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CREATE TABLE table_41893 ("Name" CLOB, "Level" FLOAT, "Digits" FLOAT, "Average size ( square miles ) " CLOB, "Number of HUs ( approximate ) " FLOAT, "Example name" CLOB, "Example code ( HUC ) " FLOAT)
| What is the mean huc example code when the example name's lower snake, there are 6 digits, and less than 3 levels? | SELECT AVG("Example code (HUC)") FROM table_41893 WHERE "Example name" = 'lower snake' AND "Digits" = '6' AND "Level" < '3' | SELECT AVG("Example code (HUC)") FROM "table_41893" WHERE "Digits" = '6' AND "Example name" = 'lower snake' AND "Level" < '3' | 0.12207 |
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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
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 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
| from WASHINGTON to ATLANTA | 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 = 'WASHINGTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | 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" = 'WASHINGTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 0.485352 |
CREATE TABLE table_43247 ("Year" FLOAT, "Coach" CLOB, "Captain" CLOB, "Runner-up" CLOB, "Score" CLOB)
| When the Score was kapunda 7-7-49 angaston 6-8-44, who was the Runner-up? | SELECT "Runner-up" FROM table_43247 WHERE "Score" = 'kapunda 7-7-49 angaston 6-8-44' | SELECT "Runner-up" FROM "table_43247" WHERE "Score" = 'kapunda 7-7-49 angaston 6-8-44' | 0.083984 |
CREATE TABLE drivers (driverId NUMBER, driverRef CLOB, number CLOB, code CLOB, forename CLOB, surname CLOB, dob CLOB, nationality CLOB, url CLOB)
CREATE TABLE lapTimes (raceId NUMBER, driverId NUMBER, lap NUMBER, position NUMBER, time CLOB, milliseconds NUMBER)
CREATE TABLE qualifying (qualifyId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, position NUMBER, q1 CLOB, q2 CLOB, q3 CLOB)
CREATE TABLE constructors (constructorId NUMBER, constructorRef CLOB, name CLOB, nationality CLOB, url CLOB)
CREATE TABLE results (resultId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, grid NUMBER, position CLOB, positionText CLOB, positionOrder NUMBER, points FLOAT, laps CLOB, time CLOB, milliseconds CLOB, fastestLap CLOB, rank CLOB, fastestLapTime CLOB, fastestLapSpeed CLOB, statusId NUMBER)
CREATE TABLE pitStops (raceId NUMBER, driverId NUMBER, stop NUMBER, lap NUMBER, time CLOB, duration CLOB, milliseconds NUMBER)
CREATE TABLE constructorStandings (constructorStandingsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE status (statusId NUMBER, status CLOB)
CREATE TABLE driverStandings (driverStandingsId NUMBER, raceId NUMBER, driverId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE seasons (year NUMBER, url CLOB)
CREATE TABLE constructorResults (constructorResultsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, status CLOB)
CREATE TABLE circuits (circuitId NUMBER, circuitRef CLOB, name CLOB, location CLOB, country CLOB, lat FLOAT, lng FLOAT, alt CLOB, url CLOB)
CREATE TABLE races (raceId NUMBER, year NUMBER, round NUMBER, circuitId NUMBER, name CLOB, date CLOB, time CLOB, url CLOB)
| How many races that had any driver whose forename is Lewis? Show me a line chart. | SELECT year, COUNT(year) FROM results AS T1 JOIN races AS T2 ON T1.raceId = T2.raceId JOIN drivers AS T3 ON T1.driverId = T3.driverId WHERE T3.forename = "Lewis" GROUP BY year | SELECT "year", COUNT("year") FROM "results" "T1" JOIN "races" "T2" ON "T1"."raceId" = "T2"."raceId" JOIN "drivers" "T3" ON "Lewis" = "T3"."forename" AND "T1"."driverId" = "T3"."driverId" GROUP BY "year" | 0.197266 |
CREATE TABLE table_56685 ("Route Name" CLOB, "Direction" CLOB, "Termini" CLOB, "Junctions" CLOB, "Length" CLOB, "Population Area" CLOB)
| What's the length of route FM 2895 with junctions sh 359 us 59? | SELECT "Length" FROM table_56685 WHERE "Junctions" = 'sh 359 us 59' AND "Route Name" = 'fm 2895' | SELECT "Length" FROM "table_56685" WHERE "Junctions" = 'sh 359 us 59' AND "Route Name" = 'fm 2895' | 0.095703 |
CREATE TABLE Ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Built_Year FLOAT, Class CLOB, Flag CLOB)
CREATE TABLE captain (Captain_ID NUMBER, Name CLOB, Ship_ID NUMBER, age CLOB, Class CLOB, Rank CLOB)
| What are the different ship flags, and how many ships have each. Show a pie chart. | SELECT Flag, COUNT(*) FROM Ship GROUP BY Flag | SELECT "Flag", COUNT(*) FROM "Ship" GROUP BY "Flag" | 0.049805 |
CREATE TABLE table_38210 ("Character Name" CLOB, "Voice Actor ( Japanese ) " CLOB, "Voice Actor ( English 1997 / Saban ) " CLOB, "Voice Actor ( English 1998 / Pioneer ) " CLOB, "Voice Actor ( English 2006 / FUNimation ) " CLOB)
| what character did Masaharu satou play | SELECT "Character Name" FROM table_38210 WHERE "Voice Actor (Japanese)" = 'masaharu satou' | SELECT "Character Name" FROM "table_38210" WHERE "Voice Actor (Japanese)" = 'masaharu satou' | 0.089844 |
CREATE TABLE table_79473 ("Draw" FLOAT, "Artist" CLOB, "Song" CLOB, "Percentage" CLOB, "Place" FLOAT)
| what is the highest draw when the place is less than 3 and the percentage is 30.71%? | SELECT MAX("Draw") FROM table_79473 WHERE "Place" < '3' AND "Percentage" = '30.71%' | SELECT MAX("Draw") FROM "table_79473" WHERE "Percentage" = '30.71%' AND "Place" < '3' | 0.083008 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what were the five most frequent drugs prescribed to male patients of the 20s in the same month after they had been diagnosed with other lung disease nec, this year? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'other lung disease nec') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'm') AND admissions.age BETWEEN 20 AND 29 AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5 | WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'm' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 29 AND "admissions"."age" >= 20 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'other lung disease nec' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 1.279297 |
