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CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) 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. -- what is discharge location of subject name paul edwards?
SELECT demographic.discharge_location FROM demographic WHERE demographic.name = "Paul Edwards"
mimicsql_data
CREATE TABLE table_18471 ( "District" text, "Incumbent" text, "Party" text, "First elected" real, "Result" text, "Candidates" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the latest year listed with the Alabama 4 voting district?
SELECT MAX("First elected") FROM table_18471 WHERE "District" = 'Alabama 4'
wikisql
CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text ) CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Give me the comparison about ACC_Percent over the Team_Name .
SELECT Team_Name, ACC_Percent FROM basketball_match
nvbench
CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, ZSEBZ number, ZZBZ number, ZZYSGH text, mzjzjlb_id number ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) CREATE TABLE hz_info_mzjzjlb ( JZLSH number, YLJGDM number, mzjzjlb_id number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 门诊给患者韩奇正诊断为疾病Z28.586,那检测指标609254的结果定量及其单位是什么
SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN hz_info_mzjzjlb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND hz_info_mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.YLJGDM = hz_info_mzjzjlb.YLJGDM AND hz_info_mzjzjlb.JZLSH = mzjzjlb.JZLSH AND hz_info_mzjzjlb.mzjzjlb_id = mzjzjlb.mzjzjlb_id WHERE mzjzjlb.JZZDBM = 'Z28.586' AND person_info.XM = '韩奇正' AND jyjgzbb.JCZBDM = '609254'
css
CREATE TABLE table_12453 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Game site" text, "Record" text, "Attendance" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Record in a week later than 7 against the San Diego Chargers?
SELECT "Record" FROM table_12453 WHERE "Week" > '7' AND "Opponent" = 'san diego chargers'
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 procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is diagnoses long title of subject id 74463?
SELECT diagnoses.long_title FROM diagnoses WHERE diagnoses.subject_id = "74463"
mimicsql_data
CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE gsi ( course_offering_id int, student_id int ) CREATE TABLE student ( student_id int, lastname varchar, firstname varchar, program_id int, declare_major varchar, total_credit int, total_gpa float, entered_as varchar, admit_term int, predicted_graduation_semester int, degree varchar, minor varchar, internship varchar ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments int, respected int, participation int, heavy_reading int, tough_grader int, hilarious int, would_take_again int, good_lecture int, no_skip int ) CREATE TABLE program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar ) CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_projects varchar, has_exams varchar, num_reviews int, clarity_score int, easiness_score int, helpfulness_score int ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE course_prerequisite ( pre_course_id int, course_id int ) CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What number of PHIL 427 prerequisites have I fulfilled ?
SELECT COUNT(DISTINCT COURSE_1.department, COURSE_0.number) FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite, student_record WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'PHIL' AND COURSE_1.number = 427 AND student_record.course_id = COURSE_0.course_id AND student_record.student_id = 1
advising
CREATE TABLE table_name_17 ( player VARCHAR, place VARCHAR, score VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which player placed in t5 and had a score of 72-71-73-78=294?
SELECT player FROM table_name_17 WHERE place = "t5" AND score = 72 - 71 - 73 - 78 = 294
sql_create_context
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE 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 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. -- count the number of patients whose diagnoses short title is poisoning-opiates nec and drug type is main?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Poisoning-opiates NEC" AND prescriptions.drug_type = "MAIN"
mimicsql_data
CREATE TABLE table_33329 ( "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. -- Where did Essendon play as the home team?
SELECT "Venue" FROM table_33329 WHERE "Home team" = 'essendon'
wikisql
CREATE TABLE table_38646 ( "Date" text, "Visitor" text, "Score" text, "Home" text, "Record" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the record on April 6?
SELECT "Record" FROM table_38646 WHERE "Date" = 'april 6'
wikisql
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 ) 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. -- 患者44017290在二00五年十月十八日到二0一二年二月二十八日期间,最常去的是哪家医院
SELECT gwyjzb.MED_SER_ORG_NO FROM gwyjzb WHERE gwyjzb.PERSON_ID = '44017290' AND gwyjzb.IN_HOSP_DATE BETWEEN '2005-10-18' AND '2012-02-28' GROUP BY gwyjzb.MED_SER_ORG_NO ORDER BY COUNT(*) DESC LIMIT 1 UNION SELECT fgwyjzb.MED_SER_ORG_NO FROM fgwyjzb WHERE fgwyjzb.PERSON_ID = '44017290' AND fgwyjzb.IN_HOSP_DATE BETWEEN '2005-10-18' AND '2012-02-28' GROUP BY fgwyjzb.MED_SER_ORG_NO ORDER BY COUNT(*) DESC LIMIT 1
css
CREATE TABLE table_46966 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who had the high points when the score was w 108 105 (ot)?
SELECT "High points" FROM table_46966 WHERE "Score" = 'w 108–105 (ot)'
wikisql
CREATE TABLE table_name_22 ( grid VARCHAR, team VARCHAR, driver VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the grid of driver tomas scheckter from vision racing team?
