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CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- when did patient 031-15666 get the microbiology test, for the last time since 09/2104?
SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-15666')) AND STRFTIME('%y-%m', microlab.culturetakentime) >= '2104-09' ORDER BY microlab.culturetakentime DESC LIMIT 1
eicu
CREATE TABLE table_name_95 ( club VARCHAR, league_division VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What club has a league/division of fourth division?
SELECT club FROM table_name_95 WHERE league_division = "fourth division"
sql_create_context
CREATE TABLE geographic ( city_name varchar, county varchar, region varchar ) CREATE TABLE restaurant ( id int, name varchar, food_type varchar, city_name varchar, rating "decimal ) CREATE TABLE location ( restaurant_id int, house_number int, street_name varchar, city_name varchar ) -- Using valid SQLite, answer the following questions for the tables provided above. -- give me some good restaurants in alameda ?
SELECT location.house_number, restaurant.name FROM location, restaurant WHERE location.city_name = 'alameda' AND restaurant.id = location.restaurant_id AND restaurant.rating > 2.5
restaurants
CREATE TABLE table_261906_2 ( institution VARCHAR, location VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What institution(s) are located in wilkes-barre, pennsylvania?
SELECT institution FROM table_261906_2 WHERE location = "Wilkes-Barre, Pennsylvania"
sql_create_context
CREATE TABLE table_54543 ( "Pick #" real, "Player" text, "Nationality" text, "Position" text, "League from" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which league has a pick number larger than 204 from Canada and LW as the position?
SELECT "League from" FROM table_54543 WHERE "Pick #" > '204' AND "Nationality" = 'canada' AND "Position" = 'lw'
wikisql
CREATE TABLE table_21015 ( "Model number" text, "sSpec number" text, "Frequency" text, "GPU frequency" text, "L2 cache" text, "I/O bus" text, "Memory" text, "Voltage" text, "TDP" text, "Socket" text, "Release date" text, "Part number(s)" text, "Release price ( USD )" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For a processor with model number atom e665c and a TDP of 3.6 W, what is the sSpec number?
SELECT "sSpec number" FROM table_21015 WHERE "TDP" = '3.6 W' AND "Model number" = 'Atom E665C'
wikisql
CREATE TABLE table_66292 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the to par for japan
SELECT "To par" FROM table_66292 WHERE "Country" = 'japan'
wikisql
CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE 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 hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) CREATE TABLE mzjzjlb_jybgb ( YLJGDM_MZJZJLB text, BGDH number, YLJGDM number ) CREATE TABLE jybgb ( BBCJBW text, BBDM text, BBMC text, BBZT number, BGDH text, BGJGDM text, BGJGMC text, BGRGH text, BGRQ time, BGRXM text, BGSJ time, CJRQ time, JSBBRQSJ time, JSBBSJ time, JYBBH text, JYJGMC text, JYJSGH text, JYJSQM text, JYKSBM text, JYKSMC text, JYLX number, JYRQ time, JYSQJGMC text, JYXMDM text, JYXMMC text, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, SQRGH text, SQRQ time, SQRXM text, YLJGDM text, YLJGDM_ZYJZJLB text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 90835300患者被门诊诊断为急性精神分裂症样精神病性障碍,查看检测中三碘甲状腺原氨酸的结果定量及其单位
SELECT jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM hz_info JOIN mzjzjlb JOIN jybgb JOIN jyjgzbb JOIN mzjzjlb_jybgb ON 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 mzjzjlb.JZZDSM = '急性精神分裂症样精神病性障碍' AND hz_info.RYBH = '90835300' AND jyjgzbb.JCZBMC = '三碘甲状腺原氨酸'
css
CREATE TABLE table_name_96 ( december INTEGER, points VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which December is the lowest one that has Points of 52?
SELECT MIN(december) FROM table_name_96 WHERE points = 52
sql_create_context
CREATE TABLE table_17382360_9 ( high_rebounds VARCHAR, score VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who had the high rebounds in the game with a final score of w 140-108?
SELECT high_rebounds FROM table_17382360_9 WHERE score = "W 140-108"
sql_create_context
CREATE TABLE table_67547 ( "Date" text, "Opponent" text, "Score" text, "Loss" text, "Attendance" real, "Record" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which score has a Date of august 17?
SELECT "Score" FROM table_67547 WHERE "Date" = 'august 17'
wikisql
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 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 class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE fare_basis ( fare_basis_code text, booking_class text, class_type text, premium text, economy text, discounted text, night text, season text, basis_days text ) CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE fare ( fare_id int, from_airport varchar, to_airport varchar, fare_basis_code text, fare_airline text, restriction_code text, one_direction_cost int, round_trip_cost int, round_trip_required varchar ) CREATE TABLE state ( state_code text, state_name text, country_name text ) CREATE TABLE days ( days_code varchar, day_name varchar ) CREATE TABLE flight ( aircraft_code_sequence text, airline_code varchar, airline_flight text, arrival_time int, connections int, departure_time int, dual_carrier text, flight_days text, flight_id int, flight_number int, from_airport varchar, meal_code text, stops int, time_elapsed int, to_airport varchar ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar ) CREATE TABLE code_description ( code varchar, description text ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar ) CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- show me all the US flights leaving PITTSBURGH between 1200 and 1600 in the afternoon
SELECT DISTINCT flight.flight_id FROM airport_service, city, flight WHERE ((flight.departure_time <= 1600 AND flight.departure_time >= 1200) AND city.city_code = airport_service.city_code AND city.city_name = 'PITTSBURGH' AND flight.from_airport = airport_service.airport_code) AND flight.airline_code = 'US'
atis
CREATE TABLE table_name_89 ( losses INTEGER, goals_for VARCHAR, points VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What were the highest losses when the goal was smaller than 45 and the points was smaller than 18?
SELECT MAX(losses) FROM table_name_89 WHERE goals_for < 45 AND points < 18
sql_create_context
CREATE TABLE table_name_57 ( number_of_electorates__2009_ VARCHAR, name VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the total number of electorates (2009) for Katol?
SELECT COUNT(number_of_electorates__2009_) FROM table_name_57 WHERE name = "katol"
sql_create_context
CREATE TABLE table_name_86 ( home_team VARCHAR, tie_no VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What home team had 2 ties?
SELECT home_team FROM table_name_86 WHERE tie_no = "2"
sql_create_context
CREATE TABLE zyjzjlb_jybgb ( YLJGDM_ZYJZJLB text, BGDH number, YLJGDM number ) CREATE TABLE hz_info ( KH text, KLX number, RYBH text, YLJGDM text ) CREATE TABLE jyjgzbb ( BGDH text, BGRQ time, CKZFWDX text, CKZFWSX number, CKZFWXX number, JCFF text, JCRGH text, JCRXM text, JCXMMC text, JCZBDM text, JCZBJGDL number, JCZBJGDW text, JCZBJGDX text, JCZBMC text, JLDW text, JYRQ time, JYZBLSH text, SBBM text, SHRGH text, SHRXM text, YLJGDM text, YQBH text, YQMC text ) CREATE TABLE person_info ( CSD text, CSRQ time, GJDM text, GJMC text, JGDM text, JGMC text, MZDM text, MZMC text, RYBH text, XBDM number, XBMC text, XLDM text, XLMC text, XM text, ZYLBDM text, ZYMC text ) CREATE TABLE zyjzjlb ( CYBQDM text, CYBQMC text, CYCWH text, CYKSDM text, CYKSMC text, CYSJ time, CYZTDM number, HZXM text, JZKSDM text, JZKSMC text, JZLSH text, KH text, KLX number, MZBMLX number, MZJZLSH text, MZZDBM text, MZZDMC text, MZZYZDZZBM text, RYCWH text, RYDJSJ time, RYSJ time, RYTJDM number, RYTJMC text, RZBQDM text, RZBQMC text, WDBZ number, YLJGDM text, ZYBMLX number, ZYZDBM text, ZYZDMC text, ZYZYZDZZBM text, ZYZYZDZZMC text ) CREATE TABLE mzjzjlb ( HXPLC number, HZXM text, JLSJ time, JZJSSJ time, JZKSBM text, JZKSMC text, JZKSRQ time, JZLSH text, JZZDBM text, JZZDSM text, JZZTDM number, JZZTMC text, KH text, KLX number, MJZH text, ML number, MZZYZDZZBM text, MZZYZDZZMC text, NLS number, NLY number, QTJZYSGH text, SG number, SSY number, SZY number, TW number, TXBZ number, TZ number, WDBZ number, XL number, YLJGDM text, ZSEBZ number, ZZBZ number, ZZYSGH text ) CREATE TABLE 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 对应的检验报告单46227016809的就诊流水号是什么?
