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CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
| what 's the cheapest flight from DENVER to PITTSBURGH | 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, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'DENVER' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'PITTSBURGH' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'DENVER' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'PITTSBURGH' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.47168 |
CREATE TABLE table_27700530_9 (team VARCHAR, game VARCHAR)
| How many games were numbered 13? | SELECT COUNT(team) FROM table_27700530_9 WHERE game = 13 | SELECT COUNT("team") FROM "table_27700530_9" WHERE "game" = 13 | 0.060547 |
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Participates_in (stuid INT, actid INT)
CREATE TABLE Faculty_Participates_in (FacID INT, actid INT)
CREATE TABLE Faculty (FacID INT, Lname VARCHAR, Fname VARCHAR, Rank VARCHAR, Sex VARCHAR, Phone INT, Room VARCHAR, Building VARCHAR)
CREATE TABLE Activity (actid INT, activity_name VARCHAR)
| How many faculty members does each building have? List the result with the name of the building Visualize by bar chart, order total number from low to high order. | SELECT Building, COUNT(*) FROM Faculty GROUP BY Building ORDER BY COUNT(*) | SELECT "Building", COUNT(*) FROM "Faculty" GROUP BY "Building" ORDER BY COUNT(*) NULLS FIRST | 0.089844 |
CREATE TABLE table_65791 ("Rank" FLOAT, "Summit" TEXT, "Country" TEXT, "Island" TEXT, "Col ( m ) " FLOAT)
| What's the rank when the col (m) is less than 33 and has a summit of Haleakal ? | SELECT SUM("Rank") FROM table_65791 WHERE "Col (m)" < '33' AND "Summit" = 'haleakalā' | SELECT SUM("Rank") FROM "table_65791" WHERE "Col (m)" < '33' AND "Summit" = 'haleakalā' | 0.084961 |
CREATE TABLE table_name_85 (rank INT, country VARCHAR)
| Which highest rank belongs to the palestinian territories? | SELECT MAX(rank) FROM table_name_85 WHERE country = "palestinian territories" | SELECT MAX("rank") FROM "table_name_85" WHERE "country" = "palestinian territories" | 0.081055 |
CREATE TABLE table_name_11 (competition VARCHAR, date VARCHAR)
| What competition took place on 28/04/1906? | SELECT competition FROM table_name_11 WHERE date = "28/04/1906" | SELECT "competition" FROM "table_name_11" WHERE "28/04/1906" = "date" | 0.067383 |
CREATE TABLE table_204_887 (id DECIMAL, "district" DECIMAL, "representative" TEXT, "party" TEXT, "residence" TEXT, "counties represented" TEXT)
| what is the number of democratic representatives ? | SELECT COUNT("representative") FROM table_204_887 WHERE "party" = 'democratic' | SELECT COUNT("representative") FROM "table_204_887" WHERE "party" = 'democratic' | 0.078125 |
CREATE TABLE table_7564 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" TEXT, "To par" TEXT)
| Which player had a total of 152? | SELECT "Player" FROM table_7564 WHERE "Total" = '152' | SELECT "Player" FROM "table_7564" WHERE "Total" = '152' | 0.053711 |
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
| i need a flight on AA from MIAMI to CHICAGO that arrives around 5pm | 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 (((flight.arrival_time <= 1730 AND flight.arrival_time >= 1630) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CHICAGO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'MIAMI' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'AA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'MIAMI' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'AA' AND "flight"."arrival_time" <= 1730 AND "flight"."arrival_time" >= 1630 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'CHICAGO' | 0.59668 |
CREATE TABLE customers (customer_id DECIMAL, customer_address_id DECIMAL, customer_status_code TEXT, date_became_customer TIME, date_of_birth TIME, first_name TEXT, last_name TEXT, amount_outstanding DECIMAL, email_address TEXT, phone_number TEXT, cell_mobile_phone_number TEXT)
CREATE TABLE staff (staff_id DECIMAL, staff_address_id DECIMAL, nickname TEXT, first_name TEXT, middle_name TEXT, last_name TEXT, date_of_birth TIME, date_joined_staff TIME, date_left_staff TIME)