SELECT grid FROM table_name_22 WHERE team = "vision racing" AND driver = "tomas scheckter"
sql_create_context
CREATE TABLE table_45943 ( "Ethnicity" text, "Islam" text, "Christianity" text, "Judaism" text, "Buddhism" text, "Other" text, "Atheism" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the other value associated with a Christianity value of 10.24%?
SELECT "Other" FROM table_45943 WHERE "Christianity" = '10.24%'
wikisql
CREATE TABLE table_12848 ( "Governorate" text, "Cereals" real, "Fruit Trees" real, "Olives" real, "Industrial crops" real, "Vegetables" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the total number of olives of the governorate with less than 259,743 vegetables, more than 14,625 industrial crops, and 20,768 fruit trees?
SELECT COUNT("Olives") FROM table_12848 WHERE "Vegetables" < '259,743' AND "Industrial crops" > '14,625' AND "Fruit Trees" = '20,768'
wikisql
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 hz_info ( KH text, KLX number, YLJGDM text, RYBH text ) CREATE TABLE person_info ( RYBH text, XBDM number, XBMC text, XM text, CSRQ time, CSD text, MZDM text, MZMC text, GJDM text, GJMC text, JGDM text, JGMC text, XLDM text, XLMC text, ZYLBDM text, ZYMC text ) CREATE TABLE mzjzjlb ( YLJGDM text, JZLSH text, KH text, KLX number, MJZH text, HZXM text, NLS number, NLY number, ZSEBZ number, JZZTDM number, JZZTMC text, JZJSSJ time, TXBZ number, ZZBZ number, WDBZ number, JZKSBM text, JZKSMC text, JZKSRQ time, ZZYSGH text, QTJZYSGH text, JZZDBM text, JZZDSM text, MZZYZDZZBM text, MZZYZDZZMC text, SG number, TZ number, TW number, SSY number, SZY number, XL number, HXPLC number, ML number, JLSJ time ) CREATE TABLE 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 以往患者79096915门诊诊断呢都有什么?
SELECT mzjzjlb.JZZDBM, mzjzjlb.JZZDSM FROM hz_info JOIN mzjzjlb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX WHERE hz_info.RYBH = '79096915'
css
CREATE TABLE table_67118 ( "State ranked in partisan order" text, "Percentage Republicans" text, "Percentage Democrats" text, "Republican/ Democratic" text, "Republican seat plurality" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What state is 25% Democrats has a ratio of 6/2 of Republicans to Democrats?
SELECT "State ranked in partisan order" FROM table_67118 WHERE "Percentage Democrats" = '25%' AND "Republican/ Democratic" = '6/2'
wikisql
CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) -- Using valid SQLite, answer the following questions for the tables provided above. -- i want a flight from HOUSTON to MEMPHIS on tuesday morning
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((flight.departure_time BETWEEN 0 AND 1200) AND date_day.day_number = 22 AND date_day.month_number = 3 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MEMPHIS' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'HOUSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
atis
CREATE TABLE table_name_85 ( goals_for INTEGER, wins VARCHAR, goals_against VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the smallest number of 'goals for' out of the clubs where there were 18 wins and fewer than 38 'goals against'?
SELECT MIN(goals_for) FROM table_name_85 WHERE wins = 18 AND goals_against < 38
sql_create_context
CREATE TABLE table_68411 ( "Res." text, "Record" text, "Opponent" text, "Method" text, "Round" real, "Time" text, "Location" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which round did the bout against Jonatas Novaes end in?
SELECT "Round" FROM table_68411 WHERE "Opponent" = 'jonatas novaes'
wikisql
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 jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE 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 comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE course_prerequisite ( pre_course_id int, course_id int ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname 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 requirement ( requirement_id int, requirement varchar, college 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 offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE gsi ( course_offering_id int, student_id int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- The HJCS 425 class how long has it been offered ?
SELECT DISTINCT semester.year FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'HJCS' AND course.number = 425 AND semester.semester_id = course_offering.semester ORDER BY semester.year LIMIT 1
advising
CREATE TABLE table_204_974 ( id number, "season" number, "level" text, "division" text, "section" text, "administration" text, "position" text, "movements" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- of the third division , how many were in section3 ?
SELECT COUNT(*) FROM table_204_974 WHERE "division" = 'third division' AND "section" = 'section 3'
squall
CREATE TABLE table_14423274_3 ( date VARCHAR, game_site VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What date did they play in Cleveland Municipal Stadium?
SELECT date FROM table_14423274_3 WHERE game_site = "Cleveland Municipal Stadium"
sql_create_context
CREATE TABLE table_name_35 ( location VARCHAR, school VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Where is Terre Haute North located?
SELECT location FROM table_name_35 WHERE school = "terre haute north"
sql_create_context
CREATE TABLE table_name_11 ( tournament VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which Tournament has A in 1987?
