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CREATE TABLE table_name_48 ( heat INTEGER, time VARCHAR, nationality VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the highest heat with a time slower than 48.87 from sweden?
SELECT MAX(heat) FROM table_name_48 WHERE time > 48.87 AND nationality = "sweden"
sql_create_context
CREATE TABLE table_name_26 ( country VARCHAR, score VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is Country, when Score is 71-71-69=211?
SELECT country FROM table_name_26 WHERE score = 71 - 71 - 69 = 211
sql_create_context
CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE 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 microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE 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 allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what has been the total amount of input patient 006-200601 received on 09/20/2104?
SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-200601')) AND intakeoutput.cellpath LIKE '%intake%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) = '2104-09-20'
eicu
CREATE TABLE table_1198175_1 ( name VARCHAR, born VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the name when born is december 30, 1957 detroit, mi?
SELECT name FROM table_1198175_1 WHERE born = "December 30, 1957 Detroit, MI"
sql_create_context
CREATE TABLE table_203_646 ( id number, "year" number, "competition" text, "venue" text, "position" text, "notes" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- where was the last competition held according to this chart ?
SELECT "venue" FROM table_203_646 ORDER BY "year" DESC LIMIT 1
squall
CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many hematological effect of infection - leukocytosis patients since 2104 were diagnosed during the same hospital encounter after being diagnosed with s/p thoracotomy - lung reduction surgery?
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hematological effect of infection - leukocytosis' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2104') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 's/p thoracotomy - lung reduction surgery' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2104') AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid
eicu
CREATE TABLE table_53782 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How low was the attendance at the game that ended with a home team score of 16.13 (109)?
SELECT MIN("Crowd") FROM table_53782 WHERE "Home team score" = '16.13 (109)'
wikisql
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 offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar ) CREATE TABLE course_prerequisite ( pre_course_id int, course_id int ) CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE ta ( campus_job_id int, student_id int, location 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 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 gsi ( course_offering_id int, student_id int ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Is there a 5 -credit Scandinavian Civilization course ?
SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Scandinavian Civilization%' OR name LIKE '%Scandinavian Civilization%') AND credits = 5
advising
CREATE TABLE table_name_48 ( version VARCHAR, length VARCHAR, remixed_by VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the version shown for the Length of 5:20, and shows Remixed by ?
SELECT version FROM table_name_48 WHERE length = "5:20" AND remixed_by = "—"
sql_create_context
CREATE TABLE table_26621 ( "Reference" text, "Author" text, "Section Size" text, "Violins" real, "Violas" real, "Celli" real, "Basses" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many cellos are suggested in the reference with section size for 20 players?
SELECT "Celli" FROM table_26621 WHERE "Section Size" = '20 players'
wikisql
CREATE TABLE table_72079 ( "Entered office as Head of State or Government" text, "Began time as senior G8 leader" text, "Ended time as senior G8 leader" text, "Person" text, "Office" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- When did the Prime Minister of Italy take office?
SELECT "Entered office as Head of State or Government" FROM table_72079 WHERE "Office" = 'Prime Minister of Italy'
wikisql
CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YQBH text, YQMC text, jyjgzbb_id number ) CREATE TABLE jybgb_jyjgzbb ( JYZBLSH number, YLJGDM text, jyjgzbb_id number ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 沈雅懿患者的检验报告单对应的检验结果指标均异常都是哪些?列出对应的检验报告单号都是啥?
SELECT jybgb.BGDH FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb 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 WHERE person_info.XM = '沈雅懿' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL >= jyjgzbb.CKZFWXX AND jyjgzbb.JCZBJGDL <= jyjgzbb.CKZFWSX) UNION SELECT jybgb.BGDH FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB WHERE person_info.XM = '沈雅懿' AND NOT jybgb.BGDH IN (SELECT jyjgzbb.BGDH FROM jyjgzbb WHERE jyjgzbb.JCZBJGDL >= jyjgzbb.CKZFWXX AND jyjgzbb.JCZBJGDL <= jyjgzbb.CKZFWSX)
css
CREATE TABLE table_name_13 ( venue VARCHAR, home_team VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Where was South Melbourne played?
SELECT venue FROM table_name_13 WHERE home_team = "south melbourne"
sql_create_context
CREATE TABLE table_204_662 ( id number, "week" number, "date" text, "opponent" text, "result" text, "attendance" number, "bye" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the total number of points scored against the opponents for september ?
SELECT SUM("result") FROM table_204_662 WHERE "date" = 9
squall
CREATE TABLE table_name_59 ( to_par VARCHAR, player VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is Justin Leonard's To par?
SELECT to_par FROM table_name_59 WHERE player = "justin leonard"
sql_create_context
CREATE TABLE table_train_104 ( "id" int, "migraines" bool, "depression" bool, "mini_mental_state_examination_mmse" int, "systolic_blood_pressure_sbp" int, "renal_disease" bool, "alzheimer" bool, "estimated_glomerular_filtration_rate_egfr" int, "diastolic_blood_pressure_dbp" int, "clinical_dementia_rating_cdr" float, "NOUSE" float ) -- Using valid SQLite, answer the following questions for the tables provided above. -- sitting blood pressure > 160 / 100 mm hg. physician evaluation
SELECT * FROM table_train_104 WHERE systolic_blood_pressure_sbp >= 160 OR diastolic_blood_pressure_dbp >= 100
criteria2sql
CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL ) CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and the sum of code , and group by attribute name, could you show by the y-axis in descending?
SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Code DESC
nvbench
CREATE TABLE table_name_48 ( venue VARCHAR, competition VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Venue of the 2002 World Cup Qualification?
SELECT venue FROM table_name_48 WHERE competition = "2002 world cup qualification"
sql_create_context
CREATE TABLE table_30813 ( "Series #" 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 episode series number of 'St. Joan'?
SELECT "Series #" FROM table_30813 WHERE "Title" = 'St. Joan'
wikisql
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 fgwyjzb ( 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 number, 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, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE gwyjzb ( 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 number, 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, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc22 ( AMOUNT number, CHA_ITEM_LEV number, DATA_ID text, DIRE_TYPE number, DOSE_FORM text, DOSE_UNIT text, EACH_DOSAGE text, EXP_OCC_DATE time, FLX_MED_ORG_ID text, FXBZ number, HOSP_DOC_CD text, HOSP_DOC_NM text, MED_CLINIC_ID text, MED_DIRE_CD text, MED_DIRE_NM text, MED_EXP_BILL_ID text, MED_EXP_DET_ID text, MED_INV_ITEM_TYPE text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_SELF_AMO number, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, QTY number, RECIPE_BILL_ID text, REF_STA_FLG number, REIMBURS_TYPE number, REMOTE_SETTLE_FLG text, RER_SOL number, SELF_PAY_AMO number, SELF_PAY_PRO number, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, SPEC text, STA_DATE time, STA_FLG number, SYNC_TIME time, TRADE_TYPE number, UNIVALENT number, UP_LIMIT_AMO number, USE_FRE text, VAL_UNIT text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 在2004年6月24日到2014年6月10日这段时间里,编码为6291859的医院所有非异地结算的医疗就诊记录都是哪些?
