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CREATE TABLE table_4792 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is Melbourne's home venue?
SELECT "Venue" FROM table_4792 WHERE "Home team" = 'melbourne'
wikisql
CREATE TABLE table_name_26 ( home_team VARCHAR, away_team VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who was North Melbourne's home opponent?
SELECT home_team FROM table_name_26 WHERE away_team = "north melbourne"
sql_create_context
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 jybgb ( YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text, BGDH text, BGRQ time, JYLX number, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SQRGH text, SQRXM text, BGRGH text, BGRXM text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, JYKSBM text, JYKSMC text, BGJGDM text, BGJGMC text, SQRQ time, CJRQ time, JYRQ time, BGSJ time, BBDM text, BBMC text, JYBBH text, BBZT number, BBCJBW text, JSBBSJ time, JYXMMC text, JYXMDM text, JYSQJGMC text, JYJGMC text, JSBBRQSJ time, JYJSQM text, JYJSGH text ) CREATE TABLE mzjzjlb ( YLJGDM text, JZLSH text, KH text, KLX number, MJZH text, HZXM text, NLS number, NLY number, ZSEBZ number, JZZTDM number, JZZTMC text, JZJSSJ time, TXBZ number, ZZBZ number, WDBZ number, JZKSBM text, JZKSMC text, JZKSRQ time, ZZYSGH text, QTJZYSGH text, JZZDBM text, JZZDSM text, MZZYZDZZBM text, MZZYZDZZMC text, SG number, TZ number, TW number, SSY number, SZY number, XL number, HXPLC number, ML number, JLSJ time ) CREATE TABLE hz_info ( KH text, KLX number, YLJGDM text, RYBH text ) CREATE TABLE zyjzjlb ( YLJGDM text, JZLSH text, MZJZLSH text, KH text, KLX number, HZXM text, WDBZ number, RYDJSJ time, RYTJDM number, RYTJMC text, JZKSDM text, JZKSMC text, RZBQDM text, RZBQMC text, RYCWH text, CYKSDM text, CYKSMC text, CYBQDM text, CYBQMC text, CYCWH text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text, MZBMLX number, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYSJ time, CYSJ time, CYZTDM number ) CREATE TABLE person_info ( RYBH text, XBDM number, XBMC text, XM text, CSRQ time, CSD text, MZDM text, MZMC text, GJDM text, GJMC text, JGDM text, JGMC text, XLDM text, XLMC text, ZYLBDM text, ZYMC text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 在2006年5月28日到2010年11月23日之间患者柏蕴秀所有检验结果指标记录的检测人为花嘉淑的检验指标流水号分别是多少?
(SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '柏蕴秀' AND jyjgzbb.JYRQ BETWEEN '2006-05-28' AND '2010-11-23' AND jyjgzbb.JCRGH = '花嘉淑') UNION (SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '柏蕴秀' AND jyjgzbb.JYRQ BETWEEN '2006-05-28' AND '2010-11-23' AND jyjgzbb.JCRXM = '花嘉淑')
css
CREATE TABLE table_name_79 ( player VARCHAR, first_team_appearances VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who is the player who has had 7 first team appearances?
SELECT player FROM table_name_79 WHERE first_team_appearances = "7"
sql_create_context
CREATE TABLE table_name_98 ( match_report VARCHAR, result_score VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which match report has l 7-30 as the result/score?
SELECT match_report FROM table_name_98 WHERE result_score = "l 7-30"
sql_create_context
CREATE TABLE table_name_40 ( winning_score VARCHAR, tournament VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the winning score for the B.C. Open 1 tournament?
SELECT winning_score FROM table_name_40 WHERE tournament = "b.c. open 1"
sql_create_context
CREATE TABLE table_204_29 ( id number, "rank" number, "lane" number, "name" text, "nationality" text, "time" text, "notes" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- was marco loughran 's time more or less than ashley delaney 's time ?
SELECT (SELECT "time" FROM table_204_29 WHERE "name" = 'marco loughran') > (SELECT "time" FROM table_204_29 WHERE "name" = 'ashley delaney')
squall
CREATE TABLE t_kc22 ( AMOUNT number, CHA_ITEM_LEV number, DATA_ID text, DIRE_TYPE number, DOSE_FORM text, DOSE_UNIT text, EACH_DOSAGE text, EXP_OCC_DATE time, FLX_MED_ORG_ID text, FXBZ number, HOSP_DOC_CD text, HOSP_DOC_NM text, MED_CLINIC_ID text, MED_DIRE_CD text, MED_DIRE_NM text, MED_EXP_BILL_ID text, MED_EXP_DET_ID text, MED_INV_ITEM_TYPE text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_SELF_AMO number, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, QTY number, RECIPE_BILL_ID text, REF_STA_FLG number, REIMBURS_TYPE number, REMOTE_SETTLE_FLG text, RER_SOL number, SELF_PAY_AMO number, SELF_PAY_PRO number, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, SPEC text, STA_DATE time, STA_FLG number, SYNC_TIME time, TRADE_TYPE number, UNIVALENT number, UP_LIMIT_AMO number, USE_FRE text, VAL_UNIT text ) CREATE TABLE t_kc21 ( CLINIC_ID text, CLINIC_TYPE text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc21_t_kc24 ( MED_CLINIC_ID text, MED_SAFE_PAY_ID number ) CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 医疗就诊79030741932里面需要个人自理的金额一共要花费多少元?
SELECT t_kc24.PER_SOL FROM t_kc24 JOIN t_kc21_t_kc24 JOIN t_kc21 ON t_kc21_t_kc24.MED_SAFE_PAY_ID = t_kc24.MED_SAFE_PAY_ID AND t_kc21_t_kc24.MED_CLINIC_ID = t_kc21.MED_CLINIC_ID WHERE t_kc21.MED_CLINIC_ID = '79030741932'
css
CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId 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 PostTags ( PostId number, TagId number ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) 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 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 PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE 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 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 PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Number of users that fall within a reputation range.