SELECT tournament FROM table_name_11 WHERE 1987 = "a"
sql_create_context
CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE gsi ( course_offering_id int, student_id int ) CREATE TABLE program_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 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 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 offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE student ( student_id int, lastname varchar, firstname varchar, program_id int, declare_major varchar, total_credit int, total_gpa float, entered_as varchar, admit_term int, predicted_graduation_semester int, degree varchar, minor varchar, internship varchar ) CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_projects varchar, has_exams varchar, num_reviews int, clarity_score int, easiness_score int, helpfulness_score int ) CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the special topics classes available next Winter ?
SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE (course.number = 398 OR course.number = 498 OR course.number = 598) AND course.department = 'EECS' AND semester.semester = 'Winter' AND semester.year = 2017
advising
CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text ) CREATE TABLE 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 zyjzjlb_jybgb ( YLJGDM_ZYJZJLB text, BGDH number, YLJGDM number ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 整理下患者姜淑华在二零零四年七月三十日到二零二零年十一月二十六日内所有检验结果指标记录的检测人为17450031的检验指标流水号好嘛
SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '姜淑华' AND jyjgzbb.JYRQ BETWEEN '2004-07-30' AND '2020-11-26' AND jyjgzbb.JCRGH = '17450031' UNION SELECT jyjgzbb.JYZBLSH FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb JOIN zyjzjlb_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 = zyjzjlb_jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND zyjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND zyjzjlb_jybgb.BGDH = jybgb.BGDH AND zyjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND zyjzjlb_jybgb.BGDH = jybgb.BGDH WHERE person_info.XM = '姜淑华' AND jyjgzbb.JYRQ BETWEEN '2004-07-30' AND '2020-11-26' AND jyjgzbb.JCRGH = '17450031'
css
CREATE TABLE table_name_81 ( points_against VARCHAR, played VARCHAR, lost VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the points against for the team that played 22 and lost 6?
SELECT points_against FROM table_name_81 WHERE played = "22" AND lost = "6"
sql_create_context
CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text ) CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Give me the comparison about All_Games_Percent over the All_Neutral , could you list y axis in descending order?
SELECT All_Neutral, All_Games_Percent FROM basketball_match ORDER BY All_Games_Percent DESC
nvbench
CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE 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_ZYJZJLB text ) CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE mzjzjlb_jybgb ( YLJGDM_MZJZJLB text, BGDH number, YLJGDM number ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 自2000年12月30日,到2020年10月26日,8951695这个医疗机构处理了多少次新生儿门诊
SELECT COUNT(*) FROM mzjzjlb WHERE mzjzjlb.YLJGDM = '8951695' AND mzjzjlb.JZKSRQ BETWEEN '2000-12-30' AND '2020-10-26' AND mzjzjlb.ZSEBZ > 0
css
CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE 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 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 treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the minimum total cost to the hospital that includes a cortisol lab test?
SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'cortisol')) GROUP BY cost.patienthealthsystemstayid) AS t1
eicu
CREATE TABLE table_5248 ( "Position" real, "Team" text, "Points" real, "Played" real, "Drawn" real, "Lost" real, "Against" real, "Difference" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the smallest positioned with more than 9 played?
SELECT MIN("Position") FROM table_5248 WHERE "Played" > '9'
wikisql
CREATE TABLE table_name_91 ( label VARCHAR, catalog VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which label has a catalog of y8hr 1006 in 1972?
SELECT label FROM table_name_91 WHERE catalog = "y8hr 1006" AND date = "1972"
sql_create_context
CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- tell me the maximum hospital cost that includes cholecystectomy in 2105?
SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'cholecystectomy')) AND STRFTIME('%y', cost.chargetime) = '2105' GROUP BY cost.hadm_id) AS t1
mimic_iii
CREATE TABLE table_67161 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the score of Tim Herron, who placed t1?
SELECT "Score" FROM table_67161 WHERE "Place" = 't1' AND "Player" = 'tim herron'
wikisql
CREATE TABLE table_48052 ( "Rider" text, "Manufacturer" text, "Laps" real, "Time" text, "Grid" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- With a Grid less than 15, and a Time of +52.833, what is the highest number of Laps?