SELECT * FROM gwyjzb WHERE gwyjzb.MED_SER_ORG_NO = '6291859' AND gwyjzb.IN_HOSP_DATE BETWEEN '2004-06-24' AND '2014-06-10' UNION SELECT * FROM fgwyjzb WHERE fgwyjzb.MED_SER_ORG_NO = '6291859' AND fgwyjzb.IN_HOSP_DATE BETWEEN '2004-06-24' AND '2014-06-10' EXCEPT SELECT * FROM gwyjzb WHERE gwyjzb.MED_SER_ORG_NO = '6291859' AND gwyjzb.IN_HOSP_DATE BETWEEN '2004-06-24' AND '2014-06-10' AND gwyjzb.REMOTE_SETTLE_FLG = '异地1' OR gwyjzb.REMOTE_SETTLE_FLG = '异地2' UNION SELECT * FROM fgwyjzb WHERE fgwyjzb.MED_SER_ORG_NO = '6291859' AND fgwyjzb.IN_HOSP_DATE BETWEEN '2004-06-24' AND '2014-06-10' AND fgwyjzb.REMOTE_SETTLE_FLG = '异地1' OR fgwyjzb.REMOTE_SETTLE_FLG = '异地2'
css
CREATE TABLE table_name_92 ( the_winner VARCHAR, the_presenter VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who won when the presenter was Tatiana Stefanidou?
SELECT the_winner FROM table_name_92 WHERE the_presenter = "tatiana stefanidou"
sql_create_context
CREATE TABLE table_204_707 ( id number, "year" number, "english title" text, "chinese title" text, "director" text, "role" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what was the first film zhao dan starred in ?
SELECT "english title" FROM table_204_707 ORDER BY "year" LIMIT 1
squall
CREATE TABLE program_course ( program_id int, course_id int, workload int, category 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 instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar ) CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE gsi ( course_offering_id int, student_id int ) CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar ) CREATE TABLE area ( course_id int, area 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 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 offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE course_prerequisite ( pre_course_id int, course_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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Do you find that PSYCH 405 is more of a challenge than PSYCH 619 ?
SELECT COUNT(*) > 0 FROM course AS COURSE_0, course AS COURSE_1, program_course AS PROGRAM_COURSE_0, program_course AS PROGRAM_COURSE_1 WHERE COURSE_0.department = 'PSYCH' AND COURSE_0.number = 405 AND COURSE_1.department = 'PSYCH' AND COURSE_1.number = 619 AND PROGRAM_COURSE_0.course_id = COURSE_0.course_id AND PROGRAM_COURSE_0.workload < PROGRAM_COURSE_1.workload AND PROGRAM_COURSE_1.course_id = COURSE_1.course_id
advising
CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId 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 CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE ReviewTaskResultTypes ( 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 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 PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount 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 ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- The top 100 longest posts on the site.
SELECT Posts.Id AS "post_link", PostTypes.Name AS "type", LENGTH(Body) AS Length, OwnerUserId AS "userlink", CreationDate, Score FROM Posts JOIN PostTypes ON PostTypeId = PostTypes.Id ORDER BY Length DESC LIMIT 100
sede
CREATE TABLE dorm ( dormid number, dorm_name text, student_capacity number, gender text ) CREATE TABLE student ( stuid number, lname text, fname text, age number, sex text, major number, advisor number, city_code text ) CREATE TABLE lives_in ( stuid number, dormid number, room_number number ) CREATE TABLE has_amenity ( dormid number, amenid number ) CREATE TABLE dorm_amenity ( amenid number, amenity_name text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many students are from each city, and which cities have more than one cities?
SELECT COUNT(*), city_code FROM student GROUP BY city_code HAVING COUNT(*) > 1
spider
CREATE TABLE table_6520 ( "Nation" text, "Removal treaty (year signed)" text, "Years of major emigration" text, "Total number emigrated or forcibly removed" text, "Number stayed in Southeast" text, "Deaths from warfare" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many of those who stayed in the southeast had 19,600 emigrated or forcibly removed?
SELECT "Number stayed in Southeast" FROM table_6520 WHERE "Total number emigrated or forcibly removed" = '19,600'
wikisql
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, t_kc21_CLINIC_ID text, t_kc21_CLINIC_TYPE text, t_kc21_COMP_ID text, t_kc21_DATA_ID text, t_kc21_DIFF_PLACE_FLG number, t_kc21_FERTILITY_STS number, t_kc21_FLX_MED_ORG_ID text, t_kc21_HOSP_LEV number, t_kc21_HOSP_STS number, t_kc21_IDENTITY_CARD text, t_kc21_INPT_AREA_BED text, t_kc21_INSURED_IDENTITY number, t_kc21_INSURED_STS text, t_kc21_INSU_TYPE text, t_kc21_IN_DIAG_DIS_CD text, t_kc21_IN_DIAG_DIS_NM text, t_kc21_IN_HOSP_DATE time, t_kc21_IN_HOSP_DAYS number, t_kc21_MAIN_COND_DES text, t_kc21_MED_AMOUT number, t_kc21_MED_ORG_DEPT_CD text, t_kc21_MED_ORG_DEPT_NM text, t_kc21_MED_SER_ORG_NO text, t_kc21_MED_TYPE number, t_kc21_OUT_DIAG_DIS_CD text, t_kc21_OUT_DIAG_DIS_NM text, t_kc21_OUT_DIAG_DOC_CD text, t_kc21_OUT_DIAG_DOC_NM text, t_kc21_OUT_HOSP_DATE time, t_kc21_OVERALL_CD_ORG text, t_kc21_OVERALL_CD_PERSON text, t_kc21_PERSON_AGE number, t_kc21_PERSON_ID text, t_kc21_PERSON_NM text, t_kc21_PERSON_SEX number, t_kc21_REIMBURSEMENT_FLG number, t_kc21_REMOTE_SETTLE_FLG text, t_kc21_SERVANT_FLG text, t_kc21_SOC_SRT_CARD text, t_kc21_SYNC_TIME time, t_kc21_TRADE_TYPE number ) CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_CLINIC_ID text, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 施弘益的患者在01年1月9日到2013年11月22日内被开出右佐匹克隆片的总共有几次呢?
