k | SQL stringlengths 2 4.44k | source stringclasses 28 values |
|---|---|---|---|
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BBCJBW text,
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CREATE TABLE zzmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
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ZZYSGH text
) | 在张秀媛的患者的检查过程中有哪些检验报告单对应的检验结果指标是都不正常的？具体的检验报告单号是啥？ | SELECT jybgb.BGDH FROM person_info JOIN hz_info JOIN zzmzjzjlb JOIN jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zzmzjzjlb.YLJGDM AND hz_info.KH = zzmzjzjlb.KH AND hz_info.KLX = zzmzjzjlb.KLX AND zzmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND zzmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE person_info.XM = '张秀媛' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL >= jyjgzbb.CKZFWXX AND jyjgzbb.JCZBJGDL <= jyjgzbb.CKZFWSX) UNION SELECT jybgb.BGDH FROM person_info JOIN hz_info JOIN fzzmzjzjlb JOIN jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = fzzmzjzjlb.YLJGDM AND hz_info.KH = fzzmzjzjlb.KH AND hz_info.KLX = fzzmzjzjlb.KLX AND fzzmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND fzzmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB WHERE person_info.XM = '张秀媛' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL >= jyjgzbb.CKZFWXX AND jyjgzbb.JCZBJGDL <= jyjgzbb.CKZFWSX) UNION SELECT jybgb.BGDH FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB WHERE person_info.XM = '张秀媛' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL >= jyjgzbb.CKZFWXX AND jyjgzbb.JCZBJGDL <= jyjgzbb.CKZFWSX) | css |
CREATE TABLE table_7057 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
) | What is the total of silver when gold is less than 0? | SELECT SUM("Silver") FROM table_7057 WHERE "Gold" < '0' | wikisql |
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | count the number of patients whose primary disease is left colon cancer and procedure short title is temporary tracheostomy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "LEFT COLON CANCER" AND procedures.short_title = "Temporary tracheostomy" | mimicsql_data |
CREATE TABLE third_party_companies (
company_id number,
company_type text,
company_name text,
company_address text,
other_company_details text
)
CREATE TABLE part_faults (
part_fault_id number,
part_id number,
fault_short_name text,
fault_description text,
other_fault_details text
)
CREATE TABLE skills_required_to_fix (
part_fault_id number,
skill_id number
)
CREATE TABLE asset_parts (
asset_id number,
part_id number
)
CREATE TABLE assets (
asset_id number,
maintenance_contract_id number,
supplier_company_id number,
asset_details text,
asset_make text,
asset_model text,
asset_acquired_date time,
asset_disposed_date time,
other_asset_details text
)
CREATE TABLE parts (
part_id number,
part_name text,
chargeable_yn text,
chargeable_amount text,
other_part_details text
)
CREATE TABLE engineer_visits (
engineer_visit_id number,
contact_staff_id number,
engineer_id number,
fault_log_entry_id number,
fault_status text,
visit_start_datetime time,
visit_end_datetime time,
other_visit_details text
)
CREATE TABLE staff (
staff_id number,
staff_name text,
gender text,
other_staff_details text
)
CREATE TABLE maintenance_contracts (
maintenance_contract_id number,
maintenance_contract_company_id number,
contract_start_date time,
contract_end_date time,
other_contract_details text
)
CREATE TABLE fault_log_parts (
fault_log_entry_id number,
part_fault_id number,
fault_status text
)
CREATE TABLE skills (
skill_id number,
skill_code text,
skill_description text
)
CREATE TABLE engineer_skills (
engineer_id number,
skill_id number
)
CREATE TABLE maintenance_engineers (
engineer_id number,
company_id number,
first_name text,
last_name text,
other_details text
)
CREATE TABLE fault_log (
fault_log_entry_id number,
asset_id number,
recorded_by_staff_id number,
fault_log_entry_datetime time,
fault_description text,
other_fault_details text
) | List the all the assets make, model, details by the disposed date ascendingly. | SELECT asset_make, asset_model, asset_details FROM assets ORDER BY asset_disposed_date | spider |
CREATE TABLE table_12703 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Attendance" text
) | What was the away team for the game in Slough Town? | SELECT "Away team" FROM table_12703 WHERE "Home team" = 'slough town' | wikisql |
CREATE TABLE table_21445 (
"Team #1" text,
"Points" text,
"Team #2" text,
"1st leg" text,
"2nd leg" text
) | When they played Universidad de Chile, what was the score of the first leg? | SELECT COUNT("1st leg") FROM table_21445 WHERE "Team #2" = 'Universidad de Chile' | wikisql |
CREATE TABLE table_name_55 (
result VARCHAR,
date VARCHAR
) | What was the result on 1990-11-04? | SELECT result FROM table_name_55 WHERE date = "1990-11-04" | sql_create_context |
CREATE TABLE table_56031 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | How many points did the away team score when the home team scored 16.12 (108)? | SELECT "Away team score" FROM table_56031 WHERE "Home team score" = '16.12 (108)' | wikisql |
CREATE TABLE jobs (
job_id text,
job_title text,
min_salary number,
max_salary number
)
CREATE TABLE regions (
region_id number,
region_name text
)
CREATE TABLE locations (
location_id number,
street_address text,
postal_code text,
city text,
state_province text,
country_id text
)
CREATE TABLE employees (
employee_id number,
first_name text,
last_name text,
email text,
phone_number text,
hire_date time,
job_id text,
salary number,
commission_pct number,
manager_id number,
department_id number
)
CREATE TABLE job_history (
employee_id number,
start_date time,
end_date time,
job_id text,
department_id number
)
CREATE TABLE countries (
country_id text,
country_name text,
region_id number
)
CREATE TABLE departments (
department_id number,
department_name text,
manager_id number,
location_id number
) | display job title and average salary of employees. | SELECT job_title, AVG(salary) FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id GROUP BY T2.job_title | spider |
CREATE TABLE table_204_812 (
id number,
"#" number,
"prime minister" text,
"date of birth" text,
"start date\nof (first) term" text,
"age at beginning\nof (first) term" text,
"end date\nof (final) term" text,
"total time in\noffice" text,
"date of death" text,
"lifespan" text
) | how many australian prime ministers were older than 50 at the time they began their first term ? | SELECT COUNT("prime minister") FROM table_204_812 WHERE "age at beginning\nof (first) term" >= 50 | squall |
CREATE TABLE tv_series (
sid int,
title text,
release_year int,
num_of_seasons int,
num_of_episodes int,
title_aka text,
budget text
)
CREATE TABLE made_by (
id int,
msid int,
pid int
)
CREATE TABLE company (
id int,
name text,
country_code varchar
)
CREATE TABLE producer (
pid int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE written_by (
id int,
msid int,
wid int
)
CREATE TABLE actor (