SELECT jybgb.JZLSH FROM jybgb WHERE jybgb.BGDH = '46227016809'
css
CREATE TABLE Course_Authors_and_Tutors ( author_id INTEGER, author_tutor_ATB VARCHAR(3), login_name VARCHAR(40), password VARCHAR(40), personal_name VARCHAR(80), middle_name VARCHAR(80), family_name VARCHAR(80), gender_mf VARCHAR(1), address_line_1 VARCHAR(80) ) CREATE TABLE Student_Tests_Taken ( registration_id INTEGER, date_test_taken DATETIME, test_result VARCHAR(255) ) CREATE TABLE Students ( student_id INTEGER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR(40), password VARCHAR(10), personal_name VARCHAR(40), middle_name VARCHAR(40), family_name VARCHAR(40) ) CREATE TABLE Subjects ( subject_id INTEGER, subject_name VARCHAR(120) ) CREATE TABLE Student_Course_Enrolment ( registration_id INTEGER, student_id INTEGER, course_id INTEGER, date_of_enrolment DATETIME, date_of_completion DATETIME ) CREATE TABLE Courses ( course_id INTEGER, author_id INTEGER, subject_id INTEGER, course_name VARCHAR(120), course_description VARCHAR(255) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- A bar chart shows the distribution of middle_name and author_id .
SELECT middle_name, author_id FROM Course_Authors_and_Tutors ORDER BY personal_name
nvbench
CREATE TABLE table_name_58 ( date VARCHAR, record VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- with a record of 73-82 what was the date?
SELECT date FROM table_name_58 WHERE record = "73-82"
sql_create_context
CREATE TABLE table_80239 ( "Year" real, "Entrant" text, "Chassis" text, "Engine" text, "Points" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many points for the cooper car company after 1959?
SELECT SUM("Points") FROM table_80239 WHERE "Entrant" = 'cooper car company' AND "Year" > '1959'
wikisql
CREATE TABLE table_26754 ( "Year" real, "Tournaments played" real, "Cuts made" real, "Wins" real, "2nd" real, "3rd" real, "Top 10s" real, "Best finish" text, "Earnings ($)" real, "Money list rank" real, "Scoring average" text, "Scoring rank" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the lowest overall money list rank?
SELECT MIN("Money list rank") FROM table_26754
wikisql
CREATE TABLE table_23557 ( "Year" real, "Starts" real, "Wins" real, "Top 10" real, "Poles" real, "Avg. Start" text, "Avg. Finish" text, "Winnings" text, "Position" text, "Team(s)" text ) -- 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_23557 WHERE "Top 10" = '2'
wikisql
CREATE TABLE table_test_31 ( "id" int, "ejection_fraction_ef" int, "macular_disease" bool, "systemic" bool, "alt" float, "iud" bool, "condom_with_spermicide" bool, "gender" string, "meropenem" bool, "non_q_wave_myocardial_infarction" bool, "hbcab" bool, "unstable_angina" bool, "birth_control_pills" bool, "cystic_fibrosis" bool, "hbv_surface_antigen_hbsag" bool, "oocytes" int, "severe_dry_eyes" bool, "afc" int, "morphological_characteristics" bool, "ovarian_reserve_test" bool, "atherectomy" bool, "hiv_infection" bool, "hormonal_contraceptives" bool, "mellitus" bool, "poor_ovarian_responder" bool, "recurrent_heart_pain" bool, "ast" float, "piperacillin" bool, "coronary_conduit" bool, "diabetic" string, "elective" bool, "ciprofloxacin" bool, "colistin" bool, "central_vision" bool, "serological_tests" bool, "inhaled_corticosteroids" bool, "angina" bool, "surgical_sterilization" bool, "retinal_disease" bool, "hcv_ab" bool, "high_risk_clinical" bool, "advanced_maternal_age" bool, "antibiotic_treatment" bool, "adequate_contraception" bool, "uveitis_disease" bool, "unprotected_left_main_coronary_artery" bool, "ovarian_response" bool, "acute_q_wave_myocardial_infarction" bool, "urgent_coronary_balloon_angioplasty" bool, "asthma" bool, "serum_creatinine" float, "intrauterine_device" bool, "kidney_disease" bool, "spermicide" bool, "fda_approved_device" bool, "anti_hepatitis_c_virus_hcv_antibody" bool, "active_scleral_disease" bool, "barrier_methods" bool, "tazobactam" bool, "glaucoma" bool, "cefepime" bool, "depo_provera" bool, "organ_failure" bool, "dysthyroid_eye_disease" bool, "peripheral_arterial_disease" bool, "cerebral_infarction" bool, "anti_hepatitis_b_core_antibody" bool, "hypertension" bool, "bilirubin" float, "risk_factor" bool, "myocardial_infarction" bool, "lupron_depot" bool, "ocular" bool, "age" float, "linezolid" bool, "NOUSE" float ) -- Using valid SQLite, answer the following questions for the tables provided above. -- evidence of any of the following indicators of end _ organ dysfunction: total bilirubin > 4 mg / dl, alt / ast > 3 times upper limit normal, serum creatinine > 3.5 mg / dl.
SELECT * FROM table_test_31 WHERE organ_failure = 1 OR (bilirubin > 4 OR alt > 3 OR ast > 3 OR serum_creatinine > 3.5)
criteria2sql
CREATE TABLE table_2024 ( "Discipline" text, "Degree/Diploma" text, "Total Seats" real, "Recognised Seats" real, "Permitted Seats" real ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the recognised seats for pharmacology
SELECT "Recognised Seats" FROM table_2024 WHERE "Discipline" = 'Pharmacology'
wikisql
CREATE TABLE weather ( date TEXT, max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events TEXT, wind_dir_degrees INTEGER, zip_code INTEGER ) CREATE TABLE trip ( id INTEGER, duration INTEGER, start_date TEXT, start_station_name TEXT, start_station_id INTEGER, end_date TEXT, end_station_name TEXT, end_station_id INTEGER, bike_id INTEGER, subscription_type TEXT, zip_code INTEGER ) CREATE TABLE station ( id INTEGER, name TEXT, lat NUMERIC, long NUMERIC, dock_count INTEGER, city TEXT, installation_date TEXT ) CREATE TABLE status ( station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time TEXT ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what are the ids and names of all start stations that were the beginning of at least 200 trips?
SELECT start_station_name, start_station_id FROM trip
nvbench
CREATE TABLE table_name_31 ( stadium VARCHAR, year INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the stadium past 2012?
SELECT stadium FROM table_name_31 WHERE year > 2012
sql_create_context
CREATE TABLE table_name_73 ( chassis VARCHAR, engine VARCHAR, points VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What company made the chassis when Ferrari made the engine and there were 25 points?
SELECT chassis FROM table_name_73 WHERE engine = "ferrari" AND points = 25
sql_create_context
CREATE TABLE table_name_12 ( total_population VARCHAR, male INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the total population with less than 789 males?
SELECT COUNT(total_population) FROM table_name_12 WHERE male < 789
sql_create_context
CREATE TABLE table_name_96 ( closure_date VARCHAR, on_air_date VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- When was the ensemble closed that went on air in June 2003?
SELECT closure_date FROM table_name_96 WHERE on_air_date = "june 2003"
sql_create_context
CREATE TABLE table_78415 ( "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 did carlton score while away?
SELECT "Away team score" FROM table_78415 WHERE "Away team" = 'carlton'
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 demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is gender and admission time of subject id 26285?
SELECT demographic.gender, demographic.admittime FROM demographic WHERE demographic.subject_id = "26285"
mimicsql_data
CREATE TABLE table_name_20 ( date VARCHAR, home_team VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- On what date did Collingwood play at home?