CREATE TABLE customer_payments (customer_id DECIMAL, datetime_payment TIME, payment_method_code TEXT, amount_payment DECIMAL)
CREATE TABLE addresses (address_id DECIMAL, line_1_number_building TEXT, city TEXT, zip_postcode TEXT, state_province_county TEXT, country TEXT)
CREATE TABLE vehicles (vehicle_id DECIMAL, vehicle_details TEXT)
CREATE TABLE lessons (lesson_id DECIMAL, customer_id DECIMAL, lesson_status_code TEXT, staff_id DECIMAL, vehicle_id DECIMAL, lesson_date TIME, lesson_time TEXT, price DECIMAL)
| What is the country in which the customer Carole Bernhard lived? | SELECT T2.country FROM customers AS T1 JOIN addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T1.first_name = "Carole" AND T1.last_name = "Bernhard" | SELECT "T2"."country" FROM "customers" AS "T1" JOIN "addresses" AS "T2" ON "T1"."customer_address_id" = "T2"."address_id" WHERE "Bernhard" = "T1"."last_name" AND "Carole" = "T1"."first_name" | 0.185547 |
CREATE TABLE table_36673 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Rank has a Bronze larger than 1, and a Silver larger than 0, and a Nation of norway (host nation), and a Total larger than 16? | SELECT COUNT("Rank") FROM table_36673 WHERE "Bronze" > '1' AND "Silver" > '0' AND "Nation" = 'norway (host nation)' AND "Total" > '16' | SELECT COUNT("Rank") FROM "table_36673" WHERE "Bronze" > '1' AND "Nation" = 'norway (host nation)' AND "Silver" > '0' AND "Total" > '16' | 0.132813 |
CREATE TABLE table_name_75 (time_retired VARCHAR, qual VARCHAR)
| Which time/retired has a qual of 144.02? | SELECT time_retired FROM table_name_75 WHERE qual = 144.02 | SELECT "time_retired" FROM "table_name_75" WHERE "qual" = 144.02 | 0.0625 |
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
| list all of the DAILY flights arriving in DENVER between 2000 and 2100 | SELECT DISTINCT flight_id FROM flight WHERE (((arrival_time <= 2100 AND arrival_time >= 2000) AND to_airport IN (SELECT AIRPORT_SERVICEalias0.airport_code FROM airport_service AS AIRPORT_SERVICEalias0 WHERE AIRPORT_SERVICEalias0.city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'DENVER'))) AND flight_days = 'DAILY') | WITH "_u_0" AS (SELECT "CITYalias0"."city_code" FROM "city" AS "CITYalias0" WHERE "CITYalias0"."city_name" = 'DENVER' GROUP BY "city_code"), "_u_1" AS (SELECT "AIRPORT_SERVICEalias0"."airport_code" FROM "airport_service" AS "AIRPORT_SERVICEalias0" LEFT JOIN "_u_0" AS "_u_0" ON "AIRPORT_SERVICEalias0"."city_code" = "_u_0"."" WHERE NOT "_u_0"."" IS NULL GROUP BY "airport_code") SELECT DISTINCT "flight_id" FROM "flight" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "to_airport" WHERE "arrival_time" <= 2100 AND "arrival_time" >= 2000 AND "flight_days" = 'DAILY' AND NOT "_u_1"."" IS NULL | 0.571289 |
CREATE TABLE table_31744 ("Nomination" TEXT, "Actor's Name" TEXT, "Film Name" TEXT, "Director" TEXT, "Country" TEXT)
| Tell me the actor from russia for anastasiya slutskaya | SELECT "Actor's Name" FROM table_31744 WHERE "Film Name" = 'anastasiya slutskaya' AND "Country" = 'russia' | SELECT "Actor's Name" FROM "table_31744" WHERE "Country" = 'russia' AND "Film Name" = 'anastasiya slutskaya' | 0.105469 |
CREATE TABLE table_name_98 (loss VARCHAR, date VARCHAR)
| Who recorded the loss on august 7? | SELECT loss FROM table_name_98 WHERE date = "august 7" | SELECT "loss" FROM "table_name_98" WHERE "august 7" = "date" | 0.058594 |
CREATE TABLE temperature (city_id VARCHAR, Mar INT, Jul VARCHAR)
CREATE TABLE city (city VARCHAR, city_id VARCHAR)
CREATE TABLE hosting_city (host_city VARCHAR)
| Give me a list of cities whose temperature in Mar is lower than that in July and which have also served as host cities? | SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul INTERSECT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city | SELECT "T1"."city" FROM "city" AS "T1" JOIN "temperature" AS "T2" ON "T1"."city_id" = "T2"."city_id" AND "T2"."Jul" > "T2"."Mar" INTERSECT SELECT "T3"."city" FROM "city" AS "T3" JOIN "hosting_city" AS "T4" ON "T3"."city_id" = "T4"."host_city" | 0.236328 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