aid int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE director (
did int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE copyright (
id int,
msid int,
cid int
)
CREATE TABLE keyword (
id int,
keyword text
)
CREATE TABLE tags (
id int,
msid int,
kid int
)
CREATE TABLE cast (
id int,
msid int,
aid int,
role text
)
CREATE TABLE genre (
gid int,
genre text
)
CREATE TABLE classification (
id int,
msid int,
gid int
)
CREATE TABLE writer (
wid int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE movie (
mid int,
title text,
release_year int,
title_aka text,
budget text
)
CREATE TABLE directed_by (
id int,
msid int,
did int
) | which company funded the ' Mickey Mouse ' series | SELECT company.name FROM company, copyright, tv_series WHERE copyright.cid = company.id AND tv_series.sid = copyright.msid AND tv_series.title = 'Mickey Mouse' | imdb |
CREATE TABLE residents_services (
resident_id number,
service_id number,
date_moved_in time,
property_id number,
date_requested time,
date_provided time,
other_details text
)
CREATE TABLE services (
service_id number,
organization_id number,
service_type_code text,
service_details text
)
CREATE TABLE customers (
customer_id number,
customer_details text
)
CREATE TABLE organizations (
organization_id number,
parent_organization_id number,
organization_details text
)
CREATE TABLE properties (
property_id number,
property_type_code text,
property_address text,
other_details text
)
CREATE TABLE timed_locations_of_things (
thing_id number,
date_and_time time,
location_code text
)
CREATE TABLE customer_event_notes (
customer_event_note_id number,
customer_event_id number,
service_type_code text,
resident_id number,
property_id number,
date_moved_in time
)
CREATE TABLE residents (
resident_id number,
property_id number,
date_moved_in time,
date_moved_out time,
other_details text
)
CREATE TABLE things (
thing_id number,
organization_id number,
type_of_thing_code text,
service_type_code text,
service_details text
)
CREATE TABLE customer_events (
customer_event_id number,
customer_id number,
date_moved_in time,
property_id number,
resident_id number,
thing_id number
)
CREATE TABLE timed_status_of_things (
thing_id number,
date_and_date time,
status_of_thing_code text
) | What is the maximum number that a certain service is provided? List the service id, details and number. | SELECT T1.service_id, T1.service_details, COUNT(*) FROM services AS T1 JOIN residents_services AS T2 ON T1.service_id = T2.service_id GROUP BY T1.service_id ORDER BY COUNT(*) DESC LIMIT 1 | spider |
CREATE TABLE table_46849 (
"Position" real,
"Team" text,
"Played" real,
"Drawn" real,
"Lost" real,
"Goals For" real,
"Goals Against" real,
"Goal Difference" text,
"Points 1" text
) | What is the largest drawn number when 14 is the position, and goals for is more than 66? | SELECT MAX("Drawn") FROM table_46849 WHERE "Position" = '14' AND "Goals For" > '66' | wikisql |
CREATE TABLE t_kc21_t_kc22 (
MED_CLINIC_ID text,
MED_EXP_DET_ID number
)
CREATE TABLE t_kc22 (
AMOUNT number,
CHA_ITEM_LEV number,
DATA_ID text,
DIRE_TYPE number,
DOSE_FORM text,
DOSE_UNIT text,
EACH_DOSAGE text,
EXP_OCC_DATE time,
FLX_MED_ORG_ID text,
FXBZ number,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
MED_DIRE_CD text,
MED_DIRE_NM text,
MED_EXP_BILL_ID text,
MED_EXP_DET_ID text,
MED_INV_ITEM_TYPE text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_SELF_AMO number,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
QTY number,
RECIPE_BILL_ID text,
REF_STA_FLG number,
REIMBURS_TYPE number,
REMOTE_SETTLE_FLG text,
RER_SOL number,
SELF_PAY_AMO number,
SELF_PAY_PRO number,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
SPEC text,
STA_DATE time,
STA_FLG number,
SYNC_TIME time,
TRADE_TYPE number,
UNIVALENT number,
UP_LIMIT_AMO number,
USE_FRE text,
VAL_UNIT text
)
CREATE TABLE t_kc21 (
CLINIC_ID text,
CLINIC_TYPE text,
COMP_ID text,
DATA_ID text,
DIFF_PLACE_FLG number,
FERTILITY_STS number,
FLX_MED_ORG_ID text,
HOSP_LEV number,
HOSP_STS number,
IDENTITY_CARD text,
INPT_AREA_BED text,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
IN_HOSP_DATE time,
IN_HOSP_DAYS number,
MAIN_COND_DES text,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
MED_SER_ORG_NO text,
MED_TYPE number,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
PERSON_AGE number,
PERSON_ID text,
PERSON_NM text,
PERSON_SEX number,
REIMBURSEMENT_FLG number,
REMOTE_SETTLE_FLG text,
SERVANT_FLG text,
SOC_SRT_CARD text,
SYNC_TIME time,
TRADE_TYPE number
)
CREATE TABLE t_kc24 (
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
CASH_PAY number,
CIVIL_SUBSIDY number,
CKC102 number,
CLINIC_ID text,
CLINIC_SLT_DATE time,
COMP_ID text,
COM_ACC_PAY number,
COM_PAY number,
DATA_ID text,
ENT_ACC_PAY number,
ENT_PAY number,
FLX_MED_ORG_ID text,
ILL_PAY number,
INSURED_IDENTITY number,
INSURED_STS text,
INSU_TYPE text,
LAS_OVE_PAY number,
MED_AMOUT number,
MED_CLINIC_ID text,
MED_SAFE_PAY_ID text,
MED_TYPE number,
OLDC_FUND_PAY number,
OUT_HOSP_DATE time,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
OVE_ADD_PAY number,
OVE_PAY number,
PERSON_ID text,
PER_ACC_PAY number,
PER_EXP number,
PER_SOL number,
RECEIVER_DEAL_ID text,
RECEIVER_OFFSET_ID text,
RECEIVER_REVOKE_ID text,
RECIPE_BILL_ID text,
REF_SLT_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
SENDER_OFFSET_ID text,
SENDER_REVOKE_ID text,
SPE_FUND_PAY number,
SUP_ADD_PAY number,
SYNC_TIME time,
TRADE_TYPE number
) | 把医院4560557全部医疗就诊的记录里民政补助的金额比上全部的医疗费用额度的最大比值参照不同的科室编号和不同的入院诊断疾病的编号列一下，并且把结果从大到小排出来 | SELECT t_kc21.MED_ORG_DEPT_CD, t_kc21.IN_DIAG_DIS_NM, MAX(t_kc24.CIVIL_SUBSIDY) FROM t_kc21 JOIN t_kc24 ON t_kc21.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE t_kc21.MED_SER_ORG_NO = '4560557' GROUP BY t_kc21.MED_ORG_DEPT_CD, t_kc21.IN_DIAG_DIS_NM ORDER BY MAX(t_kc24.CIVIL_SUBSIDY / t_kc24.MED_AMOUT) DESC | css |
CREATE TABLE table_name_50 (
date VARCHAR,
leading_scorer VARCHAR
) | What date was Carlos Boozer (23) the leading scorer? | SELECT date FROM table_name_50 WHERE leading_scorer = "carlos boozer (23)" | sql_create_context |
CREATE TABLE table_2182562_1 (
wins VARCHAR,
avg_start VARCHAR
) | How many wins when the average start is 29.0? | SELECT COUNT(wins) FROM table_2182562_1 WHERE avg_start = "29.0" | sql_create_context |
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE VoteTypes (
Id number,
Name 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 PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE 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 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 FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId 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 ReviewTaskResultTypes (
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 CloseReasonTypes (
Id number,
Name text,
Description text
) | Proportion of Questions with an Accepted Answer. | SELECT 1.0 * COUNT(CASE WHEN NOT AcceptedAnswerId IS NULL THEN 1 ELSE NULL END) / COUNT(*) FROM Posts WHERE PostTypeId = 1 | sede |