SELECT COUNT(U.Id) AS "Total Users" FROM Users AS U WHERE U.Reputation > '##MinimumReputation:int##' AND U.Reputation < '##MaximumReputation:int##'
sede
CREATE TABLE t_kc24 ( MED_SAFE_PAY_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, REF_SLT_FLG number, CLINIC_SLT_DATE time, COMP_ID text, PERSON_ID text, FLX_MED_ORG_ID text, INSU_TYPE text, MED_AMOUT number, PER_ACC_PAY number, OVE_PAY number, ILL_PAY number, CIVIL_SUBSIDY number, PER_SOL number, PER_EXP number, DATA_ID text, SYNC_TIME time, OUT_HOSP_DATE time, CLINIC_ID text, MED_TYPE number, INSURED_STS text, INSURED_IDENTITY number, TRADE_TYPE number, RECIPE_BILL_ID text, ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, RECEIVER_DEAL_ID text, SENDER_REVOKE_ID text, RECEIVER_REVOKE_ID text, SENDER_OFFSET_ID text, RECEIVER_OFFSET_ID text, LAS_OVE_PAY number, OVE_ADD_PAY number, SUP_ADD_PAY number, CKC102 number, CASH_PAY number, COM_ACC_PAY number, ENT_ACC_PAY number, ENT_PAY number, COM_PAY number, OLDC_FUND_PAY number, SPE_FUND_PAY number ) CREATE TABLE t_kc22 ( MED_EXP_DET_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, MED_EXP_BILL_ID text, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, DIRE_TYPE number, CHA_ITEM_LEV number, MED_INV_ITEM_TYPE text, MED_DIRE_CD text, MED_DIRE_NM text, VAL_UNIT text, DOSE_UNIT text, DOSE_FORM text, SPEC text, USE_FRE text, EACH_DOSAGE text, QTY number, UNIVALENT number, AMOUNT number, SELF_PAY_PRO number, RER_SOL number, SELF_PAY_AMO number, UP_LIMIT_AMO number, OVE_SELF_AMO number, EXP_OCC_DATE time, RECIPE_BILL_ID text, FLX_MED_ORG_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, HOSP_DOC_CD text, HOSP_DOC_NM text, REF_STA_FLG number, DATA_ID text, SYNC_TIME time, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, TRADE_TYPE number, STA_FLG number, STA_DATE time, REIMBURS_TYPE number, FXBZ number, REMOTE_SETTLE_FLG text ) CREATE TABLE t_kc21 ( MED_CLINIC_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, COMP_ID text, PERSON_ID text, PERSON_NM text, IDENTITY_CARD text, SOC_SRT_CARD text, PERSON_SEX number, PERSON_AGE number, IN_HOSP_DATE time, OUT_HOSP_DATE time, DIFF_PLACE_FLG number, FLX_MED_ORG_ID text, MED_SER_ORG_NO text, CLINIC_TYPE text, MED_TYPE number, CLINIC_ID text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, INPT_AREA_BED text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, MAIN_COND_DES text, INSU_TYPE text, IN_HOSP_DAYS number, MED_AMOUT number, FERTILITY_STS number, DATA_ID text, SYNC_TIME time, REIMBURSEMENT_FLG number, HOSP_LEV number, HOSP_STS number, INSURED_IDENTITY number, SERVANT_FLG text, TRADE_TYPE number, INSURED_STS text, REMOTE_SETTLE_FLG text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 在医疗就诊99717700753里,病人71655978自费金额最高的项目是哪一项?
SELECT SOC_SRT_DIRE_CD, SOC_SRT_DIRE_NM FROM t_kc22 WHERE MED_CLINIC_ID = '99717700753' GROUP BY SOC_SRT_DIRE_CD ORDER BY SUM(SELF_PAY_AMO) DESC LIMIT 1
css
CREATE TABLE Transactions_Lots ( transaction_id INTEGER, lot_id INTEGER ) CREATE TABLE Transactions ( transaction_id INTEGER, investor_id INTEGER, transaction_type_code VARCHAR(10), date_of_transaction DATETIME, amount_of_transaction DECIMAL(19,4), share_count VARCHAR(40), other_details VARCHAR(255) ) CREATE TABLE Investors ( investor_id INTEGER, Investor_details VARCHAR(255) ) CREATE TABLE Purchases ( purchase_transaction_id INTEGER, purchase_details VARCHAR(255) ) CREATE TABLE Sales ( sales_transaction_id INTEGER, sales_details VARCHAR(255) ) CREATE TABLE Ref_Transaction_Types ( transaction_type_code VARCHAR(10), transaction_type_description VARCHAR(80) ) CREATE TABLE Lots ( lot_id INTEGER, investor_id INTEGER, lot_details VARCHAR(255) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Bar chart x axis lot details y axis the number of lot details
SELECT lot_details, COUNT(lot_details) FROM Lots GROUP BY lot_details
nvbench
CREATE TABLE table_12338595_1 ( interview VARCHAR, evening_gown VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which interview score corresponds with the evening gown score of 8.977?
SELECT interview FROM table_12338595_1 WHERE evening_gown = "8.977"
sql_create_context
CREATE TABLE table_name_27 ( country VARCHAR, money___$__ VARCHAR, player VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which country has a prize smaller than $250 and the player Henry Picard?
SELECT country FROM table_name_27 WHERE money___$__ < 250 AND player = "henry picard"
sql_create_context
CREATE TABLE table_30533 ( "No." real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text, "U.S. viewers (million)" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who wrote the episode with production code 2j5568?
SELECT "Written by" FROM table_30533 WHERE "Production code" = '2J5568'
wikisql
CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE gsi ( course_offering_id int, student_id int ) CREATE TABLE student ( student_id int, lastname varchar, firstname varchar, program_id int, declare_major varchar, total_credit int, total_gpa float, entered_as varchar, admit_term int, predicted_graduation_semester int, degree varchar, minor varchar, internship varchar ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments int, respected int, participation int, heavy_reading int, tough_grader int, hilarious int, would_take_again int, good_lecture int, no_skip int ) CREATE TABLE program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar ) CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_projects varchar, has_exams varchar, num_reviews int, clarity_score int, easiness_score int, helpfulness_score int ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE course_prerequisite ( pre_course_id int, course_id int ) CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many years has NRE 589 been offered for ?
SELECT DISTINCT semester.year FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'NRE' AND course.number = 589 AND semester.semester_id = course_offering.semester ORDER BY semester.year LIMIT 1
advising
CREATE TABLE table_train_42 ( "id" int, "taking_vitamin_c" bool, "do_not_resuscitate_dnr" bool, "allergy_to_thiamine" bool, "taking_thiamine" bool, "receiving_vasopressor" bool, "sepsis" bool, "hypotension" bool, "allergy_to_vitamin_c" bool, "glucose_6_phosphate_dehydrogenase_deficiency_g6pd" int, "limited_care" bool, "septic_shock" bool, "NOUSE" float ) -- Using valid SQLite, answer the following questions for the tables provided above. -- patients who take more than 1 g of vitamin c per day before enrollment or who take supplemental thiamine
SELECT * FROM table_train_42 WHERE taking_vitamin_c = 1 OR taking_thiamine = 1
criteria2sql
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what number of patients whose year of death is in or before the year 2179 had lab test for eosinophils?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2179.0" AND lab.label = "Eosinophils"
mimicsql_data
CREATE TABLE table_53440 ( "Race Name" text, "Circuit" text, "Date" text, "Winning driver" text, "Constructor" text, "Report" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What dates did Ferrari win races?
SELECT "Date" FROM table_53440 WHERE "Constructor" = 'ferrari'
wikisql
CREATE TABLE table_68527 ( "Compound name" text, "Colour" text, "Tread" text, "Driving conditions" text, "Dry Type*" text, "Grip" text, "Durability" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What compound is yellow?