CREATE TABLE table_28846752_9 (matches NUMBER, bbi VARCHAR2)
| What the number of matches when the BBI is 3/27? | SELECT MIN(matches) FROM table_28846752_9 WHERE bbi = "3/27" | SELECT MIN("matches") FROM "table_28846752_9" WHERE "3/27" = "bbi" | 0.064453 |
CREATE TABLE table_52678 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Series" CLOB)
| Which game has a high rebound of Evans (7) and a high assist of Evans, Ollie (3)? | SELECT MAX("Game") FROM table_52678 WHERE "High rebounds" = 'evans (7)' AND "High assists" = 'evans, ollie (3)' | SELECT MAX("Game") FROM "table_52678" WHERE "High assists" = 'evans, ollie (3)' AND "High rebounds" = 'evans (7)' | 0.110352 |
CREATE TABLE table_name_64 (club VARCHAR2, tries_for VARCHAR2)
| What club has tries for in the category tries for? | SELECT club FROM table_name_64 WHERE tries_for = "tries for" | SELECT "club" FROM "table_name_64" WHERE "tries for" = "tries_for" | 0.064453 |
CREATE TABLE table_2076533_1 (type VARCHAR2, main_location VARCHAR2)
| Name the type for mcminnville | SELECT type FROM table_2076533_1 WHERE main_location = "McMinnville" | SELECT "type" FROM "table_2076533_1" WHERE "McMinnville" = "main_location" | 0.072266 |
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
| Return the number of booking start date for the apartments that have type code 'Duplex' for each year in a bar chart. | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_type_code = "Duplex" | SELECT "booking_start_date", COUNT("booking_start_date") FROM "Apartment_Bookings" "T1" JOIN "Apartments" "T2" ON "Duplex" = "T2"."apt_type_code" AND "T1"."apt_id" = "T2"."apt_id" | 0.174805 |
CREATE TABLE table_51508 ("Squad No." FLOAT, "Name" CLOB, "Position" CLOB, "League Apps" CLOB, "League Goals" FLOAT, "FA Cup Apps" CLOB, "FA Cup Goals" FLOAT, "League Cup Apps" CLOB, "League Cup Goals" FLOAT, "FLT Apps" CLOB, "FLT Goals" FLOAT, "Total Apps" CLOB, "Total Goals" FLOAT)
| Tell me the highest league goals with total goals less than 1 and FA cups more than 0 | SELECT MAX("League Goals") FROM table_51508 WHERE "Total Goals" < '1' AND "FA Cup Goals" > '0' | SELECT MAX("League Goals") FROM "table_51508" WHERE "FA Cup Goals" > '0' AND "Total Goals" < '1' | 0.09375 |
CREATE TABLE table_203_90 (id NUMBER, "religious\ group" CLOB, "population\ %" CLOB, "growth\ ( 1991-2001 ) " CLOB, "sex ratio\ ( total ) " NUMBER, "literacy\ ( % ) " CLOB, "work participation\ ( % ) " CLOB, "sex ratio\ ( rural ) " NUMBER, "sex ratio\ ( urban ) " NUMBER, "sex ratio\ ( child ) " NUMBER)
| which is the only religious group to have a literacy rate above 90 % ? | SELECT "religious\ngroup" FROM table_203_90 WHERE "literacy\n(%)" > 90 | SELECT "religious\ngroup" FROM "table_203_90" WHERE "literacy\n(%)" > 90 | 0.070313 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
| A bar chart shows the distribution of meter_200 and the average of ID , and group by attribute meter_200, and rank in ascending by the bar. | SELECT meter_200, AVG(ID) FROM swimmer GROUP BY meter_200 ORDER BY meter_200 | SELECT "meter_200", AVG("ID") FROM "swimmer" GROUP BY "meter_200" ORDER BY "meter_200" | 0.083984 |
CREATE TABLE table_16958 ("Date" CLOB, "Tournament" CLOB, "Location" CLOB, "Purse ( $ ) " FLOAT, "Winner" CLOB, "Score" CLOB, "1st Prize ( $ ) " FLOAT)
| How many tournaments recorded a score of 206 (-7)? | SELECT COUNT("Tournament") FROM table_16958 WHERE "Score" = '206 (-7)' | SELECT COUNT("Tournament") FROM "table_16958" WHERE "Score" = '206 (-7)' | 0.070313 |
CREATE TABLE table_79237 ("Name" CLOB, "Height" CLOB, "Weight" CLOB, "Spike" CLOB, "2008 club" CLOB)
| What is the name for the 2008 club of Azs olsztyn? | SELECT "Name" FROM table_79237 WHERE "2008 club" = 'azs olsztyn' | SELECT "Name" FROM "table_79237" WHERE "2008 club" = 'azs olsztyn' | 0.064453 |
CREATE TABLE table_name_30 (year_started NUMBER, number_of_cars VARCHAR2, car__number VARCHAR2)
| Which Year started is the lowest one that has a Number of cars larger than 7, and a Car # of 100? | SELECT MIN(year_started) FROM table_name_30 WHERE number_of_cars > 7 AND car__number = "100" | SELECT MIN("year_started") FROM "table_name_30" WHERE "100" = "car__number" AND "number_of_cars" > 7 | 0.097656 |
CREATE TABLE table_46858 ("Sport" CLOB, "League" CLOB, "Club" CLOB, "Founded" FLOAT, "Venue" CLOB, "League championships" FLOAT, "Championship years" CLOB)
| Which Venue has a League of ncaa, and a Founded smaller than 1965, and a Club of penn state nittany lions men's ice hockey? | SELECT "Venue" FROM table_46858 WHERE "League" = 'ncaa' AND "Founded" < '1965' AND "Club" = 'penn state nittany lions men''s ice hockey' | SELECT "Venue" FROM "table_46858" WHERE "Club" = 'penn state nittany lions men''s ice hockey' AND "Founded" < '1965' AND "League" = 'ncaa' | 0.134766 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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_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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| when did patient 10425 first had the jackson pratt #2 output until 12/30/2105? | SELECT outputevents.charttime FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10425)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'jackson pratt #2' AND d_items.linksto = 'outputevents') AND STRFTIME('%y-%m-%d', outputevents.charttime) <= '2105-12-30' ORDER BY outputevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10425 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'jackson pratt #2' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT "outputevents"."charttime" FROM "outputevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m-%d', "outputevents"."charttime") <= '2105-12-30' ORDER BY "outputevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.798828 |
CREATE TABLE table_54611 ("Year" FLOAT, "Class" CLOB, "Team" CLOB, "Points" FLOAT, "Wins" FLOAT)
