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CREATE TABLE table_26489 ("Year" FLOAT, "Putri Pariwisata Indonesia" CLOB, "1st Runner Up" CLOB, "2nd Runner Up" CLOB, "3rd Runner Up" CLOB, "4th Runner Up" CLOB)
| Who won 2nd place when albertina fransisca mailoa was the winner of the putri pariwisata contest? | SELECT "1st Runner Up" FROM table_26489 WHERE "Putri Pariwisata Indonesia" = 'Albertina Fransisca Mailoa' | SELECT "1st Runner Up" FROM "table_26489" WHERE "Putri Pariwisata Indonesia" = 'Albertina Fransisca Mailoa' | 0.104492 |
CREATE TABLE table_name_52 (grid NUMBER, time_retired VARCHAR2)
| What's the smallest grid for Time/Retired of +22.687? | SELECT MIN(grid) FROM table_name_52 WHERE time_retired = "+22.687" | SELECT MIN("grid") FROM "table_name_52" WHERE "+22.687" = "time_retired" | 0.070313 |
CREATE TABLE table_17348 ("#" FLOAT, "Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" CLOB, "Record" CLOB, "Streak" CLOB)
| what's the home where date is march 27 | SELECT "Home" FROM table_17348 WHERE "Date" = 'March 27' | SELECT "Home" FROM "table_17348" WHERE "Date" = 'March 27' | 0.056641 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose primary disease is coronary artery disease\coronary artery bypass graft /sda and drug name is glycopyrrolate? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" AND prescriptions.drug = "Glycopyrrolate" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Glycopyrrolate" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" = "demographic"."diagnosis" | 0.277344 |
CREATE TABLE table_name_29 (year VARCHAR2)
| What was the 2nd leg for 2004? | SELECT 2 AS nd_leg FROM table_name_29 WHERE year = 2004 | SELECT 2 AS "nd_leg" FROM "table_name_29" WHERE "year" = 2004 | 0.05957 |
CREATE TABLE table_name_22 (chassis VARCHAR2, year VARCHAR2, entrant VARCHAR2)
| What chassis did Jolly Club Spa used after 1985? | SELECT chassis FROM table_name_22 WHERE year > 1985 AND entrant = "jolly club spa" | SELECT "chassis" FROM "table_name_22" WHERE "entrant" = "jolly club spa" AND "year" > 1985 | 0.087891 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| on the current icu visit, when was the last time that patient 021-111547 had a respiration measured? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-111547') AND patient.unitdischargetime IS NULL) AND NOT vitalperiodic.respiration IS NULL ORDER BY vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-111547' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL ORDER BY "vitalperiodic"."observationtime" DESC FETCH FIRST 1 ROWS ONLY | 0.664063 |
CREATE TABLE culture_company (company_name CLOB, type CLOB, incorporated_in CLOB, group_equity_shareholding NUMBER, book_club_id CLOB, movie_id CLOB)
CREATE TABLE movie (movie_id NUMBER, title CLOB, year NUMBER, director CLOB, budget_million NUMBER, gross_worldwide NUMBER)
CREATE TABLE book_club (book_club_id NUMBER, year NUMBER, author_or_editor CLOB, book_title CLOB, publisher CLOB, category CLOB, result CLOB)
| Which directors had a movie both in the year 1999 and 2000? | SELECT director FROM movie WHERE year = 2000 INTERSECT SELECT director FROM movie WHERE year = 1999 | SELECT "director" FROM "movie" WHERE "year" = 2000 INTERSECT SELECT "director" FROM "movie" WHERE "year" = 1999 | 0.108398 |
CREATE TABLE table_52930 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| When did the home team score 19.17 (131)? | SELECT "Date" FROM table_52930 WHERE "Home team score" = '19.17 (131)' | SELECT "Date" FROM "table_52930" WHERE "Home team score" = '19.17 (131)' | 0.070313 |
CREATE TABLE table_202_232 (id NUMBER, "institution" CLOB, "location" CLOB, "established" NUMBER, "gained university status" NUMBER, "vice-chancellor" CLOB, "total number of students" NUMBER, "research funding ( \\u00a3 , 000 ) " NUMBER)
| how many of the institutions are located in london ? | SELECT COUNT("institution") FROM table_202_232 WHERE "location" = 'london' | SELECT COUNT("institution") FROM "table_202_232" WHERE "location" = 'london' | 0.074219 |
CREATE TABLE table_54257 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What was the score of the Friendly competition where the result was 7-2? | SELECT "Score" FROM table_54257 WHERE "Competition" = 'friendly' AND "Result" = '7-2' | SELECT "Score" FROM "table_54257" WHERE "Competition" = 'friendly' AND "Result" = '7-2' | 0.084961 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is diagnoses short title of subject id 76446? | SELECT diagnoses.short_title FROM diagnoses WHERE diagnoses.subject_id = "76446" | SELECT "diagnoses"."short_title" FROM "diagnoses" WHERE "76446" = "diagnoses"."subject_id" | 0.087891 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Visualize a scatter chart about the correlation between Team_ID and All_Games_Percent , and group by attribute All_Games. | SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY All_Games | SELECT "Team_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "All_Games" | 0.080078 |