| what is the intake method of the nifedipine cr? | SELECT DISTINCT prescriptions.route FROM prescriptions WHERE prescriptions.drug = 'nifedipine cr' | SELECT DISTINCT "prescriptions"."route" FROM "prescriptions" WHERE "prescriptions"."drug" = 'nifedipine cr' | 0.104492 |
CREATE TABLE club (clubid DECIMAL, clubname TEXT, clubdesc TEXT, clublocation TEXT)
CREATE TABLE member_of_club (stuid DECIMAL, clubid DECIMAL, position TEXT)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
| Find the location of the club 'Pen and Paper Gaming'. | SELECT clublocation FROM club WHERE clubname = "Pen and Paper Gaming" | SELECT "clublocation" FROM "club" WHERE "Pen and Paper Gaming" = "clubname" | 0.073242 |
CREATE TABLE table_23713 ("Year" FLOAT, "District" FLOAT, "Blocks" FLOAT, "Panchayat" FLOAT, "Village" FLOAT, "Human ( in Lakh ) " TEXT, "Animal ( in Lakh ) " TEXT, "Total Area ( in Lakh ha ) " TEXT, "Cropped area ( in Lakh ha ) " TEXT, "Crop Damaged ( in Lakh INR ) " TEXT, "House Affected" FLOAT, "Public Property Damaged ( in Lakh INR ) " TEXT)
| What is the largest village that had 103279 houses affected? | SELECT MAX("Village") FROM table_23713 WHERE "House Affected" = '103279' | SELECT MAX("Village") FROM "table_23713" WHERE "House Affected" = '103279' | 0.072266 |
CREATE TABLE table_2932 ("Player" TEXT, "Position" TEXT, "NASL years" TEXT, "NASL club ( s ) " TEXT, "Accolades ( Pre-NASL ) " TEXT)
| What nasl club won several titles with leeds united? | SELECT "NASL club(s)" FROM table_2932 WHERE "Accolades (Pre-NASL)" = 'Won several titles with Leeds United' | SELECT "NASL club(s)" FROM "table_2932" WHERE "Accolades (Pre-NASL)" = 'Won several titles with Leeds United' | 0.106445 |
CREATE TABLE table_name_26 (school VARCHAR, signed VARCHAR, round VARCHAR)
| what is the school when signed is no and round is 50? | SELECT school FROM table_name_26 WHERE signed = "no" AND round = 50 | SELECT "school" FROM "table_name_26" WHERE "no" = "signed" AND "round" = 50 | 0.073242 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what are the methods of consumption of hydrocortisone study drug (*ind*)? | SELECT DISTINCT prescriptions.route FROM prescriptions WHERE prescriptions.drug = 'hydrocortisone study drug (*ind*)' | SELECT DISTINCT "prescriptions"."route" FROM "prescriptions" WHERE "prescriptions"."drug" = 'hydrocortisone study drug (*ind*)' | 0.124023 |
CREATE TABLE table_19479 ("Date Released" TEXT, "Polling institute" TEXT, "Socialist" TEXT, "Social Democratic" TEXT, "Peoples Party" TEXT, "Green-Communist" TEXT, "Left Bloc" TEXT, "Lead" TEXT)
| How many percentages of Left Bloc correspond to a 32.1% Social Democratic? | SELECT COUNT("Left Bloc") FROM table_19479 WHERE "Social Democratic" = '32.1%' | SELECT COUNT("Left Bloc") FROM "table_19479" WHERE "Social Democratic" = '32.1%' | 0.078125 |
CREATE TABLE table_52084 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Where was the game played when the home team score was 11.9 (75)? | SELECT "Venue" FROM table_52084 WHERE "Home team score" = '11.9 (75)' | SELECT "Venue" FROM "table_52084" WHERE "Home team score" = '11.9 (75)' | 0.069336 |
CREATE TABLE table_65269 ("Township" TEXT, "County" TEXT, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " FLOAT, "Water ( sqmi ) " FLOAT, "Latitude" FLOAT, "Longitude" FLOAT, "GEO ID" FLOAT, "ANSI code" FLOAT)
| What is the lowest land in sq mi with a longitude of -99.172785 and less than 0.973 sq mi of water? | SELECT MIN("Land ( sqmi )") FROM table_65269 WHERE "Longitude" = '-99.172785' AND "Water (sqmi)" < '0.973' | SELECT MIN("Land ( sqmi )") FROM "table_65269" WHERE "Longitude" = '-99.172785' AND "Water (sqmi)" < '0.973' | 0.105469 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| when did patient 005-87465 first had the minimum value of potassium in 12/this year? | SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465')) AND lab.labname = 'potassium' AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', lab.labresulttime) = '12' ORDER BY lab.labresult, lab.labresulttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-87465' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "lab"."labresulttime" FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'potassium' AND DATETIME("lab"."labresulttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "lab"."labresulttime") = '12' ORDER BY "lab"."labresult" NULLS FIRST, "lab"."labresulttime" NULLS FIRST LIMIT 1 | 0.748047 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| count the number of emergency hospital admission patients who are taking main drug type prescription. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.230469 |