| How many wins for bikes with under 54 points, team yamaha, a 250cc bike, and before 1977? | SELECT COUNT("Wins") FROM table_54611 WHERE "Points" < '54' AND "Team" = 'yamaha' AND "Class" = '250cc' AND "Year" < '1977' | SELECT COUNT("Wins") FROM "table_54611" WHERE "Class" = '250cc' AND "Points" < '54' AND "Team" = 'yamaha' AND "Year" < '1977' | 0.12207 |
CREATE TABLE table_72537 ("Celebrity" CLOB, "Famous for" CLOB, "Entered" CLOB, "Exited" CLOB, "Finished" CLOB)
| Name the finished for exited day 13 | SELECT "Finished" FROM table_72537 WHERE "Exited" = 'Day 13' | SELECT "Finished" FROM "table_72537" WHERE "Exited" = 'Day 13' | 0.060547 |
CREATE TABLE table_15352 ("Media market name" CLOB, "Callsign" CLOB, "Analog" CLOB, "Digital" CLOB, "Affiliation" CLOB)
| what is the analog type for cw on digital 26? | SELECT "Analog" FROM table_15352 WHERE "Affiliation" = 'cw' AND "Digital" = '26' | SELECT "Analog" FROM "table_15352" WHERE "Affiliation" = 'cw' AND "Digital" = '26' | 0.080078 |
CREATE TABLE table_2683116_1 (vap VARCHAR2, valid_votes VARCHAR2)
| How many vap values are associated with 140469 valid votes? | SELECT COUNT(vap) FROM table_2683116_1 WHERE valid_votes = 140469 | SELECT COUNT("vap") FROM "table_2683116_1" WHERE "valid_votes" = 140469 | 0.069336 |
CREATE TABLE table_75862 ("Round #" FLOAT, "Pick #" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What is the College with a Round # that is 290? | SELECT "College" FROM table_75862 WHERE "Round #" = '290' | SELECT "College" FROM "table_75862" WHERE "Round #" = '290' | 0.057617 |
CREATE TABLE table_2522 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score in the final" CLOB)
| What is the latest year? | SELECT MAX("Year") FROM table_2522 | SELECT MAX("Year") FROM "table_2522" | 0.035156 |
CREATE TABLE table_name_98 (language VARCHAR2, network VARCHAR2)
| What language does the Ary Digital network broadcast in? | SELECT language FROM table_name_98 WHERE network = "ary digital" | SELECT "language" FROM "table_name_98" WHERE "ary digital" = "network" | 0.068359 |
CREATE TABLE table_204_789 (id NUMBER, "plant name" CLOB, "location" CLOB, "country" CLOB, "startup date" NUMBER, "capacity ( mmtpa ) " CLOB, "corporation" CLOB)
| qatargas ii started up the same year as what indonesian plant ? | SELECT "plant name" FROM table_204_789 WHERE "startup date" = (SELECT "startup date" FROM table_204_789 WHERE "plant name" = 'qatargas ii') AND "country" = 'indonesia' | SELECT "plant name" FROM "table_204_789" WHERE "country" = 'indonesia' AND "startup date" = (SELECT "startup date" FROM "table_204_789" WHERE "plant name" = 'qatargas ii') | 0.166992 |
CREATE TABLE table_name_50 (venue VARCHAR2, result VARCHAR2)
| What was the venue when the result was 3-2? | SELECT venue FROM table_name_50 WHERE result = "3-2" | SELECT "venue" FROM "table_name_50" WHERE "3-2" = "result" | 0.056641 |
CREATE TABLE list (lastname CLOB, firstname CLOB, grade NUMBER, classroom NUMBER)
CREATE TABLE teachers (lastname CLOB, firstname CLOB, classroom NUMBER)
| Find the classroom that the most students use. | SELECT classroom FROM list GROUP BY classroom ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "classroom" FROM "list" GROUP BY "classroom" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.095703 |
CREATE TABLE table_62653 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " CLOB)
| What's the to par for the score of 68-74-71-77=290? | SELECT "To par" FROM table_62653 WHERE "Score" = '68-74-71-77=290' | SELECT "To par" FROM "table_62653" WHERE "Score" = '68-74-71-77=290' | 0.066406 |
CREATE TABLE table_12837 ("Name" CLOB, "No. Specimens" FLOAT, "Abbr." CLOB, "Country" CLOB, "City" CLOB)
| How many specimens does the SANT institution have? | SELECT SUM("No. Specimens") FROM table_12837 WHERE "Abbr." = 'sant' | SELECT SUM("No. Specimens") FROM "table_12837" WHERE "Abbr." = 'sant' | 0.067383 |
CREATE TABLE club (clubid NUMBER, clubname CLOB, clubdesc CLOB, clublocation CLOB)
CREATE TABLE member_of_club (stuid NUMBER, clubid NUMBER, position CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
| Count the members of the club 'Tennis Club'. | SELECT COUNT(*) 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 t1.clubname = "Tennis Club" | SELECT COUNT(*) FROM "club" "t1" JOIN "member_of_club" "t2" ON "t1"."clubid" = "t2"."clubid" JOIN "student" "t3" ON "t2"."stuid" = "t3"."stuid" WHERE "Tennis Club" = "t1"."clubname" | 0.176758 |
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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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 procedures_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 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)
| calculate the number of patients discharged from hospital since 6 years ago. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE NOT admissions.dischtime IS NULL AND DATETIME(admissions.dischtime) >= DATETIME(CURRENT_TIME(), '-6 year') | SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" WHERE DATETIME("admissions"."dischtime") >= DATETIME(CURRENT_TIME(), '-6 year') AND NOT "admissions"."dischtime" IS NULL | 0.182617 |
CREATE TABLE table_203_530 (id NUMBER, "country" CLOB, "gdp ( usd bln , 2012 ) " NUMBER, "gdp ( usd bln , 2017 ) " NUMBER, "gdp ( usd ppp bln , 2012 ) " NUMBER, "gdp ( usd ppp bln , 2017 ) " NUMBER, "per capita ( usd , 2012 ) " NUMBER, "per capita ( usd , 2017 ) " NUMBER, "per capita ( usd ppp , 2012 ) " NUMBER, "per capita ( usd ppp , 2017 ) " NUMBER)
| which country had the least amount of per capita usd in 2012 ? | SELECT "country" FROM table_203_530 ORDER BY "per capita (usd, 2012)" LIMIT 1 | SELECT "country" FROM "table_203_530" ORDER BY "per capita (usd, 2012)" FETCH FIRST 1 ROWS ONLY | 0.092773 |
CREATE TABLE table_name_75 (crowd NUMBER, away_team VARCHAR2)