SELECT date FROM table_name_20 WHERE home_team = "collingwood"
sql_create_context
CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time ) CREATE TABLE 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 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 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 ) 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 treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- patient 027-53836 had received a procedure?
SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-53836'))
eicu
CREATE TABLE department_stores ( dept_store_id number, dept_store_chain_id number, store_name text, store_address text, store_phone text, store_email text ) CREATE TABLE addresses ( address_id number, address_details text ) CREATE TABLE customers ( customer_id number, payment_method_code text, customer_code text, customer_name text, customer_address text, customer_phone text, customer_email text ) CREATE TABLE customer_addresses ( customer_id number, address_id number, date_from time, date_to time ) CREATE TABLE order_items ( order_item_id number, order_id number, product_id number ) CREATE TABLE departments ( department_id number, dept_store_id number, department_name text ) CREATE TABLE suppliers ( supplier_id number, supplier_name text, supplier_phone text ) CREATE TABLE staff ( staff_id number, staff_gender text, staff_name text ) CREATE TABLE supplier_addresses ( supplier_id number, address_id number, date_from time, date_to time ) CREATE TABLE department_store_chain ( dept_store_chain_id number, dept_store_chain_name text ) CREATE TABLE product_suppliers ( product_id number, supplier_id number, date_supplied_from time, date_supplied_to time, total_amount_purchased text, total_value_purchased number ) CREATE TABLE staff_department_assignments ( staff_id number, department_id number, date_assigned_from time, job_title_code text, date_assigned_to time ) CREATE TABLE products ( product_id number, product_type_code text, product_name text, product_price number ) CREATE TABLE customer_orders ( order_id number, customer_id number, order_status_code text, order_date time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the order ids and customer ids for orders that have been Cancelled, sorted by their order dates?
SELECT order_id, customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date
spider
CREATE TABLE table_7366 ( "Position" text, "Jersey #" real, "Name" text, "Height (cm)" real, "Weight (kg)" real, "Birthdate" text, "Birthplace" text, "1983\u20131984 Team" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What position has a height (cm) greater than 180, and brian lawton as the name?
SELECT "Position" FROM table_7366 WHERE "Height (cm)" > '180' AND "Name" = 'brian lawton'
wikisql
CREATE TABLE table_name_67 ( monarch VARCHAR, heir VARCHAR, reason VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who is the Monarch whose Heir is Robert Curthose when the Reason is that the father became king?
SELECT monarch FROM table_name_67 WHERE heir = "robert curthose" AND reason = "father became king"
sql_create_context
CREATE TABLE table_64071 ( "Province, Community" text, "Contestant" text, "Height" real, "Hometown" text, "Geographical Regions" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What contestant is from santo domingo este and has height smaller than 1.79?
SELECT "Contestant" FROM table_64071 WHERE "Height" < '1.79' AND "Hometown" = 'santo domingo este'
wikisql
CREATE TABLE table_26283 ( "Episode" text, "Director" text, "Writer" text, "Original air date" text, "Ratings (millions)" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the original air date if the ratings is 1.92 million?
SELECT "Original air date" FROM table_26283 WHERE "Ratings (millions)" = '1.92'
wikisql
CREATE TABLE MediaType ( MediaTypeId integer, Name varchar(120) ) CREATE TABLE Invoice ( InvoiceId integer, CustomerId integer, InvoiceDate datetime, BillingAddress varchar(70), BillingCity varchar(40), BillingState varchar(40), BillingCountry varchar(40), BillingPostalCode varchar(10), Total decimal(10,2) ) CREATE TABLE Genre ( GenreId integer, Name varchar(120) ) CREATE TABLE Track ( TrackId integer, Name varchar(200), AlbumId integer, MediaTypeId integer, GenreId integer, Composer varchar(220), Milliseconds integer, Bytes integer, UnitPrice decimal(10,2) ) CREATE TABLE Employee ( EmployeeId integer, LastName varchar(20), FirstName varchar(20), Title varchar(30), ReportsTo integer, BirthDate datetime, HireDate datetime, Address varchar(70), City varchar(40), State varchar(40), Country varchar(40), PostalCode varchar(10), Phone varchar(24), Fax varchar(24), Email varchar(60) ) CREATE TABLE Playlist ( PlaylistId integer, Name varchar(120) ) CREATE TABLE Artist ( ArtistId integer, Name varchar(120) ) CREATE TABLE Album ( AlbumId integer, Title varchar(160), ArtistId integer ) CREATE TABLE PlaylistTrack ( PlaylistId integer, TrackId integer ) CREATE TABLE InvoiceLine ( InvoiceLineId integer, InvoiceId integer, TrackId integer, UnitPrice decimal(10,2), Quantity integer ) CREATE TABLE Customer ( CustomerId integer, FirstName varchar(40), LastName varchar(20), Company varchar(80), Address varchar(70), City varchar(40), State varchar(40), Country varchar(40), PostalCode varchar(10), Phone varchar(24), Fax varchar(24), Email varchar(60), SupportRepId integer ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Show me a bar chart for what are the titles and ids for albums containing tracks with unit price greater than 1?, and list by the x axis in ascending.
SELECT T1.Title, T1.AlbumId FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId WHERE T2.UnitPrice > 1 ORDER BY T1.Title
nvbench
CREATE TABLE table_3333 ( "Settlement" text, "Cyrillic Name Other Names" text, "Type" text, "Population (2011)" real, "Largest ethnic group (2002)" text, "Dominant religion (2002)" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the largest ethnic group for kosan i
SELECT "Largest ethnic group (2002)" FROM table_3333 WHERE "Settlement" = 'Kosančić'
wikisql
CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many days have elapsed since patient 027-203413 received a last intake of enteral flush on the current icu visit?
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', intakeoutput.intakeoutputtime)) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-203413') AND patient.unitdischargetime IS NULL) AND intakeoutput.celllabel = 'enteral flush' AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1
eicu
CREATE TABLE paperkeyphrase ( paperid int, keyphraseid int ) CREATE TABLE paperfield ( fieldid int, paperid int ) CREATE TABLE venue ( venueid int, venuename varchar ) CREATE TABLE journal ( journalid int, journalname varchar ) CREATE TABLE cite ( citingpaperid int, citedpaperid int ) CREATE TABLE field ( fieldid int ) CREATE TABLE author ( authorid int, authorname varchar ) CREATE TABLE paperdataset ( paperid int, datasetid int ) CREATE TABLE keyphrase ( keyphraseid int, keyphrasename varchar ) CREATE TABLE paper ( paperid int, title varchar, venueid int, year int, numciting int, numcitedby int, journalid int ) CREATE TABLE writes ( paperid int, authorid int ) CREATE TABLE dataset ( datasetid int, datasetname varchar ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Who are Daphne Koller 's co-authors
SELECT DISTINCT AUTHOR_1.authorid FROM author AS AUTHOR_0, author AS AUTHOR_1, writes AS WRITES_0, writes AS WRITES_1 WHERE AUTHOR_0.authorname = 'Daphne Koller' AND WRITES_0.authorid = AUTHOR_0.authorid AND WRITES_1.authorid = AUTHOR_1.authorid AND WRITES_1.paperid = WRITES_0.paperid
scholar
CREATE TABLE table_204_144 ( id number, "represent" number, "contestant" text, "age" number, "height" text, "hometown" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many contestants were below 1.75 mts ?
SELECT COUNT("contestant") FROM table_204_144 WHERE "height" < 1.75
squall
CREATE TABLE table_10477224_1 ( sepal_length VARCHAR, sepal_width VARCHAR, petal_width VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the sepal lengh when sepal width is 2.9 and petal width 1.3
SELECT sepal_length FROM table_10477224_1 WHERE sepal_width = "2.9" AND petal_width = "1.3"
sql_create_context
CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE ReviewTaskTypes ( 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 PostTypes ( Id number, Name text ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- TOP 100 users from SAMARA. The top 100 users from Samara (ranked by reputation). Thanks to http://data.stackexchange.com/stackoverflow/query/60933/top-50-users-from-india
SELECT Id, CAST(TIME_TO_STR(CreationDate, '%d %b %Y') AS TEXT(11)) AS "Member since", DisplayName, Reputation, WebsiteUrl FROM Users WHERE Location LIKE '%Samara%' ORDER BY Reputation DESC LIMIT 100
sede
CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text ) CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time ) CREATE TABLE 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 diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text ) CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time ) CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number ) CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time ) CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time ) CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what are the four most commonly prescribed medications for patients for whom docusate sodium (colace) cap 100 mg is also prescribed at the same time, until 2104?
SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'docusate sodium (colace) cap 100 mg' AND STRFTIME('%y', medication.drugstarttime) <= '2104') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', medication.drugstarttime) <= '2104') AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 4
eicu
CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE 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 ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) 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 CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE 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 Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Users with lots of poor-scoring answers. Specify maximum answer score and minimum number of answers
SELECT OwnerUserId AS "user_link", (SELECT COUNT(*) FROM Posts AS p WHERE p.OwnerUserId = Posts.OwnerUserId AND Score <= @ScoreThreshold AND PostTypeId = 2 AND CommunityOwnedDate IS NULL) * 100.0 / COUNT(*) AS "%_below_threshold", COUNT(*) AS "total_answers" FROM Posts WHERE PostTypeId = 2 AND CommunityOwnedDate IS NULL GROUP BY OwnerUserId HAVING COUNT(*) > @AnswerThreshold ORDER BY '%_below_threshold' DESC
sede
CREATE TABLE table_name_37 ( france VARCHAR, _percentage_people_under_18__2005_ VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- WHAT IS THE FRANCE WITH PEOPLE UNDER 18 OF SUB-SAHARAN AFRICA?
SELECT france FROM table_name_37 WHERE _percentage_people_under_18__2005_ = "sub-saharan africa"
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 lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- give me the number of patients whose insurance is private and procedure long title is implant of pulsation balloon?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.long_title = "Implant of pulsation balloon"
mimicsql_data
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 diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number ) CREATE TABLE 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 outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE 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 labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE d_labitems ( row_id number, itemid number, label text ) CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- is the value of patient 1205's last arterial bp [systolic] measured on the first intensive care unit visit less than the second to last value measured on the first intensive care unit visit?
SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1205) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1) < (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1205) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1 OFFSET 1)
mimic_iii
CREATE TABLE table_name_43 ( score VARCHAR, tie_no VARCHAR, away_team VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the score when the Tie no is replay, and the away team is York City?
SELECT score FROM table_name_43 WHERE tie_no = "replay" AND away_team = "york city"
sql_create_context
CREATE TABLE table_20097 ( "Name" text, "Position" text, "Number" real, "School/Club Team" text, "Season" real, "Acquisition via" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the position for judy-ann ramirez
SELECT "Position" FROM table_20097 WHERE "Name" = 'judy-ann ramirez'
wikisql
CREATE TABLE table_name_8 ( total INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the average total that is 1st in 2010?
SELECT AVG(total) FROM table_name_8 WHERE 2010 = "1st"
sql_create_context
CREATE TABLE table_name_68 ( gold INTEGER, silver INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which team has the lowest gold and 0 silver?
SELECT MIN(gold) FROM table_name_68 WHERE silver < 0
sql_create_context
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- give me the number of patients whose days of hospital stay is greater than 7 and diagnoses short title is hx-ven thrombosis/embols?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "7" AND diagnoses.short_title = "Hx-ven thrombosis/embols"
mimicsql_data
CREATE TABLE table_name_10 ( date VARCHAR, road_team VARCHAR, game VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Date of Game 5 with Road Team St. Louis?
SELECT date FROM table_name_10 WHERE road_team = "st. louis" AND game = "game 5"
sql_create_context
CREATE TABLE table_name_93 ( different_holders INTEGER, country VARCHAR, giro_wins VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the least different holders when the country is ireland and giro wins is less than 1?
SELECT MIN(different_holders) FROM table_name_93 WHERE country = "ireland" AND giro_wins < 1
sql_create_context
CREATE TABLE table_57027 ( "Country" text, "Release Date" real, "Music Label" text, "Media" text, "Catalogue Number" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the release date by Editions EG in the Netherlands?
SELECT AVG("Release Date") FROM table_57027 WHERE "Music Label" = 'editions eg' AND "Country" = 'netherlands'
wikisql
CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId 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 PostHistoryTypes ( Id number, Name text ) CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE 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 PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE ReviewTaskStates ( 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 ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text ) CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- UWP top questions since May1, 2016 by viewcount.
SELECT p.Id AS "post_link", Title, p.Tags AS Tags, p.ViewCount AS "Views", p.Score AS "Score", p.AnswerCount AS "Answers", DATEDIFF(day, p.CreationDate, GETDATE()) AS "Age (days)", p.AcceptedAnswerId AS "Answer Accepted?" FROM Posts AS p WHERE p.CreationDate >= '20160501' AND (p.Tags LIKE '%<uwp>%' OR p.Tags LIKE '%<windows-10-universal>%' OR (p.Tags LIKE '%<xaml>%' AND p.Tags LIKE '%<windows-10>%')) ORDER BY p.ViewCount DESC
sede
CREATE TABLE table_204_681 ( id number, "2011 rank" number, "2010 rank" number, "2009 rank" number, "2008 rank" number, "2007 rank" number, "company (country)" text, "2011 arms sales (us$ m.)" number, "2010 arms sales (us$ m.)" number, "2009 arms sales (us$ m.)" number, "2008 arms sales (us$ m.)" number, "2007 arms sales (us$ m.)" number, "arms sales as share of company's total sales (%)," number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- calculate the difference between boeing 's 2010 arms sales and raytheon 's 2010 arms sales .
SELECT ABS((SELECT "2010 arms sales (us$ m.)" FROM table_204_681 WHERE "company (country)" = 'boeing') - (SELECT "2010 arms sales (us$ m.)" FROM table_204_681 WHERE "company (country)" = 'raytheon'))
squall
CREATE TABLE table_35145 ( "Res." text, "Record" text, "Opponent" text, "Method" text, "Date" text, "Round" real, "Time" text, "Location" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What time is associated with the event that happened in Tokyo, Japan, ending in a draw, with 3 rounds?
SELECT "Time" FROM table_35145 WHERE "Location" = 'tokyo, japan' AND "Round" = '3' AND "Res." = 'draw'
wikisql
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 hz_info ( KH text, KLX number, YLJGDM text, RYBH text ) CREATE TABLE jybgb ( YLJGDM text, YLJGDM_MZJZJLB text, YLJGDM_ZYJZJLB text, BGDH text, BGRQ time, JYLX number, JZLSH text, JZLSH_MZJZJLB text, JZLSH_ZYJZJLB text, JZLX number, KSBM text, KSMC text, SQRGH text, SQRXM text, BGRGH text, BGRXM text, SHRGH text, SHRXM text, SHSJ time, SQKS text, SQKSMC text, JYKSBM text, JYKSMC text, BGJGDM text, BGJGMC text, SQRQ time, CJRQ time, JYRQ time, BGSJ time, BBDM text, BBMC text, JYBBH text, BBZT number, BBCJBW text, JSBBSJ time, JYXMMC text, JYXMDM text, JYSQJGMC text, JYJGMC text, JSBBRQSJ time, JYJSQM text, JYJSGH text ) CREATE TABLE mzjzjlb ( YLJGDM text, JZLSH text, KH text, KLX number, MJZH text, HZXM text, NLS number, NLY number, ZSEBZ number, JZZTDM number, JZZTMC text, JZJSSJ time, TXBZ number, ZZBZ number, WDBZ number, JZKSBM text, JZKSMC text, JZKSRQ time, ZZYSGH text, QTJZYSGH text, JZZDBM text, JZZDSM text, MZZYZDZZBM text, MZZYZDZZMC text, SG number, TZ number, TW number, SSY number, SZY number, XL number, HXPLC number, ML number, JLSJ time ) CREATE TABLE 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 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 列出姓曹的检测人负责的所有检测指标在医疗就诊81824209749中名称及其结果定量与结果定量单位啊?
