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CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| when was the last time that patient 006-172277 was prescribed a medication via the im route in this hospital encounter? | SELECT medication.drugstarttime FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-172277' AND patient.hospitaldischargetime IS NULL)) AND medication.routeadmin = 'im' ORDER BY medication.drugstarttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '006-172277' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "medication"."drugstarttime" FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."routeadmin" = 'im' AND NOT "_u_1"."" IS NULL ORDER BY "medication"."drugstarttime" DESC NULLS LAST LIMIT 1 | 0.644531 |
CREATE TABLE table_24624 ("Round" FLOAT, "Date" TEXT, "City and venue" TEXT, "Winner" TEXT, "Runner-up" TEXT, "3rd placed" TEXT, "4th placed" TEXT, "Results" TEXT)
| Who placed fourth when the winner was Greg Hancock? | SELECT "4th placed" FROM table_24624 WHERE "Winner" = 'Greg Hancock' | SELECT "4th placed" FROM "table_24624" WHERE "Winner" = 'Greg Hancock' | 0.068359 |
CREATE TABLE table_name_76 (home_team VARCHAR, venue VARCHAR)
| What was the home team's score at Windy Hill? | SELECT home_team AS score FROM table_name_76 WHERE venue = "windy hill" | SELECT "home_team" AS "score" FROM "table_name_76" WHERE "venue" = "windy hill" | 0.077148 |
CREATE TABLE table_41637 ("Driver" TEXT, "NOR 1" TEXT, "NOR 2" TEXT, "ZAN 1" TEXT, "ZAN 2" TEXT, "N\\u00dcR 1" TEXT, "N\\u00dcR 2" TEXT)
| What driver has 5 as the zan 2? | SELECT "Driver" FROM table_41637 WHERE "ZAN 2" = '5' | SELECT "Driver" FROM "table_41637" WHERE "ZAN 2" = '5' | 0.052734 |
CREATE TABLE table_train_11 ("id" INT, "pregnancy_or_lactation" BOOLEAN, "severe_sepsis" BOOLEAN, "active_infection" BOOLEAN, "heart_disease" BOOLEAN, "body_weight" FLOAT, "septic_shock" BOOLEAN, "serum_aminotransferase_level_alt_ast" INT, "NOUSE" FLOAT)
| have a known or suspected infection and meet criteria for severe sepsis or septic shock as defined according to the international pediatric sepsis consensus conference guidelines | SELECT * FROM table_train_11 WHERE active_infection = 1 AND (severe_sepsis = 1 OR septic_shock = 1) | SELECT * FROM "table_train_11" WHERE "active_infection" = 1 AND ("septic_shock" = 1 OR "severe_sepsis" = 1) | 0.104492 |
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
| count the number of times patient 006-36108 had urine catheter output in the previous month. | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-36108')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'urine catheter' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-36108' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'urine catheter' AND "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL | 0.700195 |
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
| Show team_id from each team name, order in asc by the bar. | SELECT Team_Name, Team_ID FROM basketball_match ORDER BY Team_Name | SELECT "Team_Name", "Team_ID" FROM "basketball_match" ORDER BY "Team_Name" NULLS FIRST | 0.083984 |
CREATE TABLE table_name_58 (grand_prix VARCHAR, round VARCHAR, winning_driver VARCHAR, pole_position VARCHAR)
| Which Grand Prix did David Coulthard win with Michael Schumacher in the pole position before round 9? | SELECT grand_prix FROM table_name_58 WHERE winning_driver = "david coulthard" AND pole_position = "michael schumacher" AND round < 9 | SELECT "grand_prix" FROM "table_name_58" WHERE "david coulthard" = "winning_driver" AND "michael schumacher" = "pole_position" AND "round" < 9 | 0.138672 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give me the number of patients with coronary artery primary disease who were admitted before 2195. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE" AND demographic.admityear < "2195" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2195" > "demographic"."admityear" AND "CORONARY ARTERY DISEASE" = "demographic"."diagnosis" | 0.163086 |
CREATE TABLE table_name_31 (group VARCHAR, award VARCHAR, film_show VARCHAR, result VARCHAR, year VARCHAR)
| Before 2012, which Group has the Result, nominated, the Film/Show, East West 101, and the Award, Best Lead Actor in A Television Drama? | SELECT group FROM table_name_31 WHERE result = "nominated" AND year < 2012 AND film_show = "east west 101" AND award = "best lead actor in a television drama" | SELECT "group" FROM "table_name_31" WHERE "award" = "best lead actor in a television drama" AND "east west 101" = "film_show" AND "nominated" = "result" AND "year" < 2012 | 0.166016 |
CREATE TABLE table_name_48 (score VARCHAR, team VARCHAR)
| What score is the team of charlotte? | SELECT score FROM table_name_48 WHERE team = "charlotte" | SELECT "score" FROM "table_name_48" WHERE "charlotte" = "team" | 0.060547 |
CREATE TABLE table_56294 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years for Jazz" TEXT, "School/Club Team" TEXT)
| Which nationality has Years for Jazz of 1984-85? | SELECT "Nationality" FROM table_56294 WHERE "Years for Jazz" = '1984-85' | SELECT "Nationality" FROM "table_56294" WHERE "Years for Jazz" = '1984-85' | 0.072266 |
CREATE TABLE table_80319 ("Year" FLOAT, "Tournament" TEXT, "Venue" TEXT, "Result" TEXT, "Extra" TEXT)
| Which venue led to a result of 13th and had an extra of Long Race? | SELECT "Venue" FROM table_80319 WHERE "Extra" = 'long race' AND "Result" = '13th' | SELECT "Venue" FROM "table_80319" WHERE "Extra" = 'long race' AND "Result" = '13th' | 0.081055 |
CREATE TABLE table_65867 ("Municipality" TEXT, "Inhabitants" FLOAT, "Mayor" TEXT, "Party" TEXT, "Election" FLOAT)
| Which party is Ettore Romoli from? | SELECT "Party" FROM table_65867 WHERE "Mayor" = 'ettore romoli' | SELECT "Party" FROM "table_65867" WHERE "Mayor" = 'ettore romoli' | 0.063477 |