| What was the top crowd when essendon played away? | SELECT MAX(crowd) FROM table_name_75 WHERE away_team = "essendon" | SELECT MAX("crowd") FROM "table_name_75" WHERE "away_team" = "essendon" | 0.069336 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
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 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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)
| what is the five year survival rate of patients who have been diagnosed with congestive heart failure - combined systolic and diastolic? | SELECT SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t2.diagnosistime) > 5 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'congestive heart failure - combined systolic and diastolic' GROUP BY patient.uniquepid HAVING MIN(diagnosis.diagnosistime) = diagnosis.diagnosistime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.diagnosistime) > 5 * 365) AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid | WITH "t1" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'congestive heart failure - combined systolic and diastolic' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime")) SELECT SUM(CASE WHEN "patient"."hospitaldischargestatus" = 'alive' THEN 1 WHEN STRFTIME('%j', "patient"."hospitaldischargetime") - STRFTIME('%j', "t1"."diagnosistime") > 1825 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" "t1" JOIN "patient" ON "patient"."uniquepid" = "t1"."uniquepid" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."diagnosistime") > 1825 | 0.730469 |
CREATE TABLE Catalogs (catalog_id NUMBER, catalog_name VARCHAR2, catalog_publisher VARCHAR2, date_of_publication DATETIME, date_of_latest_revision DATETIME)
CREATE TABLE Catalog_Structure (catalog_level_number NUMBER, catalog_id NUMBER, catalog_level_name VARCHAR2)
CREATE TABLE Catalog_Contents (catalog_entry_id NUMBER, catalog_level_number NUMBER, parent_entry_id NUMBER, previous_entry_id NUMBER, next_entry_id NUMBER, catalog_entry_name VARCHAR2, product_stock_number VARCHAR2, price_in_dollars DOUBLE PRECISION, price_in_euros DOUBLE PRECISION, price_in_pounds DOUBLE PRECISION, capacity VARCHAR2, length VARCHAR2, height VARCHAR2, width VARCHAR2)
CREATE TABLE Catalog_Contents_Additional_Attributes (catalog_entry_id NUMBER, catalog_level_number NUMBER, attribute_id NUMBER, attribute_value VARCHAR2)
CREATE TABLE Attribute_Definitions (attribute_id NUMBER, attribute_name VARCHAR2, attribute_data_type VARCHAR2)
| Which catalog contents has price above 700 dollars? Show their catalog entry names and capacities in a bar chart, and show y axis in descending order. | SELECT catalog_entry_name, capacity FROM Catalog_Contents WHERE price_in_dollars > 700 ORDER BY capacity DESC | SELECT "catalog_entry_name", "capacity" FROM "Catalog_Contents" WHERE "price_in_dollars" > 700 ORDER BY "capacity" DESC | 0.116211 |
CREATE TABLE table_29626583_3 (mls_team VARCHAR2, player VARCHAR2)
| Which MLS team picked player Jason Herrick? | SELECT mls_team FROM table_29626583_3 WHERE player = "Jason Herrick" | SELECT "mls_team" FROM "table_29626583_3" WHERE "Jason Herrick" = "player" | 0.072266 |
CREATE TABLE table_2781227_7 (nhl_team VARCHAR2, player VARCHAR2)
| What NHL team picked Ryan Meade for the draft? | SELECT nhl_team FROM table_2781227_7 WHERE player = "Ryan Meade" | SELECT "nhl_team" FROM "table_2781227_7" WHERE "Ryan Meade" = "player" | 0.068359 |
CREATE TABLE table_62541 ("Year" CLOB, "Arizona" CLOB, "California" CLOB, "Colorado" CLOB, "Nevada" CLOB, "New Mexico" CLOB, "Oklahoma" CLOB, "Texas" CLOB, "Utah" CLOB)
| What's the value for oklahoma when nevada and colorado are clinton? | SELECT "Oklahoma" FROM table_62541 WHERE "Nevada" = 'clinton' AND "Colorado" = 'clinton' | SELECT "Oklahoma" FROM "table_62541" WHERE "Colorado" = 'clinton' AND "Nevada" = 'clinton' | 0.087891 |
CREATE TABLE table_11019212_1 (wednesday VARCHAR2, monday VARCHAR2)
| what's the wednesday time with monday being 10:00-8:00 | SELECT wednesday FROM table_11019212_1 WHERE monday = "10:00-8:00" | SELECT "wednesday" FROM "table_11019212_1" WHERE "10:00-8:00" = "monday" | 0.070313 |
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)
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)
| count the number of patients whose age is less than 76 and drug name is mycophenolate mofetil? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "76" AND prescriptions.drug = "Mycophenolate Mofetil" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Mycophenolate Mofetil" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "76" > "demographic"."age" | 0.224609 |
CREATE TABLE table_43474 ("Sn/Sb ( % ) " CLOB, "Liquidat ( \\u00b0C ) " FLOAT, "Solidat ( \\u00b0C ) " FLOAT, "Hardness ( Brinell ) " FLOAT, "Purpose" CLOB)
| When the Sn/Sb (%) of 13/17, and a Liquidat (c) bigger than 283 what's the solidat (c)? | SELECT SUM("Solidat (\u00b0C)") FROM table_43474 WHERE "Sn/Sb (%)" = '13/17' AND "Liquidat (\u00b0C)" > '283' | SELECT SUM("Solidat (\u00b0C)") FROM "table_43474" WHERE "Liquidat (\u00b0C)" > '283' AND "Sn/Sb (%)" = '13/17' | 0.108398 |
CREATE TABLE table_name_6 (name VARCHAR2, total VARCHAR2)
| What is the name of the person with a total of 22? | SELECT name FROM table_name_6 WHERE total = 22 | SELECT "name" FROM "table_name_6" WHERE "total" = 22 | 0.050781 |
CREATE TABLE aircraft (Aircraft_ID NUMBER, Order_Year NUMBER, Manufacturer CLOB, Model CLOB, Fleet_Series CLOB, Powertrain CLOB, Fuel_Propulsion CLOB)
CREATE TABLE pilot (Pilot_ID NUMBER, Pilot_name CLOB, Rank NUMBER, Age NUMBER, Nationality CLOB, Position CLOB, Join_Year NUMBER, Team CLOB)
CREATE TABLE pilot_record (Record_ID NUMBER, Pilot_ID NUMBER, Aircraft_ID NUMBER, Date CLOB)
| Bar chart of the number of position from each position, list by the names in desc. | SELECT Position, COUNT(Position) FROM pilot GROUP BY Position ORDER BY Position DESC | SELECT "Position", COUNT("Position") FROM "pilot" GROUP BY "Position" ORDER BY "Position" DESC | 0.091797 |