CREATE TABLE table_name_78 (result VARCHAR2, date VARCHAR2)
| What was the result of the match on December 9, 1962? | SELECT result FROM table_name_78 WHERE date = "december 9, 1962" | SELECT "result" FROM "table_name_78" WHERE "date" = "december 9, 1962" | 0.068359 |
CREATE TABLE table_62935 ("Rank" FLOAT, "Name" CLOB, "Capacity ( MW ) " FLOAT, "Province" CLOB, "Type" CLOB)
| what is the province when the rank is higher than 24 and the name is laforge-2? | SELECT "Province" FROM table_62935 WHERE "Rank" > '24' AND "Name" = 'laforge-2' | SELECT "Province" FROM "table_62935" WHERE "Name" = 'laforge-2' AND "Rank" > '24' | 0.079102 |
CREATE TABLE table_name_82 (round NUMBER, event VARCHAR2)
| What was the lowest round for the KOTC 25: Flaming Fury event? | SELECT MIN(round) FROM table_name_82 WHERE event = "kotc 25: flaming fury" | SELECT MIN("round") FROM "table_name_82" WHERE "event" = "kotc 25: flaming fury" | 0.078125 |
CREATE TABLE table_20367820_16 (not_out VARCHAR2, average VARCHAR2)
| How many no outs are there for an average of 43.70? | SELECT not_out FROM table_20367820_16 WHERE average = "43.70" | SELECT "not_out" FROM "table_20367820_16" WHERE "43.70" = "average" | 0.06543 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| tell me the cost of the dilation of intestine? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'procedures_icd' AND cost.event_id IN (SELECT procedures_icd.row_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'dilation of intestine')) | WITH "_u_1" AS (SELECT "procedures_icd"."row_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'dilation of intestine' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'procedures_icd' AND NOT "_u_1"."" IS NULL | 0.401367 |
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
| what is the fare from PHILADELPHIA to PITTSBURGH BUSINESS class one way | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis WHERE ((CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND fare.from_airport = AIRPORT_SERVICE_0.airport_code AND fare.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.round_trip_required = 'NO') AND fare_basis.class_type = 'BUSINESS' AND fare.fare_basis_code = fare_basis.fare_basis_code | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "fare" ON "AIRPORT_SERVICE_0"."airport_code" = "fare"."from_airport" AND "fare"."round_trip_required" = 'NO' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "fare"."to_airport" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'BUSINESS' JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' | 0.638672 |
CREATE TABLE table_name_14 (ihsaa_football_class VARCHAR2, ihsaa_class VARCHAR2, enrollment VARCHAR2)
| Which IHSAA Football Class has an IHSAA Class of aa, and an Enrollment of 475? | SELECT ihsaa_football_class FROM table_name_14 WHERE ihsaa_class = "aa" AND enrollment = 475 | SELECT "ihsaa_football_class" FROM "table_name_14" WHERE "aa" = "ihsaa_class" AND "enrollment" = 475 | 0.097656 |
CREATE TABLE table_name_92 (nationality VARCHAR2, pick VARCHAR2)
| What Nationality is the Pick that is 116? | SELECT nationality FROM table_name_92 WHERE pick = 116 | SELECT "nationality" FROM "table_name_92" WHERE "pick" = 116 | 0.058594 |
CREATE TABLE table_204_215 (id NUMBER, "airline" CLOB, "destination ( s ) " CLOB, "aircraft scheduled" CLOB, "service date ( s ) " CLOB, "comments" CLOB)
| what airline has the same scheduled aircraft as beaver aviation/bas airlines ? | SELECT "airline" FROM table_204_215 WHERE "airline" <> 'beaver aviation / bas airlines' AND "aircraft scheduled" = (SELECT "aircraft scheduled" FROM table_204_215 WHERE "airline" = 'beaver aviation / bas airlines') | SELECT "airline" FROM "table_204_215" WHERE "aircraft scheduled" = (SELECT "aircraft scheduled" FROM "table_204_215" WHERE "airline" = 'beaver aviation / bas airlines') AND "airline" <> 'beaver aviation / bas airlines' | 0.212891 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those products with a price between 60 and 120, return a bar chart about the distribution of name and price , I want to sort in desc by the bar please. | SELECT Name, Price FROM Products WHERE Price BETWEEN 60 AND 120 ORDER BY Name DESC | SELECT "Name", "Price" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60 ORDER BY "Name" DESC | 0.095703 |
CREATE TABLE table_80431 ("Season" CLOB, "Team Name" CLOB, "Games" FLOAT, "Losses" FLOAT, "Points" FLOAT)
| What's the total losses for the vancouver burrards in the 1947 season with fewer than 24 games? | SELECT COUNT("Losses") FROM table_80431 WHERE "Team Name" = 'vancouver burrards' AND "Season" = '1947' AND "Games" < '24' | SELECT COUNT("Losses") FROM "table_80431" WHERE "Games" < '24' AND "Season" = '1947' AND "Team Name" = 'vancouver burrards' | 0.120117 |
CREATE TABLE table_21602 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Who had the high rebounds when the team played Sacramento? | SELECT "High rebounds" FROM table_21602 WHERE "Team" = 'Sacramento' | SELECT "High rebounds" FROM "table_21602" WHERE "Team" = 'Sacramento' | 0.067383 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