CREATE TABLE table_12446 ("Mininera DFL" TEXT, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| What draws are the lowest when wins are larger than 18? | SELECT MIN("Draws") FROM table_12446 WHERE "Wins" > '18' | SELECT MIN("Draws") FROM "table_12446" WHERE "Wins" > '18' | 0.056641 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| when did patient 027-28154 be admitted to the hospital via the direct admit for the first time in 2102? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '027-28154' AND patient.hospitaladmitsource = 'direct admit' AND STRFTIME('%y', patient.hospitaladmittime) = '2102' ORDER BY patient.hospitaladmittime LIMIT 1 | SELECT "patient"."hospitaladmittime" FROM "patient" WHERE "patient"."hospitaladmitsource" = 'direct admit' AND "patient"."uniquepid" = '027-28154' AND STRFTIME('%y', "patient"."hospitaladmittime") = '2102' ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1 | 0.257813 |
CREATE TABLE table_204_170 (id DECIMAL, "player" TEXT, "position" TEXT, "games\ started" TEXT, "hometown" TEXT, "height" TEXT, "weight" DECIMAL, "age" DECIMAL)
| how many players were from ann arbor ? | SELECT COUNT("player") FROM table_204_170 WHERE "hometown" = 'ann arbor' | SELECT COUNT("player") FROM "table_204_170" WHERE "hometown" = 'ann arbor' | 0.072266 |
CREATE TABLE track (Track_ID INT, Name TEXT, Location TEXT, Seating FLOAT, Year_Opened FLOAT)
CREATE TABLE race (Race_ID INT, Name TEXT, Class TEXT, Date TEXT, Track_ID TEXT)
| Show the race class and number of races in each class, and could you rank Y-axis in desc order? | SELECT Class, COUNT(*) FROM race GROUP BY Class ORDER BY COUNT(*) DESC | SELECT "Class", COUNT(*) FROM "race" GROUP BY "Class" ORDER BY COUNT(*) DESC NULLS LAST | 0.084961 |
CREATE TABLE table_1732 ("N" FLOAT, "P" TEXT, "Name" TEXT, "EU" TEXT, "Country" TEXT, "Age" FLOAT, "Type" TEXT, "Moving from" TEXT, "Transfer window" TEXT, "Ends" TEXT, "Transfer fee" TEXT, "Source" TEXT)
| What is listed in p when the type is listed as free agent 1? | SELECT "P" FROM table_1732 WHERE "Type" = 'Free Agent 1' | SELECT "P" FROM "table_1732" WHERE "Type" = 'Free Agent 1' | 0.056641 |
CREATE TABLE table_name_37 (tournament VARCHAR, winning_score VARCHAR)
| Which tournament had a winning score of 5 (69-69-73=211)? | SELECT tournament FROM table_name_37 WHERE winning_score = −5(69 - 69 - 73 = 211) | SELECT "tournament" FROM "table_name_37" WHERE "winning_score" = −5(FALSE) | 0.072266 |
CREATE TABLE music_festival (ID INT, Music_Festival TEXT, Date_of_ceremony TEXT, Category TEXT, Volume INT, Result TEXT)
CREATE TABLE volume (Volume_ID INT, Volume_Issue TEXT, Issue_Date TEXT, Weeks_on_Top FLOAT, Song TEXT, Artist_ID INT)
CREATE TABLE artist (Artist_ID INT, Artist TEXT, Age INT, Famous_Title TEXT, Famous_Release_date TEXT)
| A pie chart for what are the number of the category of music festivals with result 'Awarded'? | SELECT Category, COUNT(Category) FROM music_festival WHERE Result = "Awarded" GROUP BY Category | SELECT "Category", COUNT("Category") FROM "music_festival" WHERE "Awarded" = "Result" GROUP BY "Category" | 0.102539 |
CREATE TABLE table_name_19 (team_1 VARCHAR, team_2 VARCHAR)
| Which team 1 had a Team 2 of hankook verdes? | SELECT team_1 FROM table_name_19 WHERE team_2 = "hankook verdes" | SELECT "team_1" FROM "table_name_19" WHERE "hankook verdes" = "team_2" | 0.068359 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
| is creatine kinase (ck) patient 1561 last measured on the current hospital visit, greater than second to last measured on the current hospital visit? | SELECT (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1561 AND admissions.dischtime IS NULL) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'creatine kinase (ck)') ORDER BY labevents.charttime DESC LIMIT 1) > (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1561 AND admissions.dischtime IS NULL) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'creatine kinase (ck)') ORDER BY labevents.charttime DESC LIMIT 1 OFFSET 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 1561 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'creatine kinase (ck)' GROUP BY "itemid") SELECT (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1) > (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" AS "_u_3" ON "_u_3"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_4" ON "_u_4"."" = "labevents"."itemid" WHERE NOT "_u_3"."" IS NULL AND NOT "_u_4"."" IS NULL ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1 OFFSET 1) | 0.860352 |
CREATE TABLE Apartments (apt_id INT, building_id INT, apt_type_code CHAR, apt_number CHAR, bathroom_count INT, bedroom_count INT, room_count CHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id INT, apt_id INT, guest_id INT, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Apartment_Buildings (building_id INT, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR)
CREATE TABLE Apartment_Facilities (apt_id INT, facility_code CHAR)
CREATE TABLE Guests (guest_id INT, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME)
CREATE TABLE View_Unit_Status (apt_id INT, apt_booking_id INT, status_date DATETIME, available_yn BIT)
| Use a bar chart to show the number of start dates of all the apartment bookings made by guests with gender code 'Female' for each weekday, order in asc by the y axis. | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id WHERE T2.gender_code = "Female" ORDER BY COUNT(booking_start_date) | SELECT "booking_start_date", COUNT("booking_start_date") FROM "Apartment_Bookings" AS "T1" JOIN "Guests" AS "T2" ON "Female" = "T2"."gender_code" AND "T1"."guest_id" = "T2"."guest_id" ORDER BY COUNT("booking_start_date") NULLS FIRST | 0.226563 |