SELECT MAX("Laps") FROM table_48052 WHERE "Grid" < '15' AND "Time" = '+52.833'
wikisql
CREATE TABLE table_19753079_35 ( party VARCHAR, district VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the party for new york 4
SELECT party FROM table_19753079_35 WHERE district = "New York 4"
sql_create_context
CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE flight_stop ( flight_id int, stop_number int, stop_days text, stop_airport text, arrival_time int, arrival_airline text, arrival_flight_number int, departure_time int, departure_airline text, departure_flight_number int, stop_time int ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE aircraft ( aircraft_code varchar, aircraft_description varchar, manufacturer varchar, basic_type varchar, engines int, propulsion varchar, wide_body varchar, wing_span int, length int, weight int, capacity int, pay_load int, cruising_speed int, range_miles int, pressurized varchar ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- show me flights from BALTIMORE to BOSTON
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
atis
CREATE TABLE table_24108789_6 ( events INTEGER, _number VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the least events for number 7
SELECT MIN(events) FROM table_24108789_6 WHERE _number = 7
sql_create_context
CREATE TABLE Physician ( EmployeeID INTEGER, Name VARCHAR(30), Position VARCHAR(30), SSN INTEGER ) CREATE TABLE Block ( BlockFloor INTEGER, BlockCode INTEGER ) CREATE TABLE Stay ( StayID INTEGER, Patient INTEGER, Room INTEGER, StayStart DATETIME, StayEnd DATETIME ) CREATE TABLE Medication ( Code INTEGER, Name VARCHAR(30), Brand VARCHAR(30), Description VARCHAR(30) ) CREATE TABLE On_Call ( Nurse INTEGER, BlockFloor INTEGER, BlockCode INTEGER, OnCallStart DATETIME, OnCallEnd DATETIME ) CREATE TABLE Prescribes ( Physician INTEGER, Patient INTEGER, Medication INTEGER, Date DATETIME, Appointment INTEGER, Dose VARCHAR(30) ) CREATE TABLE Appointment ( AppointmentID INTEGER, Patient INTEGER, PrepNurse INTEGER, Physician INTEGER, Start DATETIME, End DATETIME, ExaminationRoom TEXT ) CREATE TABLE Affiliated_With ( Physician INTEGER, Department INTEGER, PrimaryAffiliation BOOLEAN ) CREATE TABLE Patient ( SSN INTEGER, Name VARCHAR(30), Address VARCHAR(30), Phone VARCHAR(30), InsuranceID INTEGER, PCP INTEGER ) CREATE TABLE Trained_In ( Physician INTEGER, Treatment INTEGER, CertificationDate DATETIME, CertificationExpires DATETIME ) CREATE TABLE Department ( DepartmentID INTEGER, Name VARCHAR(30), Head INTEGER ) CREATE TABLE Room ( RoomNumber INTEGER, RoomType VARCHAR(30), BlockFloor INTEGER, BlockCode INTEGER, Unavailable BOOLEAN ) CREATE TABLE Undergoes ( Patient INTEGER, Procedures INTEGER, Stay INTEGER, DateUndergoes DATETIME, Physician INTEGER, AssistingNurse INTEGER ) CREATE TABLE Nurse ( EmployeeID INTEGER, Name VARCHAR(30), Position VARCHAR(30), Registered BOOLEAN, SSN INTEGER ) CREATE TABLE Procedures ( Code INTEGER, Name VARCHAR(30), Cost REAL ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are names of patients who made an appointment, and count them by a bar chart, I want to rank by the Y in desc.
SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Patient AS T2 ON T1.Patient = T2.SSN GROUP BY Name ORDER BY COUNT(Name) DESC
nvbench
CREATE TABLE table_46432 ( "Club" text, "Location" text, "Current manager" text, "Team captain" text, "Stadium" text, "Capacity" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who is the team captain of Regenboogstadion?
SELECT "Team captain" FROM table_46432 WHERE "Stadium" = 'regenboogstadion'
wikisql
CREATE TABLE table_name_6 ( total INTEGER, gold VARCHAR, silver VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the least total when there are more than 2 golds and fewer than 0 silver?
SELECT MIN(total) FROM table_name_6 WHERE gold > 2 AND silver < 0
sql_create_context
CREATE TABLE table_47903 ( "Round" real, "Pick" real, "Overall" real, "Name" text, "Position" text, "College" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the college when the overall is more than 76 for brian mitchell?
SELECT "College" FROM table_47903 WHERE "Overall" > '76' AND "Name" = 'brian mitchell'
wikisql
CREATE TABLE table_38130 ( "Date" text, "City" text, "Opponent" text, "Results\u00b9" text, "Type of game" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- On what Date were the Results 4:0?
SELECT "Date" FROM table_38130 WHERE "Results\u00b9" = '4:0'
wikisql
CREATE TABLE Student_Addresses ( student_id INTEGER, address_id INTEGER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental DECIMAL(19,4), other_details VARCHAR(255) ) CREATE TABLE 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 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 Addresses ( address_id INTEGER, line_1 VARCHAR(120), line_2 VARCHAR(120), line_3 VARCHAR(120), city VARCHAR(80), zip_postcode VARCHAR(20), state_province_county VARCHAR(50), country VARCHAR(50), other_address_details VARCHAR(255) ) CREATE TABLE Ref_Address_Types ( address_type_code VARCHAR(15), address_type_description VARCHAR(80) ) CREATE TABLE Ref_Incident_Type ( incident_type_code VARCHAR(10), incident_type_description VARCHAR(80) ) 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 ( 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 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 Ref_Detention_Type ( detention_type_code VARCHAR(10), detention_type_description VARCHAR(80) ) CREATE TABLE Students_in_Detention ( student_id INTEGER, detention_id INTEGER, incident_id INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Return a bar chart about the distribution of date_address_to and the amount of date_address_to bin date_address_to by time.