CREATE TABLE table_15511178_3 (winning_driver VARCHAR, rd VARCHAR)
| how many winners were in round 8 | SELECT COUNT(winning_driver) FROM table_15511178_3 WHERE rd = 8 | SELECT COUNT("winning_driver") FROM "table_15511178_3" WHERE "rd" = 8 | 0.067383 |
CREATE TABLE table_46078 ("Name" TEXT, "Born-Died" TEXT, "Term start" TEXT, "Term end" TEXT, "Political Party" TEXT)
| What is Term Start, when Name is Prime Ministers 1939 - 1943? | SELECT "Term start" FROM table_46078 WHERE "Name" = 'prime ministers 1939 - 1943' | SELECT "Term start" FROM "table_46078" WHERE "Name" = 'prime ministers 1939 - 1943' | 0.081055 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| give me the number of patients whose ethnicity is black/cape verdean and age is less than 24? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.age < "24" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "24" > "demographic"."age" AND "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" | 0.150391 |
CREATE TABLE table_40659 ("Match" FLOAT, "Date" TEXT, "Tournament" TEXT, "Location" TEXT, "Opponent team" TEXT, "Score" TEXT)
| Who was the opponent at Pasir Gudang, Malaysia with a match larger than 2? | SELECT "Opponent team" FROM table_40659 WHERE "Match" > '2' AND "Location" = 'pasir gudang, malaysia' | SELECT "Opponent team" FROM "table_40659" WHERE "Location" = 'pasir gudang, malaysia' AND "Match" > '2' | 0.100586 |
CREATE TABLE table_33570 ("Type" TEXT, "Suffix" TEXT, "Valency change" TEXT, "Example" TEXT, "Meaning" TEXT)
| What is the example with the associative type? | SELECT "Example" FROM table_33570 WHERE "Type" = 'associative' | SELECT "Example" FROM "table_33570" WHERE "Type" = 'associative' | 0.0625 |
CREATE TABLE table_204_338 (id DECIMAL, "location" TEXT, "coordinates" TEXT, "type" TEXT, "built" TEXT, "details" TEXT)
| what is the total number of locations ? | SELECT COUNT("location") FROM table_204_338 | SELECT COUNT("location") FROM "table_204_338" | 0.043945 |
CREATE TABLE table_name_78 (rank INT, grid VARCHAR, time_retired VARCHAR, laps VARCHAR, qual VARCHAR)
| What was the rank of the car who had more than 182 laps, gris less than 3, with a qual time of more than 134.14 and a time/retired of +14:21.72? | SELECT MIN(rank) FROM table_name_78 WHERE laps > 182 AND qual > 134.14 AND time_retired = "+14:21.72" AND grid < 3 | SELECT MIN("rank") FROM "table_name_78" WHERE "+14:21.72" = "time_retired" AND "grid" < 3 AND "laps" > 182 AND "qual" > 134.14 | 0.123047 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| in 2105 how many patients with s/p surgery for cancer - rectal were diagnosed within the same hospital visit after previously being diagnosed with myocardial infarction ruled out? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 's/p surgery for cancer - rectal' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'myocardial infarction ruled out' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105') AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid | WITH "t2" AS (SELECT "diagnosis"."diagnosistime", "patient"."patienthealthsystemstayid" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'myocardial infarction ruled out' AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2105') SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."diagnosistime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" WHERE "diagnosis"."diagnosisname" = 's/p surgery for cancer - rectal' AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2105' | 0.716797 |
CREATE TABLE table_58456 ("Driver" TEXT, "Constructor" TEXT, "Laps" TEXT, "Time/Retired" TEXT, "Grid" TEXT)