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE 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 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 state (state_code TEXT, state_name TEXT, country_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 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
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)
| please list all UA flights between PITTSBURGH and BALTIMORE | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'UA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'UA' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' | 0.533203 |
CREATE TABLE table_name_7 (total VARCHAR, finish VARCHAR)
| Name the total number of total with finish of t45 | SELECT COUNT(total) FROM table_name_7 WHERE finish = "t45" | SELECT COUNT("total") FROM "table_name_7" WHERE "finish" = "t45" | 0.0625 |
CREATE TABLE table_22871239_5 (score VARCHAR, team VARCHAR)
| What was the score when the team was @ New Jersey? | SELECT score FROM table_22871239_5 WHERE team = "@ New Jersey" | SELECT "score" FROM "table_22871239_5" WHERE "@ New Jersey" = "team" | 0.066406 |
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
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 time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
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 month (month_number INT, month_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 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)
| i would like to book a flight from CHICAGO to SEATTLE on 6 4 | 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 = 'SEATTLE' AND date_day.day_number = 4 AND date_day.month_number = 6 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 = 'CHICAGO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 4 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'CHICAGO' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SEATTLE' | 0.704102 |
CREATE TABLE table_80241 ("Total" TEXT, "11502" FLOAT, "3620" FLOAT, "15122" FLOAT, "5432" FLOAT, "2233" FLOAT, "7665" FLOAT)
| What is the average 5432 value with a 11502 larger than 1163, a 15122 less than 15122, and a 3620 less than 624? | SELECT AVG("5432") FROM table_80241 WHERE "11502" > '1163' AND "15122" < '15122' AND "3620" < '624' | SELECT AVG("5432") FROM "table_80241" WHERE "11502" > '1163' AND "15122" < '15122' AND "3620" < '624' | 0.098633 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| count the number of times patient 18517 has had the po intake on the last intensive care unit visit. | SELECT COUNT(*) 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 = 18517) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'po intake' AND d_items.linksto = 'inputevents_cv') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 18517 GROUP BY "hadm_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'po intake' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT COUNT(*) FROM "inputevents_cv" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE "inputevents_cv"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" DESC NULLS LAST LIMIT 1) AND NOT "_u_2"."" IS NULL | 0.661133 |
CREATE TABLE table_37502 ("Name" TEXT, "GP-GS" TEXT, "Gain" FLOAT, "Loss" FLOAT, "Long" FLOAT, "Avg/G" TEXT)
| What is the lowest loss that Jarius Wright has had where he also has had a gain bigger than 1. | SELECT MIN("Loss") FROM table_37502 WHERE "Name" = 'jarius wright' AND "Gain" > '1' | SELECT MIN("Loss") FROM "table_37502" WHERE "Gain" > '1' AND "Name" = 'jarius wright' | 0.083008 |
CREATE TABLE table_203_755 (id DECIMAL, "singing position" DECIMAL, "song title" TEXT, "informal translation" TEXT, "act" TEXT, "percentage of votes" TEXT, "final position" TEXT)
| what is the top song title ? | SELECT "song title" FROM table_203_755 WHERE id = 1 | SELECT "song title" FROM "table_203_755" WHERE "id" = 1 | 0.053711 |
CREATE TABLE table_204_364 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "event" TEXT, "notes" TEXT)
| which country came in last place in 2009 ? | SELECT "venue" FROM table_204_364 WHERE "year" = 2009 ORDER BY "position" DESC LIMIT 1 | SELECT "venue" FROM "table_204_364" WHERE "year" = 2009 ORDER BY "position" DESC NULLS LAST LIMIT 1 | 0.09668 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
| what is patient 15754's yearly minimum level of total protein, urine? | SELECT MIN(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15754) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'total protein, urine') GROUP BY STRFTIME('%y', labevents.charttime) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15754 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'total protein, urine' GROUP BY "itemid") SELECT MIN("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y', "labevents"."charttime") | 0.522461 |
CREATE TABLE table_22345 ("Transmitter" TEXT, "Service area" TEXT, "Radio 1 ( MHz ) " TEXT, "2FM ( MHz ) " TEXT, "RnaG ( MHz ) " TEXT, "Lyric FM ( MHz ) " TEXT, "ERP ( kW ) " TEXT)
| What is the rnag for lyric fm 98.7? | SELECT "RnaG (MHz)" FROM table_22345 WHERE "Lyric FM (MHz)" = '98.7' | SELECT "RnaG (MHz)" FROM "table_22345" WHERE "Lyric FM (MHz)" = '98.7' | 0.068359 |
CREATE TABLE table_26887 ("Candidate" TEXT, "Background" TEXT, "Original team" TEXT, "Age" FLOAT, "Hometown" TEXT, "Result" TEXT)
| What was the result of the player from Maylands, Western Australia? | SELECT "Result" FROM table_26887 WHERE "Hometown" = 'Maylands, Western Australia' | SELECT "Result" FROM "table_26887" WHERE "Hometown" = 'Maylands, Western Australia' | 0.081055 |
CREATE TABLE table_46222 ("Model Name" TEXT, "Engine" TEXT, "Top Speed" TEXT, "No. of Gears" FLOAT, "Electrics" TEXT)
| Which Electrics has an Engine of 175cc, bhp (kw), and a Model Name of d10 sports & bushman? | SELECT "Electrics" FROM table_46222 WHERE "Engine" = '175cc, bhp (kw)' AND "Model Name" = 'd10 sports & bushman' | SELECT "Electrics" FROM "table_46222" WHERE "Engine" = '175cc, bhp (kw)' AND "Model Name" = 'd10 sports & bushman' | 0.111328 |