SELECT date_address_to, COUNT(date_address_to) FROM Student_Addresses ORDER BY monthly_rental DESC
nvbench
CREATE TABLE table_27537518_6 ( decision VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who made the decision in the game played on December 26?
SELECT decision FROM table_27537518_6 WHERE date = "December 26"
sql_create_context
CREATE TABLE mzjzjlb_jybgb ( YLJGDM_MZJZJLB text, BGDH number, YLJGDM number ) CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_ZYJZJLB text ) CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 从2000年9月28日到2007年1月25日这段时间内患者奚霞辉所有检验结果指标记录中的仪器编号以及名称都是啥?
SELECT jyjgzbb.YQBH, jyjgzbb.YQMC FROM person_info JOIN hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN mzjzjlb_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 = mzjzjlb_jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH AND mzjzjlb_jybgb.YLJGDM = jybgb.YLJGDM AND mzjzjlb_jybgb.BGDH = jybgb.BGDH WHERE person_info.XM = '奚霞辉' AND jyjgzbb.JYRQ BETWEEN '2000-09-28' AND '2007-01-25' UNION SELECT jyjgzbb.YQBH, jyjgzbb.YQMC FROM person_info JOIN hz_info JOIN zyjzjlb JOIN jybgb JOIN jyjgzbb ON person_info.RYBH = hz_info.RYBH AND hz_info.YLJGDM = zyjzjlb.YLJGDM AND hz_info.KH = zyjzjlb.KH AND hz_info.KLX = zyjzjlb.KLX AND zyjzjlb.YLJGDM = jybgb.YLJGDM_ZYJZJLB AND zyjzjlb.JZLSH = jybgb.JZLSH_ZYJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE person_info.XM = '奚霞辉' AND jyjgzbb.JYRQ BETWEEN '2000-09-28' AND '2007-01-25'
css
CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For those employees who did not have any job in the past, return a bar chart about the distribution of hire_date and the sum of manager_id bin hire_date by time, list y-axis in desc order.
SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(MANAGER_ID) DESC
nvbench
CREATE TABLE table_name_93 ( release_date VARCHAR, title VARCHAR, production_number VARCHAR, director VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the release date of the episode named Mouse-Placed Kitten with an episode number less than 1495 directed by Robert McKimson?
SELECT release_date FROM table_name_93 WHERE production_number < 1495 AND director = "robert mckimson" AND title = "mouse-placed kitten"
sql_create_context
CREATE TABLE table_1652 ( "Season" text, "Series" text, "Team Name" text, "Races" real, "Poles" real, "Wins" real, "Points" real, "Final Placing" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which team started 2010?
SELECT "Team Name" FROM table_1652 WHERE "Season" = '2010'
wikisql
CREATE TABLE table_27704187_2 ( high_assists VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who had the most assists and how many did they have on October 5?
SELECT high_assists FROM table_27704187_2 WHERE date = "October 5"
sql_create_context
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, RYBH text, YLJGDM text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE 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 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 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 在医院6798205的科室名中有手外科几个字的就诊科室的门诊中,有哪些是患者96787952的就诊记录流水号
SELECT txmzjzjlb.JZLSH FROM hz_info JOIN txmzjzjlb ON hz_info.YLJGDM = txmzjzjlb.YLJGDM AND hz_info.KH = txmzjzjlb.KH AND hz_info.KLX = txmzjzjlb.KLX WHERE hz_info.RYBH = '96787952' AND hz_info.YLJGDM = '6798205' AND txmzjzjlb.JZKSMC LIKE '%手外科%' UNION SELECT ftxmzjzjlb.JZLSH FROM hz_info JOIN ftxmzjzjlb ON hz_info.YLJGDM = ftxmzjzjlb.YLJGDM AND hz_info.KH = ftxmzjzjlb.KH AND hz_info.KLX = ftxmzjzjlb.KLX WHERE hz_info.RYBH = '96787952' AND hz_info.YLJGDM = '6798205' AND ftxmzjzjlb.JZKSMC LIKE '%手外科%'
css
CREATE TABLE table_255829_1 ( population__2010_ VARCHAR, no_of_barangays VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the 2010 population of the municipality with 31 barangays?
SELECT population__2010_ FROM table_255829_1 WHERE no_of_barangays = 31
sql_create_context
CREATE TABLE table_name_87 ( competition VARCHAR, result VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the competition when the result is won and the date is september 13, 1996?