CREATE TABLE table_name_77 (goal_difference NUMBER, losses VARCHAR2, points VARCHAR2, club VARCHAR2)
| Which Goal Difference has 28 Points, and a Club of cd cartagena, more than 15 losses? | SELECT MAX(goal_difference) FROM table_name_77 WHERE points = 28 AND club = "cd cartagena" AND losses > 15 | SELECT MAX("goal_difference") FROM "table_name_77" WHERE "cd cartagena" = "club" AND "losses" > 15 AND "points" = 28 | 0.113281 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 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 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 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE month (month_number NUMBER, month_name 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 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
| list flights from CINCINNATI to SAN JOSE friday evening | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN JOSE' AND date_day.day_number = 25 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CINCINNATI' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 1800 AND 2200 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 25 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'CINCINNATI' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 2200 AND "flight"."departure_time" >= 1800 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN JOSE' | 0.771484 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_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)
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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For all employees who have the letters D or S in their first name, a bar chart shows the distribution of hire_date and the sum of salary bin hire_date by time, show from low to high by the total number. | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(SALARY) | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("SALARY") | 0.126953 |
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
| Show me the number of card type code by card type code in a histogram, display from low to high by the y axis. | SELECT card_type_code, COUNT(card_type_code) FROM Customers_Cards GROUP BY card_type_code ORDER BY COUNT(card_type_code) | SELECT "card_type_code", COUNT("card_type_code") FROM "Customers_Cards" GROUP BY "card_type_code" ORDER BY COUNT("card_type_code") | 0.126953 |
CREATE TABLE table_name_88 (year VARCHAR2, vehicle VARCHAR2)
| Which year had a vehicle of Mitsubishi? | SELECT year FROM table_name_88 WHERE vehicle = "mitsubishi" | SELECT "year" FROM "table_name_88" WHERE "mitsubishi" = "vehicle" | 0.063477 |
CREATE TABLE table_name_57 (compression_ratio VARCHAR2, dx_10_name VARCHAR2, fourcc VARCHAR2)
| Which Compression ratio has a (none) DX 10 Name and a FOURCC of dxt4? | SELECT compression_ratio FROM table_name_57 WHERE dx_10_name = "(none)" AND fourcc = "dxt4" | SELECT "compression_ratio" FROM "table_name_57" WHERE "(none)" = "dx_10_name" AND "dxt4" = "fourcc" | 0.09668 |
CREATE TABLE table_41986 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What score has ipswich town as the home team, and replay as the tie no.? | SELECT "Score" FROM table_41986 WHERE "Home team" = 'ipswich town' AND "Tie no" = 'replay' | SELECT "Score" FROM "table_41986" WHERE "Home team" = 'ipswich town' AND "Tie no" = 'replay' | 0.089844 |
CREATE TABLE table_61213 ("Date" CLOB, "Series" CLOB, "Circuit" CLOB, "City / State" CLOB, "Winner" CLOB, "Team" CLOB)
| Which circuit did winfield team nissan win for the tooheys 1000? | SELECT "Circuit" FROM table_61213 WHERE "Team" = 'winfield team nissan' AND "Series" = 'tooheys 1000' | SELECT "Circuit" FROM "table_61213" WHERE "Series" = 'tooheys 1000' AND "Team" = 'winfield team nissan' | 0.100586 |
CREATE TABLE CloseReasonTypes (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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 PostTags (PostId NUMBER, TagId NUMBER)
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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 ReviewTaskResultTypes (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)
| Custom - Responsive subscribers for a Tag. | SELECT TagName, COUNT(Id) AS numUsers FROM (SELECT t.TagName, u.Id FROM Users AS u INNER JOIN Posts AS answer ON u.Id = answer.OwnerUserId INNER JOIN Posts AS question ON answer.ParentId = question.Id INNER JOIN PostTags AS m ON question.Id = m.PostId INNER JOIN Tags AS t ON m.TagId = t.Id WHERE question.AnswerCount > 0 GROUP BY t.TagName, u.Id) AS X GROUP BY TagName ORDER BY numUsers DESC | WITH "X" AS (SELECT 1 AS "_" FROM "Users" "u" JOIN "Posts" "answer" ON "answer"."OwnerUserId" = "u"."Id" JOIN "Posts" "question" ON "answer"."ParentId" = "question"."Id" AND "question"."AnswerCount" > 0 JOIN "PostTags" "m" ON "m"."PostId" = "question"."Id" JOIN "Tags" "t" ON "m"."TagId" = "t"."Id" GROUP BY "t"."TagName", "u"."Id") SELECT "TagName", COUNT("Id") AS "numUsers" FROM "X" "X" GROUP BY "TagName" ORDER BY "numUsers" DESC | 0.422852 |
CREATE TABLE table_283203_1 (capacity VARCHAR2, club VARCHAR2)
| What is the capacity for the Home Venue of the New Zealand Breakers club? | SELECT capacity FROM table_283203_1 WHERE club = "New Zealand Breakers" | SELECT "capacity" FROM "table_283203_1" WHERE "New Zealand Breakers" = "club" | 0.075195 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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)
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 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_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| count the number of patients who have had a extracorporeal circulat procedure during the same hospital visit after having been diagnosed until 1 year ago with urin tract infection nos. | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'urin tract infection nos') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'extracorporeal circulat') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime", "admissions"."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" = 'extracorporeal circulat' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year')) SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'urin tract infection nos' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year') | 0.946289 |