CREATE TABLE table_57956 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| How many laps for martin brundle with a grid of less than 10? | SELECT COUNT("Laps") FROM table_57956 WHERE "Driver" = 'martin brundle' AND "Grid" < '10' | SELECT COUNT("Laps") FROM "table_57956" WHERE "Driver" = 'martin brundle' AND "Grid" < '10' | 0.088867 |
CREATE TABLE enzyme (id INT, name TEXT, Location TEXT, Product TEXT, Chromosome TEXT, OMIM INT, Porphyria TEXT)
CREATE TABLE medicine_enzyme_interaction (enzyme_id INT, medicine_id INT, interaction_type TEXT)
CREATE TABLE medicine (id INT, name TEXT, Trade_Name TEXT, FDA_approved TEXT)
| What are the ids and trade names of the medicine that can interact with at least 3 enzymes. Show the proportion. | SELECT Trade_Name, id FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id | SELECT "Trade_Name", "id" FROM "medicine" AS "T1" JOIN "medicine_enzyme_interaction" AS "T2" ON "T1"."id" = "T2"."medicine_id" | 0.123047 |
CREATE TABLE table_71389 ("Goal" FLOAT, "Date" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What was the date of the game that had a goal of 4? | SELECT "Date" FROM table_71389 WHERE "Goal" = '4' | SELECT "Date" FROM "table_71389" WHERE "Goal" = '4' | 0.049805 |
CREATE TABLE table_10752 ("1954" TEXT, "1955" TEXT, "1956" TEXT, "1957" TEXT, "1958" TEXT, "1959" TEXT, "1960" TEXT, "1961" TEXT, "1962" TEXT, "1963" TEXT, "1964" TEXT, "1965" TEXT)
| Tell me the 1958 when 1957 is dnf-9 | SELECT "1958" FROM table_10752 WHERE "1957" = 'dnf-9' | SELECT "1958" FROM "table_10752" WHERE "1957" = 'dnf-9' | 0.053711 |
CREATE TABLE table_name_14 (score VARCHAR, tie_no VARCHAR)
| What is the score of the game with a tie no of 3? | SELECT score FROM table_name_14 WHERE tie_no = "3" | SELECT "score" FROM "table_name_14" WHERE "3" = "tie_no" | 0.054688 |
CREATE TABLE table_name_89 (week INT, result VARCHAR)
| What is the highest Week, when Result is W 34-21? | SELECT MAX(week) FROM table_name_89 WHERE result = "w 34-21" | SELECT MAX("week") FROM "table_name_89" WHERE "result" = "w 34-21" | 0.064453 |
CREATE TABLE table_train_221 ("id" INT, "gender" TEXT, "body_mass_index_bmi" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| male and female subjects 7 _ 14 years of age | SELECT * FROM table_train_221 WHERE (gender = 'male' OR gender = 'female') AND (age >= 7 AND age <= 14) | SELECT * FROM "table_train_221" WHERE "age" <= 14 AND "age" >= 7 AND ("gender" = 'female' OR "gender" = 'male') | 0.108398 |
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE 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 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 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE 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 month (month_number INT, month_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE 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 flight_fare (flight_id INT, fare_id INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
| what is ground transportation between the SFO airport and the city | SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = airport_service.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_0.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" AS "CITY_0" ON "CITY_0"."city_code" = "ground_service"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "city" AS "CITY_1" ON "CITY_1"."city_code" = "airport_service"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.467773 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| when was for the last time during the last hospital encounter patient 31696 prescribed a medication via po/ng route? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31696 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND prescriptions.route = 'po/ng' ORDER BY prescriptions.startdate DESC LIMIT 1 | SELECT "prescriptions"."startdate" FROM "prescriptions" WHERE "prescriptions"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 31696 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1) AND "prescriptions"."route" = 'po/ng' ORDER BY "prescriptions"."startdate" DESC NULLS LAST LIMIT 1 | 0.369141 |
CREATE TABLE table_198175_2 (finnish_name VARCHAR, english_name VARCHAR)
| What is every Finnish name for the English name of Province of Viborg and Nyslott? | SELECT finnish_name FROM table_198175_2 WHERE english_name = "Province of Viborg and Nyslott" | SELECT "finnish_name" FROM "table_198175_2" WHERE "Province of Viborg and Nyslott" = "english_name" | 0.09668 |
CREATE TABLE table_name_32 (runner_up VARCHAR, year VARCHAR)
| Who was the runner-up in 1989? | SELECT runner_up FROM table_name_32 WHERE year = 1989 | SELECT "runner_up" FROM "table_name_32" WHERE "year" = 1989 | 0.057617 |
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Searching for String in Title/Tags/Body with minimum score 4 and with code in body. | SELECT Id AS "post_link", Score, Tags, ViewCount, AnswerCount, CommentCount, FavoriteCount, OwnerUserId, Title FROM Posts WHERE (PostTypeId = 1) AND (NOT Body LIKE '%<pre%><code>%') AND (Posts.Score >= 4) AND ((LOWER(Posts.Tags) LIKE LOWER(LTRIM(RTRIM('%<##Text##>%')))) OR (LOWER(Posts.Title) LIKE LOWER(LTRIM(RTRIM('%<##Text##>%')))) OR (LOWER(Posts.Body) LIKE LOWER(LTRIM(RTRIM('%<##Text##>%'))))) ORDER BY Score DESC | SELECT "Id" AS "post_link", "Score", "Tags", "ViewCount", "AnswerCount", "CommentCount", "FavoriteCount", "OwnerUserId", "Title" FROM "Posts" WHERE "PostTypeId" = 1 AND "Posts"."Score" >= 4 AND NOT "Body" LIKE '%<pre%><code>%' AND (LOWER("Posts"."Body") LIKE LOWER(LTRIM(RTRIM('%<##Text##>%'))) OR LOWER("Posts"."Tags") LIKE LOWER(LTRIM(RTRIM('%<##Text##>%'))) OR LOWER("Posts"."Title") LIKE LOWER(LTRIM(RTRIM('%<##Text##>%')))) ORDER BY "Score" DESC NULLS LAST | 0.450195 |