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
) | what is the number of medicare patients who had clofarabine intravenous infusion? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicare" AND procedures.short_title = "IV infusion clofarabine" | mimicsql_data |
CREATE TABLE table_name_60 (
Id VARCHAR
) | How many sets were played in the tournament that had 4R in 2011 and 2R in 2008? | SELECT 2009 FROM table_name_60 WHERE 2011 = "4r" AND 2008 = "2r" | sql_create_context |
CREATE TABLE table_667 (
"Year" real,
"Finish position" text,
"1st day" text,
"2nd day" text,
"3rd day" text,
"4th Day" text
) | what's the 3rd day with finbeingh position being 16th | SELECT "3rd day" FROM table_667 WHERE "Finish position" = '16th' | wikisql |
CREATE TABLE table_name_62 (
home VARCHAR,
visitor VARCHAR,
date VARCHAR
) | What was the home team that played Vancouver on April 29? | SELECT home FROM table_name_62 WHERE visitor = "vancouver" AND date = "april 29" | sql_create_context |
CREATE TABLE table_70691 (
"Region" text,
"Date" text,
"Label" text,
"Format" text,
"Catalog" text
) | What Date has a label of alfa records? | SELECT "Date" FROM table_70691 WHERE "Label" = 'alfa records' | wikisql |
CREATE TABLE t_kc24 (
MED_SAFE_PAY_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
REF_SLT_FLG number,
CLINIC_SLT_DATE time,
COMP_ID text,
PERSON_ID text,
FLX_MED_ORG_ID text,
INSU_TYPE text,
MED_AMOUT number,
PER_ACC_PAY number,
OVE_PAY number,
ILL_PAY number,
CIVIL_SUBSIDY number,
PER_SOL number,
PER_EXP number,
DATA_ID text,
SYNC_TIME time,
OUT_HOSP_DATE time,
CLINIC_ID text,
MED_TYPE number,
INSURED_STS text,
INSURED_IDENTITY number,
TRADE_TYPE number,
RECIPE_BILL_ID text,
ACCOUNT_DASH_DATE time,
ACCOUNT_DASH_FLG number,
REIMBURS_FLG number,
SENDER_DEAL_ID text,
RECEIVER_DEAL_ID text,
SENDER_REVOKE_ID text,
RECEIVER_REVOKE_ID text,
SENDER_OFFSET_ID text,
RECEIVER_OFFSET_ID text,
LAS_OVE_PAY number,
OVE_ADD_PAY number,
SUP_ADD_PAY number,
CKC102 number,
CASH_PAY number,
COM_ACC_PAY number,
ENT_ACC_PAY number,
ENT_PAY number,
COM_PAY number,
OLDC_FUND_PAY number,
SPE_FUND_PAY number
)
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,
VAL_UNIT text,
DOSE_UNIT text,
DOSE_FORM text,
SPEC text,
USE_FRE text,
EACH_DOSAGE text,
QTY number,
UNIVALENT number,
AMOUNT number,
SELF_PAY_PRO number,
RER_SOL number,
SELF_PAY_AMO number,
UP_LIMIT_AMO number,
OVE_SELF_AMO number,
EXP_OCC_DATE time,
RECIPE_BILL_ID text,
FLX_MED_ORG_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
REF_STA_FLG number,
DATA_ID text,
SYNC_TIME time,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
TRADE_TYPE number,
STA_FLG number,
STA_DATE time,
REIMBURS_TYPE number,
FXBZ number,
REMOTE_SETTLE_FLG text
)
CREATE TABLE t_kc21 (
MED_CLINIC_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
COMP_ID text,
PERSON_ID text,
PERSON_NM text,
IDENTITY_CARD text,
SOC_SRT_CARD text,
PERSON_SEX number,
PERSON_AGE number,
IN_HOSP_DATE time,
OUT_HOSP_DATE time,
DIFF_PLACE_FLG number,
FLX_MED_ORG_ID text,
MED_SER_ORG_NO text,
CLINIC_TYPE text,
MED_TYPE number,
CLINIC_ID text,
IN_DIAG_DIS_CD text,
IN_DIAG_DIS_NM text,
OUT_DIAG_DIS_CD text,
OUT_DIAG_DIS_NM text,
INPT_AREA_BED text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
OUT_DIAG_DOC_CD text,
OUT_DIAG_DOC_NM text,
MAIN_COND_DES text,
INSU_TYPE text,
IN_HOSP_DAYS number,
MED_AMOUT number,
FERTILITY_STS number,
DATA_ID text,
SYNC_TIME time,
REIMBURSEMENT_FLG number,
HOSP_LEV number,
HOSP_STS number,
INSURED_IDENTITY number,
SERVANT_FLG text,
TRADE_TYPE number,
INSURED_STS text,
REMOTE_SETTLE_FLG text
) | 和我讲讲医疗就诊53117897919中药品402418932-k所属的三大目录类别各是什么？ | SELECT DIRE_TYPE FROM t_kc22 WHERE MED_CLINIC_ID = '53117897919' AND SOC_SRT_DIRE_CD = '402418932-k' | css |
CREATE TABLE table_11838 (
"Name" text,
"Country" text,
"Reign began" text,
"Reign ended" text,
"Length" text
) | When did Pharaoh Seth's reign end? | SELECT "Reign ended" FROM table_11838 WHERE "Name" = 'pharaoh seth' | wikisql |
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) | Find the number of patients whose ethnicity is white - russian and drug route is ivpca? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND prescriptions.route = "IVPCA" | mimicsql_data |
CREATE TABLE grapes (
ID INTEGER,
Grape TEXT,
Color TEXT
)
CREATE TABLE wine (
No INTEGER,
Grape TEXT,
Winery TEXT,
Appelation TEXT,
State TEXT,
Name TEXT,
Year INTEGER,
Price INTEGER,
Score INTEGER,
Cases INTEGER,
Drink TEXT
)
CREATE TABLE appellations (
No INTEGER,
Appelation TEXT,
County TEXT,
State TEXT,
Area TEXT,
isAVA TEXT
) | What are the number of the wines that have prices lower than 50 and have appelations in Monterey county?, and display by the x-axis in desc. | SELECT Name, COUNT(Name) FROM appellations AS T1 JOIN wine AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = "Monterey" AND T2.Price < 50 GROUP BY Name ORDER BY Name DESC | nvbench |
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE 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 d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
) | what would be the average yearly number of patients diagnosed with toxic myopathy since 3 years ago? | SELECT AVG(t1.c1) FROM (SELECT COUNT(DISTINCT diagnoses_icd.hadm_id) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'toxic myopathy') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY STRFTIME('%y', diagnoses_icd.charttime)) AS t1 | mimic_iii |
CREATE TABLE table_75150 (
"Player" text,
"Position" text,
"Starter" text,
"Touchdowns" real,
"Extra points" real,
"Field goals" real,
"Points" real
) | How many extra points did right halfback Roswell Wendell have? | SELECT "Extra points" FROM table_75150 WHERE "Position" = 'right halfback' AND "Player" = 'roswell wendell' | wikisql |
CREATE TABLE table_name_25 (
company_or_product_name VARCHAR,
money_requested__£_ VARCHAR,
entrepreneur_s_ VARCHAR
) | What was the Company or Product name where Entrepreneurs Geoff and Colette Bell requested 75,000? | SELECT company_or_product_name FROM table_name_25 WHERE money_requested__£_ = "75,000" AND entrepreneur_s_ = "geoff and colette bell" | sql_create_context |
CREATE TABLE t_kc22 (
MED_EXP_DET_ID text,
OVERALL_CD_ORG text,
OVERALL_CD_PERSON text,
MED_CLINIC_ID text,
MED_EXP_BILL_ID text,
SOC_SRT_DIRE_CD text,
SOC_SRT_DIRE_NM text,
DIRE_TYPE number,
CHA_ITEM_LEV number,
MED_INV_ITEM_TYPE text,
MED_DIRE_CD text,
MED_DIRE_NM text,
VAL_UNIT text,
DOSE_UNIT text,
DOSE_FORM text,
SPEC text,
USE_FRE text,
EACH_DOSAGE text,
QTY number,
UNIVALENT number,
AMOUNT number,
SELF_PAY_PRO number,
RER_SOL number,
SELF_PAY_AMO number,
UP_LIMIT_AMO number,
OVE_SELF_AMO number,
EXP_OCC_DATE time,
RECIPE_BILL_ID text,
FLX_MED_ORG_ID text,
MED_ORG_DEPT_CD text,
MED_ORG_DEPT_NM text,
HOSP_DOC_CD text,
HOSP_DOC_NM text,
REF_STA_FLG number,
DATA_ID text,
SYNC_TIME time,
PRESCRIPTION_CODE text,
PRESCRIPTION_ID text,
TRADE_TYPE number,
STA_FLG number,
STA_DATE time,
REIMBURS_TYPE number,
FXBZ number,