SELECT jyjgzbb.JCZBMC, jyjgzbb.JCZBJGDL, jyjgzbb.JCZBJGDW FROM jybgb JOIN jyjgzbb ON jybgb.YLJGDM = jyjgzbb.YLJGDM AND jybgb.BGDH = jyjgzbb.BGDH WHERE jybgb.JZLSH = '81824209749' AND jyjgzbb.JCRXM LIKE '曹%'
css
CREATE TABLE driverStandings ( driverStandingsId INTEGER, raceId INTEGER, driverId INTEGER, points REAL, position INTEGER, positionText TEXT, wins INTEGER ) CREATE TABLE constructors ( constructorId INTEGER, constructorRef TEXT, name TEXT, nationality TEXT, url TEXT ) CREATE TABLE lapTimes ( raceId INTEGER, driverId INTEGER, lap INTEGER, position INTEGER, time TEXT, milliseconds INTEGER ) CREATE TABLE pitStops ( raceId INTEGER, driverId INTEGER, stop INTEGER, lap INTEGER, time TEXT, duration TEXT, milliseconds INTEGER ) CREATE TABLE races ( raceId INTEGER, year INTEGER, round INTEGER, circuitId INTEGER, name TEXT, date TEXT, time TEXT, url TEXT ) CREATE TABLE drivers ( driverId INTEGER, driverRef TEXT, number TEXT, code TEXT, forename TEXT, surname TEXT, dob TEXT, nationality TEXT, url TEXT ) CREATE TABLE seasons ( year INTEGER, url TEXT ) CREATE TABLE status ( statusId INTEGER, status TEXT ) CREATE TABLE qualifying ( qualifyId INTEGER, raceId INTEGER, driverId INTEGER, constructorId INTEGER, number INTEGER, position INTEGER, q1 TEXT, q2 TEXT, q3 TEXT ) CREATE TABLE constructorResults ( constructorResultsId INTEGER, raceId INTEGER, constructorId INTEGER, points REAL, status TEXT ) CREATE TABLE circuits ( circuitId INTEGER, circuitRef TEXT, name TEXT, location TEXT, country TEXT, lat REAL, lng REAL, alt TEXT, url TEXT ) CREATE TABLE constructorStandings ( constructorStandingsId INTEGER, raceId INTEGER, constructorId INTEGER, points REAL, position INTEGER, positionText TEXT, wins INTEGER ) CREATE TABLE results ( resultId INTEGER, raceId INTEGER, driverId INTEGER, constructorId INTEGER, number INTEGER, grid INTEGER, position TEXT, positionText TEXT, positionOrder INTEGER, points REAL, laps TEXT, time TEXT, milliseconds TEXT, fastestLap TEXT, rank TEXT, fastestLapTime TEXT, fastestLapSpeed TEXT, statusId INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Visualize a bar chart for what are the ids and locations of all circuits in France or Belgium?, could you order Y from high to low order please?
SELECT location, circuitId FROM circuits WHERE country = "France" OR country = "Belgium" ORDER BY circuitId DESC
nvbench
CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) 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 PostTypes ( Id number, Name text ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId 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 ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE 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 Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) 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 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 ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE 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 Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number ) CREATE TABLE 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Randomly select 5000 rows from Posts where post type is 1 i.e. questions.
SELECT * FROM Posts WHERE PostTypeId = 1 ORDER BY RAND() LIMIT 5000
sede
CREATE TABLE table_77865 ( "CERCLIS ID" text, "Name" text, "County" text, "Proposed" text, "Listed" text, "Construction completed" text, "Partially deleted" text, "Deleted" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- when was the site listed when the county is cochise?
SELECT "Listed" FROM table_77865 WHERE "County" = 'cochise'
wikisql
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 PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number ) CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE CloseReasonTypes ( 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 PostHistoryTypes ( Id number, Name text ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId 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 PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) CREATE TABLE 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 ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Questions with no programming language tags.
SELECT Id AS "post_link", CreationDate AS "date", Tags FROM Posts WHERE ClosedDate IS NULL AND NOT Tags LIKE '%c%' AND NOT Tags LIKE '%c++%' AND NOT Tags LIKE '%java%' AND NOT Tags LIKE '%c#%' AND NOT Tags LIKE '%javascript%' ORDER BY CreationDate LIMIT 500
sede
CREATE TABLE Customer_Orders ( Order_ID INTEGER, Customer_ID INTEGER, Store_ID INTEGER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR(255) ) CREATE TABLE Drama_Workshop_Groups ( Workshop_Group_ID INTEGER, Address_ID INTEGER, Currency_Code CHAR(15), Marketing_Region_Code CHAR(15), Store_Name VARCHAR(255), Store_Phone VARCHAR(255), Store_Email_Address VARCHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Bookings_Services ( Order_ID INTEGER, Product_ID INTEGER ) CREATE TABLE Products ( Product_ID VARCHAR(100), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), Product_Description VARCHAR(255), Other_Product_Service_Details VARCHAR(255) ) CREATE TABLE Services ( Service_ID INTEGER, Service_Type_Code CHAR(15), Workshop_Group_ID INTEGER, Product_Description VARCHAR(255), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), Other_Product_Service_Details VARCHAR(255) ) CREATE TABLE Invoice_Items ( Invoice_Item_ID INTEGER, Invoice_ID INTEGER, Order_ID INTEGER, Order_Item_ID INTEGER, Product_ID INTEGER, Order_Quantity INTEGER, Other_Item_Details VARCHAR(255) ) CREATE TABLE Ref_Payment_Methods ( payment_method_code CHAR(10), payment_method_description VARCHAR(80) ) CREATE TABLE Performers ( Performer_ID INTEGER, Address_ID INTEGER, Customer_Name VARCHAR(255), Customer_Phone VARCHAR(255), Customer_Email_Address VARCHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Clients ( Client_ID INTEGER, Address_ID INTEGER, Customer_Email_Address VARCHAR(255), Customer_Name VARCHAR(255), Customer_Phone VARCHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Order_Items ( Order_Item_ID INTEGER, Order_ID INTEGER, Product_ID INTEGER, Order_Quantity VARCHAR(288), Other_Item_Details VARCHAR(255) ) CREATE TABLE Stores ( Store_ID VARCHAR(100), Address_ID INTEGER, Marketing_Region_Code CHAR(15), Store_Name VARCHAR(255), Store_Phone VARCHAR(255), Store_Email_Address VARCHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Invoices ( Invoice_ID INTEGER, Order_ID INTEGER, payment_method_code CHAR(15), Product_ID INTEGER, Order_Quantity VARCHAR(288), Other_Item_Details VARCHAR(255), Order_Item_ID INTEGER ) CREATE TABLE Bookings ( Booking_ID INTEGER, Customer_ID INTEGER, Workshop_Group_ID VARCHAR(100), Status_Code CHAR(15), Store_ID INTEGER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR(255) ) CREATE TABLE Marketing_Regions ( Marketing_Region_Code CHAR(15), Marketing_Region_Name VARCHAR(255), Marketing_Region_Descriptrion VARCHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Performers_in_Bookings ( Order_ID INTEGER, Performer_ID INTEGER ) CREATE TABLE Ref_Service_Types ( Service_Type_Code CHAR(15), Parent_Service_Type_Code CHAR(15), Service_Type_Description VARCHAR(255) ) CREATE TABLE Customers ( Customer_ID VARCHAR(100), Address_ID INTEGER, Customer_Name VARCHAR(255), Customer_Phone VARCHAR(255), Customer_Email_Address VARCHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Addresses ( Address_ID VARCHAR(100), Line_1 VARCHAR(255), Line_2 VARCHAR(255), City_Town VARCHAR(255), State_County VARCHAR(255), Other_Details VARCHAR(255) ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Give the proportion of what are the different product names? What is the average product price for each of them?
SELECT Product_Name, AVG(Product_Price) FROM Products GROUP BY Product_Name
nvbench
CREATE TABLE table_19131921_1 ( station VARCHAR, frequency VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which station has the frequency of 107.3?
SELECT station FROM table_19131921_1 WHERE frequency = "107.3"
sql_create_context
CREATE TABLE table_train_189 ( "id" int, "alt" float, "hyperglycemia" bool, "liver_disease" bool, "smoking" bool, "alcohol_abuse" bool, "drug_abuse" bool, "triglyceride_tg" float, "NOUSE" float ) -- Using valid SQLite, answer the following questions for the tables provided above. -- uncontrolled hyperglycemia
SELECT * FROM table_train_189 WHERE hyperglycemia = 1
criteria2sql
CREATE TABLE table_name_76 ( month VARCHAR, us__2013_ VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which month in 2013 did the U.S. use the ruby birthstone?