| show me all the UA flights from BOSTON to DENVER | 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 = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' 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" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'UA' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.514648 |
CREATE TABLE table_5450 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the average total with less than 8 bronze, 3 silver, and a Rank smaller than 2? | SELECT AVG("Total") FROM table_5450 WHERE "Bronze" < '8' AND "Silver" = '3' AND "Rank" < '2' | SELECT AVG("Total") FROM "table_5450" WHERE "Bronze" < '8' AND "Rank" < '2' AND "Silver" = '3' | 0.091797 |
CREATE TABLE table_256286_20 (yes_votes NUMBER, _percentage_yes VARCHAR2)
| how many yes votes made up 43.18% yes? | SELECT MAX(yes_votes) FROM table_256286_20 WHERE _percentage_yes = "43.18%" | SELECT MAX("yes_votes") FROM "table_256286_20" WHERE "43.18%" = "_percentage_yes" | 0.079102 |
CREATE TABLE table_2610582_3 (branding VARCHAR2, callsign VARCHAR2)
| What is the branding of the callsign DWBA-TV? | SELECT branding FROM table_2610582_3 WHERE callsign = "DWBA-TV" | SELECT "branding" FROM "table_2610582_3" WHERE "DWBA-TV" = "callsign" | 0.067383 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| did there was an organism in patient 97677's last serology/blood test? | SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 97677) AND microbiologyevents.spec_type_desc = 'serology/blood' AND NOT microbiologyevents.org_name IS NULL ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 97677 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'serology/blood' AND NOT "_u_0"."" IS NULL AND NOT "microbiologyevents"."org_name" IS NULL ORDER BY "microbiologyevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.436523 |
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
| Can 200 -level classes be taken in Spring or Summer ? | SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number BETWEEN 200 AND 200 + 100 AND semester.semester IN ('SP', 'SS', 'SU') AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "semester"."semester" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" IN ('SP', 'SS', 'SU') AND "semester"."year" = 2016 WHERE "course"."department" = 'EECS' AND "course"."number" <= 300 AND "course"."number" >= 200 | 0.425781 |
CREATE TABLE table_204_712 (id NUMBER, "rank" NUMBER, "athlete" CLOB, "nationality" CLOB, "time" CLOB, "notes" CLOB)
| what is the number of japanese in the top 10 ? | SELECT COUNT(*) FROM table_204_712 WHERE "nationality" = 'japan' AND id <= 10 | SELECT COUNT(*) FROM "table_204_712" WHERE "id" <= 10 AND "nationality" = 'japan' | 0.079102 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is maximum age of patients whose gender is f and ethnicity is hispanic or latino? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.ethnicity = "HISPANIC OR LATINO" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "F" = "demographic"."gender" AND "HISPANIC OR LATINO" = "demographic"."ethnicity" | 0.134766 |
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Select 'young' users with high rep. | SELECT u.DisplayName, u.Reputation, u.CreationDate FROM Users AS u WHERE u.CreationDate >= CAST('2016-01-01 06:10:01' AS DATETIME) AND u.Reputation > 2000 | SELECT "u"."DisplayName", "u"."Reputation", "u"."CreationDate" FROM "Users" "u" WHERE "u"."CreationDate" >= CAST('2016-01-01 06:10:01' AS DATETIME) AND "u"."Reputation" > 2000 | 0.170898 |
CREATE TABLE table_204_738 (id NUMBER, "season" NUMBER, "level" CLOB, "division" CLOB, "section" CLOB, "position" CLOB, "movements" CLOB)
| how long in years total have they played level tier 4 ? | SELECT COUNT("season") FROM table_204_738 WHERE "level" = 4 | SELECT COUNT("season") FROM "table_204_738" WHERE "level" = 4 | 0.05957 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the average of price , and group by attribute name, could you display in asc by the bars? | SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name | SELECT "T2"."Name", "T1"."Price" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Name" | 0.154297 |
CREATE TABLE table_65184 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| what is the score for tom watson? | SELECT "Score" FROM table_65184 WHERE "Player" = 'tom watson' | SELECT "Score" FROM "table_65184" WHERE "Player" = 'tom watson' | 0.061523 |
CREATE TABLE table_51313 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents" CLOB, "Score" CLOB)