CREATE TABLE table_204_678 (id NUMBER, "record" CLOB, "athlete" CLOB, "nation" CLOB, "venue" CLOB, "date" CLOB, "#" NUMBER)
| who was the next record holder after emma george won held it in 1999 ? | SELECT "athlete" FROM table_204_678 WHERE "date" > (SELECT "date" FROM table_204_678 WHERE "athlete" = 'emma george' AND "date" = 1999) ORDER BY "date" LIMIT 1 | SELECT "athlete" FROM "table_204_678" WHERE "date" > (SELECT "date" FROM "table_204_678" WHERE "athlete" = 'emma george' AND "date" = 1999) ORDER BY "date" FETCH FIRST 1 ROWS ONLY | 0.174805 |
CREATE TABLE table_52533 ("Round" FLOAT, "Overall" FLOAT, "Player" CLOB, "Nationality" CLOB, "Club team" CLOB)
| What is the highest overall for a round larger than 8 for pavol demitra? | SELECT MAX("Overall") FROM table_52533 WHERE "Round" > '8' AND "Player" = 'pavol demitra' | SELECT MAX("Overall") FROM "table_52533" WHERE "Player" = 'pavol demitra' AND "Round" > '8' | 0.088867 |
CREATE TABLE station_company (station_id NUMBER, company_id NUMBER, rank_of_the_year NUMBER)
CREATE TABLE company (company_id NUMBER, rank NUMBER, company CLOB, headquarters CLOB, main_industry CLOB, sales_billion NUMBER, profits_billion NUMBER, assets_billion NUMBER, market_value NUMBER)
CREATE TABLE gas_station (station_id NUMBER, open_year NUMBER, location CLOB, manager_name CLOB, vice_manager_name CLOB, representative_name CLOB)
| What is the minimum, maximum, and average market value for every company? | SELECT MIN(market_value), MAX(market_value), AVG(market_value) FROM company | SELECT MIN("market_value"), MAX("market_value"), AVG("market_value") FROM "company" | 0.081055 |
CREATE TABLE table_name_31 (president VARCHAR2, year VARCHAR2, date VARCHAR2)
| What is the President with a Year larger than 2011, and a Date with 23 may? | SELECT president FROM table_name_31 WHERE year > 2011 AND date = "23 may" | SELECT "president" FROM "table_name_31" WHERE "23 may" = "date" AND "year" > 2011 | 0.079102 |
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
| Show me mean cloud cover by date in a histogram, could you display the average of cloud cover in ascending order? | SELECT date, AVG(cloud_cover) FROM weather ORDER BY AVG(cloud_cover) | SELECT "date", AVG("cloud_cover") FROM "weather" ORDER BY AVG("cloud_cover") | 0.074219 |
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 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)
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)
| how many patients whose admission location is transfer from hosp/extram and age is less than 58? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND demographic.age < "58" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "58" > "demographic"."age" AND "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location" | 0.166016 |
CREATE TABLE table_name_73 (round VARCHAR2, pick__number VARCHAR2, college VARCHAR2)
| How many rounds had a pick number of more than 10 and Appalachian State as a college? | SELECT COUNT(round) FROM table_name_73 WHERE pick__number > 10 AND college = "appalachian state" | SELECT COUNT("round") FROM "table_name_73" WHERE "appalachian state" = "college" AND "pick__number" > 10 | 0.101563 |
CREATE TABLE table_56261 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What is the date of the game with the Rockets as the visitor team? | SELECT "Date" FROM table_56261 WHERE "Visitor" = 'rockets' | SELECT "Date" FROM "table_56261" WHERE "Visitor" = 'rockets' | 0.058594 |
CREATE TABLE table_80049 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| How many years had more than 0 points? | SELECT SUM("Year") FROM table_80049 WHERE "Points" > '0' | SELECT SUM("Year") FROM "table_80049" WHERE "Points" > '0' | 0.056641 |
CREATE TABLE table_19731 ("Name" CLOB, "Years" CLOB, "League" FLOAT, "FA Cup" FLOAT, "League Cup" FLOAT, "Europe" FLOAT, "Other a" FLOAT, "Total" CLOB)
| What name is associated with League 142? | SELECT "Name" FROM table_19731 WHERE "League" = '142' | SELECT "Name" FROM "table_19731" WHERE "League" = '142' | 0.053711 |
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 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)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| get the number of patients with lab test item id 50915 who are younger than 24 years. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "24" AND lab.itemid = "50915" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50915" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "24" > "demographic"."age" | 0.181641 |
CREATE TABLE table_17103645_10 (location_attendance VARCHAR2, score VARCHAR2)
| Name the location attendance for score of 65-72 | SELECT location_attendance FROM table_17103645_10 WHERE score = "65-72" | SELECT "location_attendance" FROM "table_17103645_10" WHERE "65-72" = "score" | 0.075195 |
CREATE TABLE station (id NUMBER, network_name CLOB, services CLOB, local_authority CLOB)
CREATE TABLE train (id NUMBER, train_number NUMBER, name CLOB, origin CLOB, destination CLOB, time CLOB, interval CLOB)
CREATE TABLE weekly_weather (station_id NUMBER, day_of_week CLOB, high_temperature NUMBER, low_temperature NUMBER, precipitation FLOAT, wind_speed_mph NUMBER)
CREATE TABLE route (train_id NUMBER, station_id NUMBER)
| Show a bar graph, the data is those times of trains that run through stations for the local authority Chiltern, and the Y axis is the total number of different times, I want to rank by the y axis in asc. | SELECT time, COUNT(time) FROM station AS t1 JOIN route AS t2 ON t1.id = t2.station_id JOIN train AS t3 ON t2.train_id = t3.id WHERE t1.local_authority = "Chiltern" GROUP BY time ORDER BY COUNT(time) | SELECT "time", COUNT("time") FROM "station" "t1" JOIN "route" "t2" ON "t1"."id" = "t2"."station_id" JOIN "train" "t3" ON "t2"."train_id" = "t3"."id" WHERE "Chiltern" = "t1"."local_authority" GROUP BY "time" ORDER BY COUNT("time") | 0.223633 |