SELECT "Compound name" FROM table_68527 WHERE "Colour" = 'yellow'
wikisql
CREATE TABLE table_26546 ( "No. in series" real, "No. in season" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the production code for the episode that originally aired on January 8, 1993?
SELECT MAX("Production code") FROM table_26546 WHERE "Original air date" = 'January 8, 1993'
wikisql
CREATE TABLE Medication ( Code INTEGER, Name VARCHAR(30), Brand VARCHAR(30), Description VARCHAR(30) ) CREATE TABLE Patient ( SSN INTEGER, Name VARCHAR(30), Address VARCHAR(30), Phone VARCHAR(30), InsuranceID INTEGER, PCP INTEGER ) CREATE TABLE Nurse ( EmployeeID INTEGER, Name VARCHAR(30), Position VARCHAR(30), Registered BOOLEAN, SSN INTEGER ) CREATE TABLE Undergoes ( Patient INTEGER, Procedures INTEGER, Stay INTEGER, DateUndergoes DATETIME, Physician INTEGER, AssistingNurse INTEGER ) CREATE TABLE Room ( RoomNumber INTEGER, RoomType VARCHAR(30), BlockFloor INTEGER, BlockCode INTEGER, Unavailable BOOLEAN ) CREATE TABLE Appointment ( AppointmentID INTEGER, Patient INTEGER, PrepNurse INTEGER, Physician INTEGER, Start DATETIME, End DATETIME, ExaminationRoom TEXT ) CREATE TABLE Procedures ( Code INTEGER, Name VARCHAR(30), Cost REAL ) CREATE TABLE Block ( BlockFloor INTEGER, BlockCode INTEGER ) CREATE TABLE Stay ( StayID INTEGER, Patient INTEGER, Room INTEGER, StayStart DATETIME, StayEnd DATETIME ) CREATE TABLE Trained_In ( Physician INTEGER, Treatment INTEGER, CertificationDate DATETIME, CertificationExpires DATETIME ) CREATE TABLE Department ( DepartmentID INTEGER, Name VARCHAR(30), Head INTEGER ) CREATE TABLE Affiliated_With ( Physician INTEGER, Department INTEGER, PrimaryAffiliation BOOLEAN ) CREATE TABLE Physician ( EmployeeID INTEGER, Name VARCHAR(30), Position VARCHAR(30), SSN INTEGER ) CREATE TABLE On_Call ( Nurse INTEGER, BlockFloor INTEGER, BlockCode INTEGER, OnCallStart DATETIME, OnCallEnd DATETIME ) CREATE TABLE Prescribes ( Physician INTEGER, Patient INTEGER, Medication INTEGER, Date DATETIME, Appointment INTEGER, Dose VARCHAR(30) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many patients do each physician take care of? List their names and number of patients they take care of. Visualize by pie chart.
SELECT T1.Name, COUNT(*) FROM Physician AS T1 JOIN Patient AS T2 ON T1.EmployeeID = T2.PCP GROUP BY T1.EmployeeID
nvbench
CREATE TABLE table_35267 ( "Name" text, "Term start" real, "Term end" text, "Date of Birth" text, "Date of Death" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which leader born on December 17, 1874 started their term before 1984?
SELECT "Name" FROM table_35267 WHERE "Term start" < '1984' AND "Date of Birth" = 'december 17, 1874'
wikisql
CREATE TABLE table_train_223 ( "id" int, "anemia" bool, "diabetic" string, "eye_disease" bool, "hgb" int, "retinal_pigmentation_abnormalities" bool, "glucose_6_phosphate_dehydrogenase_deficiency_g6pd" int, "age" float, "NOUSE" float ) -- Using valid SQLite, answer the following questions for the tables provided above. -- known glucose _ 6 phosphate dehydrogenase deficiency
SELECT * FROM table_train_223 WHERE glucose_6_phosphate_dehydrogenase_deficiency_g6pd = 1
criteria2sql
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many patients were admitted before the year 2172 with a lab test fibrin degradation products?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2172" AND lab.label = "Fibrin Degradation Products"
mimicsql_data
CREATE TABLE table_203_399 ( id number, "pos." text, "driver" text, "co-driver" text, "car" text, "time" text, "difference" text, "points" number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what was the time for the driver who came in last place ?
SELECT MAX("time") FROM table_203_399
squall
CREATE TABLE injury_accident ( game_id int, id int, Player text, Injury text, Number_of_matches text, Source text ) CREATE TABLE game ( stadium_id int, id int, Season int, Date text, Home_team text, Away_team text, Score text, Competition text ) CREATE TABLE stadium ( id int, name text, Home_Games int, Average_Attendance real, Total_Attendance real, Capacity_Percentage real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Show the number of games for each away team in a bar chart, and I want to sort by the the number of away team from low to high.
SELECT Away_team, COUNT(Away_team) FROM game GROUP BY Away_team ORDER BY COUNT(Away_team)
nvbench
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- count the number of patients whose diagnoses short title is impair ren funct dis nec and drug type is main?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Impair ren funct dis NEC" AND prescriptions.drug_type = "MAIN"
mimicsql_data
CREATE TABLE table_56364 ( "Class" text, "Ships in class" text, "Pennant Number" real, "Unit" text, "Builder" text, "Commissioned" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the highest pennant number with ships in pori class?
SELECT MAX("Pennant Number") FROM table_56364 WHERE "Ships in class" = 'pori'
wikisql
CREATE TABLE table_43892 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Ground" text, "Date" text, "Time" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is Time, when Ground is Waverley Park, and when Away Team is Footscray?
SELECT "Time" FROM table_43892 WHERE "Ground" = 'waverley park' AND "Away team" = 'footscray'
wikisql
CREATE TABLE table_46290 ( "Rider" text, "Manufacturer" text, "Laps" real, "Time" text, "Grid" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the total of laps with grid of 2
SELECT SUM("Laps") FROM table_46290 WHERE "Grid" = '2'
wikisql
CREATE TABLE table_name_8 ( format VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What format is dated October 29, 2004?
SELECT format FROM table_name_8 WHERE date = "october 29, 2004"
sql_create_context
CREATE TABLE table_name_84 ( result VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the Result on 11/02/1946?
SELECT result FROM table_name_84 WHERE date = "11/02/1946"
sql_create_context
CREATE TABLE schedule ( Cinema_ID int, Film_ID int, Date text, Show_times_per_day int, Price float ) CREATE TABLE film ( Film_ID int, Rank_in_series int, Number_in_season int, Title text, Directed_by text, Original_air_date text, Production_code text ) CREATE TABLE cinema ( Cinema_ID int, Name text, Openning_year int, Capacity int, Location text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For each film, show the price and group them by cinema name in a stacked bar chart, sort x axis from low to high order.
SELECT Name, Price FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID JOIN cinema AS T3 ON T1.Cinema_ID = T3.Cinema_ID GROUP BY Title, Name ORDER BY Name
nvbench
CREATE TABLE table_name_97 ( staffel_b VARCHAR, staffel_c VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Staffel B that has Hallescher Fc Chemie as Staffel C?