REMOTE_SETTLE_FLG text
)
CREATE TABLE t_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
) | 看看在02年7月20日到12年4月8日期间，医院8578851的购药医疗记录合计数 | SELECT COUNT(*) FROM t_kc21 WHERE MED_SER_ORG_NO = '8578851' AND IN_HOSP_DATE BETWEEN '2002-07-20' AND '2012-04-08' AND CLINIC_TYPE = '购药' | css |
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | what number of patients born before the year 2034 had lab test item id 51009? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2034" AND lab.itemid = "51009" | mimicsql_data |
CREATE TABLE table_name_77 (
circuit VARCHAR,
session VARCHAR
) | What circuit has qualifying as the session? | SELECT circuit FROM table_name_77 WHERE session = "qualifying" | sql_create_context |
CREATE TABLE table_name_42 (
floors INTEGER,
height__m_ VARCHAR
) | What are the fewest floors for the building that has a height of 116 meters? | SELECT MIN(floors) FROM table_name_42 WHERE height__m_ = 116 | sql_create_context |
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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
) | what is the one year survival rate of patients suffering from acute respiratory failure - due to pulmonary infiltrates who were prescribed cefazolin 2 gm in ns 100 ml ivpb (repackage)? | SELECT SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t4.diagnosistime) > 1 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.uniquepid, t2.diagnosistime FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute respiratory failure - due to pulmonary infiltrates' GROUP BY patient.uniquepid HAVING MIN(diagnosis.diagnosistime) = diagnosis.diagnosistime) AS t1) AS t2 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'cefazolin 2 gm in ns 100 ml ivpb (repackage)') AS t3 ON t2.uniquepid = t3.uniquepid WHERE t2.diagnosistime < t3.drugstarttime) AS t4 JOIN patient ON t4.uniquepid = patient.uniquepid | eicu |
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ZYBMLX number,
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ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE jybgb (
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BBMC text,
BBZT number,
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JZLSH text,
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JZLSH_ZYJZJLB text,
JZLX number,
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KSMC text,
SHRGH text,
SHRXM text,
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SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
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YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
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CREATE TABLE txmzjzjlb (
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HZXM text,
JLSJ time,
JZJSSJ time,
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JZKSMC text,
JZKSRQ time,
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KLX number,
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SSY number,
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TW number,
TZ number,
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XL number,
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ZSEBZ number,
ZZBZ number,
ZZYSGH text
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CREATE TABLE ftxmzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
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BGDH text,
BGRQ time,
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CKZFWSX number,
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JCFF text,
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JCRXM text,
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JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
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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
) | 哪一天进行75820096573这个门诊就诊呢 | SELECT txmzjzjlb.JZKSRQ FROM txmzjzjlb WHERE txmzjzjlb.JZLSH = '75820096573' UNION SELECT ftxmzjzjlb.JZKSRQ FROM ftxmzjzjlb WHERE ftxmzjzjlb.JZLSH = '75820096573' | css |
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
) | How many hispanic, latino, or puerto rican patients are on drug named sucralfate? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND prescriptions.drug = "Sucralfate" | mimicsql_data |
CREATE TABLE table_name_23 (
player VARCHAR,
to_par VARCHAR,
score VARCHAR
) | What player has +3 to par and score of 75-72=147? | SELECT player FROM table_name_23 WHERE to_par = "+3" AND score = 75 - 72 = 147 | sql_create_context |
CREATE TABLE table_name_19 (
score VARCHAR,
place VARCHAR,
country VARCHAR
) | What's the score for the t10 player from zimbabwe? | SELECT score FROM table_name_19 WHERE place = "t10" AND country = "zimbabwe" | sql_create_context |
CREATE TABLE Staff_Department_Assignments (
staff_id INTEGER,
department_id INTEGER,
date_assigned_from DATETIME,
job_title_code VARCHAR(10),
date_assigned_to DATETIME
)
CREATE TABLE Customer_Orders (
order_id INTEGER,
customer_id INTEGER,
order_status_code VARCHAR(10),
order_date DATETIME
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
order_id INTEGER,
product_id INTEGER
)
CREATE TABLE Product_Suppliers (
product_id INTEGER,
supplier_id INTEGER,
date_supplied_from DATETIME,
date_supplied_to DATETIME,
total_amount_purchased VARCHAR(80),
total_value_purchased DECIMAL(19,4)
)
CREATE TABLE Supplier_Addresses (
supplier_id INTEGER,
address_id INTEGER,
date_from DATETIME,
date_to DATETIME
)
CREATE TABLE Department_Store_Chain (
dept_store_chain_id INTEGER,
dept_store_chain_name VARCHAR(80)
)
CREATE TABLE Suppliers (
supplier_id INTEGER,
supplier_name VARCHAR(80),
supplier_phone VARCHAR(80)
)
CREATE TABLE Products (
product_id INTEGER,
product_type_code VARCHAR(10),
product_name VARCHAR(80),
product_price DECIMAL(19,4)
)
CREATE TABLE Addresses (
address_id INTEGER,
address_details VARCHAR(255)
)
CREATE TABLE Staff (
staff_id INTEGER,
staff_gender VARCHAR(1),
staff_name VARCHAR(80)
)
CREATE TABLE Customer_Addresses (
customer_id INTEGER,
address_id INTEGER,
date_from DATETIME,
date_to DATETIME
)
CREATE TABLE Departments (
department_id INTEGER,
dept_store_id INTEGER,
department_name VARCHAR(80)
)
CREATE TABLE Customers (
customer_id INTEGER,
payment_method_code VARCHAR(10),
customer_code VARCHAR(20),
customer_name VARCHAR(80),
customer_address VARCHAR(255),
customer_phone VARCHAR(80),
customer_email VARCHAR(80)
)
CREATE TABLE Department_Stores (
dept_store_id INTEGER,
dept_store_chain_id INTEGER,
store_name VARCHAR(80),
store_address VARCHAR(255),
store_phone VARCHAR(80),
store_email VARCHAR(80)
) | What are the names and ids of customers whose address contains TN Show bar chart, and rank in asc by the y-axis. | SELECT customer_name, customer_id FROM Customers WHERE customer_address LIKE "%TN%" ORDER BY customer_id | nvbench |
CREATE TABLE table_46904 (
"Game" real,
"Date" real,
"Opponent" text,
"Score" text,
"Decision" text,
"Location/Attendance" text,
"Record" text