| Who is the driver when the grid is 18? | SELECT "Driver" FROM table_58456 WHERE "Grid" = '18' | SELECT "Driver" FROM "table_58456" WHERE "Grid" = '18' | 0.052734 |
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
| How many did each user asked questions and gave answers. | WITH UsersSample AS (SELECT u.Id FROM Users AS u) SELECT p.PostTypeId, p.OwnerUserId, p.OwnerUserId AS "user_link", COUNT(*) AS n FROM Posts AS p RIGHT OUTER JOIN UsersSample AS u ON u.Id = p.OwnerUserId WHERE p.OwnerUserId > 0 GROUP BY p.OwnerUserId, p.PostTypeId ORDER BY p.OwnerUserId, p.PostTypeId | SELECT "p"."PostTypeId", "p"."OwnerUserId", "p"."OwnerUserId" AS "user_link", COUNT(*) AS "n" FROM "Posts" AS "p" RIGHT JOIN "Users" AS "u" ON "p"."OwnerUserId" = "u"."Id" WHERE "p"."OwnerUserId" > 0 GROUP BY "p"."OwnerUserId", "p"."PostTypeId" ORDER BY "p"."OwnerUserId" NULLS FIRST, "p"."PostTypeId" NULLS FIRST | 0.305664 |
CREATE TABLE table_name_37 (total INT, bask VARCHAR, base VARCHAR)
| What is the highest total value when bask and base are each 3? | SELECT MAX(total) FROM table_name_37 WHERE bask = "3" AND base = "3" | SELECT MAX("total") FROM "table_name_37" WHERE "3" = "base" AND "3" = "bask" | 0.074219 |
CREATE TABLE web_client_accelerator (id DECIMAL, name TEXT, operating_system TEXT, client TEXT, connection TEXT)
CREATE TABLE browser (id DECIMAL, name TEXT, market_share DECIMAL)
CREATE TABLE accelerator_compatible_browser (accelerator_id DECIMAL, browser_id DECIMAL, compatible_since_year DECIMAL)
| How many main stream browsers whose market share is at least 5 exist? | SELECT COUNT(*) FROM browser WHERE market_share >= 5 | SELECT COUNT(*) FROM "browser" WHERE "market_share" >= 5 | 0.054688 |
CREATE TABLE table_55173 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| What is the lowest grid value with fewer than 17 laps and constructor Sauber - Petronas? | SELECT MIN("Grid") FROM table_55173 WHERE "Laps" < '17' AND "Constructor" = 'sauber - petronas' | SELECT MIN("Grid") FROM "table_55173" WHERE "Constructor" = 'sauber - petronas' AND "Laps" < '17' | 0.094727 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| count the number of patients whose age is less than 74 and procedure short title is bone marrow biopsy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "74" AND procedures.short_title = "Bone marrow biopsy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Bone marrow biopsy" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "74" > "demographic"."age" | 0.219727 |
CREATE TABLE table_56134 ("Nation" TEXT, "Gold" TEXT, "Silver" TEXT, "Bronze" TEXT, "Total" FLOAT)
| What is the bronze when silver is 4 and gold is 1 and the total is more than 2 | SELECT "Bronze" FROM table_56134 WHERE "Total" > '2' AND "Gold" = '1' AND "Silver" = '4' | SELECT "Bronze" FROM "table_56134" WHERE "Gold" = '1' AND "Silver" = '4' AND "Total" > '2' | 0.087891 |
CREATE TABLE table_204_689 (id DECIMAL, "year" DECIMAL, "title" TEXT, "album" TEXT, "uk" DECIMAL, "b-sides" TEXT)
| what is the b side on the only non album single ? | SELECT "b-sides" FROM table_204_689 WHERE "album" = 'non-album single' | SELECT "b-sides" FROM "table_204_689" WHERE "album" = 'non-album single' | 0.070313 |
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
| How big is 482 ? | SELECT DISTINCT num_enrolled FROM course WHERE department = 'EECS' AND number = 482 | SELECT DISTINCT "num_enrolled" FROM "course" WHERE "department" = 'EECS' AND "number" = 482 | 0.088867 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many patients are diagnosed with pure glyceridemia and suggested for replace drug route? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Pure hyperglyceridemia" AND prescriptions.route = "REPLACE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Pure hyperglyceridemia" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "REPLACE" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.301758 |
CREATE TABLE table_74156 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What is the score for the game with the record of 3 12? | SELECT "Score" FROM table_74156 WHERE "Record" = '3–12' | SELECT "Score" FROM "table_74156" WHERE "Record" = '3–12' | 0.055664 |