SELECT staffel_b FROM table_name_97 WHERE staffel_c = "hallescher fc chemie"
sql_create_context
CREATE TABLE table_74322 ( "No. in series" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text, "U.S. viewers (million)" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many directors got 6.79 million U.S. viewers from their episodes?
SELECT COUNT("Directed by") FROM table_74322 WHERE "U.S. viewers (million)" = '6.79'
wikisql
CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) 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 PostTypes ( 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 ReviewTaskStates ( 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 PostHistoryTypes ( Id number, Name text ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange 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 PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE FlagTypes ( 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 Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId 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 Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Tags coming most likely with your tag together.
SELECT MIN(DTags.TagName) AS TagName, COUNT(*) AS Count FROM Tags AS STags, PostTags AS S, PostTags AS D, Tags AS DTags WHERE LOWER(STags.TagName) = LOWER('##TagName:string##') AND S.TagId = STags.Id AND S.PostId = D.PostId AND DTags.Id = D.TagId AND DTags.Id != S.TagId GROUP BY DTags.Id ORDER BY Count DESC, DTags.Id LIMIT 100
sede
CREATE TABLE table_34632 ( "Spacecraft" text, "Destination" text, "Launched" text, "Closest approach" text, "Time elapsed" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- With a Launched of 3 July 1998 what is the Closest approach?
SELECT "Closest approach" FROM table_34632 WHERE "Launched" = '3 july 1998'
wikisql
CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE 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 regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about commission_pct over the last_name , list by the X-axis in desc.
SELECT LAST_NAME, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME DESC
nvbench
CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what flights does DL have from DALLAS to DENVER after 500 o'clock
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.departure_time > 500 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'DL'
atis
CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) 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 VoteTypes ( Id number, Name text ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE 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 FlagTypes ( Id number, Name text, Description text ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount 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 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 ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE PostHistoryTypes ( 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 Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- SFMC related questions with answers.
SELECT P.Id AS "post_link", P.PostTypeId, P.Title, P.Body, P.Tags, P.AnswerCount, P.CommentCount, C.Text, C.Score, C.Id, P.CreationDate, P.Score, P.ViewCount, P.OwnerUserId, P.LastEditDate, P.LastActivityDate FROM Posts AS P INNER JOIN Comments AS C ON P.Id = C.PostId WHERE P.PostTypeId = 1 AND (P.Tags LIKE '%##tag1##%' OR P.Tags LIKE '%##tag2##%' OR P.Tags LIKE '%##tag3##%' OR P.Tags LIKE '%##tag4##%' OR P.Tags LIKE '%##tag5##%' OR P.Tags LIKE '##tag6##') ORDER BY P.CreationDate DESC
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 prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- get the number of patients with drug code teraz5 who had urine lab test.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "TERAZ5" AND lab.fluid = "Urine"
mimicsql_data
CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text ) CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE zyjzjlb_jybgb ( YLJGDM_ZYJZJLB text, BGDH number, YLJGDM number ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 了解一下29461728这个病人的上臂各项指标检验的结果
SELECT * FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE hz_info.RYBH = '29461728' AND jybgb.BBCJBW = '上臂' UNION SELECT * FROM hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb JOIN zyjzjlb_jybgb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = zyjzjlb_jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND zyjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND zyjzjlb_jybgb.BGDH = jybgb.BGDH AND zyjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND zyjzjlb_jybgb.BGDH = jybgb.BGDH WHERE hz_info.RYBH = '29461728' AND jybgb.BBCJBW = '上臂'
css
CREATE TABLE news_report ( journalist_ID int, Event_ID int, Work_Type text ) CREATE TABLE event ( Event_ID int, Date text, Venue text, Name text, Event_Attendance int ) CREATE TABLE journalist ( journalist_ID int, Name text, Nationality text, Age text, Years_working int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Compare the total number of journalist with different nationality using a bar chart.
SELECT Nationality, COUNT(Nationality) FROM journalist GROUP BY Nationality
nvbench
CREATE TABLE table_71491 ( "Name" text, "Years" text, "Gender" text, "Area" text, "Authority" text, "Decile" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What authority is the coed school in pinehaven?
SELECT "Authority" FROM table_71491 WHERE "Gender" = 'coed' AND "Area" = 'pinehaven'
wikisql
CREATE TABLE table_14346 ( "Round" real, "Race Title" text, "Grand Prix" text, "Circuit" text, "Date" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which date has a Race Title of dhl turkish grand prix?
SELECT "Date" FROM table_14346 WHERE "Race Title" = 'dhl turkish grand prix'
wikisql
CREATE TABLE student ( stuid number, lname text, fname text, age number, sex text, major number, advisor number, city_code text ) CREATE TABLE voting_record ( stuid number, registration_date text, election_cycle text, president_vote number, vice_president_vote number, secretary_vote number, treasurer_vote number, class_president_vote number, class_senator_vote number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Show the advisors of the students whose city of residence has city code 'BAL'.
SELECT advisor FROM student WHERE city_code = "BAL"
spider
CREATE TABLE table_24861 ( "No. in series" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the original air date for the production code of 1.12?
SELECT "Original air date" FROM table_24861 WHERE "Production code" = '1.12'
wikisql
CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE 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 PostTypes ( Id number, Name text ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) 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 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 ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId 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 Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) 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 ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE PostTags ( PostId number, TagId number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Well-Received Question Rank by User.
WITH RankedUsers AS (SELECT RANK() OVER (ORDER BY COUNT(*) DESC) AS Rank, p.OwnerUserId AS UserId, COUNT(*) AS QuestionCount FROM Posts AS p WHERE PostTypeId = 1 AND p.Score > 0 GROUP BY p.OwnerUserId) SELECT Rank, UserID AS "user_link", QuestionCount FROM RankedUsers WHERE Rank < 100 OR UserID = '##UserId##' ORDER BY Rank
sede
CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Top Users by Bounty Points.
SELECT Posts.OwnerUserId AS "user_link", COUNT(*) AS BountiesWon, SUM(Votes.BountyAmount) AS Booty FROM Votes INNER JOIN Posts ON Votes.PostId = Posts.Id WHERE VoteTypeId = 9 GROUP BY Posts.OwnerUserId ORDER BY Booty DESC LIMIT 300
sede
CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE course_prerequisite ( pre_course_id int, course_id int ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar ) CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar ) CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE student ( student_id int, lastname varchar, firstname varchar, program_id int, declare_major varchar, total_credit int, total_gpa float, entered_as varchar, admit_term int, predicted_graduation_semester int, degree varchar, minor varchar, internship varchar ) CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_projects varchar, has_exams varchar, num_reviews int, clarity_score int, easiness_score int, helpfulness_score int ) CREATE TABLE gsi ( course_offering_id int, student_id int ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments int, respected int, participation int, heavy_reading int, tough_grader int, hilarious int, would_take_again int, good_lecture int, no_skip int ) CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Next semester when is 430 offered ?