) | What is Opponent, when Location/Attendance is 'Mellon Arena - 17,132'? | SELECT "Opponent" FROM table_46904 WHERE "Location/Attendance" = 'mellon arena - 17,132' | wikisql |
CREATE TABLE player (
player_id number,
player text,
years_played text,
total_wl text,
singles_wl text,
doubles_wl text,
team number
)
CREATE TABLE team (
team_id number,
name text
)
CREATE TABLE match_season (
season number,
player text,
position text,
country number,
team number,
draft_pick_number number,
draft_class text,
college text
)
CREATE TABLE country (
country_id number,
country_name text,
capital text,
official_native_language text
) | Show the players and years played for players from team 'Columbus Crew'. | SELECT T1.player, T1.years_played FROM player AS T1 JOIN team AS T2 ON T1.team = T2.team_id WHERE T2.name = "Columbus Crew" | spider |
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_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
) | 在75363192461的医疗就诊中，定价上限金额高于3738.33元的药品被开出了哪些，把清单列出来 | SELECT SOC_SRT_DIRE_CD, SOC_SRT_DIRE_NM FROM t_kc22 WHERE MED_CLINIC_ID = '75363192461' AND UP_LIMIT_AMO > 3738.33 | css |
CREATE TABLE table_name_7 (
district VARCHAR,
first_elected VARCHAR,
towns_represented VARCHAR
) | Which district had first elected earlier than 2006 for representation of Broken Arrow, Tulsa? | SELECT district FROM table_name_7 WHERE first_elected < 2006 AND towns_represented = "broken arrow, tulsa" | sql_create_context |
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE wdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
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,
YLJGDM number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE bdmzjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH number,
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,
YLJGDM number,
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 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
) | 从零七年到八月十一日之后，查查医疗机构7743304的住院就诊记录中入院登记有多少 | SELECT COUNT(*) FROM wdmzjzjlb WHERE wdmzjzjlb.YLJGDM = '7743304' AND wdmzjzjlb.RYDJSJ > '2007-08-11' UNION SELECT COUNT(*) FROM bdmzjzjlb WHERE bdmzjzjlb.YLJGDM = '7743304' AND bdmzjzjlb.RYDJSJ > '2007-08-11' | css |
CREATE TABLE Ref_Colors (
color_code VARCHAR(15),
color_description VARCHAR(80)
)
CREATE TABLE Ref_Characteristic_Types (
characteristic_type_code VARCHAR(15),
characteristic_type_description VARCHAR(80)
)
CREATE TABLE Product_Characteristics (
product_id INTEGER,
characteristic_id INTEGER,
product_characteristic_value VARCHAR(50)
)
CREATE TABLE Characteristics (
characteristic_id INTEGER,
characteristic_type_code VARCHAR(15),
characteristic_data_type VARCHAR(10),
characteristic_name VARCHAR(80),
other_characteristic_details VARCHAR(255)
)
CREATE TABLE Products (
product_id INTEGER,
color_code VARCHAR(15),
product_category_code VARCHAR(15),
product_name VARCHAR(80),
typical_buying_price VARCHAR(20),
typical_selling_price VARCHAR(20),
product_description VARCHAR(255),
other_product_details VARCHAR(255)
)
CREATE TABLE Ref_Product_Categories (
product_category_code VARCHAR(15),
product_category_description VARCHAR(80),
unit_of_measure VARCHAR(20)
) | A bar chart for finding the number of the category descriptions of the products whose descriptions include letter 't', and could you rank x axis from low to high order? | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description ORDER BY product_category_description | nvbench |
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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE 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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
) | count the number of patients who have had systemic antibiotics - quinolone performed since 3 years ago. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'systemic antibiotics - quinolone' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-3 year')) | eicu |
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE 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 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)
) | 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, return a line chart about the change of employee_id over hire_date . | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | nvbench |
CREATE TABLE table_79006 (
"Player" text,
"Team" text,
"Round 1" real,
"Round 2" text,
"Subtotal" real,
"Finals" text,
"Total" real
) | Which player has a subtotal of more than 3 and more than 8 in round 1? | SELECT "Player" FROM table_79006 WHERE "Subtotal" > '3' AND "Round 1" > '8' | wikisql |
CREATE TABLE table_name_65 (
socialist_ticket VARCHAR,
american_labor_ticket VARCHAR
) | Which Socialist candidate ran against American Labor candidate Caroline O'Day? | SELECT socialist_ticket FROM table_name_65 WHERE american_labor_ticket = "caroline o'day" | sql_create_context |
CREATE TABLE table_6390 (
"Year" real,
"Film" text,
"Role" text,
"Language" text,
"Notes" text
) | Which film has a role named Taylor? | SELECT "Film" FROM table_6390 WHERE "Role" = 'taylor' | wikisql |
CREATE TABLE table_56348 (
"Race" text,
"Date" text,
"Location" text,
"Pole Position" text,
"Fastest Lap" text,
"Race Winner" text,
"Constructor" text,
"Report" text
) | Who held pole position at the race won by Gilles Villeneuve, with the fastest lap held by Gilles Villeneuve, driving a Ferrari? | SELECT "Pole Position" FROM table_56348 WHERE "Fastest Lap" = 'gilles villeneuve' AND "Constructor" = 'ferrari' AND "Race Winner" = 'gilles villeneuve' | wikisql |
CREATE TABLE mission (
mission_id number,
ship_id number,
code text,
launched_year number,
location text,
speed_knots number,
fate text
)
CREATE TABLE ship (
ship_id number,
name text,
type text,
nationality text,
tonnage number
) | What are the types and nationalities of every ship? | SELECT type, nationality FROM ship | spider |
CREATE TABLE table_24872 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text
) | what is the name of the episode whose premiere was in march 2, 1997? | SELECT "Title" FROM table_24872 WHERE "Original air date" = 'March 2, 1997' | wikisql |
CREATE TABLE entrepreneur (
Entrepreneur_ID int,
People_ID int,
Company text,
Money_Requested real,
Investor text
)
CREATE TABLE people (
People_ID int,
Name text,
Height real,
Weight real,
Date_of_Birth text
) | Return the dates of birth for entrepreneurs who have either the investor Simon Woodroffe or Peter Jones, and count them by a bar chart, and rank by the how many date of birth from high to low. | SELECT Date_of_Birth, COUNT(Date_of_Birth) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones" ORDER BY COUNT(Date_of_Birth) DESC | nvbench |
CREATE TABLE table_62458 (
"Place" text,
"Player" text,
"Country" text,
"Score" real,
"To par" text
) | Which play is from Ireland? | SELECT "Player" FROM table_62458 WHERE "Country" = 'ireland' | wikisql |
CREATE TABLE table_66769 (
"Team" text,
"City" text,
"State" text,
"Home venue" text,
"Capacity" real