CREATE TABLE table_75491 ("Version" TEXT, "Length" TEXT, "Album" TEXT, "Remixed by" TEXT, "Year" FLOAT)
| Album of les mots had what lowest year? | SELECT MIN("Year") FROM table_75491 WHERE "Album" = 'les mots' | SELECT MIN("Year") FROM "table_75491" WHERE "Album" = 'les mots' | 0.0625 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
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)
| provide the number of patients whose drug name is 0.9% sodium chloride (mini bag plus). | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "0.9% Sodium Chloride (Mini Bag Plus)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "0.9% Sodium Chloride (Mini Bag Plus)" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.207031 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients under the age of 74 whose insurance is self pay. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Self Pay" AND demographic.age < "74" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "74" > "demographic"."age" AND "Self Pay" = "demographic"."insurance" | 0.140625 |
CREATE TABLE table_name_67 (club VARCHAR, date_of_appointment VARCHAR)
| Name the club with date of appointment of 1 november 2007 | SELECT club FROM table_name_67 WHERE date_of_appointment = "1 november 2007" | SELECT "club" FROM "table_name_67" WHERE "1 november 2007" = "date_of_appointment" | 0.080078 |
CREATE TABLE table_64185 ("Rank" FLOAT, "Rowers" TEXT, "Country" TEXT, "Time" TEXT, "Notes" TEXT)
| What is the average rank for Denmark? | SELECT AVG("Rank") FROM table_64185 WHERE "Country" = 'denmark' | SELECT AVG("Rank") FROM "table_64185" WHERE "Country" = 'denmark' | 0.063477 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
| For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the average of salary , and group by attribute job_id, list X-axis in descending order. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", AVG("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC NULLS LAST | 0.128906 |
CREATE TABLE teachers (classroom VARCHAR, firstname VARCHAR, lastname VARCHAR)
CREATE TABLE list (classroom VARCHAR)
| Find the number of students taught by TARRING LEIA. | SELECT COUNT(*) FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T2.firstname = "TARRING" AND T2.lastname = "LEIA" | SELECT COUNT(*) FROM "list" AS "T1" JOIN "teachers" AS "T2" ON "LEIA" = "T2"."lastname" AND "T1"."classroom" = "T2"."classroom" AND "T2"."firstname" = "TARRING" | 0.15625 |
CREATE TABLE table_57906 ("Year" FLOAT, "Title" TEXT, "Original channel" TEXT, "Role" TEXT, "Note" TEXT)
| what is the year when the title is jotei? | SELECT SUM("Year") FROM table_57906 WHERE "Title" = 'jotei' | SELECT SUM("Year") FROM "table_57906" WHERE "Title" = 'jotei' | 0.05957 |
CREATE TABLE table_25563779_4 (champion VARCHAR, third VARCHAR)
| If the third name is Bruno Bonifacio, what is the champion? | SELECT champion FROM table_25563779_4 WHERE third = "Bruno Bonifacio" | SELECT "champion" FROM "table_25563779_4" WHERE "Bruno Bonifacio" = "third" | 0.073242 |
CREATE TABLE submission (Submission_ID INT, Scores FLOAT, Author TEXT, College TEXT)
CREATE TABLE Acceptance (Submission_ID INT, Workshop_ID INT, Result TEXT)
CREATE TABLE workshop (Workshop_ID INT, Date TEXT, Venue TEXT, Name TEXT)
| Draw a bar chart that counts the number of venues of each workshop, and I want to order in ascending by the X. | SELECT Venue, COUNT(Venue) FROM workshop GROUP BY Venue ORDER BY Venue | SELECT "Venue", COUNT("Venue") FROM "workshop" GROUP BY "Venue" ORDER BY "Venue" NULLS FIRST | 0.089844 |
CREATE TABLE table_59140 ("Statistic" TEXT, "Name" TEXT, "Total" TEXT, "School" TEXT, "Opponent" TEXT, "Stage" TEXT)
| When the opposing team was CSB UPHDS what was the total? | SELECT "Total" FROM table_59140 WHERE "Opponent" = 'csb uphds' | SELECT "Total" FROM "table_59140" WHERE "Opponent" = 'csb uphds' | 0.0625 |
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
| Question - status and other attributes. | SELECT Posts.Id AS PostId, Tags, AnswerCount, CommentCount, FavoriteCount, Posts.CreationDate AS PostCreationDate, OwnerUserId, Title, Body, ClosedDate, Score, ViewCount, Users.Age, Users.CreationDate, Users.Views, Users.UpVotes, Users.DownVotes, Users.Location, Users.Reputation FROM Posts LEFT JOIN Users ON Posts.OwnerUserId = Users.Id WHERE YEAR(Posts.CreationDate) = 2018 | SELECT "Posts"."Id" AS "PostId", "Tags", "AnswerCount", "CommentCount", "FavoriteCount", "Posts"."CreationDate" AS "PostCreationDate", "OwnerUserId", "Title", "Body", "ClosedDate", "Score", "ViewCount", "Users"."Age", "Users"."CreationDate", "Users"."Views", "Users"."UpVotes", "Users"."DownVotes", "Users"."Location", "Users"."Reputation" FROM "Posts" LEFT JOIN "Users" ON "Posts"."OwnerUserId" = "Users"."Id" WHERE YEAR("Posts"."CreationDate") = 2018 | 0.441406 |
CREATE TABLE table_67483 ("Name" TEXT, "Discovered" FLOAT, "Museum" TEXT, "Museum city" TEXT, "Discoverer" TEXT, "Formation" TEXT, "Location" TEXT)
| What city has the museum that holds the Sue specimen? | SELECT "Museum city" FROM table_67483 WHERE "Name" = 'sue' | SELECT "Museum city" FROM "table_67483" WHERE "Name" = 'sue' | 0.058594 |
CREATE TABLE table_839 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What's the number of the game played on March 26? | SELECT MAX("Game") FROM table_839 WHERE "Date" = 'March 26' | SELECT MAX("Game") FROM "table_839" WHERE "Date" = 'March 26' | 0.05957 |
CREATE TABLE table_23396 ("No. in series" TEXT, "No. in season" FLOAT, "Family/families" TEXT, "Location ( s ) " TEXT, "Original air date" TEXT)
| How many locations featured the Webb Family? | SELECT COUNT("Location(s)") FROM table_23396 WHERE "Family/families" = 'The Webb Family' | SELECT COUNT("Location(s)") FROM "table_23396" WHERE "Family/families" = 'The Webb Family' | 0.087891 |