| Name the surface when the partner is carlos berlocq | SELECT "Surface" FROM table_51313 WHERE "Partner" = 'carlos berlocq' | SELECT "Surface" FROM "table_51313" WHERE "Partner" = 'carlos berlocq' | 0.068359 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| count the number of patients whose religion is greek orthodox and item id is 51288? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "GREEK ORTHODOX" AND lab.itemid = "51288" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51288" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "GREEK ORTHODOX" = "demographic"."religion" | 0.198242 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what is five of the most common intakes? | SELECT t1.celllabel FROM (SELECT intakeoutput.celllabel, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM intakeoutput WHERE intakeoutput.cellpath LIKE '%intake%' GROUP BY intakeoutput.celllabel) AS t1 WHERE t1.c1 <= 5 | WITH "t1" AS (SELECT "intakeoutput"."celllabel", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "intakeoutput" WHERE "intakeoutput"."cellpath" LIKE '%intake%' GROUP BY "intakeoutput"."celllabel") SELECT "t1"."celllabel" FROM "t1" "t1" WHERE "t1"."c1" <= 5 | 0.257813 |
CREATE TABLE review (Id VARCHAR2)
| Find the number of reviews. | SELECT COUNT(*) FROM review | SELECT COUNT(*) FROM "review" | 0.02832 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| provide the number of patients who have died before or in year 2173 and item id is 51082. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2173.0" AND lab.itemid = "51082" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51082" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2173.0" >= "demographic"."dod_year" | 0.191406 |
CREATE TABLE table_20630 ("#" FLOAT, "Date" CLOB, "at/vs." CLOB, "Opponent" CLOB, "Score" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Name the most number for new england blazers | SELECT MAX("#") FROM table_20630 WHERE "Opponent" = 'New England Blazers' | SELECT MAX("#") FROM "table_20630" WHERE "Opponent" = 'New England Blazers' | 0.073242 |
CREATE TABLE table_name_27 (home VARCHAR2, date VARCHAR2)
| What is the home team of the April 14 game? | SELECT home FROM table_name_27 WHERE date = "april 14" | SELECT "home" FROM "table_name_27" WHERE "april 14" = "date" | 0.058594 |
CREATE TABLE table_name_39 (date VARCHAR2, home VARCHAR2)
| Home of buffalo happened on what date? | SELECT date FROM table_name_39 WHERE home = "buffalo" | SELECT "date" FROM "table_name_39" WHERE "buffalo" = "home" | 0.057617 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For all employees who have the letters D or S in their first name, draw a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by time. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' | 0.109375 |
CREATE TABLE table_name_63 (record VARCHAR2, time VARCHAR2)
| What is the record with a 3:56 time? | SELECT record FROM table_name_63 WHERE time = "3:56" | SELECT "record" FROM "table_name_63" WHERE "3:56" = "time" | 0.056641 |
CREATE TABLE table_204_232 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| which countries won the least amount of medals ? | SELECT "nation" FROM table_204_232 WHERE "total" = (SELECT MIN("total") FROM table_204_232) | SELECT "nation" FROM "table_204_232" WHERE "total" = (SELECT MIN("total") FROM "table_204_232") | 0.092773 |
CREATE TABLE table_train_232 ("id" NUMBER, "metastatic_cancer" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "diabetic" CLOB, "short_life_expectancy" BOOLEAN, "body_mass_index_bmi" FLOAT, "a1c" FLOAT, "NOUSE" FLOAT)
| hba1c < 8 % | SELECT * FROM table_train_232 WHERE hemoglobin_a1c_hba1c < 8 | SELECT * FROM "table_train_232" WHERE "hemoglobin_a1c_hba1c" < 8 | 0.0625 |
CREATE TABLE table_54280 ("IWCR No." CLOB, "Name" CLOB, "Wheel arrangement" CLOB, "SR No." CLOB, "Year made" FLOAT, "Year withdrawn" FLOAT)
| What is the mean Year when the IWCR number was 5 and the Year withdrawn was bigger than 1926? | SELECT AVG("Year made") FROM table_54280 WHERE "IWCR No." = '5' AND "Year withdrawn" > '1926' | SELECT AVG("Year made") FROM "table_54280" WHERE "IWCR No." = '5' AND "Year withdrawn" > '1926' | 0.092773 |
CREATE TABLE table_name_19 (result VARCHAR2, year VARCHAR2, competition VARCHAR2)
| what is the result for the world group, semifinals after the year 1997? | SELECT result FROM table_name_19 WHERE year > 1997 AND competition = "world group, semifinals" | SELECT "result" FROM "table_name_19" WHERE "competition" = "world group, semifinals" AND "year" > 1997 | 0.099609 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients whose admission type is emergency and primary disease is coronary artery disease\coronary artery bypass graft with mvr; ? maze? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" = "demographic"."diagnosis" AND "EMERGENCY" = "demographic"."admission_type" | 0.217773 |
CREATE TABLE table_71881 ("Representative" CLOB, "Title" CLOB, "Presentation of Credentials" CLOB, "Termination of Mission" CLOB, "Appointed by" CLOB)
| What is the title of the representative appointed by James K. Polk? | SELECT "Title" FROM table_71881 WHERE "Appointed by" = 'james k. polk' | SELECT "Title" FROM "table_71881" WHERE "Appointed by" = 'james k. polk' | 0.070313 |