) | What is the state of the team who plays in Mumbai? | SELECT "State" FROM table_66769 WHERE "Team" = 'mumbai' | wikisql |
CREATE TABLE table_32861 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | What is the size of the crowd for the game with Footscray as the home team? | SELECT AVG("Crowd") FROM table_32861 WHERE "Home team" = 'footscray' | wikisql |
CREATE TABLE table_49705 (
"Exit Date" text,
"Pos." text,
"Player" text,
"To club" text,
"Transfer fee" text
) | Ashley Grimes had what to club? | SELECT "To club" FROM table_49705 WHERE "Player" = 'ashley grimes' | wikisql |
CREATE TABLE table_name_14 (
bronze INTEGER,
total VARCHAR,
gold VARCHAR,
nation VARCHAR
) | What is the lowest bronze medal count for Italy with fewer than 6 gold medals and greater than 10 total medals? | SELECT MIN(bronze) FROM table_name_14 WHERE gold < 6 AND nation = "italy" AND total > 10 | sql_create_context |
CREATE TABLE table_42819 (
"Date" text,
"Home captain" text,
"Away captain" text,
"Venue" text,
"Result" text
) | What was the result of the game that was played on 29,30 31 May 1902? | SELECT "Result" FROM table_42819 WHERE "Date" = '29,30–31 may 1902' | wikisql |
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId 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 ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
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 SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE CloseReasonTypes (
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 VoteTypes (
Id number,
Name text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE 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 ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
) | All CommunityWiky posts by users that aren't closed. | SELECT PostTypes.Name, Posts.Id AS "post_link", Posts.Score AS Score, Users.DisplayName, Posts.CreationDate FROM Posts INNER JOIN Users ON Posts.OwnerUserId = Users.Id INNER JOIN PostTypes ON Posts.PostTypeId = PostTypes.Id LEFT JOIN Posts AS ParentPosts ON Posts.ParentId = ParentPosts.Id WHERE Posts.PostTypeId IN (1, 2) AND Posts.ClosedDate IS NULL AND ParentPosts.ClosedDate IS NULL AND NOT (Posts.CommunityOwnedDate IS NULL) AND (ParentPosts.CommunityOwnedDate IS NULL) ORDER BY Users.DisplayName, Posts.CreationDate | sede |
CREATE TABLE table_36063 (
"Rank" real,
"Name" text,
"Team" text,
"Games" real,
"Rebounds" real
) | Which team has 48 rebounds? | SELECT "Team" FROM table_36063 WHERE "Rebounds" = '48' | wikisql |
CREATE TABLE table_56104 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
) | How many bronzes for nations ranked above 7, under 3 golds, and under 10 total medals? | SELECT COUNT("Bronze") FROM table_56104 WHERE "Rank" < '7' AND "Gold" < '3' AND "Total" < '10' | wikisql |
CREATE TABLE table_name_31 (
percent_of_slovenes_1951 VARCHAR,
village__german_ VARCHAR
) | What percentage of Slovenes lived in the village of Roach in 1951? | SELECT percent_of_slovenes_1951 FROM table_name_31 WHERE village__german_ = "roach" | sql_create_context |
CREATE TABLE table_73869 (
"Constituency" text,
"Candidate" text,
"Affiliation" text,
"Result - votes" real,
"Result - %" text,
"Loss/gain" text
) | How many values for constituency for the vote result of 162? | SELECT COUNT("Constituency") FROM table_73869 WHERE "Result - votes" = '162' | wikisql |
CREATE TABLE table_2840500_3 (
pick VARCHAR,
player VARCHAR
) | what is the overall number of chosen ideas where the person is scott parker | SELECT COUNT(pick) FROM table_2840500_3 WHERE player = "Scott Parker" | sql_create_context |
CREATE TABLE table_29447 (
"Club" text,
"Chairman" text,
"Current manager" text,
"Team captain" text,
"Kitmaker" text,
"Shirt sponsor" text
) | What is the club when the chairman is roger lambrecht? | SELECT "Club" FROM table_29447 WHERE "Chairman" = 'Roger Lambrecht' | wikisql |
CREATE TABLE table_10188 (
"Rank" real,
"Gymnast" text,
"Floor Exercise" real,
"Pommel Horse" real,
"Rings" real,
"Vault" real,
"Parallel Bars" real,
"Horizontal Bar" real,
"Total" real
) | Name the total number of pommel horses for vault of 9.475 and rank more than 16 | SELECT COUNT("Pommel Horse") FROM table_10188 WHERE "Rank" > '16' AND "Vault" = '9.475' | wikisql |
CREATE TABLE table_65340 (
"Draw" real,
"Entrant" text,
"Brand" text,
"Order" text,
"Eliminated by" text,
"Time" text
) | What is Mark Henry's brand? | SELECT "Brand" FROM table_65340 WHERE "Entrant" = 'mark henry' | wikisql |
CREATE TABLE table_name_54 (
profits__billion_ INTEGER,
sales__billion_$_ VARCHAR,
headquarters VARCHAR,
industry VARCHAR
) | How many profits is the company that is headquartered in the USA, in the banking industry, and has sales (billion $) less than 98.64 bringing in? | SELECT SUM(profits__billion_) AS $_ FROM table_name_54 WHERE headquarters = "usa" AND industry = "banking" AND sales__billion_$_ < 98.64 | sql_create_context |
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
) | For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and the average of manufacturer , and group by attribute name, and order by the Y in ascending. | SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Manufacturer | nvbench |
CREATE TABLE Settlements (
Settlement_ID INTEGER,
Claim_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER,
Customer_Policy_ID INTEGER
)
CREATE TABLE Customer_Policies (
Policy_ID INTEGER,
Customer_ID INTEGER,
Policy_Type_Code CHAR(15),
Start_Date DATE,
End_Date DATE
)
CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_Details VARCHAR(255)
)
CREATE TABLE Claims (
Claim_ID INTEGER,
Policy_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER
)
CREATE TABLE Payments (
Payment_ID INTEGER,
Settlement_ID INTEGER,
Payment_Method_Code VARCHAR(255),
Date_Payment_Made DATE,
Amount_Payment INTEGER
) | Bin the settlement date for each settlement case into the day of week interval and count them for visualizing a bar chart, show by the Y-axis in desc. | SELECT Date_Claim_Settled, COUNT(Date_Claim_Settled) FROM Settlements ORDER BY COUNT(Date_Claim_Settled) DESC | nvbench |
CREATE TABLE table_name_66 (
starts VARCHAR,
earnings__$_ VARCHAR,
cuts_made VARCHAR,
top_25 VARCHAR
) | How many Starts that have Cuts made of 2, Top 25 larger than 0, and Earnings ($) smaller than 338,067? | SELECT COUNT(starts) FROM table_name_66 WHERE cuts_made = 2 AND top_25 > 0 AND earnings__$_ < 338 OFFSET 067 | sql_create_context |
CREATE TABLE table_name_95 (
game INTEGER,
time VARCHAR
) | What is the number of the game that was played in the time of 2:38? | SELECT MAX(game) FROM table_name_95 WHERE time = "2:38" | sql_create_context |
CREATE TABLE table_203_581 (
id number,
"club" text,
"chinese" text,
"city" text,
"home stadium" text,
"capacity" number,
"average attendance" number
) | how many total clubs are listed ? | SELECT COUNT("club") FROM table_203_581 | squall |
CREATE TABLE table_name_33 (
notes VARCHAR,
call_sign VARCHAR
) | What is the Notes of the Frequency with Call sign CFUN-FM-1? | SELECT notes FROM table_name_33 WHERE call_sign = "cfun-fm-1" | sql_create_context |