SELECT month FROM table_name_76 WHERE us__2013_ = "ruby"
sql_create_context
CREATE TABLE table_76880 ( "Name" text, "Built" text, "Listed" text, "Location" text, "County" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- In what year was the bridge in Lovell built?
SELECT "Built" FROM table_76880 WHERE "Location" = 'lovell'
wikisql
CREATE TABLE table_43370 ( "Season" text, "Competition" text, "Round" text, "Opponent" text, "Series" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the Opponent with a Round of q2, in the 2005 06 season?
SELECT "Opponent" FROM table_43370 WHERE "Round" = 'q2' AND "Season" = '2005–06'
wikisql
CREATE TABLE t_kc22 ( MED_EXP_DET_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, MED_EXP_BILL_ID text, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, DIRE_TYPE number, CHA_ITEM_LEV number, MED_INV_ITEM_TYPE text, MED_DIRE_CD text, MED_DIRE_NM text, VAL_UNIT text, DOSE_UNIT text, DOSE_FORM text, SPEC text, USE_FRE text, EACH_DOSAGE text, QTY number, UNIVALENT number, AMOUNT number, SELF_PAY_PRO number, RER_SOL number, SELF_PAY_AMO number, UP_LIMIT_AMO number, OVE_SELF_AMO number, EXP_OCC_DATE time, RECIPE_BILL_ID text, FLX_MED_ORG_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, HOSP_DOC_CD text, HOSP_DOC_NM text, REF_STA_FLG number, DATA_ID text, SYNC_TIME time, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, TRADE_TYPE number, STA_FLG number, STA_DATE time, REIMBURS_TYPE number, FXBZ number, REMOTE_SETTLE_FLG text ) CREATE TABLE t_kc24 ( MED_SAFE_PAY_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, REF_SLT_FLG number, CLINIC_SLT_DATE time, COMP_ID text, PERSON_ID text, FLX_MED_ORG_ID text, INSU_TYPE text, MED_AMOUT number, PER_ACC_PAY number, OVE_PAY number, ILL_PAY number, CIVIL_SUBSIDY number, PER_SOL number, PER_EXP number, DATA_ID text, SYNC_TIME time, OUT_HOSP_DATE time, CLINIC_ID text, MED_TYPE number, INSURED_STS text, INSURED_IDENTITY number, TRADE_TYPE number, RECIPE_BILL_ID text, ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, RECEIVER_DEAL_ID text, SENDER_REVOKE_ID text, RECEIVER_REVOKE_ID text, SENDER_OFFSET_ID text, RECEIVER_OFFSET_ID text, LAS_OVE_PAY number, OVE_ADD_PAY number, SUP_ADD_PAY number, CKC102 number, CASH_PAY number, COM_ACC_PAY number, ENT_ACC_PAY number, ENT_PAY number, COM_PAY number, OLDC_FUND_PAY number, SPE_FUND_PAY number ) CREATE TABLE t_kc21 ( MED_CLINIC_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, COMP_ID text, PERSON_ID text, PERSON_NM text, IDENTITY_CARD text, SOC_SRT_CARD text, PERSON_SEX number, PERSON_AGE number, IN_HOSP_DATE time, OUT_HOSP_DATE time, DIFF_PLACE_FLG number, FLX_MED_ORG_ID text, MED_SER_ORG_NO text, CLINIC_TYPE text, MED_TYPE number, CLINIC_ID text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, INPT_AREA_BED text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, MAIN_COND_DES text, INSU_TYPE text, IN_HOSP_DAYS number, MED_AMOUT number, FERTILITY_STS number, DATA_ID text, SYNC_TIME time, REIMBURSEMENT_FLG number, HOSP_LEV number, HOSP_STS number, INSURED_IDENTITY number, SERVANT_FLG text, TRADE_TYPE number, INSURED_STS text, REMOTE_SETTLE_FLG text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 依据科室的不同编码和入院时诊断的疾病编码看一下医院1314915所有的记录里面医保的大病支付和总医疗费用比值最小是多少
SELECT t_kc21.MED_ORG_DEPT_CD, t_kc21.IN_DIAG_DIS_CD, MIN(t_kc24.ILL_PAY / t_kc24.MED_AMOUT) FROM t_kc21 JOIN t_kc24 ON t_kc21.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE t_kc21.MED_SER_ORG_NO = '1314915' GROUP BY t_kc21.MED_ORG_DEPT_CD, t_kc21.IN_DIAG_DIS_CD
css
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 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 equipment_sequence ( aircraft_code_sequence varchar, aircraft_code 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 ground_service ( city_code text, airport_code text, transport_type text, ground_fare int ) 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 code_description ( code varchar, description 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 city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar ) CREATE TABLE month ( month_number int, month_name text ) CREATE TABLE 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 compartment_class ( compartment varchar, class_type varchar ) CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int ) CREATE TABLE restriction ( restriction_code text, advance_purchase int, stopovers text, saturday_stay_required text, minimum_stay int, maximum_stay int, application text, no_discounts text ) CREATE TABLE flight ( 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 date_day ( month_number int, day_number int, year int, day_name varchar ) CREATE TABLE time_interval ( period text, begin_time int, end_time int ) CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text ) CREATE TABLE airport ( airport_code varchar, airport_name text, airport_location text, state_code varchar, country_name varchar, time_zone_code varchar, minimum_connect_time int ) CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int ) CREATE TABLE flight_fare ( flight_id int, fare_id int ) CREATE TABLE airline ( airline_code varchar, airline_name text, note text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- i need a flight from BALTIMORE to DALLAS tomorrow 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 ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND date_day.day_number = 20 AND date_day.month_number = 1 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 0 AND 1200
atis
CREATE TABLE t_kc24 ( MED_SAFE_PAY_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, REF_SLT_FLG number, CLINIC_SLT_DATE time, COMP_ID text, PERSON_ID text, FLX_MED_ORG_ID text, INSU_TYPE text, MED_AMOUT number, PER_ACC_PAY number, OVE_PAY number, ILL_PAY number, CIVIL_SUBSIDY number, PER_SOL number, PER_EXP number, DATA_ID text, SYNC_TIME time, OUT_HOSP_DATE time, CLINIC_ID text, MED_TYPE number, INSURED_STS text, INSURED_IDENTITY number, TRADE_TYPE number, RECIPE_BILL_ID text, ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, RECEIVER_DEAL_ID text, SENDER_REVOKE_ID text, RECEIVER_REVOKE_ID text, SENDER_OFFSET_ID text, RECEIVER_OFFSET_ID text, LAS_OVE_PAY number, OVE_ADD_PAY number, SUP_ADD_PAY number, CKC102 number, CASH_PAY number, COM_ACC_PAY number, ENT_ACC_PAY number, ENT_PAY number, COM_PAY number, OLDC_FUND_PAY number, SPE_FUND_PAY number ) CREATE TABLE t_kc22 ( MED_EXP_DET_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, MED_EXP_BILL_ID text, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, DIRE_TYPE number, CHA_ITEM_LEV number, MED_INV_ITEM_TYPE text, MED_DIRE_CD text, MED_DIRE_NM text, VAL_UNIT text, DOSE_UNIT text, DOSE_FORM text, SPEC text, USE_FRE text, EACH_DOSAGE text, QTY number, UNIVALENT number, AMOUNT number, SELF_PAY_PRO number, RER_SOL number, SELF_PAY_AMO number, UP_LIMIT_AMO number, OVE_SELF_AMO number, EXP_OCC_DATE time, RECIPE_BILL_ID text, FLX_MED_ORG_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, HOSP_DOC_CD text, HOSP_DOC_NM text, REF_STA_FLG number, DATA_ID text, SYNC_TIME time, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, TRADE_TYPE number, STA_FLG number, STA_DATE time, REIMBURS_TYPE number, FXBZ number, REMOTE_SETTLE_FLG text ) CREATE TABLE t_kc21 ( MED_CLINIC_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, COMP_ID text, PERSON_ID text, PERSON_NM text, IDENTITY_CARD text, SOC_SRT_CARD text, PERSON_SEX number, PERSON_AGE number, IN_HOSP_DATE time, OUT_HOSP_DATE time, DIFF_PLACE_FLG number, FLX_MED_ORG_ID text, MED_SER_ORG_NO text, CLINIC_TYPE text, MED_TYPE number, CLINIC_ID text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, INPT_AREA_BED text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, MAIN_COND_DES text, INSU_TYPE text, IN_HOSP_DAYS number, MED_AMOUT number, FERTILITY_STS number, DATA_ID text, SYNC_TIME time, REIMBURSEMENT_FLG number, HOSP_LEV number, HOSP_STS number, INSURED_IDENTITY number, SERVANT_FLG text, TRADE_TYPE number, INSURED_STS text, REMOTE_SETTLE_FLG text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 在医疗就诊过程中编号47926784262的8439这一药品的收费项目等级排多少?