CREATE TABLE table_28997 ("Electoral District" TEXT, "Registered voters" FLOAT, "Seats in Congress" FLOAT, "Candidates per party" FLOAT, "Participating parties" FLOAT, "Total candidates" FLOAT)
| What is the number of participating parties when registered voters totaled 643629? | SELECT COUNT("Participating parties") FROM table_28997 WHERE "Registered voters" = '643629' | SELECT COUNT("Participating parties") FROM "table_28997" WHERE "Registered voters" = '643629' | 0.09082 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Find ACC_Road and Team_ID , and group by attribute ACC_Home, and visualize them by a bar chart, I want to show in ascending by the X-axis. | SELECT ACC_Road, Team_ID FROM basketball_match GROUP BY ACC_Home, ACC_Road ORDER BY ACC_Road | SELECT "ACC_Road", "Team_ID" FROM "basketball_match" GROUP BY "ACC_Home", "ACC_Road" ORDER BY "ACC_Road" NULLS FIRST | 0.113281 |
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
| Hot Meta Post vs Comment Count. | SELECT TIME_TO_STR(CreationDate, '%W') AS "week", COUNT(*) AS "comment_count", CASE WHEN TIME_TO_STR(CreationDate, '%W') > 30 THEN 0 ELSE 1000 END AS "hot_meta_posts_enabled" FROM Comments WHERE CreationDate > '2019-04-01' GROUP BY TIME_TO_STR(CreationDate, '%W') ORDER BY TIME_TO_STR(CreationDate, '%W') | SELECT TO_CHAR(CAST("CreationDate" AS TIMESTAMPNTZ), '%W') AS "week", COUNT(*) AS "comment_count", CASE WHEN TO_CHAR(CAST("CreationDate" AS TIMESTAMPNTZ), '%W') > 30 THEN 0 ELSE 1000 END AS "hot_meta_posts_enabled" FROM "Comments" WHERE "CreationDate" > '2019-04-01' GROUP BY TO_CHAR(CAST("CreationDate" AS TIMESTAMPNTZ), '%W') ORDER BY TO_CHAR(CAST("CreationDate" AS TIMESTAMPNTZ), '%W') NULLS FIRST | 0.390625 |
CREATE TABLE table_name_52 (class_aA VARCHAR, class_a VARCHAR, school_year VARCHAR)
| Name the class AA with class A of rule and school year of 1995-96 | SELECT class_aA FROM table_name_52 WHERE class_a = "rule" AND school_year = "1995-96" | SELECT "class_aA" FROM "table_name_52" WHERE "1995-96" = "school_year" AND "class_a" = "rule" | 0.09082 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of phone_number and manager_id , and rank Y-axis in descending order please. | SELECT PHONE_NUMBER, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY MANAGER_ID DESC | SELECT "PHONE_NUMBER", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "MANAGER_ID" DESC NULLS LAST | 0.208008 |
CREATE TABLE table_66380 ("Club" TEXT, "Sport" TEXT, "Founded" FLOAT, "League" TEXT, "Venue" TEXT)
| What club team was founded before 2011 and plays at the champion window field? | SELECT "Club" FROM table_66380 WHERE "Founded" < '2011' AND "Venue" = 'champion window field' | SELECT "Club" FROM "table_66380" WHERE "Founded" < '2011' AND "Venue" = 'champion window field' | 0.092773 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| what is the number of patients whose gender is f and diagnoses short title is pleural effusion nos? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Pleural effusion NOS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Pleural effusion NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "F" = "demographic"."gender" | 0.220703 |
CREATE TABLE table_1213511_7 (college_junior_club_team VARCHAR, nationality VARCHAR, nhl_team VARCHAR)
| Which college/junior/club teams nationality is canada and nhl team is minnesota north stars | SELECT college_junior_club_team FROM table_1213511_7 WHERE nationality = "Canada" AND nhl_team = "Minnesota North Stars" | SELECT "college_junior_club_team" FROM "table_1213511_7" WHERE "Canada" = "nationality" AND "Minnesota North Stars" = "nhl_team" | 0.125 |
CREATE TABLE table_204_255 (id DECIMAL, "constituency number" DECIMAL, "name" TEXT, "reserved for ( sc/st/none ) " TEXT, "district" TEXT, "number of electorates ( 2009 ) " DECIMAL)
| besides tikamgarth , what is the other district ? | SELECT "district" FROM table_204_255 WHERE "district" <> 'tikamgarh' AND agg = 0 | SELECT "district" FROM "table_204_255" WHERE "agg" = 0 AND "district" <> 'tikamgarh' | 0.082031 |
CREATE TABLE department (dept_code VARCHAR, dept_name VARCHAR)
CREATE TABLE CLASS (prof_num VARCHAR)
CREATE TABLE professor (prof_high_degree VARCHAR, emp_num VARCHAR, dept_code VARCHAR)
CREATE TABLE employee (emp_fname VARCHAR, emp_num VARCHAR)
| Find the first names and degree of all professors who are teaching some class in Computer Info. Systems department. | SELECT DISTINCT T2.emp_fname, T3.prof_high_degree FROM CLASS AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num JOIN professor AS T3 ON T2.emp_num = T3.emp_num JOIN department AS T4 ON T4.dept_code = T3.dept_code WHERE T4.dept_name = 'Computer Info. Systems' | SELECT DISTINCT "T2"."emp_fname", "T3"."prof_high_degree" FROM "CLASS" AS "T1" JOIN "employee" AS "T2" ON "T1"."prof_num" = "T2"."emp_num" JOIN "professor" AS "T3" ON "T2"."emp_num" = "T3"."emp_num" JOIN "department" AS "T4" ON "T3"."dept_code" = "T4"."dept_code" AND "T4"."dept_name" = 'Computer Info. Systems' | 0.303711 |
CREATE TABLE Functional_Areas (functional_area_code VARCHAR, parent_functional_area_code VARCHAR, functional_area_description VARCHAR)
CREATE TABLE Roles (role_code VARCHAR, role_description VARCHAR)
CREATE TABLE Document_Structures (document_structure_code VARCHAR, parent_document_structure_code VARCHAR, document_structure_description VARCHAR)
CREATE TABLE Documents (document_code VARCHAR, document_structure_code VARCHAR, document_type_code VARCHAR, access_count INT, document_name VARCHAR)
CREATE TABLE Document_Sections_Images (section_id INT, image_id INT)
CREATE TABLE Users (user_id INT, role_code VARCHAR, user_name VARCHAR, user_login VARCHAR, password VARCHAR)
CREATE TABLE Images (image_id INT, image_alt_text VARCHAR, image_name VARCHAR, image_url VARCHAR)
CREATE TABLE Document_Functional_Areas (document_code VARCHAR, functional_area_code VARCHAR)