SELECT competition FROM table_name_87 WHERE result = "won" AND date = "september 13, 1996"
sql_create_context
CREATE TABLE table_56736 ( "Player" text, "Overs" text, "Runs" text, "Wkts" text, "Mdns" text, "Econ" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Tell me the player with econ of 4.23
SELECT "Player" FROM table_56736 WHERE "Econ" = '4.23'
wikisql
CREATE TABLE table_32534 ( "Week" text, "Kickoff" text, "Date" text, "Opponent" text, "Result" text, "Record" text, "Game site" text, "Attendance" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- When was the kickoff time of the SB XXXVI?
SELECT "Kickoff" FROM table_32534 WHERE "Week" = 'sb xxxvi'
wikisql
CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId 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 ) CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number ) CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other ) CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE PostTypes ( Id number, Name 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 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 ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Users with most Edits per Post.
WITH Edits AS (SELECT RANK() OVER (ORDER BY COUNT(*) DESC) AS Rank, UserId AS "user_link", COUNT(*) AS NumRevisions FROM PostHistory WHERE PostHistoryTypeId BETWEEN 4 AND 9 GROUP BY UserId) SELECT Rank, 'user_link', NumRevisions FROM Edits WHERE Rank < 100 OR 'user_link' = '##UserID##' ORDER BY Rank
sede
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 ) 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 male patients have private health insurance?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.insurance = "Private"
mimicsql_data
CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- was any of the organisms found in patient 031-1337's last urine, catheter specimen test?
SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-1337')) AND microlab.culturesite = 'urine, catheter specimen' ORDER BY microlab.culturetakentime DESC LIMIT 1
eicu
CREATE TABLE table_2296507_1 ( stellar_age__myr_ VARCHAR, stellar_classification VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the stellar age for f3v
SELECT stellar_age__myr_ FROM table_2296507_1 WHERE stellar_classification = "F3V"
sql_create_context
CREATE TABLE acceptance ( Result VARCHAR, Submission_ID VARCHAR ) CREATE TABLE submission ( Author VARCHAR, Submission_ID VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Show the authors of submissions and the acceptance results of their submissions.
SELECT T2.Author, T1.Result FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID
sql_create_context
CREATE TABLE table_name_41 ( margin_of_victory VARCHAR, date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Margin of victory on aug 11, 2002?
SELECT margin_of_victory FROM table_name_41 WHERE date = "aug 11, 2002"
sql_create_context
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what number of patients were admitted in urgent care for poisoning by penicillins?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.long_title = "Poisoning by penicillins"
mimicsql_data
CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number ) CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- when did patient 73075 first have a laboratory test in 12/2104?
SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 73075) AND STRFTIME('%y-%m', labevents.charttime) = '2104-12' ORDER BY labevents.charttime LIMIT 1
mimic_iii
CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text, zyjzjlb_id number ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text ) CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE hz_info_zyjzjlb ( JZLSH number, YLJGDM number, zyjzjlb_id number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 患者53796219为疾病L85.935,门诊诊断的D2聚体(柠檬酸盐)的结果定量及其单位数据均为?
SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb ON hz_info.YLJGDM = mzjzjlb.YLJGDM AND hz_info.KH = mzjzjlb.KH AND hz_info.KLX = mzjzjlb.KLX AND mzjzjlb.YLJGDM = jybgb.YLJGDM_MZJZJLB AND mzjzjlb.JZLSH = jybgb.JZLSH_MZJZJLB AND jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE mzjzjlb.JZZDBM = 'L85.935' AND hz_info.RYBH = '53796219' AND jyjgzbb.JCZBMC = 'D2聚体(柠檬酸盐)'
css
CREATE TABLE table_32570 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the sum of week(s) with an attendance of 30,751?
SELECT SUM("Week") FROM table_32570 WHERE "Attendance" = '30,751'
wikisql
CREATE TABLE table_name_56 ( money___ INTEGER, to_par VARCHAR, score VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which money is the highest one that has a To par of 1, and a Score of 73-70-73-71=287?
SELECT MAX(money___) AS $__ FROM table_name_56 WHERE to_par = "–1" AND score = 73 - 70 - 73 - 71 = 287
sql_create_context
CREATE TABLE table_name_72 ( result VARCHAR, opponent VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which result featured the Indianapolis Colts as opponents?
SELECT result FROM table_name_72 WHERE opponent = "indianapolis colts"
sql_create_context
CREATE TABLE table_name_32 ( Id VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- In the Tournament during which Ji Nov k made it to the 1st round(1R) in 1995, how did he do in 2001?
SELECT 2001 FROM table_name_32 WHERE 1995 = "1r"
sql_create_context
CREATE TABLE requirement ( requirement_id int, requirement varchar, college 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 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 student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE area ( course_id int, area varchar ) CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE gsi ( course_offering_id int, student_id int ) 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 offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar ) CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar ) CREATE TABLE course ( 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_prerequisite ( pre_course_id int, course_id int ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Can ARABIC 201 count as Other ?