SELECT COUNT(*) FROM t_kc22 WHERE t_kc22.t_kc21_PERSON_NM = '施弘益' AND t_kc22.STA_DATE BETWEEN '2001-01-09' AND '2013-11-22' AND t_kc22.SOC_SRT_DIRE_NM = '右佐匹克隆片'
css
CREATE TABLE table_name_67 ( home VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What home has February 10 as the date?
SELECT home FROM table_name_67 WHERE date = "february 10"
sql_create_context
CREATE TABLE company ( Market_Value_in_Billion INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the maximum and minimum market value of companies?
SELECT MAX(Market_Value_in_Billion), MIN(Market_Value_in_Billion) FROM company
sql_create_context
CREATE TABLE t_kc22 ( MED_EXP_DET_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, MED_EXP_BILL_ID text, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, DIRE_TYPE number, CHA_ITEM_LEV number, MED_INV_ITEM_TYPE text, MED_DIRE_CD text, MED_DIRE_NM text, VAL_UNIT text, DOSE_UNIT text, DOSE_FORM text, SPEC text, USE_FRE text, EACH_DOSAGE text, QTY number, UNIVALENT number, AMOUNT number, SELF_PAY_PRO number, RER_SOL number, SELF_PAY_AMO number, UP_LIMIT_AMO number, OVE_SELF_AMO number, EXP_OCC_DATE time, RECIPE_BILL_ID text, FLX_MED_ORG_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, HOSP_DOC_CD text, HOSP_DOC_NM text, REF_STA_FLG number, DATA_ID text, SYNC_TIME time, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, TRADE_TYPE number, STA_FLG number, STA_DATE time, REIMBURS_TYPE number, FXBZ number, REMOTE_SETTLE_FLG text ) CREATE TABLE t_kc24 ( MED_SAFE_PAY_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, REF_SLT_FLG number, CLINIC_SLT_DATE time, COMP_ID text, PERSON_ID text, FLX_MED_ORG_ID text, INSU_TYPE text, MED_AMOUT number, PER_ACC_PAY number, OVE_PAY number, ILL_PAY number, CIVIL_SUBSIDY number, PER_SOL number, PER_EXP number, DATA_ID text, SYNC_TIME time, OUT_HOSP_DATE time, CLINIC_ID text, MED_TYPE number, INSURED_STS text, INSURED_IDENTITY number, TRADE_TYPE number, RECIPE_BILL_ID text, ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, RECEIVER_DEAL_ID text, SENDER_REVOKE_ID text, RECEIVER_REVOKE_ID text, SENDER_OFFSET_ID text, RECEIVER_OFFSET_ID text, LAS_OVE_PAY number, OVE_ADD_PAY number, SUP_ADD_PAY number, CKC102 number, CASH_PAY number, COM_ACC_PAY number, ENT_ACC_PAY number, ENT_PAY number, COM_PAY number, OLDC_FUND_PAY number, SPE_FUND_PAY number ) CREATE TABLE t_kc21 ( MED_CLINIC_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, COMP_ID text, PERSON_ID text, PERSON_NM text, IDENTITY_CARD text, SOC_SRT_CARD text, PERSON_SEX number, PERSON_AGE number, IN_HOSP_DATE time, OUT_HOSP_DATE time, DIFF_PLACE_FLG number, FLX_MED_ORG_ID text, MED_SER_ORG_NO text, CLINIC_TYPE text, MED_TYPE number, CLINIC_ID text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, INPT_AREA_BED text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, MAIN_COND_DES text, INSU_TYPE text, IN_HOSP_DAYS number, MED_AMOUT number, FERTILITY_STS number, DATA_ID text, SYNC_TIME time, REIMBURSEMENT_FLG number, HOSP_LEV number, HOSP_STS number, INSURED_IDENTITY number, SERVANT_FLG text, TRADE_TYPE number, INSURED_STS text, REMOTE_SETTLE_FLG text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 从二0一三年七月三十日到二0二0年十月一日期间,谷维素片总共被开出了多少,总金额共有多少
SELECT SUM(QTY), SUM(AMOUNT) FROM t_kc22 WHERE SOC_SRT_DIRE_NM = '谷维素片' AND STA_DATE BETWEEN '2013-07-30' AND '2020-10-01'
css
CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER ) CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the total capacity of dorms for each gender? Give me a bar chart.
SELECT gender, SUM(student_capacity) FROM Dorm GROUP BY gender
nvbench
CREATE TABLE table_17763 ( "Model Number" text, "Clock Speed" text, "L2" text, "L3" text, "FSB Speed" text, "Multiplier" text, "Cores" real, "Threads per core" real, "Voltage" text, "TDP (W)" text, "Socket" text, "Release Date" text, "Price ( USD )" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What's the price (in USD) of the model whose L3 is 18 mb?
SELECT "Price ( USD )" FROM table_17763 WHERE "L3" = '18 MB'
wikisql
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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 is the number of patients who have drug code vera120sr?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "VERA120SR"
mimicsql_data
CREATE TABLE table_name_99 ( attendance INTEGER, venue VARCHAR, series VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the most that attendend when the venue was td banknorth garden and the series of montreal leads 3-1
SELECT MAX(attendance) FROM table_name_99 WHERE venue = "td banknorth garden" AND series = "montreal leads 3-1"
sql_create_context
CREATE TABLE Accounts ( account_id INTEGER, customer_id INTEGER, date_account_opened DATETIME, account_name VARCHAR(50), other_account_details VARCHAR(255) ) CREATE TABLE Financial_Transactions ( transaction_id INTEGER, account_id INTEGER, invoice_number INTEGER, transaction_type VARCHAR(15), transaction_date DATETIME, transaction_amount DECIMAL(19,4), transaction_comment VARCHAR(255), other_transaction_details VARCHAR(255) ) CREATE TABLE Invoice_Line_Items ( order_item_id INTEGER, invoice_number INTEGER, product_id INTEGER, product_title VARCHAR(80), product_quantity VARCHAR(50), product_price DECIMAL(19,4), derived_product_cost DECIMAL(19,4), derived_vat_payable DECIMAL(19,4), derived_total_cost DECIMAL(19,4) ) CREATE TABLE Product_Categories ( production_type_code VARCHAR(15), product_type_description VARCHAR(80), vat_rating DECIMAL(19,4) ) CREATE TABLE Invoices ( invoice_number INTEGER, order_id INTEGER, invoice_date DATETIME ) CREATE TABLE Customers ( customer_id INTEGER, customer_first_name VARCHAR(50), customer_middle_initial VARCHAR(1), customer_last_name VARCHAR(50), gender VARCHAR(1), email_address VARCHAR(255), login_name VARCHAR(80), login_password VARCHAR(20), phone_number VARCHAR(255), town_city VARCHAR(50), state_county_province VARCHAR(50), country VARCHAR(50) ) CREATE TABLE Order_Items ( order_item_id INTEGER, order_id INTEGER, product_id INTEGER, product_quantity VARCHAR(50), other_order_item_details VARCHAR(255) ) CREATE TABLE Orders ( order_id INTEGER, customer_id INTEGER, date_order_placed DATETIME, order_details VARCHAR(255) ) CREATE TABLE Products ( product_id INTEGER, parent_product_id INTEGER, production_type_code VARCHAR(15), unit_price DECIMAL(19,4), product_name VARCHAR(80), product_color VARCHAR(20), product_size VARCHAR(20) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Show the number of accounts for all accounts by the customer with first name 'Meaghan' opened in each day. Bin the account open day by weekday in a bar chart.
SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = 'Meaghan'
nvbench
CREATE TABLE table_name_67 ( Id VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the 2008 result when 2012 and 2005 are both QF?
SELECT 2008 FROM table_name_67 WHERE 2012 = "qf" AND 2005 = "qf"
sql_create_context
CREATE TABLE table_32849 ( "Rank" real, "Nation" text, "Gold" real, "Silver" real, "Bronze" real, "Total" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the average total when gold is 0, bronze is 0, and silver is smaller than 1?
SELECT AVG("Total") FROM table_32849 WHERE "Gold" = '0' AND "Bronze" = '0' AND "Silver" < '1'
wikisql
CREATE TABLE table_204_360 ( id number, "year" number, "host" text, "gold" text, "silver" text, "bronze" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- which country has brought home the most gold ?
SELECT "gold" FROM table_204_360 GROUP BY "gold" ORDER BY COUNT(*) DESC LIMIT 1
squall
CREATE TABLE table_29395291_2 ( subscribers__2006___thousands_ INTEGER, provider VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the maximum number of 2006 subscribers for Glo Mobile?
SELECT MAX(subscribers__2006___thousands_) FROM table_29395291_2 WHERE provider = "Glo Mobile"
sql_create_context
CREATE TABLE team ( name VARCHAR, team_id VARCHAR ) CREATE TABLE salary ( team_id VARCHAR, salary INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the name and id of the team offering the lowest average salary?
SELECT T1.name, T1.team_id FROM team AS T1 JOIN salary AS T2 ON T1.team_id = T2.team_id GROUP BY T1.team_id ORDER BY AVG(T2.salary) LIMIT 1
sql_create_context
CREATE TABLE mzjzjlb ( YLJGDM text, JZLSH text, KH text, KLX number, MJZH text, HZXM text, NLS number, NLY number, ZSEBZ number, JZZTDM number, JZZTMC text, JZJSSJ time, TXBZ number, ZZBZ number, WDBZ number, JZKSBM text, JZKSMC text, JZKSRQ time, ZZYSGH text, QTJZYSGH text, JZZDBM text, JZZDSM text, MZZYZDZZBM text, MZZYZDZZMC text, SG number, TZ number, TW number, SSY number, SZY number, XL number, HXPLC number, ML number, JLSJ time ) CREATE TABLE 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 jybgb ( YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text, BGDH text, BGRQ time, JYLX number, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SQRGH text, SQRXM text, BGRGH text, BGRXM text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, JYKSBM text, JYKSMC text, BGJGDM text, BGJGMC text, SQRQ time, CJRQ time, JYRQ time, BGSJ time, BBDM text, BBMC text, JYBBH text, BBZT number, BBCJBW text, JSBBSJ time, JYXMMC text, JYXMDM text, JYSQJGMC text, JYJGMC text, JSBBRQSJ time, JYJSQM text, JYJSGH text ) CREATE TABLE hz_info ( KH text, KLX number, YLJGDM text, RYBH text ) CREATE TABLE person_info ( RYBH text, XBDM number, XBMC text, XM text, CSRQ time, CSD text, MZDM text, MZMC text, GJDM text, GJMC text, JGDM text, JGMC text, XLDM text, XLMC text, ZYLBDM text, ZYMC text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 医疗机构4013101的肾内在2000年2月29起日2018年9月12日结束处理的住院就诊数总共多少?
SELECT COUNT(*) FROM zyjzjlb WHERE YLJGDM = '4013101' AND JZKSMC = '肾内科' AND RYDJSJ BETWEEN '2000-02-29' AND '2018-09-12'
css
CREATE TABLE table_67775 ( "Year" real, "Role" text, "Author" text, "Radio Station/Production Company" text, "Release/Air Date" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Role of narrator, and a Year larger than 2009, and a Release/Air Date of 7 october 2010 belongs to what author?
SELECT "Author" FROM table_67775 WHERE "Role" = 'narrator' AND "Year" > '2009' AND "Release/Air Date" = '7 october 2010'
wikisql
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE 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. -- give me the number of patients whose gender is m and primary disease is guillain barre syndrome?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.diagnosis = "GUILLAIN BARRE SYNDROME"
mimicsql_data
CREATE TABLE table_29598261_1 ( hometown VARCHAR, name VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the hometown for mike ladd?
SELECT hometown FROM table_29598261_1 WHERE name = "Mike Ladd"
sql_create_context
CREATE TABLE table_57911 ( "Year" real, "Title" text, "Original channel" text, "Role" text, "Note" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the title when the year is after 2011 and the original channel is nhk?
SELECT "Title" FROM table_57911 WHERE "Year" > '2011' AND "Original channel" = 'nhk'
wikisql
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 ) 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. -- provide the number of patients whose admission year is less than 2175 and diagnoses short title is chronic liver dis nec?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2175" AND diagnoses.short_title = "Chronic liver dis NEC"
mimicsql_data
CREATE TABLE accounts ( account_id number, customer_id number, account_name text, other_account_details text ) CREATE TABLE financial_transactions ( transaction_id number, previous_transaction_id number, account_id number, card_id number, transaction_type text, transaction_date time, transaction_amount number, transaction_comment text, other_transaction_details text ) CREATE TABLE customers_cards ( card_id number, customer_id number, card_type_code text, card_number text, date_valid_from time, date_valid_to time, other_card_details text ) CREATE TABLE customers ( customer_id number, customer_first_name text, customer_last_name text, customer_address text, customer_phone text, customer_email text, other_customer_details text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the customer id of the customer with the most accounts, and how many accounts does this person have?