SELECT CHA_ITEM_LEV FROM t_kc22 WHERE MED_CLINIC_ID = '47926784262' AND SOC_SRT_DIRE_CD = '8439'
css
CREATE TABLE table_name_80 ( build_date VARCHAR, total_produced VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What is the build date when total produced is 2?
SELECT build_date FROM table_name_80 WHERE total_produced = 2
sql_create_context
CREATE TABLE table_37938 ( "Round" real, "Pick #" real, "Overall" real, "Name" text, "Position" text, "College" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which position had fewer rounds than 3, and an overall of less than 48?
SELECT "Position" FROM table_37938 WHERE "Round" < '3' AND "Overall" < '48'
wikisql
CREATE TABLE table_204_524 ( id number, "season" text, "tier" number, "division" text, "place" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- how many years has this team been a part of the 1s aut . pref . division ?
SELECT COUNT("season") FROM table_204_524 WHERE "division" = '1a aut. pref'
squall
CREATE TABLE Students ( student_id INTEGER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR(40), password VARCHAR(10), personal_name VARCHAR(40), middle_name VARCHAR(40), family_name VARCHAR(40) ) CREATE TABLE Course_Authors_and_Tutors ( author_id INTEGER, author_tutor_ATB VARCHAR(3), login_name VARCHAR(40), password VARCHAR(40), personal_name VARCHAR(80), middle_name VARCHAR(80), family_name VARCHAR(80), gender_mf VARCHAR(1), address_line_1 VARCHAR(80) ) CREATE TABLE Courses ( course_id INTEGER, author_id INTEGER, subject_id INTEGER, course_name VARCHAR(120), course_description VARCHAR(255) ) CREATE TABLE Student_Tests_Taken ( registration_id INTEGER, date_test_taken DATETIME, test_result VARCHAR(255) ) CREATE TABLE Subjects ( subject_id INTEGER, subject_name VARCHAR(120) ) CREATE TABLE Student_Course_Enrolment ( registration_id INTEGER, student_id INTEGER, course_id INTEGER, date_of_enrolment DATETIME, date_of_completion DATETIME ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Give me the comparison about author_tutor_ATB over the login_name by a bar chart.
SELECT login_name, author_tutor_ATB FROM Course_Authors_and_Tutors ORDER BY personal_name
nvbench
CREATE TABLE table_name_48 ( week VARCHAR, attendance VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which week's game was attended by 33,057 people?
SELECT week FROM table_name_48 WHERE attendance = "33,057"
sql_create_context
CREATE TABLE table_1979203_1 ( branding VARCHAR, _virtual_ VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- what is the name of the branding where the virtual is 13.1
SELECT branding FROM table_1979203_1 WHERE _virtual_ = "13.1"
sql_create_context
CREATE TABLE table_name_66 ( date VARCHAR, partner VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which Date has a Partner of daniella dominikovic?
SELECT date FROM table_name_66 WHERE partner = "daniella dominikovic"
sql_create_context
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 Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT ) CREATE TABLE Restaurant_Type ( ResTypeID INTEGER, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) CREATE TABLE Restaurant ( ResID INTEGER, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- For those female students with age is older than 18 who are not majoring in 600, tell me how many students of different first names using a bar chart.
SELECT Fname, COUNT(Fname) FROM Student WHERE Age > 18 AND Major <> 600 AND Sex = 'F' GROUP BY Fname
nvbench
CREATE TABLE table_18808 ( "Rank by average" real, "Competition finish" real, "Couple" text, "Total" real, "Number of dances" real, "Average" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- tell the mean of the times competition for the 7 jigs
SELECT "Rank by average" FROM table_18808 WHERE "Number of dances" = '7'
wikisql
CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int ) CREATE TABLE ta ( campus_job_id int, student_id int, location varchar ) CREATE TABLE gsi ( course_offering_id int, student_id int ) CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar ) CREATE TABLE course_prerequisite ( pre_course_id int, course_id int ) CREATE TABLE semester ( semester_id int, semester varchar, year int ) CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar ) CREATE TABLE 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 jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int ) CREATE TABLE area ( course_id int, area 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 program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar ) CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar ) CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments int, respected int, participation int, heavy_reading int, tough_grader int, hilarious int, would_take_again int, good_lecture int, no_skip int ) CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar ) CREATE TABLE 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 ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which classes prepare you for SURVMETH 600 ?
SELECT DISTINCT advisory_requirement FROM course WHERE department = 'SURVMETH' AND number = 600
advising
CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time ) CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time ) CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number ) CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time ) CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time ) CREATE TABLE d_labitems ( row_id number, itemid number, label 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 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 chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text ) CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text ) CREATE TABLE 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 labevents ( row_id number, subject_id number, hadm_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 d_items ( row_id number, itemid number, label text, linksto text ) CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number ) CREATE TABLE 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. -- give me the difference between the total input of patient 15794 and the total output on this month/22.
SELECT (SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15794)) AND DATETIME(inputevents_cv.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', inputevents_cv.charttime) = '22') - (SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15794)) AND DATETIME(outputevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', outputevents.charttime) = '22')
mimic_iii
CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number ) CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number ) CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time ) CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number ) CREATE TABLE CloseReasonTypes ( 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 PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text ) CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text ) CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text ) CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number ) CREATE TABLE 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 PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number ) CREATE TABLE VoteTypes ( Id number, Name text ) CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text ) CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text ) CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text ) CREATE TABLE FlagTypes ( Id number, Name text, Description text ) 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 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 Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number ) CREATE TABLE PostTags ( PostId number, TagId number ) CREATE TABLE PostTypes ( Id number, Name text ) CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time ) CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean ) CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text ) CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number ) CREATE TABLE PostHistoryTypes ( Id number, Name text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Active Users Between 18 and 60.
SELECT * FROM Users WHERE Age BETWEEN 18 AND 60 AND DATEDIFF(day, LastAccessDate, GETDATE()) < 60 AND NOT Location IS NULL
sede
CREATE TABLE table_name_78 ( d_47 VARCHAR, d_41 VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- I want the D 47 for D 41 being r 21
SELECT d_47 FROM table_name_78 WHERE d_41 = "r 21"
sql_create_context
CREATE TABLE table_name_20 ( goals_against INTEGER, drawn INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many goals against when the draws are fewer than 3?
SELECT MAX(goals_against) FROM table_name_20 WHERE drawn < 3
sql_create_context
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE 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 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. -- How many patients are with admission location phys referral/normal delivery and with drug name furosemide?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND prescriptions.drug = "Furosemide"
mimicsql_data
CREATE TABLE table_47848 ( "Date" text, "Venue" text, "Result" text, "Scored" real, "Competition" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many times did Sham Kwok Fai score in the game that was played on 22 February 2006?