CREATE TABLE Document_Sections (section_id INT, document_code VARCHAR, section_sequence INT, section_code VARCHAR, section_title VARCHAR)
| Find the name and access counts of all documents, in alphabetic order of the document name. Show bar chart. | SELECT document_name, access_count FROM Documents ORDER BY document_name | SELECT "document_name", "access_count" FROM "Documents" ORDER BY "document_name" NULLS FIRST | 0.089844 |
CREATE TABLE table_17835 ("Colt model no." TEXT, "Name" TEXT, "Stock" TEXT, "Fire control" TEXT, "Rear sight" TEXT, "Forward assist" TEXT, "Barrel length" TEXT, "Barrel profile" TEXT, "Barrel twist" TEXT, "Hand guards" TEXT, "Bayonet Lug" TEXT, "Muzzle device" TEXT)
| What models have an a2 barrel profile? | SELECT "Name" FROM table_17835 WHERE "Barrel profile" = 'A2' | SELECT "Name" FROM "table_17835" WHERE "Barrel profile" = 'A2' | 0.060547 |
CREATE TABLE table_1870 ("Team" TEXT, "Location" TEXT, "County" TEXT, "Division" TEXT, "Home ground" TEXT, "Coach" TEXT, "Captain" TEXT)
| Who is the captain of the team in Southampton? | SELECT "Captain" FROM table_1870 WHERE "Location" = 'Southampton' | SELECT "Captain" FROM "table_1870" WHERE "Location" = 'Southampton' | 0.06543 |
CREATE TABLE table_4648 ("Name" TEXT, "City" TEXT, "Metres" FLOAT, "Feet" FLOAT, "Floors" FLOAT, "Finalized" TEXT)
| Which building was built in 2015, has less than 40 floors and is larger than 509 feet? | SELECT MAX("Metres") FROM table_4648 WHERE "Finalized" = '2015' AND "Floors" < '40' AND "Feet" > '509' | SELECT MAX("Metres") FROM "table_4648" WHERE "Feet" > '509' AND "Finalized" = '2015' AND "Floors" < '40' | 0.101563 |
CREATE TABLE table_16729930_18 (release_price___usd__ VARCHAR, part_number_s_ VARCHAR)
| What is the release price for a processor with part number cy80632007227ab? | SELECT release_price___usd__ FROM table_16729930_18 WHERE part_number_s_ = "CY80632007227AB" | SELECT "release_price___usd__" FROM "table_16729930_18" WHERE "CY80632007227AB" = "part_number_s_" | 0.095703 |
CREATE TABLE table_name_69 (team VARCHAR, location_attendance VARCHAR, high_points VARCHAR)
| What is Team, when Location Attendance is 'Madison Square Garden Unknown', and when High Points is 'Alonzo Mourning (24)'? | SELECT team FROM table_name_69 WHERE location_attendance = "madison square garden unknown" AND high_points = "alonzo mourning (24)" | SELECT "team" FROM "table_name_69" WHERE "alonzo mourning (24)" = "high_points" AND "location_attendance" = "madison square garden unknown" | 0.135742 |
CREATE TABLE region (Region_id INT, Region_code TEXT, Region_name TEXT)
CREATE TABLE storm (Storm_ID INT, Name TEXT, Dates_active TEXT, Max_speed INT, Damage_millions_USD FLOAT, Number_Deaths INT)
CREATE TABLE affected_region (Region_id INT, Storm_ID INT, Number_city_affected FLOAT)
| Visualize a bar chart for what are the names and damage in millions for storms, ordered by their max speeds descending? | SELECT Name, Damage_millions_USD FROM storm ORDER BY Max_speed DESC | SELECT "Name", "Damage_millions_USD" FROM "storm" ORDER BY "Max_speed" DESC NULLS LAST | 0.083984 |
CREATE TABLE table_31689 ("Place" FLOAT, "Title" TEXT, "Units sold in Japan" TEXT, "Units sold in the UK" TEXT, "Units sold in the US" TEXT, "Total units sold" FLOAT)
| How many units were sold in the US of the game that sold 346,000 units in japan? | SELECT "Units sold in the US" FROM table_31689 WHERE "Units sold in Japan" = '346,000' | SELECT "Units sold in the US" FROM "table_31689" WHERE "Units sold in Japan" = '346,000' | 0.085938 |
CREATE TABLE table_13719788_1 (film_title_used_in_nomination VARCHAR, original_title VARCHAR)
| What title was used in the nomination for the title Biola Tak Berdawai? | SELECT film_title_used_in_nomination FROM table_13719788_1 WHERE original_title = "Biola tak berdawai" | SELECT "film_title_used_in_nomination" FROM "table_13719788_1" WHERE "Biola tak berdawai" = "original_title" | 0.105469 |
CREATE TABLE table_name_95 (top_25 VARCHAR, top_10 VARCHAR, cuts_made VARCHAR)
| What is the total number of top-25 that has a top-10 smaller than 4 with 0 cuts? | SELECT COUNT(top_25) FROM table_name_95 WHERE top_10 < 4 AND cuts_made > 0 | SELECT COUNT("top_25") FROM "table_name_95" WHERE "cuts_made" > 0 AND "top_10" < 4 | 0.080078 |
CREATE TABLE table_name_31 (matches INT, player VARCHAR, total VARCHAR)
| With a Total of less than 29, what is Ian Ryan's most Matches? | SELECT MAX(matches) FROM table_name_31 WHERE player = "ian ryan" AND total < 29 | SELECT MAX("matches") FROM "table_name_31" WHERE "ian ryan" = "player" AND "total" < 29 | 0.084961 |
CREATE TABLE table_37112 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" TEXT)
| Which Lost has a Position of 3, and a Drawn larger than 3? | SELECT SUM("Lost") FROM table_37112 WHERE "Position" = '3' AND "Drawn" > '3' | SELECT SUM("Lost") FROM "table_37112" WHERE "Drawn" > '3' AND "Position" = '3' | 0.076172 |
CREATE TABLE table_14656147_2 (record VARCHAR, result VARCHAR)
| Type the record details if any result has L 3-6 in it? | SELECT record FROM table_14656147_2 WHERE result = "L 3-6" | SELECT "record" FROM "table_14656147_2" WHERE "L 3-6" = "result" | 0.0625 |
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE 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 area (course_id INT, area VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE course (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)
| CAAS 438 is offered at what morning times ? | SELECT DISTINCT course_offering.end_time, course_offering.start_time, semester.semester, semester.year FROM course, course_offering, semester WHERE course_offering.start_time < '12:00:00' AND course_offering.start_time >= '08:00:00' AND course.course_id = course_offering.course_id AND course.department = 'CAAS' AND course.number = 438 AND semester.semester = 'semester0' AND semester.semester_id = course_offering.semester AND semester.year = year0 | SELECT DISTINCT "course_offering"."end_time", "course_offering"."start_time", "semester"."semester", "semester"."year" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."start_time" < '12:00:00' AND "course_offering"."start_time" >= '08:00:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'semester0' AND "semester"."year" = "year0" WHERE "course"."department" = 'CAAS' AND "course"."number" = 438 | 0.507813 |