SELECT customer_id, COUNT(*) FROM accounts GROUP BY customer_id ORDER BY COUNT(*) DESC LIMIT 1
spider
CREATE TABLE airport_aircraft ( id number, airport_id number, aircraft_id number ) CREATE TABLE airport ( airport_id number, airport_name text, total_passengers number, %_change_2007 text, international_passengers number, domestic_passengers number, transit_passengers number, aircraft_movements number, freight_metric_tonnes number ) CREATE TABLE pilot ( pilot_id number, name text, age number ) CREATE TABLE match ( round number, location text, country text, date text, fastest_qualifying text, winning_pilot text, winning_aircraft text ) CREATE TABLE aircraft ( aircraft_id number, aircraft text, description text, max_gross_weight text, total_disk_area text, max_disk_loading text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- List the name of the aircraft that has been named winning aircraft the most number of times.
SELECT T1.aircraft FROM aircraft AS T1 JOIN match AS T2 ON T1.aircraft_id = T2.winning_aircraft GROUP BY T2.winning_aircraft ORDER BY COUNT(*) DESC LIMIT 1
spider
CREATE TABLE table_name_12 ( finishes VARCHAR, stage_wins VARCHAR, starts VARCHAR, points VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the number of finishes associated with 13 starts, more than 169 points, and 96 stage wins?
SELECT finishes FROM table_name_12 WHERE starts = 13 AND points > 169 AND stage_wins = 96
sql_create_context
CREATE TABLE table_66641 ( "Tie no" text, "Home team" text, "Score" text, "Away team" text, "Attendance" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the score of the game where stafford rangers was the away team?
SELECT "Score" FROM table_66641 WHERE "Away team" = 'stafford rangers'
wikisql
CREATE TABLE Ref_Incident_Type ( incident_type_code VARCHAR(10), incident_type_description VARCHAR(80) ) 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 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 Students_in_Detention ( student_id INTEGER, detention_id INTEGER, incident_id INTEGER ) 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 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 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 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 Ref_Address_Types ( address_type_code VARCHAR(15), address_type_description VARCHAR(80) ) CREATE TABLE Ref_Detention_Type ( detention_type_code VARCHAR(10), detention_type_description VARCHAR(80) ) 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) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Give me the comparison about the sum of monthly_rental over the date_address_from , and group by attribute other_details and bin date_address_from by weekday.
SELECT date_address_from, SUM(monthly_rental) FROM Student_Addresses GROUP BY other_details ORDER BY monthly_rental DESC
nvbench
CREATE TABLE table_36185 ( "Game" real, "February" real, "Opponent" text, "Score" text, "Record" text, "Points" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What's the lowest February for less than 57 points?
SELECT MIN("February") FROM table_36185 WHERE "Points" < '57'
wikisql
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 products with a price between 60 and 120, return a bar chart about the distribution of name and manufacturer .
SELECT Name, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120
nvbench
CREATE TABLE person_info_hz_info ( RYBH text, KH number, KLX number, YLJGDM number ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE hz_info ( KH text, KLX number, 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 mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE 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. -- 我想知道患者窦嘉美之前就诊的医院
SELECT mzjzjlb.YLJGDM FROM person_info JOIN hz_info JOIN mzjzjlb JOIN person_info_hz_info ON person_info.RYBH = person_info_hz_info.RYBH AND 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 WHERE person_info.XM = '窦嘉美' UNION SELECT zyjzjlb.YLJGDM FROM person_info JOIN hz_info JOIN zyjzjlb JOIN person_info_hz_info ON person_info.RYBH = person_info_hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX AND person_info_hz_info.YLJGDM = hz_info.YLJGDM AND person_info_hz_info.KH = hz_info.KH AND person_info_hz_info.KLX = hz_info.KLX WHERE person_info.XM = '窦嘉美'
css
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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. -- provide the number of patients whose ethnicity is hispanic/latino - puerto rican and drug type is base?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND prescriptions.drug_type = "BASE"
mimicsql_data
CREATE TABLE table_32025 ( "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. -- When there was a draw, what was the time?
SELECT "Time" FROM table_32025 WHERE "Res." = 'draw'
wikisql
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 semester ( semester_id int, semester varchar, year int ) CREATE TABLE program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_projects varchar, has_exams varchar, num_reviews int, clarity_score int, easiness_score int, helpfulness_score int ) CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE 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 program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE gsi ( course_offering_id int, student_id int ) 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 program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments int, respected int, participation int, heavy_reading int, tough_grader int, hilarious int, would_take_again int, good_lecture int, no_skip int ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE course_prerequisite ( pre_course_id int, course_id int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- I 'm looking for the easiest class I can take to fulfill the Core requirement .
SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%Core%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%Core%')
advising
CREATE TABLE table_name_32 ( away_team VARCHAR, home_team VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What team was the away team when the home team was Hereford United?
SELECT away_team FROM table_name_32 WHERE home_team = "hereford united"
sql_create_context
CREATE TABLE table_name_36 ( crowd INTEGER, venue VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the average crowd attendance for the Junction Oval venue?
SELECT AVG(crowd) FROM table_name_36 WHERE venue = "junction oval"
sql_create_context
CREATE TABLE exhibition_record ( Exhibition_ID int, Date text, Attendance int ) CREATE TABLE artist ( Artist_ID int, Name text, Country text, Year_Join int, Age int ) CREATE TABLE exhibition ( Exhibition_ID int, Year int, Theme text, Artist_ID int, Ticket_Price real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Compare the average of artists' age by country in a bar graph.
SELECT Country, AVG(Age) FROM artist GROUP BY Country
nvbench
CREATE TABLE table_24910733_2 ( episode VARCHAR, rating VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many episodes received rating of 8.2?
SELECT COUNT(episode) FROM table_24910733_2 WHERE rating = "8.2"
sql_create_context
CREATE TABLE table_68677 ( "Year" text, "Title" text, "( Title in English )" text, "Director" text, "Character" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the year of the TV series directed by Soroush Sehat?
SELECT "Year" FROM table_68677 WHERE "Director" = 'soroush sehat'
wikisql
CREATE TABLE event ( ID int, Name text, Stadium_ID int, Year text ) CREATE TABLE stadium ( ID int, name text, Capacity int, City text, Country text, Opening_year int ) CREATE TABLE record ( ID int, Result text, Swimmer_ID int, Event_ID int ) CREATE TABLE swimmer ( ID int, name text, Nationality text, meter_100 real, meter_200 text, meter_300 text, meter_400 text, meter_500 text, meter_600 text, meter_700 text, Time text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Give me the comparison about meter_100 over the meter_600 , display X in descending order.
SELECT meter_600, meter_100 FROM swimmer ORDER BY meter_600 DESC
nvbench
CREATE TABLE table_33062 ( "Year" text, "League" text, "Reg. Season" text, "Playoffs" text, "Attendance Average" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the average attendance of the team that had a regular season result of 2nd aisa, 24-16?