SELECT SUM("Scored") FROM table_47848 WHERE "Date" = '22 february 2006'
wikisql
CREATE TABLE Sales ( sales_transaction_id INTEGER, sales_details VARCHAR(255) ) CREATE TABLE Transactions ( transaction_id INTEGER, investor_id INTEGER, transaction_type_code VARCHAR(10), date_of_transaction DATETIME, amount_of_transaction DECIMAL(19,4), share_count VARCHAR(40), other_details VARCHAR(255) ) CREATE TABLE Lots ( lot_id INTEGER, investor_id INTEGER, lot_details VARCHAR(255) ) CREATE TABLE Ref_Transaction_Types ( transaction_type_code VARCHAR(10), transaction_type_description VARCHAR(80) ) CREATE TABLE Investors ( investor_id INTEGER, Investor_details VARCHAR(255) ) CREATE TABLE Purchases ( purchase_transaction_id INTEGER, purchase_details VARCHAR(255) ) CREATE TABLE Transactions_Lots ( transaction_id INTEGER, lot_id INTEGER ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Show the average share count of transactions for different investors. Plot them as scatter chart.
SELECT investor_id, AVG(share_count) FROM Transactions GROUP BY investor_id
nvbench
CREATE TABLE table_203_506 ( id number, "opponent" text, "played" number, "won" number, "lost" number, "drawn" number, "% won overall" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- teams where the number of games played was the same as number of games won .
SELECT "opponent" FROM table_203_506 WHERE "played" = "won"
squall
CREATE TABLE technician ( technician_id real, Name text, Team text, Starting_Year real, Age int ) CREATE TABLE machine ( Machine_ID int, Making_Year int, Class text, Team text, Machine_series text, value_points real, quality_rank int ) CREATE TABLE repair_assignment ( technician_id int, repair_ID int, Machine_ID int ) CREATE TABLE repair ( repair_ID int, name text, Launch_Date text, Notes text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the names of the technicians and how many machines are they assigned to repair, and could you display by the Y-axis in asc?
SELECT Name, COUNT(*) FROM repair_assignment AS T1 JOIN technician AS T2 ON T1.technician_id = T2.technician_id GROUP BY T2.Name ORDER BY COUNT(*)
nvbench
CREATE TABLE table_78898 ( "Name" text, "Wins" real, "Start" text, "Duration" text, "Defeated by" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- How many wins, on average, were defeated by furuichi?
SELECT AVG("Wins") FROM table_78898 WHERE "Defeated by" = 'furuichi'
wikisql
CREATE TABLE table_name_88 ( heat INTEGER, nationality VARCHAR, lane VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What was the least number of heats with more than 8 lanes for the Nationality of Germany?
SELECT MIN(heat) FROM table_name_88 WHERE nationality = "germany" AND lane > 8
sql_create_context
CREATE TABLE t_kc24 ( MED_SAFE_PAY_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, REF_SLT_FLG number, CLINIC_SLT_DATE time, COMP_ID text, PERSON_ID text, FLX_MED_ORG_ID text, INSU_TYPE text, MED_AMOUT number, PER_ACC_PAY number, OVE_PAY number, ILL_PAY number, CIVIL_SUBSIDY number, PER_SOL number, PER_EXP number, DATA_ID text, SYNC_TIME time, OUT_HOSP_DATE time, CLINIC_ID text, MED_TYPE number, INSURED_STS text, INSURED_IDENTITY number, TRADE_TYPE number, RECIPE_BILL_ID text, ACCOUNT_DASH_DATE time, ACCOUNT_DASH_FLG number, REIMBURS_FLG number, SENDER_DEAL_ID text, RECEIVER_DEAL_ID text, SENDER_REVOKE_ID text, RECEIVER_REVOKE_ID text, SENDER_OFFSET_ID text, RECEIVER_OFFSET_ID text, LAS_OVE_PAY number, OVE_ADD_PAY number, SUP_ADD_PAY number, CKC102 number, CASH_PAY number, COM_ACC_PAY number, ENT_ACC_PAY number, ENT_PAY number, COM_PAY number, OLDC_FUND_PAY number, SPE_FUND_PAY number ) CREATE TABLE t_kc21 ( MED_CLINIC_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, COMP_ID text, PERSON_ID text, PERSON_NM text, IDENTITY_CARD text, SOC_SRT_CARD text, PERSON_SEX number, PERSON_AGE number, IN_HOSP_DATE time, OUT_HOSP_DATE time, DIFF_PLACE_FLG number, FLX_MED_ORG_ID text, MED_SER_ORG_NO text, CLINIC_TYPE text, MED_TYPE number, CLINIC_ID text, IN_DIAG_DIS_CD text, IN_DIAG_DIS_NM text, OUT_DIAG_DIS_CD text, OUT_DIAG_DIS_NM text, INPT_AREA_BED text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, OUT_DIAG_DOC_CD text, OUT_DIAG_DOC_NM text, MAIN_COND_DES text, INSU_TYPE text, IN_HOSP_DAYS number, MED_AMOUT number, FERTILITY_STS number, DATA_ID text, SYNC_TIME time, REIMBURSEMENT_FLG number, HOSP_LEV number, HOSP_STS number, INSURED_IDENTITY number, SERVANT_FLG text, TRADE_TYPE number, INSURED_STS text, REMOTE_SETTLE_FLG text ) CREATE TABLE t_kc22 ( MED_EXP_DET_ID text, OVERALL_CD_ORG text, OVERALL_CD_PERSON text, MED_CLINIC_ID text, MED_EXP_BILL_ID text, SOC_SRT_DIRE_CD text, SOC_SRT_DIRE_NM text, DIRE_TYPE number, CHA_ITEM_LEV number, MED_INV_ITEM_TYPE text, MED_DIRE_CD text, MED_DIRE_NM text, VAL_UNIT text, DOSE_UNIT text, DOSE_FORM text, SPEC text, USE_FRE text, EACH_DOSAGE text, QTY number, UNIVALENT number, AMOUNT number, SELF_PAY_PRO number, RER_SOL number, SELF_PAY_AMO number, UP_LIMIT_AMO number, OVE_SELF_AMO number, EXP_OCC_DATE time, RECIPE_BILL_ID text, FLX_MED_ORG_ID text, MED_ORG_DEPT_CD text, MED_ORG_DEPT_NM text, HOSP_DOC_CD text, HOSP_DOC_NM text, REF_STA_FLG number, DATA_ID text, SYNC_TIME time, PRESCRIPTION_CODE text, PRESCRIPTION_ID text, TRADE_TYPE number, STA_FLG number, STA_DATE time, REIMBURS_TYPE number, FXBZ number, REMOTE_SETTLE_FLG text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- 二零一一年七月十五日到同年的九月二十九日,编号为4045580的医院有多少科室涉及的医疗费总额没高于7992.28元
SELECT COUNT(*) FROM (SELECT t_kc21.MED_ORG_DEPT_CD FROM t_kc21 JOIN t_kc24 ON t_kc21.MED_CLINIC_ID = t_kc24.MED_CLINIC_ID WHERE t_kc21.MED_SER_ORG_NO = '4045580' AND t_kc24.CLINIC_SLT_DATE BETWEEN '2011-07-15' AND '2011-09-29' GROUP BY t_kc21.MED_ORG_DEPT_CD HAVING SUM(t_kc24.MED_AMOUT) <= 7992.28) AS T
css
CREATE TABLE personfriend ( name text, friend text, year number ) CREATE TABLE person ( name text, age number, city text, gender text, job text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What are the ages of all of Zach's friends who are in the longest relationship?
SELECT T1.age FROM person AS T1 JOIN personfriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Zach' AND T2.year = (SELECT MAX(year) FROM personfriend WHERE name = 'Zach')
spider
CREATE TABLE table_name_98 ( driver VARCHAR, grid VARCHAR ) -- Using valid SQLite, answer the following questions for the tables provided above. -- What driver has grid number 18?
SELECT driver FROM table_name_98 WHERE grid = 18
sql_create_context
CREATE TABLE table_20156 ( "Kinship" text, "Proto-Austronesian" text, "Proto-Malayo-Polynesian" text, "Proto-Oceanic" text, "Proto-Polynesian" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Name the proto oceanic for *fafine
SELECT "Proto-Oceanic" FROM table_20156 WHERE "Proto-Polynesian" = '*fafine'
wikisql
CREATE TABLE table_34403 ( "Round" real, "Player" text, "Position" text, "Nationality" text, "College/Junior/Club Team (League)" text ) -- Using valid SQLite, answer the following questions for the tables provided above. -- Which Position has a Round larger than 6, and a Player of neil pilon?
SELECT "Position" FROM table_34403 WHERE "Round" > '6' AND "Player" = 'neil pilon'
wikisql