CREATE TABLE table_name_2 (musical_guest__song_performed_ VARCHAR, air_date VARCHAR)
| What is the Musical Guest (Song performed) for the episode aired on 13 july 2008? | SELECT musical_guest__song_performed_ FROM table_name_2 WHERE air_date = "13 july 2008" | SELECT "musical_guest__song_performed_" FROM "table_name_2" WHERE "13 july 2008" = "air_date" | 0.09082 |
CREATE TABLE table_53388 ("NGC number" FLOAT, "Object type" TEXT, "Constellation" TEXT, "Right ascension ( J2000 ) " TEXT, "Declination ( J2000 ) " TEXT)
| what is the right ascension (j2000) when the constellation is sextans and the declination (j2000) is 28 01 ? | SELECT "Right ascension ( J2000 )" FROM table_53388 WHERE "Constellation" = 'sextans' AND "Declination ( J2000 )" = '°28′01″' | SELECT "Right ascension ( J2000 )" FROM "table_53388" WHERE "Constellation" = 'sextans' AND "Declination ( J2000 )" = '°28′01″' | 0.124023 |
CREATE TABLE table_12231 ("Version" TEXT, "KINKA Developer" TEXT, "KINKA Pre-release" TEXT, "KINKA 1.0" TEXT, "KINKA 1.2" TEXT, "KINKA 1.3" TEXT)
| Who is the developer when the pre-release is no*? | SELECT "KINKA Developer" FROM table_12231 WHERE "KINKA Pre-release" = 'no*' | SELECT "KINKA Developer" FROM "table_12231" WHERE "KINKA Pre-release" = 'no*' | 0.075195 |
CREATE TABLE table_26757_4 (macedonian VARCHAR, serbo_croatian VARCHAR)
| When / ruka is the serbo-croatian what is the macedonian? | SELECT macedonian FROM table_26757_4 WHERE serbo_croatian = "рука / ruka" | SELECT "macedonian" FROM "table_26757_4" WHERE "serbo_croatian" = "рука / ruka" | 0.077148 |
CREATE TABLE table_21313327_1 (no_in_series INT, written_by VARCHAR)
| what is the No in series when Rob wright & Debra j. Fisher & Erica Messer were the writers? | SELECT MIN(no_in_series) FROM table_21313327_1 WHERE written_by = "Rob Wright & Debra J. Fisher & Erica Messer" | SELECT MIN("no_in_series") FROM "table_21313327_1" WHERE "Rob Wright & Debra J. Fisher & Erica Messer" = "written_by" | 0.114258 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what was the number of patients that were tested in 2102 for catheter tip-iv microbiology? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT microbiologyevents.hadm_id FROM microbiologyevents WHERE microbiologyevents.spec_type_desc = 'catheter tip-iv' AND STRFTIME('%y', microbiologyevents.charttime) = '2102') | WITH "_u_0" AS (SELECT "microbiologyevents"."hadm_id" FROM "microbiologyevents" WHERE "microbiologyevents"."spec_type_desc" = 'catheter tip-iv' AND STRFTIME('%y', "microbiologyevents"."charttime") = '2102' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.375977 |
CREATE TABLE table_45872 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Location" TEXT)
| What is the sum of Round, when Record is '19-25-5'? | SELECT SUM("Round") FROM table_45872 WHERE "Record" = '19-25-5' | SELECT SUM("Round") FROM "table_45872" WHERE "Record" = '19-25-5' | 0.063477 |
CREATE TABLE table_name_68 (lfn_support VARCHAR, name VARCHAR)
| What is the LFN support on Windows NT 3.1? | SELECT lfn_support FROM table_name_68 WHERE name = "windows nt 3.1" | SELECT "lfn_support" FROM "table_name_68" WHERE "name" = "windows nt 3.1" | 0.071289 |
CREATE TABLE table_21441 ("1st throw" FLOAT, "2nd throw" FLOAT, "3rd throw" FLOAT, "Equation" TEXT, "Result" FLOAT)
| If the equation is 8 9 + 8 9 + 8, what is the 2nd throw? | SELECT MIN("2nd throw") FROM table_21441 WHERE "Equation" = '8 × 9² + 8 × 9 + 8' | SELECT MIN("2nd throw") FROM "table_21441" WHERE "Equation" = '8 × 9² + 8 × 9 + 8' | 0.080078 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients whose language is ptun? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PTUN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "PTUN" = "demographic"."language" | 0.105469 |
CREATE TABLE table_73909 ("Institution" TEXT, "Location ( all in Ohio ) " TEXT, "Nickname" TEXT, "Founded" FLOAT, "Type" TEXT, "Enrollment" TEXT, "Joined" FLOAT, "Left" FLOAT, "Current Conference" TEXT)