CREATE TABLE table_22464685_1 (author VARCHAR, english_name VARCHAR)
| Who is the auther when the english name was histories and eulogies of the sovereigns? | SELECT author FROM table_22464685_1 WHERE english_name = "Histories and Eulogies of the Sovereigns" | SELECT "author" FROM "table_22464685_1" WHERE "Histories and Eulogies of the Sovereigns" = "english_name" | 0.102539 |
CREATE TABLE table_203_242 (id DECIMAL, "season" TEXT, "competition" TEXT, "round" TEXT, "club" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
| what is the total number of seasons fc shakhtyor salihorsk had played in europe ? | SELECT COUNT(DISTINCT "season") FROM table_203_242 | SELECT COUNT(DISTINCT "season") FROM "table_203_242" | 0.050781 |
CREATE TABLE table_48464 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What was the final score for the game in which Carmelo Anthony (26) was the high points scorer? | SELECT "Score" FROM table_48464 WHERE "High points" = 'carmelo anthony (26)' | SELECT "Score" FROM "table_48464" WHERE "High points" = 'carmelo anthony (26)' | 0.076172 |
CREATE TABLE table_24828 ("Institution" TEXT, "Location" TEXT, "Enrollment" TEXT, "Athletic nickname" TEXT, "School Colors" TEXT, "Founded" FLOAT)
| For the athletic nickname of golden knights how many entries are shown for enrollment? | SELECT COUNT("Enrollment") FROM table_24828 WHERE "Athletic nickname" = 'Golden Knights' | SELECT COUNT("Enrollment") FROM "table_24828" WHERE "Athletic nickname" = 'Golden Knights' | 0.087891 |
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
| show me a list of all the airlines that offer BUSINESS class service | SELECT DISTINCT airline.airline_code FROM airline, fare, fare_basis, flight, flight_fare WHERE fare_basis.class_type = 'BUSINESS' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.airline_code = airline.airline_code AND flight.flight_id = flight_fare.flight_id | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'BUSINESS' | 0.365234 |
CREATE TABLE table_27994 ("Edition" TEXT, "Class" TEXT, "Legs" FLOAT, "In-Port Races" TEXT, "Entries" TEXT, "Start" TEXT, "Finish" TEXT, "Winning yacht" TEXT, "Winning skipper" TEXT)
| Name the wininng yacht for 14 entries | SELECT "Winning yacht" FROM table_27994 WHERE "Entries" = '14' | SELECT "Winning yacht" FROM "table_27994" WHERE "Entries" = '14' | 0.0625 |
CREATE TABLE table_58734 ("Name" TEXT, "Total" FLOAT, "First" TEXT, "Last" TEXT, "Highest rank" TEXT)
| What is the greatest total when the last was September 1970? | SELECT MAX("Total") FROM table_58734 WHERE "Last" = 'september 1970' | SELECT MAX("Total") FROM "table_58734" WHERE "Last" = 'september 1970' | 0.068359 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| how much is the change in weight of patient 006-161415 last measured on the first hospital visit compared to the second to last value measured on the first hospital visit? | SELECT (SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-161415' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) AND NOT patient.admissionweight IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) - (SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-161415' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) AND NOT patient.admissionweight IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1 OFFSET 1) | SELECT (SELECT "patient"."admissionweight" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-161415' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1) AND NOT "patient"."admissionweight" IS NULL ORDER BY "patient"."unitadmittime" DESC NULLS LAST LIMIT 1) - (SELECT "patient"."admissionweight" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-161415' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1) AND NOT "patient"."admissionweight" IS NULL ORDER BY "patient"."unitadmittime" DESC NULLS LAST LIMIT 1 OFFSET 1) | 0.829102 |
CREATE TABLE table_18468 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| Which candidates were in the election where Frank W. Boykin was an incumbent? | SELECT "Candidates" FROM table_18468 WHERE "Incumbent" = 'Frank W. Boykin' | SELECT "Candidates" FROM "table_18468" WHERE "Incumbent" = 'Frank W. Boykin' | 0.074219 |
CREATE TABLE table_20732 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Crowd" FLOAT, "Date" TEXT, "Time" TEXT)
| At what venues did the away team score 16.10 (106)? | SELECT "Ground" FROM table_20732 WHERE "Away team score" = '16.10 (106)' | SELECT "Ground" FROM "table_20732" WHERE "Away team score" = '16.10 (106)' | 0.072266 |
CREATE TABLE table_name_31 (source_language VARCHAR, meaning VARCHAR)
| What language did the word mahjong originate from? | SELECT source_language FROM table_name_31 WHERE meaning = "mahjong" | SELECT "source_language" FROM "table_name_31" WHERE "mahjong" = "meaning" | 0.071289 |
CREATE TABLE airport (id DECIMAL, city TEXT, country TEXT, iata TEXT, icao TEXT, name TEXT)
CREATE TABLE flight (id DECIMAL, vehicle_flight_number TEXT, date TEXT, pilot TEXT, velocity DECIMAL, altitude DECIMAL, airport_id DECIMAL, company_id DECIMAL)
CREATE TABLE operate_company (id DECIMAL, name TEXT, type TEXT, principal_activities TEXT, incorporated_in TEXT, group_equity_shareholding DECIMAL)
| How many flights have a velocity larger than 200? | SELECT COUNT(*) FROM flight WHERE velocity > 200 | SELECT COUNT(*) FROM "flight" WHERE "velocity" > 200 | 0.050781 |
Subsets and Splits