CREATE TABLE table_1342359_5 (district VARCHAR2, party VARCHAR2)
| what's the districtwith party being democratic | SELECT district FROM table_1342359_5 WHERE party = "Democratic" | SELECT "district" FROM "table_1342359_5" WHERE "Democratic" = "party" | 0.067383 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| show the number of patients who have undergone int inser lead atri-vent in 2103? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'int inser lead atri-vent') AND STRFTIME('%y', procedures_icd.charttime) = '2103') | WITH "_u_1" AS (SELECT "procedures_icd"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'int inser lead atri-vent' WHERE STRFTIME('%y', "procedures_icd"."charttime") = '2103' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.452148 |
CREATE TABLE table_25594271_1 (state_country VARCHAR2, race_number VARCHAR2)
| what are all the state/nation where the race number is 36 | SELECT state_country FROM table_25594271_1 WHERE race_number = "36" | SELECT "state_country" FROM "table_25594271_1" WHERE "36" = "race_number" | 0.071289 |
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
| Name the courses that count as upper level electives . | SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' | 0.205078 |
CREATE TABLE table_name_42 (laps VARCHAR2, grid VARCHAR2)
| How many total laps for a grid of 3? | SELECT COUNT(laps) FROM table_name_42 WHERE grid = 3 | SELECT COUNT("laps") FROM "table_name_42" WHERE "grid" = 3 | 0.056641 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| since 2105, how many times patient 002-67875 visited hospital? | SELECT COUNT(DISTINCT patient.patienthealthsystemstayid) FROM patient WHERE patient.uniquepid = '002-67875' AND STRFTIME('%y', patient.hospitaladmittime) >= '2105' | SELECT COUNT(DISTINCT "patient"."patienthealthsystemstayid") FROM "patient" WHERE "patient"."uniquepid" = '002-67875' AND STRFTIME('%y', "patient"."hospitaladmittime") >= '2105' | 0.172852 |
CREATE TABLE table_57626 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score" CLOB)
| On 27 July 2003 what was the outcome of the game that resulted in a score of 7 5, 6 3? | SELECT "Outcome" FROM table_57626 WHERE "Score" = '7–5, 6–3' AND "Date" = '27 july 2003' | SELECT "Outcome" FROM "table_57626" WHERE "Date" = '27 july 2003' AND "Score" = '7–5, 6–3' | 0.087891 |
CREATE TABLE table_62396 ("Harmonic" FLOAT, "Ratio" CLOB, "Cents" FLOAT, "12ET Cents" CLOB, "53ET Commas" FLOAT, "53ET Cents" FLOAT)
| What is the sum of cents that has 53ET cents less than 113.21, and a harmonic more than 1? | SELECT SUM("Cents") FROM table_62396 WHERE "53ET Cents" < '113.21' AND "Harmonic" > '1' | SELECT SUM("Cents") FROM "table_62396" WHERE "53ET Cents" < '113.21' AND "Harmonic" > '1' | 0.086914 |
CREATE TABLE table_26267607_2 (circuit VARCHAR2, round VARCHAR2)
| Round 1 is in what circuit? | SELECT circuit FROM table_26267607_2 WHERE round = "1" | SELECT "circuit" FROM "table_26267607_2" WHERE "1" = "round" | 0.058594 |
CREATE TABLE table_45911 ("Winner" CLOB, "Country" CLOB, "Winter Olympics" CLOB, "FIS Nordic World Ski Championships" CLOB, "Holmenkollen" CLOB)
| Which Country has a Winter Olympics of 1948? | SELECT "Country" FROM table_45911 WHERE "Winter Olympics" = '1948' | SELECT "Country" FROM "table_45911" WHERE "Winter Olympics" = '1948' | 0.066406 |
CREATE TABLE table_2226817_4 (original_air_date VARCHAR2, production_code VARCHAR2)
| Name the original air date for 3.04 production code | SELECT original_air_date FROM table_2226817_4 WHERE production_code = "3.04" | SELECT "original_air_date" FROM "table_2226817_4" WHERE "3.04" = "production_code" | 0.080078 |
CREATE TABLE table_203_534 (id NUMBER, "week" NUMBER, "date" CLOB, "opponent" CLOB, "home/away" CLOB, "result" CLOB, "bye" CLOB)
| when was the first away game ? | SELECT "date" FROM table_203_534 WHERE "home/away" = 'away' ORDER BY "date" LIMIT 1 | SELECT "date" FROM "table_203_534" WHERE "home/away" = 'away' ORDER BY "date" FETCH FIRST 1 ROWS ONLY | 0.098633 |
CREATE TABLE table_64697 ("Player" CLOB, "Matches" CLOB, "Runs" CLOB, "Balls" CLOB, "Strike Rate" CLOB, "Average" CLOB, "100s" CLOB)
| What runs has 11 matches, and 2 as the 100s? | SELECT "Runs" FROM table_64697 WHERE "Matches" = '11' AND "100s" = '2' | SELECT "Runs" FROM "table_64697" WHERE "100s" = '2' AND "Matches" = '11' | 0.070313 |
CREATE TABLE table_name_73 (result VARCHAR2, role VARCHAR2, year VARCHAR2)
| What was the result for the role of Ellie Greenwich in 2005? | SELECT result FROM table_name_73 WHERE role = "ellie greenwich" AND year = "2005" | SELECT "result" FROM "table_name_73" WHERE "2005" = "year" AND "ellie greenwich" = "role" | 0.086914 |
CREATE TABLE table_66815 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" FLOAT, "To par" CLOB)