| Which founding year corresponds with the highest enrollment? | SELECT MAX("Founded") FROM table_73909 | SELECT MAX("Founded") FROM "table_73909" | 0.039063 |
CREATE TABLE table_name_88 (density INT, province VARCHAR, area VARCHAR)
| What is the highest Density for the independencia province, with an area smaller than 2,007.4? | SELECT MAX(density) FROM table_name_88 WHERE province = "independencia" AND area < 2 OFFSET 007.4 | SELECT MAX("density") FROM "table_name_88" WHERE "area" < 2 AND "independencia" = "province" OFFSET 007.4 | 0.102539 |
CREATE TABLE table_8475 ("Election" FLOAT, "Candidate" TEXT, "Number of votes" TEXT, "Share of votes" TEXT, "Outcome of election" TEXT)
| What is the number of the votes of the election before 2004 with edward mahama as the candidate with 3.0% share of votes? | SELECT "Number of votes" FROM table_8475 WHERE "Candidate" = 'edward mahama' AND "Election" < '2004' AND "Share of votes" = '3.0%' | SELECT "Number of votes" FROM "table_8475" WHERE "Candidate" = 'edward mahama' AND "Election" < '2004' AND "Share of votes" = '3.0%' | 0.128906 |
CREATE TABLE table_45773 ("Rank" TEXT, "Figures" TEXT, "Player" TEXT, "Opponent" TEXT, "Venue" TEXT, "Season" TEXT)
| What is Venue, when Figures is 5/29? | SELECT "Venue" FROM table_45773 WHERE "Figures" = '5/29' | SELECT "Venue" FROM "table_45773" WHERE "Figures" = '5/29' | 0.056641 |
CREATE TABLE table_29636 ("Season" TEXT, "Episodes" FLOAT, "Timeslot ( EST ) " TEXT, "Season premiere" TEXT, "Season finale" TEXT, "TV season" TEXT, "Rank" TEXT, "Viewers ( in millions ) " TEXT)
| How many season premieres had 15.27 million viewers? | SELECT COUNT("Season premiere") FROM table_29636 WHERE "Viewers (in millions)" = '15.27' | SELECT COUNT("Season premiere") FROM "table_29636" WHERE "Viewers (in millions)" = '15.27' | 0.087891 |
CREATE TABLE table_64825 ("Release" TEXT, "Track" TEXT, "Format" TEXT, "Label" TEXT, "Year" FLOAT)
| Which Label has a Release of liebesgr sse aus ost-berlin? | SELECT "Label" FROM table_64825 WHERE "Release" = 'liebesgrüsse aus ost-berlin' | SELECT "Label" FROM "table_64825" WHERE "Release" = 'liebesgrüsse aus ost-berlin' | 0.079102 |
CREATE TABLE table_27965 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Director" TEXT, "Writer ( s ) " TEXT, "Original air date" TEXT)
| When 'pants on fire' is the title what is the air date? | SELECT "Original air date" FROM table_27965 WHERE "Title" = 'Pants on Fire' | SELECT "Original air date" FROM "table_27965" WHERE "Title" = 'Pants on Fire' | 0.075195 |
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
| What is the number of EDUC 649 sections that are after 10 A.M. ? | SELECT COUNT(*) FROM course, course_offering, semester WHERE course_offering.start_time > '10:00:00' AND course.course_id = course_offering.course_id AND course.department = 'EDUC' AND course.number = 649 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."start_time" > '10:00:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'EDUC' AND "course"."number" = 649 | 0.349609 |
CREATE TABLE table_name_31 (actor VARCHAR, soap_opera VARCHAR, years VARCHAR)
| who is the actor for shortland street for the years 1993 1999, 2001 2003, 2007, 2009 ? | SELECT actor FROM table_name_31 WHERE soap_opera = "shortland street" AND years = "1993–1999, 2001–2003, 2007, 2009—" | SELECT "actor" FROM "table_name_31" WHERE "1993–1999, 2001–2003, 2007, 2009—" = "years" AND "shortland street" = "soap_opera" | 0.12207 |
CREATE TABLE table_28908 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| Name the number of candidates for samuel d. ingham | SELECT COUNT("Candidates") FROM table_28908 WHERE "Incumbent" = 'Samuel D. Ingham' | SELECT COUNT("Candidates") FROM "table_28908" WHERE "Incumbent" = 'Samuel D. Ingham' | 0.082031 |
CREATE TABLE table_name_90 (run_2 INT, run_1 VARCHAR, run_3 VARCHAR)
| What is the lowest run 2 of the athlete with a run 1 of 52.44 and a run 3 less than 52.35? | SELECT MIN(run_2) FROM table_name_90 WHERE run_1 = 52.44 AND run_3 < 52.35 | SELECT MIN("run_2") FROM "table_name_90" WHERE "run_1" = 52.44 AND "run_3" < 52.35 | 0.080078 |