CREATE TABLE table_name_10 (
player VARCHAR,
club_team VARCHAR
) | What Player Club Team is Indiana Ice (ushl)? | SELECT player FROM table_name_10 WHERE club_team = "indiana ice (ushl)" | sql_create_context |
CREATE TABLE table_34249 (
"Kanji" text,
"Name" text,
"Builder" text,
"Laid down" text,
"Launched" text,
"Completed" text
) | What is the Kanji for the Ayanami dd-45? | SELECT "Kanji" FROM table_34249 WHERE "Name" = 'ayanami dd-45' | wikisql |
CREATE TABLE table_2679061_9 (
nationality VARCHAR,
pick__number VARCHAR
) | What was the nationality of player picked no. 179? | SELECT nationality FROM table_2679061_9 WHERE pick__number = 179 | sql_create_context |
CREATE TABLE class (
class_code text,
crs_code text,
class_section text,
class_time text,
class_room text,
prof_num number
)
CREATE TABLE student (
stu_num number,
stu_lname text,
stu_fname text,
stu_init text,
stu_dob time,
stu_hrs number,
stu_class text,
stu_gpa number,
stu_transfer number,
dept_code text,
stu_phone text,
prof_num number
)
CREATE TABLE department (
dept_code text,
dept_name text,
school_code text,
emp_num number,
dept_address text,
dept_extension text
)
CREATE TABLE enroll (
class_code text,
stu_num number,
enroll_grade text
)
CREATE TABLE course (
crs_code text,
dept_code text,
crs_description text,
crs_credit number
)
CREATE TABLE professor (
emp_num number,
dept_code text,
prof_office text,
prof_extension text,
prof_high_degree text
)
CREATE TABLE employee (
emp_num number,
emp_lname text,
emp_fname text,
emp_initial text,
emp_jobcode text,
emp_hiredate time,
emp_dob time
) | Which department has the highest average student GPA, and what is the average gpa? | SELECT T2.dept_name, AVG(T1.stu_gpa) FROM student AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code GROUP BY T1.dept_code ORDER BY AVG(T1.stu_gpa) DESC LIMIT 1 | spider |
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
zyjzjlb_id number
)
CREATE TABLE hz_info_zyjzjlb (
JZLSH number,
YLJGDM number,
zyjzjlb_id number
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE 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
) | 查一下从2001-08-28到2006-01-01这期间，患者窦碧玉去9175260这个医疗机构看过几次门诊 | SELECT COUNT(*) FROM person_info JOIN hz_info JOIN mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE person_info.XM = '窦碧玉' AND mzjzjlb.JZKSRQ BETWEEN '2001-08-28' AND '2006-01-01' AND mzjzjlb.YLJGDM = '9175260' | css |
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
) | what's the name of the drug that was first prescribed to patient 60136? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 60136) ORDER BY prescriptions.startdate LIMIT 1 | mimic_iii |
CREATE TABLE table_train_232 (
"id" int,
"metastatic_cancer" bool,
"hemoglobin_a1c_hba1c" float,
"diabetic" string,
"short_life_expectancy" bool,
"body_mass_index_bmi" float,
"a1c" float,
"NOUSE" float
) | body mass index range ( 25 _ 38 kg / m2 ) with type ii diabetes mellitus receiving stable dose of metformin bid for the previous 60 days for glucose control | SELECT * FROM table_train_232 WHERE body_mass_index_bmi >= 25 AND body_mass_index_bmi <= 38 AND diabetic = 'ii' | criteria2sql |
CREATE TABLE table_1820752_1 (
constellation VARCHAR,
spectral_type VARCHAR
) | If the spectral type is g1v, what is the constellation? | SELECT constellation FROM table_1820752_1 WHERE spectral_type = "G1V" | sql_create_context |
CREATE TABLE table_name_46 (
points INTEGER,
player VARCHAR,
tries VARCHAR
) | What is the average number of points scored by Joe Vagana when making fewer than 2 tries? | SELECT AVG(points) FROM table_name_46 WHERE player = "joe vagana" AND tries < 2 | sql_create_context |
CREATE TABLE table_204_211 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
) | who is the only country to win only golds ? | SELECT "nation" FROM table_204_211 WHERE "silver" = 0 AND "bronze" = 0 | squall |
CREATE TABLE mzjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM number,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE person_info (
CSD text,
CSRQ time,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
MZDM text,
MZMC text,
RYBH text,
XBDM number,
XBMC text,
XLDM text,
XLMC text,
XM text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jyjgzbb (
BGDH text,
BGRQ time,
CKZFWDX text,
CKZFWSX number,
CKZFWXX number,
JCFF text,
JCRGH text,
JCRXM text,
JCXMMC text,
JCZBDM text,
JCZBJGDL number,
JCZBJGDW text,
JCZBJGDX text,
JCZBMC text,
JLDW text,
JYRQ time,
JYZBLSH text,
SBBM text,
SHRGH text,
SHRXM text,
YLJGDM text,
YQBH text,
YQMC text
)
CREATE TABLE mzjzjlb (
HXPLC number,
HZXM text,
JLSJ time,
JZJSSJ time,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
JZLSH text,
JZZDBM text,
JZZDSM text,
JZZTDM number,
JZZTMC text,
KH text,
KLX number,
MJZH text,
ML number,
MZZYZDZZBM text,
MZZYZDZZMC text,
NLS number,
NLY number,
QTJZYSGH text,
SG number,
SSY number,
SZY number,
TW number,
TXBZ number,
TZ number,
WDBZ number,
XL number,
YLJGDM text,
ZSEBZ number,
ZZBZ number,
ZZYSGH text
)
CREATE TABLE zyjybgb (
BBCJBW text,
BBDM text,
BBMC text,
BBZT number,
BGDH number,
BGJGDM text,
BGJGMC text,
BGRGH text,
BGRQ time,
BGRXM text,
BGSJ time,
CJRQ time,
JSBBRQSJ time,
JSBBSJ time,
JYBBH text,
JYJGMC text,
JYJSGH text,
JYJSQM text,
JYKSBM text,
JYKSMC text,
JYLX number,
JYRQ time,
JYSQJGMC text,
JYXMDM text,
JYXMMC text,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
KSBM text,
KSMC text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
SQRGH text,
SQRQ time,
SQRXM text,
YLJGDM number,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text
)
CREATE TABLE hz_info (
KH text,
KLX number,
RYBH text,
YLJGDM text
)
CREATE TABLE zyjzjlb (
CYBQDM text,
CYBQMC text,
CYCWH text,
CYKSDM text,
CYKSMC text,
CYSJ time,
CYZTDM number,
HZXM text,
JZKSDM text,
JZKSMC text,
JZLSH text,
KH text,
KLX number,
MZBMLX number,
MZJZLSH text,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYCWH text,
RYDJSJ time,
RYSJ time,
RYTJDM number,
RYTJMC text,
RZBQDM text,
RZBQMC text,
WDBZ number,
YLJGDM text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text
) | 门诊上一般被诊断为慢性支气管炎的患者的检测指标454629数值的平均值以及最值会是怎样的数据 | SELECT AVG(jyjgzbb.JCZBJGDL), MIN(jyjgzbb.JCZBJGDL), MAX(jyjgzbb.JCZBJGDL) FROM mzjzjlb JOIN zyjybgb JOIN jyjgzbb ON mzjzjlb.YLJGDM = zyjybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = zyjybgb.JZLSH_MZJZJLB AND zyjybgb.YLJGDM = jyjgzbb.YLJGDM AND zyjybgb.BGDH = jyjgzbb.BGDH WHERE mzjzjlb.JZZDSM = '慢性支气管炎' AND jyjgzbb.JCZBDM = '454629' UNION SELECT AVG(jyjgzbb.JCZBJGDL), MIN(jyjgzbb.JCZBJGDL), MAX(jyjgzbb.JCZBJGDL) FROM mzjzjlb JOIN mzjybgb JOIN jyjgzbb ON mzjzjlb.YLJGDM = mzjybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = mzjybgb.JZLSH_MZJZJLB AND mzjybgb.YLJGDM = jyjgzbb.YLJGDM AND mzjybgb.BGDH = jyjgzbb.BGDH WHERE mzjzjlb.JZZDSM = '慢性支气管炎' AND jyjgzbb.JCZBDM = '454629' | css |
CREATE TABLE jybgb (
YLJGDM text,
YLJGDM_MZJZJLB text,
YLJGDM_ZYJZJLB text,
BGDH text,
BGRQ time,