| Who is from Spain with a to par of e? | SELECT "Player" FROM table_66815 WHERE "To par" = 'e' AND "Country" = 'spain' | SELECT "Player" FROM "table_66815" WHERE "Country" = 'spain' AND "To par" = 'e' | 0.077148 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| when did patient 59002 have the last test for microbiology until 10 months ago? | SELECT microbiologyevents.charttime FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 59002) AND DATETIME(microbiologyevents.charttime) <= DATETIME(CURRENT_TIME(), '-10 month') ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 59002 GROUP BY "hadm_id") SELECT "microbiologyevents"."charttime" FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE DATETIME("microbiologyevents"."charttime") <= DATETIME(CURRENT_TIME(), '-10 month') AND NOT "_u_0"."" IS NULL ORDER BY "microbiologyevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.435547 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, return a scatter chart about the correlation between price and manufacturer , and group by attribute name. | SELECT T1.Price, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Name | SELECT "T1"."Price", "T1"."Manufacturer" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Name" | 0.136719 |
CREATE TABLE train_station (Train_ID NUMBER, Station_ID NUMBER)
CREATE TABLE train (Train_ID NUMBER, Name CLOB, Time CLOB, Service CLOB)
CREATE TABLE station (Station_ID NUMBER, Name CLOB, Annual_entry_exit FLOAT, Annual_interchanges FLOAT, Total_Passengers FLOAT, Location CLOB, Main_Services CLOB, Number_of_Platforms NUMBER)
| How many locations? Draw a bar chart, could you sort X-axis in descending order? | SELECT Location, COUNT(Location) FROM station GROUP BY Location ORDER BY Location DESC | SELECT "Location", COUNT("Location") FROM "station" GROUP BY "Location" ORDER BY "Location" DESC | 0.09375 |
CREATE TABLE table_79879 ("Tournament" CLOB, "Wins" FLOAT, "Top-10" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| For events with under 3 times played and fewer than 1 cut made, what is the total number of top-10 finishes? | SELECT COUNT("Top-10") FROM table_79879 WHERE "Events" < '3' AND "Cuts made" < '1' | SELECT COUNT("Top-10") FROM "table_79879" WHERE "Cuts made" < '1' AND "Events" < '3' | 0.082031 |
CREATE TABLE table_16337329_5 (injunctive VARCHAR2, past_habitual VARCHAR2)
| Name the injunctive for garyo 'he did | SELECT injunctive FROM table_16337329_5 WHERE past_habitual = "गर्यो garyo 'he did'" | SELECT "injunctive" FROM "table_16337329_5" WHERE "past_habitual" = "गर्यो garyo 'he did'" | 0.087891 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose days of hospital stay is greater than 17 and diagnoses long title is diabetes with renal manifestations, type i [juvenile type], not stated as uncontrolled? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "17" AND diagnoses.long_title = "Diabetes with renal manifestations, type I [juvenile type], not stated as uncontrolled" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Diabetes with renal manifestations, type I [juvenile type], not stated as uncontrolled" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "17" < "demographic"."days_stay" | 0.288086 |
CREATE TABLE member_of_club (clubid VARCHAR2, stuid VARCHAR2)
CREATE TABLE club (clubname VARCHAR2, clubid VARCHAR2)
CREATE TABLE student (stuid VARCHAR2, city_code VARCHAR2)
| Find the names of the clubs that have at least a member from the city with city code 'HOU'. | SELECT DISTINCT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.city_code = "HOU" | SELECT DISTINCT "t1"."clubname" FROM "club" "t1" JOIN "member_of_club" "t2" ON "t1"."clubid" = "t2"."clubid" JOIN "student" "t3" ON "HOU" = "t3"."city_code" AND "t2"."stuid" = "t3"."stuid" | 0.183594 |
CREATE TABLE table_name_16 (region VARCHAR2, venue VARCHAR2)
| In which region is the Thompson-Boling arena located? | SELECT region FROM table_name_16 WHERE venue = "thompson-boling arena" | SELECT "region" FROM "table_name_16" WHERE "thompson-boling arena" = "venue" | 0.074219 |
CREATE TABLE table_12343 ("17th c." CLOB, "American" CLOB, "British" CLOB, "Australian" CLOB, "Examples" CLOB)
| What is Australian, when Examples is 'elysium, emeritus, epitome, erotica'? | SELECT "Australian" FROM table_12343 WHERE "Examples" = 'elysium, emeritus, epitome, erotica' | SELECT "Australian" FROM "table_12343" WHERE "Examples" = 'elysium, emeritus, epitome, erotica' | 0.092773 |
CREATE TABLE table_78027 ("Code" FLOAT, "Type" CLOB, "Name" CLOB, "Area ( km 2 ) " FLOAT, "Population" FLOAT, "Regional County Municipality" CLOB, "Region" FLOAT)
| What type has a population of 370? | SELECT "Type" FROM table_78027 WHERE "Population" = '370' | SELECT "Type" FROM "table_78027" WHERE "Population" = '370' | 0.057617 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| has patient 3677 had any procedures undergone in the last hospital encounter? | SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3677 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 3677 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT COUNT(*) > 0 FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.353516 |