SELECT COUNT(*) > 0 FROM course, program, program_course WHERE course.department = 'ARABIC' AND course.number = 201 AND program_course.category LIKE '%Other%' AND program_course.course_id = course.course_id AND program.name LIKE '%CS-LSA%' AND program.program_id = program_course.program_id
advising
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 Allergy_Type ( Allergy VARCHAR(20), AllergyType VARCHAR(20) ) CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what are the allergy types and how many allergies correspond to each one?, could you display in desc by the Y-axis please?
SELECT AllergyType, COUNT(*) FROM Allergy_Type GROUP BY AllergyType ORDER BY COUNT(*) DESC
nvbench
CREATE TABLE table_21264 ( "Athlete" text, "Event" text, "Swim (1.5km)" text, "Trans 1" text, "Bike (40km)" text, "Trans 2" text, "Run (10km)" text, "Total Time" text, "Rank" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the duration of Daniela Ryf's swimming stage?
SELECT "Swim (1.5km)" FROM table_21264 WHERE "Athlete" = 'Daniela Ryf'
wikisql
CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE 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 transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE 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 microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name 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 labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what was the number of drugs patient 30509 was prescribed until 1 year ago?
SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30509) AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-1 year')
mimic_iii
CREATE TABLE table_name_79 ( winner VARCHAR, tier VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- When the Tier is listed as tier iii, who is the Winner?
SELECT winner FROM table_name_79 WHERE tier = "tier iii"
sql_create_context
CREATE TABLE table_22941863_19 ( mountains_classification VARCHAR, winner VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the mountain classification name if the winner is Bernhard Eisel?
SELECT mountains_classification FROM table_22941863_19 WHERE winner = "Bernhard Eisel"
sql_create_context
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) 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. -- what is the number of patients whose insurance is private and procedure short title is remov biliary/liver tube?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.short_title = "Remov biliary/liver tube"
mimicsql_data
CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId 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 FlagTypes ( Id number, Name text, Description text ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE PostTypes ( Id number, Name text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Comments moved to chat in the last 90 days.
SELECT COUNT(*) AS threads FROM Comments WHERE Text LIKE 'Comments are not for extended discussion%' AND CreationDate > CURRENT_TIMESTAMP() - '##days?90##'
sede
CREATE TABLE player_award_vote ( award_id text, year number, league_id text, player_id text, points_won number, points_max number, votes_first text ) CREATE TABLE player ( player_id text, birth_year text, birth_month text, birth_day text, birth_country text, birth_state text, birth_city text, death_year text, death_month text, death_day text, death_country text, death_state text, death_city text, name_first text, name_last text, name_given text, weight text ) CREATE TABLE player_award ( player_id text, award_id text, year number, league_id text, tie text, notes text ) CREATE TABLE salary ( year number, team_id text, league_id text, player_id text, salary number ) CREATE TABLE hall_of_fame ( player_id text, yearid number, votedby text, ballots text, needed text, votes text, inducted text, category text, needed_note text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How much points were received by the NL league's most valuable player winner in 1990?
SELECT T2.points_won FROM player_award AS T1 JOIN player_award_vote AS T2 ON T1.player_id = T2.player_id WHERE T1.league_id = "NL" AND T1.award_id = "Most Valuable Player" AND T1.year = "1990" AND T2.league_id = "NL" AND T2.year = "1990"
thehistoryofbaseball
CREATE TABLE table_9154 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Place of the Player with a To par of +4 and Score of 70-76-71=217?
SELECT "Place" FROM table_9154 WHERE "To par" = '+4' AND "Score" = '70-76-71=217'
wikisql
CREATE TABLE table_name_75 ( position VARCHAR, nationality VARCHAR, player VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What position did Jimmy Oliver of the United States play?
SELECT position FROM table_name_75 WHERE nationality = "united states" AND player = "jimmy oliver"
sql_create_context
CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time ) CREATE TABLE 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 procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what was the first time that patient 95986 had the maximum value of metamyelocytes in 05/2105?
SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 95986) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'metamyelocytes') AND STRFTIME('%y-%m', labevents.charttime) = '2105-05' ORDER BY labevents.valuenum DESC, labevents.charttime LIMIT 1
mimic_iii
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_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, 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 参保人水建茗10元以内小金额结算次数有多少,时间是在13年3月5日到16年1月7日内
SELECT COUNT(*) FROM t_kc24 WHERE t_kc24.t_kc21_PERSON_NM = '水建茗' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2013-03-05' AND '2016-01-07' AND t_kc24.MED_AMOUT <= 10
css
CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE 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 patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- have patient 012-40970's been normal until 56 months ago in respiration?
SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-40970')) AND vitalperiodic.respiration BETWEEN respiration_lower AND respiration_upper AND NOT vitalperiodic.respiration IS NULL AND DATETIME(vitalperiodic.observationtime) <= DATETIME(CURRENT_TIME(), '-56 month')
eicu
CREATE TABLE table_name_93 ( winning_score VARCHAR, margin_of_victory VARCHAR, tournament VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the winning score with a margin of victory of 4 strokes for the NEC Invitational tournament?