JYLX number,
JZLSH text,
JZLSH_MZJZJLB text,
JZLSH_ZYJZJLB text,
JZLX number,
KSBM text,
KSMC text,
SQRGH text,
SQRXM text,
BGRGH text,
BGRXM text,
SHRGH text,
SHRXM text,
SHSJ time,
SQKS text,
SQKSMC text,
JYKSBM text,
JYKSMC text,
BGJGDM text,
BGJGMC text,
SQRQ time,
CJRQ time,
JYRQ time,
BGSJ time,
BBDM text,
BBMC text,
JYBBH text,
BBZT number,
BBCJBW text,
JSBBSJ time,
JYXMMC text,
JYXMDM text,
JYSQJGMC text,
JYJGMC text,
JSBBRQSJ time,
JYJSQM text,
JYJSGH text
)
CREATE TABLE hz_info (
KH text,
KLX number,
YLJGDM text,
RYBH text
)
CREATE TABLE person_info (
RYBH text,
XBDM number,
XBMC text,
XM text,
CSRQ time,
CSD text,
MZDM text,
MZMC text,
GJDM text,
GJMC text,
JGDM text,
JGMC text,
XLDM text,
XLMC text,
ZYLBDM text,
ZYMC text
)
CREATE TABLE jyjgzbb (
JYZBLSH text,
YLJGDM text,
BGDH text,
BGRQ time,
JYRQ time,
JCRGH text,
JCRXM text,
SHRGH text,
SHRXM text,
JCXMMC text,
JCZBDM text,
JCFF text,
JCZBMC text,
JCZBJGDX text,
JCZBJGDL number,
JCZBJGDW text,
SBBM text,
YQBH text,
YQMC text,
CKZFWDX text,
CKZFWXX number,
CKZFWSX number,
JLDW text
)
CREATE TABLE mzjzjlb (
YLJGDM text,
JZLSH text,
KH text,
KLX number,
MJZH text,
HZXM text,
NLS number,
NLY number,
ZSEBZ number,
JZZTDM number,
JZZTMC text,
JZJSSJ time,
TXBZ number,
ZZBZ number,
WDBZ number,
JZKSBM text,
JZKSMC text,
JZKSRQ time,
ZZYSGH text,
QTJZYSGH text,
JZZDBM text,
JZZDSM text,
MZZYZDZZBM text,
MZZYZDZZMC text,
SG number,
TZ number,
TW number,
SSY number,
SZY number,
XL number,
HXPLC number,
ML number,
JLSJ time
)
CREATE TABLE zyjzjlb (
YLJGDM text,
JZLSH text,
MZJZLSH text,
KH text,
KLX number,
HZXM text,
WDBZ number,
RYDJSJ time,
RYTJDM number,
RYTJMC text,
JZKSDM text,
JZKSMC text,
RZBQDM text,
RZBQMC text,
RYCWH text,
CYKSDM text,
CYKSMC text,
CYBQDM text,
CYBQMC text,
CYCWH text,
ZYBMLX number,
ZYZDBM text,
ZYZDMC text,
ZYZYZDZZBM text,
ZYZYZDZZMC text,
MZBMLX number,
MZZDBM text,
MZZDMC text,
MZZYZDZZBM text,
RYSJ time,
CYSJ time,
CYZTDM number
) | 哪些患者在02981540665住院就诊，查询病人的卡号以及卡的类型 | SELECT KH, KLX FROM zyjzjlb WHERE JZLSH = '02981540665' | css |
CREATE TABLE table_name_25 (
away_team VARCHAR
) | Name the away team score for geelong away team | SELECT away_team AS score FROM table_name_25 WHERE away_team = "geelong" | sql_create_context |
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
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 PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE 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 ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
) | High View Counts with no Images. Questions whos answers don't have any screenshots but have a very high view count | SELECT P.Id AS "post_link", P.Score, P.ViewCount FROM Posts AS P WHERE P.ClosedDate IS NULL AND P.PostTypeId = 1 AND P.AnswerCount >= 1 AND P.Id NOT IN (SELECT A.ParentId FROM Posts AS A WHERE A.PostTypeId = 2 AND A.Score >= 2 AND A.Body LIKE '%imgur%') ORDER BY P.ViewCount DESC | sede |
CREATE TABLE table_name_12 (
date VARCHAR,
score VARCHAR,
record VARCHAR
) | Which Date has a Score of 24-7, and a Record of 4-10? | SELECT date FROM table_name_12 WHERE score = "24-7" AND record = "4-10" | sql_create_context |
CREATE TABLE table_28600 (
"Year" real,
"Under-11" text,
"Under-13" text,
"Under-15" text,
"Under-17" text,
"Under-19" text
) | In the year 2009 who was the under-13? | SELECT "Under-13" FROM table_28600 WHERE "Year" = '2009' | wikisql |
CREATE TABLE table_name_23 (
crowd INTEGER,
home_team VARCHAR
) | When the Home team of geelong played, what was their lowest Crowd number? | SELECT MIN(crowd) FROM table_name_23 WHERE home_team = "geelong" | sql_create_context |
CREATE TABLE table_name_47 (
pick INTEGER,
round VARCHAR,
overall VARCHAR
) | How many picks had a round smaller than 6 and an overall bigger than 153? | SELECT SUM(pick) FROM table_name_47 WHERE round < 6 AND overall > 153 | sql_create_context |
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
) | what are patient 012-169's gender? | SELECT DISTINCT patient.gender FROM patient WHERE patient.uniquepid = '012-169' | eicu |
CREATE TABLE Financial_Transactions (
transaction_id INTEGER,
account_id INTEGER,
invoice_number INTEGER,
transaction_type VARCHAR(15),
transaction_date DATETIME,
transaction_amount DECIMAL(19,4),
transaction_comment VARCHAR(255),
other_transaction_details VARCHAR(255)
)
CREATE TABLE Invoice_Line_Items (
order_item_id INTEGER,
invoice_number INTEGER,
product_id INTEGER,
product_title VARCHAR(80),
product_quantity VARCHAR(50),
product_price DECIMAL(19,4),
derived_product_cost DECIMAL(19,4),
derived_vat_payable DECIMAL(19,4),
derived_total_cost DECIMAL(19,4)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
date_account_opened DATETIME,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
CREATE TABLE Orders (
order_id INTEGER,
customer_id INTEGER,
date_order_placed DATETIME,
order_details VARCHAR(255)
)
CREATE TABLE Invoices (
invoice_number INTEGER,
order_id INTEGER,
invoice_date DATETIME
)
CREATE TABLE Product_Categories (
production_type_code VARCHAR(15),
product_type_description VARCHAR(80),
vat_rating DECIMAL(19,4)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(50),
customer_middle_initial VARCHAR(1),
customer_last_name VARCHAR(50),
gender VARCHAR(1),
email_address VARCHAR(255),
login_name VARCHAR(80),
login_password VARCHAR(20),
phone_number VARCHAR(255),
town_city VARCHAR(50),
state_county_province VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
order_id INTEGER,
product_id INTEGER,
product_quantity VARCHAR(50),
other_order_item_details VARCHAR(255)
)
CREATE TABLE Products (
product_id INTEGER,
parent_product_id INTEGER,
production_type_code VARCHAR(15),
unit_price DECIMAL(19,4),
product_name VARCHAR(80),
product_color VARCHAR(20),
product_size VARCHAR(20)
) | Plot a scatter chart, order id by the total number . | SELECT order_id, COUNT(*) FROM Invoices GROUP BY order_id | nvbench |
CREATE TABLE table_name_73 (
player VARCHAR,
country VARCHAR,
to_par VARCHAR
) | Name the Player who has a Country of united states, and a To par of 5? | SELECT player FROM table_name_73 WHERE country = "united states" AND to_par = "–5" | sql_create_context |
CREATE TABLE table_40286 (
"Week of" text,
"Tier" text,
"Winner" text,
"Runner-up" text,
"Semi finalists" text
) | What is the Semi finalists when the Runner-up was katrina adams zina garrison-jackson? | SELECT "Semi finalists" FROM table_40286 WHERE "Runner-up" = 'katrina adams zina garrison-jackson' | wikisql |
CREATE TABLE table_name_29 (
size_difference VARCHAR,
prefix VARCHAR
) | What is the size difference for exa? | SELECT size_difference FROM table_name_29 WHERE prefix = "exa" | sql_create_context |
CREATE TABLE table_11982 (
"Date" text,
"Venue" text,
"Opponent" text,
"Result" text,
"Tournament" text,
"Scored" real
) | Where was the game with the result of 22-20 played? | SELECT "Venue" FROM table_11982 WHERE "Result" = '22-20' | wikisql |
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