CREATE TABLE finrev_fed_17 (state_code NUMBER, idcensus NUMBER, school_district CLOB, nces_id CLOB, yr_data NUMBER, t_fed_rev NUMBER, c14 NUMBER, c25 NUMBER)
CREATE TABLE ndecoreexcel_math_grade8 (year NUMBER, state CLOB, all_students CLOB, average_scale_score NUMBER)
CREATE TABLE finrev_fed_key_17 (state_code NUMBER, state CLOB)
| Which state get the highest revenue? | SELECT T2.state FROM finrev_fed_key_17 AS T2 JOIN finrev_fed_17 AS T1 ON T1.state_code = T2.state_code GROUP BY T2.state ORDER BY SUM(t_fed_rev) DESC LIMIT 1 | SELECT "T2"."state" FROM "finrev_fed_key_17" "T2" JOIN "finrev_fed_17" "T1" ON "T1"."state_code" = "T2"."state_code" GROUP BY "T2"."state" ORDER BY SUM("t_fed_rev") DESC FETCH FIRST 1 ROWS ONLY | 0.188477 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is average age of patients whose age is greater than or equal to 89 and admission year is greater than or equal to 2182? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.age >= "89" AND demographic.admityear >= "2182" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "2182" <= "demographic"."admityear" AND "89" <= "demographic"."age" | 0.121094 |
CREATE TABLE table_name_98 (australian_national_kennel_council_toy_dogs_group VARCHAR2, the_kennel_club__uk__toy_group VARCHAR2)
| What is the Australian National Kennel Council Toy Dogs Group with papillon as the Kennel Club breed? | SELECT australian_national_kennel_council_toy_dogs_group FROM table_name_98 WHERE the_kennel_club__uk__toy_group = "papillon" | SELECT "australian_national_kennel_council_toy_dogs_group" FROM "table_name_98" WHERE "papillon" = "the_kennel_club__uk__toy_group" | 0.12793 |
CREATE TABLE table_test_28 ("id" NUMBER, "positive_shock_index" BOOLEAN, "anemia" BOOLEAN, "serum_potassium" FLOAT, "left_ventricular_ejection_fraction_lvef" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "malignant_hypertension" BOOLEAN, "severe_hypertension" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "allergy_to_thienopyridine" BOOLEAN, "platelets" NUMBER, "neutrophil_count" NUMBER, "renal_disease" BOOLEAN, "hepatic_disease" BOOLEAN, "allergy_to_aspirin" BOOLEAN, "creatinine_clearance_cl" FLOAT, "neutropenia" NUMBER, "estimated_glomerular_filtration_rate_egfr" NUMBER, "cardiogenic_shock" BOOLEAN, "allergy_to_heparin" BOOLEAN, "platelet_count" FLOAT, "thrombocytopenia" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "serum_creatinine" FLOAT, "catecholamine_support" BOOLEAN, "NOUSE" FLOAT)
| known severe hepatic dysfunction | SELECT * FROM table_test_28 WHERE hepatic_disease = 1 | SELECT * FROM "table_test_28" WHERE "hepatic_disease" = 1 | 0.055664 |
CREATE TABLE table_35286 ("Date" CLOB, "Opponents" CLOB, "Venue" CLOB, "Result" CLOB, "Score F\\u2013A" CLOB)
| Opponents of sheffield wednesday had what date? | SELECT "Date" FROM table_35286 WHERE "Opponents" = 'sheffield wednesday' | SELECT "Date" FROM "table_35286" WHERE "Opponents" = 'sheffield wednesday' | 0.072266 |
CREATE TABLE table_train_152 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "creatinine_clearance_cl" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "total_cholesterol" NUMBER, "urine_protein" NUMBER, "proteinuria" NUMBER, "NOUSE" FLOAT)
| systolic blood pressure > 145 mm hg at rest | SELECT * FROM table_train_152 WHERE systolic_blood_pressure_sbp > 145 | SELECT * FROM "table_train_152" WHERE "systolic_blood_pressure_sbp" > 145 | 0.071289 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the primary disease and drug dose of subject id 18480? | SELECT demographic.diagnosis, prescriptions.drug_dose FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "18480" | SELECT "demographic"."diagnosis", "prescriptions"."drug_dose" FROM "demographic" JOIN "prescriptions" ON "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "18480" = "demographic"."subject_id" | 0.194336 |
CREATE TABLE table_name_28 (socket VARCHAR2, part_number_s_ VARCHAR2)
| What kind of socket is on the microprocessor with a part number of 80526pz533256? | SELECT socket FROM table_name_28 WHERE part_number_s_ = "80526pz533256" | SELECT "socket" FROM "table_name_28" WHERE "80526pz533256" = "part_number_s_" | 0.075195 |
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_date DATETIME, order_status_code VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, order_quantity VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_number VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, line_1_number_building VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2)
CREATE TABLE Customer_Address_History (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Contacts (contact_id NUMBER, customer_id NUMBER, gender VARCHAR2, first_name VARCHAR2, last_name VARCHAR2, contact_phone VARCHAR2)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price DOUBLE PRECISION)