SELECT DISTINCT course_offering.end_time, course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.start_time, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 430 AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016
advising
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 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 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 patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- tell me the intake method for diphenhydramine?
SELECT DISTINCT medication.routeadmin FROM medication WHERE medication.drugname = 'diphenhydramine'
eicu
CREATE TABLE zyjzjlb ( YLJGDM text, JZLSH text, MZJZLSH text, KH text, KLX number, HZXM text, WDBZ number, RYDJSJ time, RYTJDM number, RYTJMC text, JZKSDM text, JZKSMC text, RZBQDM text, RZBQMC text, RYCWH text, CYKSDM text, CYKSMC text, CYBQDM text, CYBQMC text, CYCWH text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text, MZBMLX number, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYSJ time, CYSJ time, CYZTDM number ) CREATE TABLE jyjgzbb ( JYZBLSH text, YLJGDM text, BGDH text, BGRQ time, JYRQ time, JCRGH text, JCRXM text, SHRGH text, SHRXM text, JCXMMC text, JCZBDM text, JCFF text, JCZBMC text, JCZBJGDX text, JCZBJGDL number, JCZBJGDW text, SBBM text, YQBH text, YQMC text, CKZFWDX text, CKZFWXX number, CKZFWSX number, JLDW text ) CREATE TABLE 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 mzjzjlb ( YLJGDM text, JZLSH text, KH text, KLX number, MJZH text, HZXM text, NLS number, NLY number, ZSEBZ number, JZZTDM number, JZZTMC text, JZJSSJ time, TXBZ number, ZZBZ number, WDBZ number, JZKSBM text, JZKSMC text, JZKSRQ time, ZZYSGH text, QTJZYSGH text, JZZDBM text, JZZDSM text, MZZYZDZZBM text, MZZYZDZZMC text, SG number, TZ number, TW number, SSY number, SZY number, XL number, HXPLC number, ML number, JLSJ time ) CREATE TABLE jybgb ( YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text, BGDH text, BGRQ time, JYLX number, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SQRGH text, SQRXM text, BGRGH text, BGRXM text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, JYKSBM text, JYKSMC text, BGJGDM text, BGJGMC text, SQRQ time, CJRQ time, JYRQ time, BGSJ time, BBDM text, BBMC text, JYBBH text, BBZT number, BBCJBW text, JSBBSJ time, JYXMMC text, JYXMDM text, JYSQJGMC text, JYJGMC text, JSBBRQSJ time, JYJSQM text, JYJSGH text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 检测指标名称与检测指标结果定量单位和检验指标记录65019471454相同,且满足检测指标结果定量大于其的检验指标记录有哪些
SELECT * FROM jyjgzbb WHERE JCZBMC = (SELECT JCZBMC FROM jyjgzbb WHERE JYZBLSH = '65019471454') AND JCZBJGDW = (SELECT JCZBJGDW FROM jyjgzbb WHERE JYZBLSH = '65019471454') AND JCZBJGDL > (SELECT JCZBJGDL FROM jyjgzbb WHERE JYZBLSH = '65019471454')
css
CREATE TABLE college ( cname text, state text, enr number ) CREATE TABLE player ( pid number, pname text, ycard text, hs number ) CREATE TABLE tryout ( pid number, cname text, ppos text, decision text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the names of the colleges that are larger than at least one college in Florida?
SELECT DISTINCT cname FROM college WHERE enr > (SELECT MIN(enr) FROM college WHERE state = 'FL')
spider
CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE 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 vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the daily maximum value of phosphate in patient 013-11660 since 164 months ago?
SELECT MAX(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-11660')) AND lab.labname = 'phosphate' AND DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-164 month') GROUP BY STRFTIME('%y-%m-%d', lab.labresulttime)
eicu
CREATE TABLE table_204_195 ( id number, "team" text, "home city" text, "stadium" text, "capacity" number, "last season" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- which stadium holds more people , yeshurun or holon city .
SELECT "stadium" FROM table_204_195 WHERE "stadium" IN ('yeshurun', 'holon city arena') ORDER BY "capacity" DESC LIMIT 1
squall
CREATE TABLE table_27700375_8 ( game VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many games were held on January 5?
SELECT COUNT(game) FROM table_27700375_8 WHERE date = "January 5"
sql_create_context
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 employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For all employees who have the letters D or S in their first name, draw a bar chart about the distribution of hire_date and the sum of salary bin hire_date by time, could you sort from high to low by the Y please?
SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(SALARY) DESC
nvbench
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 SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) 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 PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId 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 PostHistoryTypes ( 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 PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId 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 FlagTypes ( Id number, Name text, Description text ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Comments by a user containing a certain word.
SELECT PostId AS "post_link", CreationDate, Text FROM Comments WHERE UserId = '##UserId:int##' AND Text COLLATE SQL_Latin1_General_CP1_CI_AS LIKE '%' + '##query:string##' + '%' ORDER BY CreationDate
sede
CREATE TABLE t_kc24 ( MED_SAFE_PAY_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, REF_SLT_FLG number, CLINIC_SLT_DATE time, COMP_ID text, PERSON_ID text, FLX_MED_ORG_ID text, INSU_TYPE text, MED_AMOUT number, PER_ACC_PAY number, OVE_PAY number, ILL_PAY number, CIVIL_SUBSIDY number, PER_SOL number, PER_EXP number, DATA_ID text, SYNC_TIME time, OUT_HOSP_DATE time, CLINIC_ID text, MED_TYPE number, INSURED_STS text, INSURED_IDENTITY number, TRADE_TYPE number, RECIPE_BILL_ID text, ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, RECEIVER_DEAL_ID text, SENDER_REVOKE_ID text, RECEIVER_REVOKE_ID text, SENDER_OFFSET_ID text, RECEIVER_OFFSET_ID text, LAS_OVE_PAY number, OVE_ADD_PAY number, SUP_ADD_PAY number, CKC102 number, CASH_PAY number, COM_ACC_PAY number, ENT_ACC_PAY number, ENT_PAY number, COM_PAY number, OLDC_FUND_PAY number, SPE_FUND_PAY number ) CREATE TABLE t_kc22 ( MED_EXP_DET_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, MED_EXP_BILL_ID text, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, DIRE_TYPE number, CHA_ITEM_LEV number, MED_INV_ITEM_TYPE text, MED_DIRE_CD text, MED_DIRE_NM text, VAL_UNIT text, DOSE_UNIT text, DOSE_FORM text, SPEC text, USE_FRE text, EACH_DOSAGE text, QTY number, UNIVALENT number, AMOUNT number, SELF_PAY_PRO number, RER_SOL number, SELF_PAY_AMO number, UP_LIMIT_AMO number, OVE_SELF_AMO number, EXP_OCC_DATE time, RECIPE_BILL_ID text, FLX_MED_ORG_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, HOSP_DOC_CD text, HOSP_DOC_NM text, REF_STA_FLG number, DATA_ID text, SYNC_TIME time, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, TRADE_TYPE number, STA_FLG number, STA_DATE time, REIMBURS_TYPE number, FXBZ number, REMOTE_SETTLE_FLG text ) CREATE TABLE t_kc21 ( MED_CLINIC_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, COMP_ID text, PERSON_ID text, PERSON_NM text, IDENTITY_CARD text, SOC_SRT_CARD text, PERSON_SEX number, PERSON_AGE number, IN_HOSP_DATE time, OUT_HOSP_DATE time, DIFF_PLACE_FLG number, FLX_MED_ORG_ID text, MED_SER_ORG_NO text, CLINIC_TYPE text, MED_TYPE number, CLINIC_ID text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, INPT_AREA_BED text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, MAIN_COND_DES text, INSU_TYPE text, IN_HOSP_DAYS number, MED_AMOUT number, FERTILITY_STS number, DATA_ID text, SYNC_TIME time, REIMBURSEMENT_FLG number, HOSP_LEV number, HOSP_STS number, INSURED_IDENTITY number, SERVANT_FLG text, TRADE_TYPE number, INSURED_STS text, REMOTE_SETTLE_FLG text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 医疗机构5083520从一一年六月六日开始,截止到二零年四月二十一日,出现疾病诊断结果出院与入院不相同的结果有多少次
SELECT COUNT(*) FROM t_kc21 WHERE MED_SER_ORG_NO = '5083520' AND IN_HOSP_DATE BETWEEN '2011-06-06' AND '2020-04-21' AND IN_DIAG_DIS_CD <> OUT_DIAG_DIS_CD
css
CREATE TABLE table_17104539_12 ( score VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the scores for games played on september 9?