SELECT winning_score FROM table_name_93 WHERE margin_of_victory = "4 strokes" AND tournament = "nec invitational"
sql_create_context
CREATE TABLE table_10308 ( "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 date was the game played at Princes Park?
SELECT "Date" FROM table_10308 WHERE "Venue" = 'princes park'
wikisql
CREATE TABLE table_23963781_3 ( position VARCHAR, nationality VARCHAR, minutes VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the position of the player who is from the United States and has 30 minutes?
SELECT position FROM table_23963781_3 WHERE nationality = "United States" AND minutes = 30
sql_create_context
CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE PostTags ( PostId number, TagId number ) 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 PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE PostHistoryTypes ( Id number, Name 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 ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE ReviewTaskStates ( 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 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 FlagTypes ( Id number, Name text, Description text ) CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Closed Questions with -2 score or less..
SELECT q.Score AS Score, q.Id AS "post_link", CASE h.Comment WHEN '1' THEN 'Exact Duplicate' WHEN '2' THEN 'Off-topic' WHEN '3' THEN 'Subjective and argumentative' WHEN '4' THEN 'Not a real question' WHEN '7' THEN 'Too localized' WHEN '10' THEN 'General reference' WHEN '20' THEN 'Noise or pointless (Meta sites only)' WHEN '101' THEN 'Duplicate' WHEN '102' THEN 'Off-topic' WHEN '103' THEN 'Unclear what you''re asking' WHEN '104' THEN 'Too broad' WHEN '105' THEN 'Primarily opinion-based' END AS "close_reason", q.ClosedDate FROM Posts AS q INNER JOIN PostHistory AS h ON q.Id = h.PostId WHERE q.Score < -2 AND NOT q.ClosedDate IS NULL ORDER BY q.Score DESC
sede
CREATE TABLE table_204_823 ( id number, "dates" text, "location" text, "attendance" text, "official guests" text, "notes" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what was the first year the event was held at the pick congress hotel in chicago ?
SELECT MIN("dates") FROM table_204_823 WHERE "location" = 'chicago'
squall
CREATE TABLE table_name_72 ( theme VARCHAR, issue_price VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the theme when the issue price was $508.95?
SELECT theme FROM table_name_72 WHERE issue_price = "$508.95"
sql_create_context
CREATE TABLE table_16893837_4 ( date VARCHAR, opponents VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the date for margalita chakhnashvili salome devidze
SELECT date FROM table_16893837_4 WHERE opponents = "Margalita Chakhnashvili Salome Devidze"
sql_create_context
CREATE TABLE table_71410 ( "Week" real, "Date" text, "Opponent" text, "Score" text, "Result" text, "Attendance" text, "Record" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the record of the opponent that has a bye?
SELECT "Record" FROM table_71410 WHERE "Opponent" = 'bye'
wikisql
CREATE TABLE table_name_37 ( laps VARCHAR, time_retired VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many laps are associated with a time of + 1:39.591?
SELECT laps FROM table_name_37 WHERE time_retired = "+ 1:39.591"
sql_create_context
CREATE TABLE table_36610 ( "Weight Division" text, "Winner" text, "Loser" text, "Method" text, "Round" real, "Time" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who was the loser of the heavyweight division fight that lasted a time of 2:24?
SELECT "Loser" FROM table_36610 WHERE "Weight Division" = 'heavyweight' AND "Time" = '2:24'
wikisql
CREATE TABLE table_48606 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What score did Ed Furgol get to come in at T6?
SELECT "Score" FROM table_48606 WHERE "Place" = 't6' AND "Player" = 'ed furgol'
wikisql
CREATE TABLE table_name_61 ( season VARCHAR, team VARCHAR, wins VARCHAR, losses VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which season had 0 wins and 5 losses for the Surrey team?
SELECT season FROM table_name_61 WHERE wins = "0" AND losses = "5" AND team = "surrey"
sql_create_context
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- get me the number of patients diagnosed with diverticulosis of colon with hemorrhage who had blood fluid lab test.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Diverticulosis of colon with hemorrhage" AND lab.fluid = "Blood"
mimicsql_data
CREATE TABLE table_58261 ( "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 home team score at VFL Park?
SELECT "Home team score" FROM table_58261 WHERE "Venue" = 'vfl park'
wikisql
CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE 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 allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what was the first value of the sao2 of patient 030-8973 on 12/28/2104?
SELECT vitalperiodic.sao2 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-8973')) AND NOT vitalperiodic.sao2 IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) = '2104-12-28' ORDER BY vitalperiodic.observationtime LIMIT 1
eicu
CREATE TABLE table_2012187_1 ( wins VARCHAR, top_10 VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- state the wins of the team with 2 top 10
SELECT COUNT(wins) FROM table_2012187_1 WHERE top_10 = 2
sql_create_context