SELECT "Attendance Average" FROM table_33062 WHERE "Reg. Season" = '2nd aisa, 24-16'
wikisql
CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE 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 patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number ) CREATE TABLE 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 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- since 5 years ago, what are the top four most frequent procedures given to patients in the same hospital visit after diagnosis of adv eff fibrinolysis agt?
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, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'adv eff fibrinolysis agt') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.icd9_code, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 4)
mimic_iii
CREATE TABLE table_77133 ( "Tie no" text, "Home team" text, "Score" text, "Away team" text, "Date" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the home team with scarborough as the away team?
SELECT "Home team" FROM table_77133 WHERE "Away team" = 'scarborough'
wikisql
CREATE TABLE table_name_75 ( rank INTEGER, name VARCHAR, birth VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What rank is He Yingqin who was born before 1890?
SELECT AVG(rank) FROM table_name_75 WHERE name = "he yingqin" AND birth < 1890
sql_create_context
CREATE TABLE table_name_1 ( score VARCHAR, team VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Score with a Team that is @ portland?
SELECT score FROM table_name_1 WHERE team = "@ portland"
sql_create_context
CREATE TABLE table_76096 ( "Week of" text, "Tier" text, "Winner" text, "Runner-up" text, "Semi finalists" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who are the semi finalists on the week of 12 june, when the runner-up is listed as Lori McNeil?
SELECT "Semi finalists" FROM table_76096 WHERE "Week of" = '12 june' AND "Runner-up" = 'lori mcneil'
wikisql
CREATE TABLE table_30720 ( "Athens XI" text, "PIFA Colaba FC u-17" text, "Tata Power" text, "Dadar XI \u2018B\u2019" text, "IDBI" text, "World Network Services" text, "United FC" text, "Good Shepherd" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the dadar xi b where pifa colaba is sporting options?
SELECT "Dadar XI \u2018B\u2019" FROM table_30720 WHERE "PIFA Colaba FC u-17" = 'Sporting Options'
wikisql
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 Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId 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 PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) 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 PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress 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 Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other ) CREATE TABLE 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 PostTags ( PostId number, TagId number ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE 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 PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE PostTypes ( Id number, Name text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Comments on my posts containing two given phrases (case insensitive).
SELECT c.Id AS "comment_link", c.Text, c.UserId AS "user_link", c.CreationDate FROM Comments AS c INNER JOIN Posts AS p ON c.PostId = p.Id WHERE (p.OwnerUserId = '##UserId?8297##') AND (c.Text LIKE '%##Word1?chat##%' COLLATE Latin1_General_CI_AI) AND (c.Text LIKE '%##Word2?here##%' COLLATE Latin1_General_CI_AI)
sede
CREATE TABLE customer_orders ( order_date VARCHAR, customer_id VARCHAR ) CREATE TABLE customers ( customer_name VARCHAR, customer_id VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Find the customer name and date of the orders that have the status 'Delivered'.
SELECT t1.customer_name, t2.order_date FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id WHERE order_status = "Delivered"
sql_create_context
CREATE TABLE table_77602 ( "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 was the score of the away team while playing at the arden street oval?
SELECT "Away team score" FROM table_77602 WHERE "Venue" = 'arden street oval'
wikisql
CREATE TABLE txmzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH number, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TZ number, WDBZ number, XL number, YLJGDM number, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE ftxmzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH number, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TZ number, WDBZ number, XL number, YLJGDM number, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 门诊诊断病人方鹏云为精神分裂症的检测指标162731的结果定量及其单位各是什么呀?
SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM person_info JOIN hz_info JOIN txmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = txmzjzjlb.YLJGDM AND hz_info.KH = txmzjzjlb.KH AND hz_info.KLX = txmzjzjlb.KLX AND txmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND txmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE txmzjzjlb.JZZDSM = '精神分裂症' AND person_info.XM = '方鹏云' AND jyjgzbb.JCZBDM = '162731' UNION SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM person_info JOIN hz_info JOIN ftxmzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = ftxmzjzjlb.YLJGDM AND hz_info.KH = ftxmzjzjlb.KH AND hz_info.KLX = ftxmzjzjlb.KLX AND ftxmzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND ftxmzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE ftxmzjzjlb.JZZDSM = '精神分裂症' AND person_info.XM = '方鹏云' AND jyjgzbb.JCZBDM = '162731'
css
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE 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. -- what is the number of patients whose age is less than 61 and lab test name is monocytes?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "61" AND lab.label = "Monocytes"
mimicsql_data
CREATE TABLE table_24574 ( "Train No." text, "Train Name" text, "Destination" text, "Category" text, "Frequency" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the frequency of trains numbered 12671/12672?
SELECT "Frequency" FROM table_24574 WHERE "Train No." = '12671/12672'
wikisql
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 gwyjzb ( 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 number, 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, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_CLINIC_ID text, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE fgwyjzb ( 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 number, 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, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 查一下病患葛映波的医疗记录,分别列出医疗费总额高于6981.35元的入院诊断疾病名和编码
SELECT gwyjzb.OUT_DIAG_DIS_CD, gwyjzb.OUT_DIAG_DIS_NM FROM gwyjzb WHERE gwyjzb.PERSON_NM = '葛映波' AND gwyjzb.MED_CLINIC_ID IN (SELECT t_kc24.MED_CLINIC_ID FROM t_kc24 WHERE t_kc24.MED_AMOUT >= 6981.35) UNION SELECT fgwyjzb.OUT_DIAG_DIS_CD, fgwyjzb.OUT_DIAG_DIS_NM FROM fgwyjzb WHERE fgwyjzb.PERSON_NM = '葛映波' AND fgwyjzb.MED_CLINIC_ID IN (SELECT t_kc24.MED_CLINIC_ID FROM t_kc24 WHERE t_kc24.MED_AMOUT >= 6981.35)
css
CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId 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 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 PostTypes ( Id number, Name text ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE ReviewTaskResultTypes ( 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 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 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 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 PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount 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 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 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 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 VoteTypes ( Id number, Name text ) CREATE TABLE PostTags ( PostId number, TagId number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Top 10 Zero score questions with highest view count.