SELECT score FROM table_17104539_12 WHERE date = "September 9"
sql_create_context
CREATE TABLE Course_Authors_and_Tutors ( author_id INTEGER, author_tutor_ATB VARCHAR(3), login_name VARCHAR(40), password VARCHAR(40), personal_name VARCHAR(80), middle_name VARCHAR(80), family_name VARCHAR(80), gender_mf VARCHAR(1), address_line_1 VARCHAR(80) ) CREATE TABLE Student_Tests_Taken ( registration_id INTEGER, date_test_taken DATETIME, test_result VARCHAR(255) ) CREATE TABLE Student_Course_Enrolment ( registration_id INTEGER, student_id INTEGER, course_id INTEGER, date_of_enrolment DATETIME, date_of_completion DATETIME ) CREATE TABLE Subjects ( subject_id INTEGER, subject_name VARCHAR(120) ) CREATE TABLE Students ( student_id INTEGER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR(40), password VARCHAR(10), personal_name VARCHAR(40), middle_name VARCHAR(40), family_name VARCHAR(40) ) CREATE TABLE Courses ( course_id INTEGER, author_id INTEGER, subject_id INTEGER, course_name VARCHAR(120), course_description VARCHAR(255) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Draw a bar chart about the distribution of middle_name and gender_mf .
SELECT middle_name, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name
nvbench
CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_CLINIC_ID text, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc22 ( AMOUNT number, CHA_ITEM_LEV number, DATA_ID text, DIRE_TYPE number, DOSE_FORM text, DOSE_UNIT text, EACH_DOSAGE text, EXP_OCC_DATE time, FLX_MED_ORG_ID text, FXBZ number, HOSP_DOC_CD text, HOSP_DOC_NM text, MED_DIRE_CD text, MED_DIRE_NM text, MED_EXP_BILL_ID text, MED_EXP_DET_ID text, MED_INV_ITEM_TYPE text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_SELF_AMO number, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, QTY number, RECIPE_BILL_ID text, REF_STA_FLG number, REIMBURS_TYPE number, REMOTE_SETTLE_FLG text, RER_SOL number, SELF_PAY_AMO number, SELF_PAY_PRO number, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, SPEC text, STA_DATE time, STA_FLG number, SYNC_TIME time, TRADE_TYPE number, UNIVALENT number, UP_LIMIT_AMO number, USE_FRE text, VAL_UNIT text ) CREATE TABLE t_kc21 ( CLINIC_ID text, CLINIC_TYPE text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc21_t_kc22 ( MED_CLINIC_ID text, MED_EXP_DET_ID number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 列出给尤修远这个病人开拉莫三嗪片的几家医院
SELECT t_kc21.MED_SER_ORG_NO FROM t_kc21 WHERE t_kc21.PERSON_NM = '尤修远' AND t_kc21.MED_CLINIC_ID IN (SELECT t_kc21_t_kc22.MED_CLINIC_ID FROM t_kc22 WHERE t_kc22.SOC_SRT_DIRE_NM = '拉莫三嗪片')
css
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 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 transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time ) CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value 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 d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the difference between patient 30044's total number of inputs and outputs until 86 days ago?
SELECT (SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30044)) AND DATETIME(inputevents_cv.charttime) <= DATETIME(CURRENT_TIME(), '-86 day')) - (SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30044)) AND DATETIME(outputevents.charttime) <= DATETIME(CURRENT_TIME(), '-86 day'))
mimic_iii
CREATE TABLE table_13456202_1 ( location VARCHAR, mascot VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the locations with an eagles macot?
SELECT location FROM table_13456202_1 WHERE mascot = "Eagles"
sql_create_context
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 patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title 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 cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE 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_labitems ( row_id number, itemid number, label text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- does a microbiological test have been performed for patient 10539 until 2103?
SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10539) AND STRFTIME('%y', microbiologyevents.charttime) <= '2103'
mimic_iii
CREATE TABLE table_39960 ( "Country" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which Gold has a Total of 2998, and a Bronze smaller than 1191?
SELECT AVG("Gold") FROM table_39960 WHERE "Total" = '2998' AND "Bronze" < '1191'
wikisql
CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what was the last time on this month/31 patient 035-24054 had a maximum systemicsystolic?
SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-24054')) AND NOT vitalperiodic.systemicsystolic IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', vitalperiodic.observationtime) = '31' ORDER BY vitalperiodic.systemicsystolic DESC, vitalperiodic.observationtime DESC LIMIT 1
eicu
CREATE TABLE hz_info ( KH text, KLX number, YLJGDM text, RYBH text ) CREATE TABLE jyjgzbb ( JYZBLSH text, YLJGDM text, BGDH text, BGRQ time, JYRQ time, JCRGH text, JCRXM text, SHRGH text, SHRXM text, JCXMMC text, JCZBDM text, JCFF text, JCZBMC text, JCZBJGDX text, JCZBJGDL number, JCZBJGDW text, SBBM text, YQBH text, YQMC text, CKZFWDX text, CKZFWXX number, CKZFWSX number, JLDW text ) CREATE TABLE person_info ( RYBH text, XBDM number, XBMC text, XM text, CSRQ time, CSD text, MZDM text, MZMC text, GJDM text, GJMC text, JGDM text, JGMC text, XLDM text, XLMC text, ZYLBDM text, ZYMC text ) CREATE TABLE mzjzjlb ( YLJGDM text, JZLSH text, KH text, KLX number, MJZH text, HZXM text, NLS number, NLY number, ZSEBZ number, JZZTDM number, JZZTMC text, JZJSSJ time, TXBZ number, ZZBZ number, WDBZ number, JZKSBM text, JZKSMC text, JZKSRQ time, ZZYSGH text, QTJZYSGH text, JZZDBM text, JZZDSM text, MZZYZDZZBM text, MZZYZDZZMC text, SG number, TZ number, TW number, SSY number, SZY number, XL number, HXPLC number, ML number, JLSJ time ) CREATE TABLE zyjzjlb ( YLJGDM text, JZLSH text, MZJZLSH text, KH text, KLX number, HZXM text, WDBZ number, RYDJSJ time, RYTJDM number, RYTJMC text, JZKSDM text, JZKSMC text, RZBQDM text, RZBQMC text, RYCWH text, CYKSDM text, CYKSMC text, CYBQDM text, CYBQMC text, CYCWH text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text, MZBMLX number, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYSJ time, CYSJ time, CYZTDM number ) CREATE TABLE jybgb ( YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text, BGDH text, BGRQ time, JYLX number, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SQRGH text, SQRXM text, BGRGH text, BGRXM text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, JYKSBM text, JYKSMC text, BGJGDM text, BGJGMC text, SQRQ time, CJRQ time, JYRQ time, BGSJ time, BBDM text, BBMC text, JYBBH text, BBZT number, BBCJBW text, JSBBSJ time, JYXMMC text, JYXMDM text, JYSQJGMC text, JYJGMC text, JSBBRQSJ time, JYJSQM text, JYJSGH text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 患者编号是52382275之前在哪个医疗机构就诊啊?
(SELECT mzjzjlb.YLJGDM FROM hz_info JOIN mzjzjlb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE hz_info.RYBH = '52382275') UNION (SELECT zyjzjlb.YLJGDM FROM hz_info JOIN zyjzjlb ON hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX WHERE hz_info.RYBH = '52382275')
css
CREATE TABLE table_name_61 ( lost VARCHAR, highest_ranking VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the total number of Lost for the Highest Ranking of ?
SELECT COUNT(lost) FROM table_name_61 WHERE highest_ranking = "– –"
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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For those records from the products and each product's manufacturer, what is the relationship between code and manufacturer ?
SELECT T1.Code, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code
nvbench
CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text ) CREATE TABLE 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 cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost 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_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what are the five most commonly ordered procedures for patients who previously received insert gastric tube nec during the same month since 4 years ago?
SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'insert gastric tube nec') AND DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.icd9_code, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 5)
mimic_iii
CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many hours has it been since patient 027-85328 first received the procedure in their current hospital encounter?
SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', treatment.treatmenttime)) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-85328' AND patient.hospitaldischargetime IS NULL)) ORDER BY treatment.treatmenttime LIMIT 1
eicu
CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) CREATE TABLE hz_info_mzjzjlb ( JZLSH number, YLJGDM number, mzjzjlb_id number ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE 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, ZSEBZ number, ZZBZ number, ZZYSGH text, mzjzjlb_id number ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 姜君昊这个患者身高达到多少厘米了,体重达到多少公斤了
SELECT mzjzjlb.SG, mzjzjlb.TZ FROM person_info JOIN hz_info JOIN mzjzjlb JOIN hz_info_mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.mzjzjlb_id = mzjzjlb.mzjzjlb_id WHERE person_info.XM = '姜君昊'
css
CREATE TABLE table_name_89 ( tamil VARCHAR, hindi VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- WHAT IS THE TAMIL WITH A SUKRAVAR ?
SELECT tamil FROM table_name_89 WHERE hindi = "sukravar"
sql_create_context
CREATE TABLE table_name_45 ( score VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Score on October 7, 2000?
SELECT score FROM table_name_45 WHERE date = "october 7, 2000"
sql_create_context
CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the job_id , and rank by the X-axis in asc.
SELECT JOB_ID, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY JOB_ID
nvbench
CREATE TABLE table_57883 ( "Player" text, "Height" text, "School" text, "Hometown" text, "College" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the player that is from seattle prep?
SELECT "Player" FROM table_57883 WHERE "School" = 'seattle prep'
wikisql
CREATE TABLE table_name_26 ( republican VARCHAR, district VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which Republican has a District of 10?
SELECT republican FROM table_name_26 WHERE district = 10
sql_create_context
CREATE TABLE actor ( aid 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 written_by ( id int, msid int, wid int ) CREATE TABLE producer ( pid int, gender text, name text, nationality text, birth_city text, birth_year int ) 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 cast ( id int, msid int, aid int, role text ) CREATE TABLE classification ( id int, msid int, gid int ) CREATE TABLE tags ( id int, msid int, kid int ) CREATE TABLE company ( id int, name text, country_code varchar ) CREATE TABLE directed_by ( id int, msid int, did int ) CREATE TABLE genre ( gid int, genre text ) CREATE TABLE writer ( wid int, gender text, name text, nationality text, birth_city text, birth_year int ) CREATE TABLE keyword ( id int, keyword text ) CREATE TABLE copyright ( id int, msid int, cid int ) CREATE TABLE director ( did int, gender text, name text, nationality text, birth_city text, birth_year int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- List all the Sci-Fi movies which released in 2010
SELECT movie.title FROM classification, genre, movie WHERE genre.genre = 'Sci-Fi' AND genre.gid = classification.gid AND movie.mid = classification.msid AND movie.release_year = 2010
imdb
CREATE TABLE table_203_67 ( id number, "place" number, "team" text, "played" number, "won" number, "draw" number, "lost" number, "goals\nscored" number, "goals\nconceded" number, "+/-" number, "points" number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- which team scored the most points ?
SELECT "team" FROM table_203_67 ORDER BY "points" DESC LIMIT 1
squall
CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE 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 inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount 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 outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE 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 procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- provide me with the top five most common intake in 2103?
SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT inputevents_cv.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM inputevents_cv WHERE STRFTIME('%y', inputevents_cv.charttime) = '2103' GROUP BY inputevents_cv.itemid) AS t1 WHERE t1.c1 <= 5)
mimic_iii
CREATE TABLE table_name_64 ( laps INTEGER, driver VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which is least lap is mika salo in?
SELECT MIN(laps) FROM table_name_64 WHERE driver = "mika salo"
sql_create_context
CREATE TABLE table_34563 ( "Rank" real, "Name" text, "Nationality" text, "1st (m)" real, "2nd (m)" real, "Points" real, "Overall FHT points" text, "Overall WC points (Rank)" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How much Rank has a Name of simon ammann, and a 2nd (m) larger than 139?