| Show the number of customer address history for each city in a bar chart, and rank by the X in ascending. | SELECT T3.city, COUNT(T3.city) FROM Customer_Address_History AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id JOIN Addresses AS T3 ON T1.address_id = T3.address_id GROUP BY T3.city ORDER BY T3.city | SELECT "T3"."city", COUNT("T3"."city") FROM "Customer_Address_History" "T1" JOIN "Customers" "T2" ON "T1"."customer_id" = "T2"."customer_id" JOIN "Addresses" "T3" ON "T1"."address_id" = "T3"."address_id" GROUP BY "T3"."city" ORDER BY "T3"."city" | 0.239258 |
CREATE TABLE table_12834315_5 (bayonet_lug VARCHAR2, barrel_profile VARCHAR2, name VARCHAR2)
| What is the bayonet lug status for a m4 hbar and m4le carbine equipped? | SELECT bayonet_lug FROM table_12834315_5 WHERE barrel_profile = "M4 HBAR" AND name = "M4LE Carbine" | SELECT "bayonet_lug" FROM "table_12834315_5" WHERE "M4 HBAR" = "barrel_profile" AND "M4LE Carbine" = "name" | 0.104492 |
CREATE TABLE table_67712 ("Status" CLOB, "Name" CLOB, "First Performance" CLOB, "Last Performance" CLOB, "Style" CLOB)
| What is the First Performance when the status is past and the style was ballet, tap? | SELECT "First Performance" FROM table_67712 WHERE "Status" = 'past' AND "Style" = 'ballet, tap' | SELECT "First Performance" FROM "table_67712" WHERE "Status" = 'past' AND "Style" = 'ballet, tap' | 0.094727 |
CREATE TABLE table_70232 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| Which engine has a Chassis of lotus 44 f2? | SELECT "Engine" FROM table_70232 WHERE "Chassis" = 'lotus 44 f2' | SELECT "Engine" FROM "table_70232" WHERE "Chassis" = 'lotus 44 f2' | 0.064453 |
CREATE TABLE table_203_701 (id NUMBER, "#" NUMBER, "title" CLOB, "featured guest ( s ) " CLOB, "producer ( s ) " CLOB, "length" CLOB)
| what is the title of the song before track # 4 | SELECT "title" FROM table_203_701 WHERE "#" = 4 - 1 | SELECT "title" FROM "table_203_701" WHERE "#" = 3 | 0.047852 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what number of married patients underwent the procedure titled radiotherapeut proc nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "MARRIED" AND procedures.short_title = "Radiotherapeut proc NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Radiotherapeut proc NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.240234 |
CREATE TABLE table_name_48 (date VARCHAR2, partner VARCHAR2)
| what date was giulia casoni the partner? | SELECT date FROM table_name_48 WHERE partner = "giulia casoni" | SELECT "date" FROM "table_name_48" WHERE "giulia casoni" = "partner" | 0.066406 |
CREATE TABLE table_14342367_7 (points VARCHAR2, player VARCHAR2)
| How many points did Albert Herrnstein make? | SELECT points FROM table_14342367_7 WHERE player = "Albert Herrnstein" | SELECT "points" FROM "table_14342367_7" WHERE "Albert Herrnstein" = "player" | 0.074219 |
CREATE TABLE table_29497 ("No." FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| which number lists the production code as 2j5809 | SELECT "No." FROM table_29497 WHERE "Production code" = '2J5809' | SELECT "No." FROM "table_29497" WHERE "Production code" = '2J5809' | 0.064453 |
CREATE TABLE table_name_47 (substrate VARCHAR2, omim VARCHAR2)
| Which substrate has an OMIM of 176000? | SELECT substrate FROM table_name_47 WHERE omim = 176000 | SELECT "substrate" FROM "table_name_47" WHERE "omim" = 176000 | 0.05957 |
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
| Vote Ratio Over Time By Post Type. | SELECT COUNT(Votes.Id) AS "Count", VoteTypeId, PostTypeId FROM Votes INNER JOIN Posts ON Posts.Id = Votes.PostId WHERE Votes.CreationDate > GETUTCDATE() - 3 AND (VoteTypeId = 2 OR VoteTypeId = 3) GROUP BY VoteTypeId, Posts.PostTypeId | SELECT COUNT("Votes"."Id") AS "Count", "VoteTypeId", "PostTypeId" FROM "Votes" JOIN "Posts" ON "Posts"."Id" = "Votes"."PostId" WHERE ("VoteTypeId" = 2 OR "VoteTypeId" = 3) AND "Votes"."CreationDate" > GETUTCDATE() - 3 GROUP BY "VoteTypeId", "Posts"."PostTypeId" | 0.254883 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, find job_id and the average of department_id , and group by attribute job_id, and visualize them by a bar chart, display from high to low by the total number. | SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY AVG(DEPARTMENT_ID) DESC | SELECT "JOB_ID", AVG("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY AVG("DEPARTMENT_ID") DESC | 0.257813 |
CREATE TABLE train_station (train_id NUMBER, station_id NUMBER)
CREATE TABLE station (station_id NUMBER, name CLOB, annual_entry_exit NUMBER, annual_interchanges NUMBER, total_passengers NUMBER, location CLOB, main_services CLOB, number_of_platforms NUMBER)
CREATE TABLE train (train_id NUMBER, name CLOB, time CLOB, service CLOB)
| Show the station name with greatest number of trains. | SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id GROUP BY T1.station_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T2"."name" FROM "train_station" "T1" JOIN "station" "T2" ON "T1"."station_id" = "T2"."station_id" GROUP BY "T1"."station_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.174805 |
Subsets and Splits