SELECT Id AS "post_link", ViewCount FROM Posts AS p WHERE Score = 0 ORDER BY ViewCount DESC LIMIT 10
sede
CREATE TABLE table_204_858 ( id number, "date" text, "time" text, "opponent#" text, "rank#" text, "site" text, "tv" text, "result" text, "attendance" number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the different between the number of people who attended august 30th and the number of people who attended november 1st
SELECT ABS((SELECT "attendance" FROM table_204_858 WHERE "date" = 'august 30') - (SELECT "attendance" FROM table_204_858 WHERE "date" = 'november 1'))
squall
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE 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 demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- give me the number of patients whose gender is m and item id is 51148?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "M" AND lab.itemid = "51148"
mimicsql_data
CREATE TABLE table_203_157 ( id number, "year" number, "film" text, "role" text, "language" text, "notes" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many films has neha sharma been in ?
SELECT COUNT("film") FROM table_203_157
squall
CREATE TABLE table_70538 ( "Frame size" text, "Width" real, "Height" real, "Mpix" real, "Aspect Ratio" text, "Maximum fps" real, "Maximum fps HDRx" real, "least compression at 24 fps" text, "least compression at maximum fps" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the lowest maximum of fps with a width of 3072 and a height less than 1620?
SELECT MIN("Maximum fps") FROM table_70538 WHERE "Width" = '3072' AND "Height" < '1620'
wikisql
CREATE TABLE table_26998135_2 ( replaced_by VARCHAR, date_of_vacancy VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who is the replaced by when the date of vacancy is 27 december 2010?
SELECT replaced_by FROM table_26998135_2 WHERE date_of_vacancy = "27 December 2010"
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. -- what is the total number of names ?
SELECT COUNT("name") FROM table_204_29
squall
CREATE TABLE table_name_50 ( visitor VARCHAR, series VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Visitor with a Series with 3 2?
SELECT visitor FROM table_name_50 WHERE series = "3 – 2"
sql_create_context
CREATE TABLE table_20212 ( "#" real, "Season" real, "Bowl game" text, "Result" text, "Opponent" text, "Stadium" text, "Location" text, "Attendance" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the lowest # in Atlanta, GA with the Georgia Bulldogs as an opponent?
SELECT MIN("#") FROM table_20212 WHERE "Location" = 'Atlanta, GA' AND "Opponent" = 'Georgia Bulldogs'
wikisql
CREATE TABLE table_name_41 ( team VARCHAR, circuit VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the team features at Oran Park Raceway?
SELECT team FROM table_name_41 WHERE circuit = "oran park raceway"
sql_create_context
CREATE TABLE table_10959 ( "Year" real, "Result" text, "Award" text, "Category" text, "Film or series" text, "Character" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What character won the best dramatic performance award?
SELECT "Character" FROM table_10959 WHERE "Category" = 'best dramatic performance'
wikisql
CREATE TABLE table_29612224_1 ( colors VARCHAR, location VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many different combinations of team colors are there in all the schools in Maroa, Illinois?
SELECT COUNT(colors) FROM table_29612224_1 WHERE location = "Maroa, Illinois"
sql_create_context
CREATE TABLE table_24419 ( "Year" real, "Song Title" text, "Artist" text, "Genre" text, "Original Game" text, "Band Tier/Venue" text, "Exportable to GH5/BH" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is every song title for 2007?
SELECT "Song Title" FROM table_24419 WHERE "Year" = '2007'
wikisql
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many patients whose primary disease is overdose and lab test abnormal status is delta?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "OVERDOSE" AND lab.flag = "delta"
mimicsql_data
CREATE TABLE races ( name VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- List the names of all distinct races in reversed lexicographic order?
SELECT DISTINCT name FROM races ORDER BY name DESC
sql_create_context
CREATE TABLE table_60816 ( "Year" real, "Grand Slam" text, "Round" text, "Winner" text, "Loser" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- In which year is Nerida Gregory listed as the loser?
SELECT AVG("Year") FROM table_60816 WHERE "Loser" = 'nerida gregory'
wikisql
CREATE TABLE table_6224 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Game site" text, "Attendance" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Game site of candlestick park had what opponent?
SELECT "Opponent" FROM table_6224 WHERE "Game site" = 'candlestick park'
wikisql
CREATE TABLE t_kc21 ( MED_CLINIC_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, COMP_ID text, PERSON_ID text, PERSON_NM text, IDENTITY_CARD text, SOC_SRT_CARD text, PERSON_SEX number, PERSON_AGE number, IN_HOSP_DATE time, OUT_HOSP_DATE time, DIFF_PLACE_FLG number, FLX_MED_ORG_ID text, MED_SER_ORG_NO text, CLINIC_TYPE text, MED_TYPE number, CLINIC_ID text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, INPT_AREA_BED text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, MAIN_COND_DES text, INSU_TYPE text, IN_HOSP_DAYS number, MED_AMOUT number, FERTILITY_STS number, DATA_ID text, SYNC_TIME time, REIMBURSEMENT_FLG number, HOSP_LEV number, HOSP_STS number, INSURED_IDENTITY number, SERVANT_FLG text, TRADE_TYPE number, INSURED_STS text, REMOTE_SETTLE_FLG text ) CREATE TABLE t_kc22 ( MED_EXP_DET_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, MED_EXP_BILL_ID text, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, DIRE_TYPE number, CHA_ITEM_LEV number, MED_INV_ITEM_TYPE text, MED_DIRE_CD text, MED_DIRE_NM text, VAL_UNIT text, DOSE_UNIT text, DOSE_FORM text, SPEC text, USE_FRE text, EACH_DOSAGE text, QTY number, UNIVALENT number, AMOUNT number, SELF_PAY_PRO number, RER_SOL number, SELF_PAY_AMO number, UP_LIMIT_AMO number, OVE_SELF_AMO number, EXP_OCC_DATE time, RECIPE_BILL_ID text, FLX_MED_ORG_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, HOSP_DOC_CD text, HOSP_DOC_NM text, REF_STA_FLG number, DATA_ID text, SYNC_TIME time, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, TRADE_TYPE number, STA_FLG number, STA_DATE time, REIMBURS_TYPE number, FXBZ number, REMOTE_SETTLE_FLG text ) CREATE TABLE t_kc24 ( MED_SAFE_PAY_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, REF_SLT_FLG number, CLINIC_SLT_DATE time, COMP_ID text, PERSON_ID text, FLX_MED_ORG_ID text, INSU_TYPE text, MED_AMOUT number, PER_ACC_PAY number, OVE_PAY number, ILL_PAY number, CIVIL_SUBSIDY number, PER_SOL number, PER_EXP number, DATA_ID text, SYNC_TIME time, OUT_HOSP_DATE time, CLINIC_ID text, MED_TYPE number, INSURED_STS text, INSURED_IDENTITY number, TRADE_TYPE number, RECIPE_BILL_ID text, ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, RECEIVER_DEAL_ID text, SENDER_REVOKE_ID text, RECEIVER_REVOKE_ID text, SENDER_OFFSET_ID text, RECEIVER_OFFSET_ID text, LAS_OVE_PAY number, OVE_ADD_PAY number, SUP_ADD_PAY number, CKC102 number, CASH_PAY number, COM_ACC_PAY number, ENT_ACC_PAY number, ENT_PAY number, COM_PAY number, OLDC_FUND_PAY number, SPE_FUND_PAY number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 42849404这个病人在医疗就诊14468972682中,开的什么药及其每次的用量和使用频次
SELECT SOC_SRT_DIRE_NM, EACH_DOSAGE, USE_FRE FROM t_kc22 WHERE MED_CLINIC_ID = '14468972682'
css
CREATE TABLE t_kc21 ( CLINIC_ID text, CLINIC_TYPE text, COMP_ID text, DATA_ID text, DIFF_PLACE_FLG number, FERTILITY_STS number, FLX_MED_ORG_ID text, HOSP_LEV number, HOSP_STS number, IDENTITY_CARD text, INPT_AREA_BED text, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, IN_HOSP_DATE time, IN_HOSP_DAYS number, MAIN_COND_DES text, MED_AMOUT number, MED_CLINIC_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, MED_SER_ORG_NO text, MED_TYPE number, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, PERSON_AGE number, PERSON_ID text, PERSON_NM text, PERSON_SEX number, REIMBURSEMENT_FLG number, REMOTE_SETTLE_FLG text, SERVANT_FLG text, SOC_SRT_CARD text, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc24 ( ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, CASH_PAY number, CIVIL_SUBSIDY number, CKC102 number, CLINIC_ID text, CLINIC_SLT_DATE time, COMP_ID text, COM_ACC_PAY number, COM_PAY number, DATA_ID text, ENT_ACC_PAY number, ENT_PAY number, FLX_MED_ORG_ID text, ILL_PAY number, INSURED_IDENTITY number, INSURED_STS text, INSU_TYPE text, LAS_OVE_PAY number, MED_AMOUT number, MED_SAFE_PAY_ID text, MED_TYPE number, OLDC_FUND_PAY number, OUT_HOSP_DATE time, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_ADD_PAY number, OVE_PAY number, PERSON_ID text, PER_ACC_PAY number, PER_EXP number, PER_SOL number, RECEIVER_DEAL_ID text, RECEIVER_OFFSET_ID text, RECEIVER_REVOKE_ID text, RECIPE_BILL_ID text, REF_SLT_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, SENDER_OFFSET_ID text, SENDER_REVOKE_ID text, SPE_FUND_PAY number, SUP_ADD_PAY number, SYNC_TIME time, TRADE_TYPE number ) CREATE TABLE t_kc22 ( AMOUNT number, CHA_ITEM_LEV number, DATA_ID text, DIRE_TYPE number, DOSE_FORM text, DOSE_UNIT text, EACH_DOSAGE text, EXP_OCC_DATE time, FLX_MED_ORG_ID text, FXBZ number, HOSP_DOC_CD text, HOSP_DOC_NM text, MED_CLINIC_ID text, MED_DIRE_CD text, MED_DIRE_NM text, MED_EXP_BILL_ID text, MED_EXP_DET_ID text, MED_INV_ITEM_TYPE text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, OVE_SELF_AMO number, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, QTY number, RECIPE_BILL_ID text, REF_STA_FLG number, REIMBURS_TYPE number, REMOTE_SETTLE_FLG text, RER_SOL number, SELF_PAY_AMO number, SELF_PAY_PRO number, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, SPEC text, STA_DATE time, STA_FLG number, SYNC_TIME time, TRADE_TYPE number, UNIVALENT number, UP_LIMIT_AMO number, USE_FRE text, VAL_UNIT text ) CREATE TABLE t_kc21_t_kc24 ( MED_CLINIC_ID text, MED_SAFE_PAY_ID number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 医疗机构1577129从01年12月14日至04年4月11日之内险种类型为儿童的医疗就诊记录数量是多少?
SELECT COUNT(*) FROM t_kc21 WHERE t_kc21.MED_SER_ORG_NO = '1577129' AND t_kc21.IN_HOSP_DATE BETWEEN '2001-12-14' AND '2004-04-11' AND t_kc21.INSU_TYPE = '儿童'
css
CREATE TABLE table_2105 ( "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" real, "Nickname" text, "Joined" real, "Division" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many teams have skyhawks as a nickname?
SELECT COUNT("Division") FROM table_2105 WHERE "Nickname" = 'Skyhawks'
wikisql
CREATE TABLE table_204_937 ( id number, "rank" number, "lane" number, "athlete" text, "time" number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- name the only athlete from sri lanka .
SELECT "athlete" FROM table_204_937 WHERE "athlete" = 'sri'
squall
CREATE TABLE Things ( thing_id INTEGER, organization_id INTEGER, Type_of_Thing_Code CHAR(15), service_type_code CHAR(10), service_details VARCHAR(255) ) CREATE TABLE Customers ( customer_id INTEGER, customer_details VARCHAR(255) ) CREATE TABLE Services ( service_id INTEGER, organization_id INTEGER, service_type_code CHAR(15), service_details VARCHAR(255) ) CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER, Date_and_Date DATETIME, Status_of_Thing_Code CHAR(15) ) CREATE TABLE Organizations ( organization_id INTEGER, parent_organization_id INTEGER, organization_details VARCHAR(255) ) CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER, Customer_Event_ID INTEGER, service_type_code CHAR(15), resident_id INTEGER, property_id INTEGER, date_moved_in DATETIME ) CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER, Date_and_Time DATETIME, Location_Code CHAR(15) ) CREATE TABLE Properties ( property_id INTEGER, property_type_code CHAR(15), property_address VARCHAR(255), other_details VARCHAR(255) ) CREATE TABLE Residents_Services ( resident_id INTEGER, service_id INTEGER, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255) ) CREATE TABLE Residents ( resident_id INTEGER, property_id INTEGER, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR(255) ) CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Please use a bar chart to compare the number of customers of each customer's move in date, and rank by the total number from low to high.
SELECT date_moved_in, COUNT(date_moved_in) FROM Customers AS T1 JOIN Customer_Events AS T2 ON T1.customer_id = T2.customer_id GROUP BY date_moved_in ORDER BY COUNT(date_moved_in)
nvbench
CREATE TABLE table_name_87 ( date VARCHAR, opponent VARCHAR, result VARCHAR, name VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the date of the match with a result of ud 12/12 between Pernell Whitaker and James Mcgirt?
SELECT date FROM table_name_87 WHERE result = "ud 12/12" AND name = "pernell whitaker" AND opponent = "james mcgirt"
sql_create_context