SELECT COUNT("Rank") FROM table_34563 WHERE "Name" = 'simon ammann' AND "2nd (m)" > '139'
wikisql
CREATE TABLE Student_Addresses ( student_id INTEGER, address_id INTEGER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental DECIMAL(19,4), other_details VARCHAR(255) ) CREATE TABLE Behavior_Incident ( incident_id INTEGER, incident_type_code VARCHAR(10), student_id INTEGER, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR(255), recommendations VARCHAR(255), other_details VARCHAR(255) ) CREATE TABLE Students_in_Detention ( student_id INTEGER, detention_id INTEGER, incident_id INTEGER ) CREATE TABLE Ref_Incident_Type ( incident_type_code VARCHAR(10), incident_type_description VARCHAR(80) ) CREATE TABLE Addresses ( address_id INTEGER, line_1 VARCHAR(120), line_2 VARCHAR(120), line_3 VARCHAR(120), city VARCHAR(80), zip_postcode VARCHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), other_address_details VARCHAR(255) ) CREATE TABLE Ref_Address_Types ( address_type_code VARCHAR(15), address_type_description VARCHAR(80) ) CREATE TABLE Assessment_Notes ( notes_id INTEGER, student_id INTEGER, teacher_id INTEGER, date_of_notes DATETIME, text_of_notes VARCHAR(255), other_details VARCHAR(255) ) CREATE TABLE Teachers ( teacher_id INTEGER, address_id INTEGER, first_name VARCHAR(80), middle_name VARCHAR(80), last_name VARCHAR(80), gender VARCHAR(1), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), other_details VARCHAR(255) ) CREATE TABLE Detention ( detention_id INTEGER, detention_type_code VARCHAR(10), teacher_id INTEGER, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR(255), other_details VARCHAR(255) ) CREATE TABLE Students ( student_id INTEGER, address_id INTEGER, first_name VARCHAR(80), middle_name VARCHAR(40), last_name VARCHAR(40), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR(255) ) CREATE TABLE Ref_Detention_Type ( detention_type_code VARCHAR(10), detention_type_description VARCHAR(80) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- A bar chart for finding the number of the dates of assessment notes for students with first name 'Fanny', sort by the total number in desc please.
SELECT date_of_notes, COUNT(date_of_notes) FROM Assessment_Notes AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id WHERE T2.first_name = "Fanny" ORDER BY COUNT(date_of_notes) DESC
nvbench
CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the prochlorperazine maleate 10 mg po tabs price?
SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'medication' AND cost.eventid IN (SELECT medication.medicationid FROM medication WHERE medication.drugname = 'prochlorperazine maleate 10 mg po tabs')
eicu
CREATE TABLE table_203_657 ( id number, "call sign" text, "frequency" text, "city of license" text, "licensee" text, "format" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many stations have the same format as the station klfv ?
SELECT COUNT(*) FROM table_203_657 WHERE "call sign" <> 'klfv' AND "format" = (SELECT "format" FROM table_203_657 WHERE "call sign" = 'klfv')
squall
CREATE TABLE table_72321 ( "Episode title" text, "Air date" text, "Reward" text, "Immunity" text, "Eliminated" text, "Vote" text, "Finish" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the vote tally on the episode aired May 5, 2005?
SELECT "Vote" FROM table_72321 WHERE "Air date" = 'May 5, 2005'
wikisql
CREATE TABLE person_info_hz_info ( RYBH text, KH number, KLX number, YLJGDM number ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) 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, YLJGDM text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 在医院2269328中,患者61020155的门诊诊断名里没有病理性的门诊就诊记录有哪些
SELECT * FROM hz_info JOIN mzjzjlb JOIN person_info_hz_info JOIN person_info ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.RYBH = person_info.RYBH WHERE person_info.RYBH = '61020155' AND hz_info.YLJGDM = '2269328' AND NOT mzjzjlb.JZZDSM LIKE '%病理性%'
css
CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE 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 cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime 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 outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- tell me the total amount of ultrafiltrate ultrafiltrate that patient 25523 produced on 06/06/2104?
SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25523)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'ultrafiltrate ultrafiltrate' AND d_items.linksto = 'outputevents') AND STRFTIME('%y-%m-%d', outputevents.charttime) = '2104-06-06'
mimic_iii
CREATE TABLE table_name_53 ( team_sites VARCHAR, public VARCHAR, developer VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the team sites entry that has a public entry of No and a developer entry of Yes?
SELECT team_sites FROM table_name_53 WHERE public = "no" AND developer = "yes"
sql_create_context
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 departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about department_id over the email , and rank x-axis in asc order.
SELECT EMAIL, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMAIL
nvbench
CREATE TABLE table_name_62 ( away_team VARCHAR, tie_no VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which away team has a tie number of 14?
SELECT away_team FROM table_name_62 WHERE tie_no = "14"
sql_create_context
CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) 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 cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number ) CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- has there been any microbiological test performed on patient 28443's urine since 10/2104?
SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28443) AND microbiologyevents.spec_type_desc = 'urine' AND STRFTIME('%y-%m', microbiologyevents.charttime) >= '2104-10'
mimic_iii
CREATE TABLE track ( Track_ID int, Name text, Location text, Seating real, Year_Opened real ) CREATE TABLE race ( Race_ID int, Name text, Class text, Date text, Track_ID text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Draw a bar chart for what are the different classes of races, and how many races correspond to each?, sort from high to low by the names please.
SELECT Class, COUNT(*) FROM race GROUP BY Class ORDER BY Class DESC
nvbench
CREATE TABLE table_5303 ( "Date" text, "Opponent" text, "Score" text, "Loss" text, "Attendance" real, "Record" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many people attended the game on May 31?
SELECT SUM("Attendance") FROM table_5303 WHERE "Date" = 'may 31'
wikisql
CREATE TABLE table_13713206_1 ( club__city_town_ VARCHAR, w_l_d VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- On what position number is the club with a w-l-d of 5-7-4?
SELECT COUNT(club__city_town_) FROM table_13713206_1 WHERE w_l_d = "5-7-4"
sql_create_context
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- tell me the short title of procedure for procedure icd9 code 4341.
SELECT procedures.short_title FROM procedures WHERE procedures.icd9_code = "4341"
mimicsql_data
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- provide the number of patients whose admission year is less than 2111 and lab test fluid is other body fluid?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2111" AND lab.fluid = "Other Body Fluid"
mimicsql_data
CREATE TABLE table_12698 ( "Res." text, "Record" text, "Opponent" text, "Method" text, "Event" text, "Round" real, "Time" text, "Location" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is Res., when Time is '1:09'?
SELECT "Res." FROM table_12698 WHERE "Time" = '1:09'
wikisql
CREATE TABLE table_name_95 ( entrant VARCHAR, points VARCHAR, chassis VARCHAR, engine VARCHAR, year VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What kind of Entrant has a Maserati Straight-6 Engine, built in the year 1958 or early, and has a Maserati 250f Chassis with points less than 4?
SELECT entrant FROM table_name_95 WHERE engine = "maserati straight-6" AND year < 1958 AND chassis = "maserati 250f" AND points < 4
sql_create_context