CREATE TABLE table_name_30 (surface VARCHAR2, tournament VARCHAR2)
| What type of surface did the tournament canada f9, markham have? | SELECT surface FROM table_name_30 WHERE tournament = "canada f9, markham" | SELECT "surface" FROM "table_name_30" WHERE "canada f9, markham" = "tournament" | 0.077148 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| has patient 66015 got any lab test since 10/2103? | SELECT COUNT(*) > 0 FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 66015) AND STRFTIME('%y-%m', labevents.charttime) >= '2103-10' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 66015 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") >= '2103-10' | 0.301758 |
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description 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 ReviewTaskResultTypes (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 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 PostTags (PostId NUMBER, TagId NUMBER)
| top 100 users by reputation who haven't asked any questions. | SELECT Ranking = ROW_NUMBER() OVER (ORDER BY Reputation DESC), u.Id AS "user_link", u.Reputation FROM Users AS u WHERE u.Id NOT IN (SELECT DISTINCT OwnerUserId FROM Posts WHERE PostTypeId = 1 AND OwnerUserId != '') ORDER BY u.Reputation DESC LIMIT 100 | SELECT "Ranking" = ROW_NUMBER() OVER (ORDER BY "Reputation" DESC), "u"."Id" AS "user_link", "u"."Reputation" FROM "Users" "u" WHERE NOT "u"."Id" IN (SELECT DISTINCT "OwnerUserId" FROM "Posts" WHERE "OwnerUserId" <> '' AND "PostTypeId" = 1) ORDER BY "u"."Reputation" DESC FETCH FIRST 100 ROWS ONLY | 0.289063 |
CREATE TABLE table_name_17 (pick VARCHAR2, player VARCHAR2, round VARCHAR2)
| Which Pick has a Player of renaldo wynn, and a Round smaller than 1? | SELECT COUNT(pick) FROM table_name_17 WHERE player = "renaldo wynn" AND round < 1 | SELECT COUNT("pick") FROM "table_name_17" WHERE "player" = "renaldo wynn" AND "round" < 1 | 0.086914 |
CREATE TABLE table_6545 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What week of the season had a date of october 5, 1975? | SELECT MIN("Week") FROM table_6545 WHERE "Date" = 'october 5, 1975' | SELECT MIN("Week") FROM "table_6545" WHERE "Date" = 'october 5, 1975' | 0.067383 |
CREATE TABLE table_40811 ("Frequency" CLOB, "Station" CLOB, "Operator" CLOB, "Language" CLOB, "Genre" CLOB, "Coverage Area" CLOB)
| What is the coverage area of muzik fm station, which has a music genre? | SELECT "Coverage Area" FROM table_40811 WHERE "Genre" = 'music' AND "Station" = 'muzik fm' | SELECT "Coverage Area" FROM "table_40811" WHERE "Genre" = 'music' AND "Station" = 'muzik fm' | 0.089844 |
CREATE TABLE table_18478 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| John W. Heselton was first elected in what year? | SELECT MAX("First elected") FROM table_18478 WHERE "Incumbent" = 'John W. Heselton' | SELECT MAX("First elected") FROM "table_18478" WHERE "Incumbent" = 'John W. Heselton' | 0.083008 |
CREATE TABLE table_16113 ("Season" CLOB, "Series" CLOB, "Team" CLOB, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F/Laps" FLOAT, "Podiums" FLOAT, "Points" FLOAT, "Position" CLOB)
| What is the number of wins for gp2 series for racing engineering? | SELECT COUNT("Wins") FROM table_16113 WHERE "Series" = 'GP2 Series' AND "Team" = 'Racing Engineering' | SELECT COUNT("Wins") FROM "table_16113" WHERE "Series" = 'GP2 Series' AND "Team" = 'Racing Engineering' | 0.100586 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| how many days have elapsed since patient 015-59552 was admitted to hospital for? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.hospitaladmittime)) FROM patient WHERE patient.uniquepid = '015-59552' AND patient.hospitaldischargetime IS NULL | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "patient"."hospitaladmittime")) FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '015-59552' | 0.189453 |
CREATE TABLE table_25085 ("Year" FLOAT, "Network" CLOB, "Race caller" CLOB, "s Host" CLOB, "s Analyst" CLOB, "Reporters" CLOB, "Trophy presentation" CLOB)
| Name the reporters for howard cosell | SELECT "Reporters" FROM table_25085 WHERE "s Analyst" = 'Howard Cosell' | SELECT "Reporters" FROM "table_25085" WHERE "s Analyst" = 'Howard Cosell' | 0.071289 |
CREATE TABLE table_name_42 (opponent VARCHAR2, date VARCHAR2)
| Which Opponent has a Date of march 16? | SELECT opponent FROM table_name_42 WHERE date = "march 16" | SELECT "opponent" FROM "table_name_42" WHERE "date" = "march 16" | 0.0625 |
CREATE TABLE table_2991 ("Edition" CLOB, "Round" CLOB, "Date" CLOB, "Against" CLOB, "Surface" CLOB, "Opponent" CLOB, "Win/Lose" CLOB, "Result" CLOB)
| In what edition is Ungur's opponent David Nalbandian? | SELECT "Edition" FROM table_2991 WHERE "Opponent" = 'David Nalbandian' | SELECT "Edition" FROM "table_2991" WHERE "Opponent" = 'David Nalbandian' | 0.070313 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what was the first height of patient 021-25705 in the last month. | SELECT patient.admissionheight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-25705') AND NOT patient.admissionheight IS NULL AND DATETIME(patient.unitadmittime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY patient.unitadmittime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-25705' GROUP BY "patienthealthsystemstayid") SELECT "patient"."admissionheight" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE DATETIME("patient"."unitadmittime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL AND NOT "patient"."admissionheight" IS NULL ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY | 0.515625 |
CREATE TABLE table_204_22 (id NUMBER, "date" CLOB, "opponent#" CLOB, "rank#" CLOB, "site" CLOB, "result" CLOB, "attendance" NUMBER, "record" CLOB)
| how many of the games were the illini ranked ? | SELECT COUNT(*) FROM table_204_22 WHERE NOT "rank#" IS NULL | SELECT COUNT(*) FROM "table_204_22" WHERE NOT "rank#" IS NULL | 0.05957 |
CREATE TABLE table_45463 ("Year" FLOAT, "Seed" FLOAT, "Round" CLOB, "Opponent" CLOB, "Result/Score" CLOB)
| What is the highest Year, when Opponent is #2 Syracuse? | SELECT MAX("Year") FROM table_45463 WHERE "Opponent" = '#2 syracuse' | SELECT MAX("Year") FROM "table_45463" WHERE "Opponent" = '#2 syracuse' | 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 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)
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)
| Count the number of patients less than 61 years categorized under a blood gas lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "61" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "61" > "demographic"."age" | 0.1875 |
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id 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 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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| Which course can I take to prepare myself for ENVIRON 310 ? | SELECT DISTINCT advisory_requirement FROM course WHERE department = 'ENVIRON' AND number = 310 | SELECT DISTINCT "advisory_requirement" FROM "course" WHERE "department" = 'ENVIRON' AND "number" = 310 | 0.099609 |
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 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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| provide the number of patients whose death status is 1 and days of hospital stay is greater than 1? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.days_stay > "1" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" < "demographic"."days_stay" AND "1" = "demographic"."expire_flag" | 0.140625 |
CREATE TABLE table_79847 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Name the total number of ranks when total is less than 1 | SELECT COUNT("Rank") FROM table_79847 WHERE "Total" < '1' | SELECT COUNT("Rank") FROM "table_79847" WHERE "Total" < '1' | 0.057617 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
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 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 jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the average of manager_id over the hire_date bin hire_date by weekday, and list from low to high by the mean manager id. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(MANAGER_ID) | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY AVG("MANAGER_ID") | 0.199219 |
CREATE TABLE table_name_34 (runs NUMBER, high_score VARCHAR2, innings VARCHAR2)
| How many runs were there when the high score was 55 and there were more than 12 innings? | SELECT SUM(runs) FROM table_name_34 WHERE high_score = 55 AND innings > 12 | SELECT SUM("runs") FROM "table_name_34" WHERE "high_score" = 55 AND "innings" > 12 | 0.080078 |
CREATE TABLE mill (architect_id NUMBER, id NUMBER, location CLOB, name CLOB, type CLOB, built_year NUMBER, notes CLOB)
CREATE TABLE architect (id CLOB, name CLOB, nationality CLOB, gender CLOB)
CREATE TABLE bridge (architect_id NUMBER, id NUMBER, name CLOB, location CLOB, length_meters FLOAT, length_feet FLOAT)
| Draw a bar chart for what are the ids and names of the architects who built at least 3 bridges ?, rank in desc by the x-axis. | SELECT T1.name, T1.id FROM architect AS T1 JOIN bridge AS T2 ON T1.id = T2.architect_id ORDER BY T1.name DESC | SELECT "T1"."name", "T1"."id" FROM "architect" "T1" JOIN "bridge" "T2" ON "T1"."id" = "T2"."architect_id" ORDER BY "T1"."name" DESC | 0.12793 |
CREATE TABLE table_291768_1 (commissioned VARCHAR2, launched VARCHAR2)
| what project was initially started before september 20, 1968 | SELECT commissioned FROM table_291768_1 WHERE launched = "September 20, 1968" | SELECT "commissioned" FROM "table_291768_1" WHERE "September 20, 1968" = "launched" | 0.081055 |
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
| what datasets are used in papers by oren etzioni | SELECT DISTINCT paperdataset.datasetid FROM author, paper, paperdataset, writes WHERE author.authorname = 'oren etzioni' AND paper.paperid = paperdataset.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "paperdataset"."datasetid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" JOIN "paperdataset" ON "paper"."paperid" = "paperdataset"."paperid" WHERE "author"."authorname" = 'oren etzioni' | 0.276367 |
CREATE TABLE table_name_6 (score VARCHAR2, home VARCHAR2, date VARCHAR2)
| What is the Score that has a Home of montreal canadiens on april 11? | SELECT score FROM table_name_6 WHERE home = "montreal canadiens" AND date = "april 11" | SELECT "score" FROM "table_name_6" WHERE "april 11" = "date" AND "home" = "montreal canadiens" | 0.091797 |
CREATE TABLE table_name_75 (nationality VARCHAR2, event VARCHAR2)
| What was the nationality of the athlete that ran the 10000 m event? | SELECT nationality FROM table_name_75 WHERE event = "10000 m" | SELECT "nationality" FROM "table_name_75" WHERE "10000 m" = "event" | 0.06543 |
CREATE TABLE table_name_73 (distance VARCHAR2, stage VARCHAR2)
| What's the distance of the course of stage 4? | SELECT distance FROM table_name_73 WHERE stage = "4" | SELECT "distance" FROM "table_name_73" WHERE "4" = "stage" | 0.056641 |
CREATE TABLE table_48185 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What is Opponent, when Year is greater than 2009, and when Score is 7 5, 6 7 (6 8) , 6 1? | SELECT "Opponent" FROM table_48185 WHERE "Year" > '2009' AND "Score" = '7–5, 6–7 (6–8) , 6–1' | SELECT "Opponent" FROM "table_48185" WHERE "Score" = '7–5, 6–7 (6–8) , 6–1' AND "Year" > '2009' | 0.092773 |
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