CREATE TABLE table_26262 ("Party" TEXT, "Week 32" TEXT, "Week 33" TEXT, "Week 34" TEXT, "Week 35" TEXT, "Week 36" TEXT, "Week 37" TEXT)
| What is the week 32 result when week 33 is 31.9%? | SELECT "Week 32" FROM table_26262 WHERE "Week 33" = '31.9%' | SELECT "Week 32" FROM "table_26262" WHERE "Week 33" = '31.9%' | 0.05957 |
CREATE TABLE table_22252 ("Canton" TEXT, "Years of Kindergarten" FLOAT, "Years of Kindergarten provided" TEXT, "Years of Kindergarten legally required" TEXT, "Length of Primary School" FLOAT, "Length of mandatory Secondary School" FLOAT, "Separate Secondary Schools?" TEXT, "Cooperative Secondary Schools?" TEXT, "Integrated Secondary Schools?" TEXT)
| How many years is kindergarten legally requited in Zug? | SELECT "Years of Kindergarten legally required" FROM table_22252 WHERE "Canton" = 'Zug' | SELECT "Years of Kindergarten legally required" FROM "table_22252" WHERE "Canton" = 'Zug' | 0.086914 |
CREATE TABLE table_203_267 (id DECIMAL, "no." DECIMAL, "song" TEXT, "singers" TEXT, "length ( m:ss ) " TEXT)
| what is the number of songs sung by two singers ? | SELECT COUNT("song") FROM table_203_267 WHERE "singers" >= 2 | SELECT COUNT("song") FROM "table_203_267" WHERE "singers" >= 2 | 0.060547 |
CREATE TABLE table_57766 ("Heat." FLOAT, "Race Title" TEXT, "Circuit" TEXT, "Location / State" TEXT, "Date" TEXT, "Winner" TEXT, "Team" TEXT)
| What is the lowest heat of the Lakeside race? | SELECT MIN("Heat.") FROM table_57766 WHERE "Race Title" = 'lakeside' | SELECT MIN("Heat.") FROM "table_57766" WHERE "Race Title" = 'lakeside' | 0.068359 |
CREATE TABLE table_204_358 (id DECIMAL, "species" TEXT, "common name" TEXT, "ncbi accession #" TEXT, "ncbi name" TEXT, "length" TEXT, "sequence identity" TEXT, "sequence similarity" TEXT, "years since divergence from human ( mya ) " DECIMAL)
| name the species that has the longest years since divergence from human . | SELECT "species" FROM table_204_358 ORDER BY "years since divergence from human (mya)" DESC LIMIT 1 | SELECT "species" FROM "table_204_358" ORDER BY "years since divergence from human (mya)" DESC NULLS LAST LIMIT 1 | 0.109375 |
CREATE TABLE table_name_14 (points VARCHAR, entrant VARCHAR, chassis VARCHAR)
| How many points did the ATS Wheels entrant with an ATS D2 chassis have? | SELECT points FROM table_name_14 WHERE entrant = "ats wheels" AND chassis = "ats d2" | SELECT "points" FROM "table_name_14" WHERE "ats d2" = "chassis" AND "ats wheels" = "entrant" | 0.089844 |
CREATE TABLE table_13851 ("Elector" TEXT, "Place of birth" TEXT, "Cardinalatial title" TEXT, "Elevated" TEXT, "Elevator" TEXT)
| What is the elevator when elevated is May 16, 1288, and cardinalatial title shows Deacon of S. Adriano? | SELECT "Elevator" FROM table_13851 WHERE "Elevated" = 'may 16, 1288' AND "Cardinalatial title" = 'deacon of s. adriano' | SELECT "Elevator" FROM "table_13851" WHERE "Cardinalatial title" = 'deacon of s. adriano' AND "Elevated" = 'may 16, 1288' | 0.118164 |
CREATE TABLE table_171361_1 (area_km_2 VARCHAR, population VARCHAR)
| What is the area of the community with a population of 1209? | SELECT area_km_2 FROM table_171361_1 WHERE population = 1209 | SELECT "area_km_2" FROM "table_171361_1" WHERE "population" = 1209 | 0.064453 |
CREATE TABLE player (Player_ID INT, Player TEXT, Years_Played TEXT, Total_WL TEXT, Singles_WL TEXT, Doubles_WL TEXT, Team INT)
CREATE TABLE country (Country_id INT, Country_name TEXT, Capital TEXT, Official_native_language TEXT)
CREATE TABLE match_season (Season FLOAT, Player TEXT, Position TEXT, Country INT, Team INT, Draft_Pick_Number INT, Draft_Class TEXT, College TEXT)
CREATE TABLE team (Team_id INT, Name TEXT)
| Show the country names and the corresponding number of players in a bar chart. | SELECT Country_name, COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name | SELECT "Country_name", COUNT(*) FROM "country" AS "T1" JOIN "match_season" AS "T2" ON "T1"."Country_id" = "T2"."Country" GROUP BY "T1"."Country_name" | 0.145508 |
CREATE TABLE table_2562113_1 (location VARCHAR, nickname VARCHAR)
| What is the location of the institution nicknamed Lions? | SELECT location FROM table_2562113_1 WHERE nickname = "Lions" | SELECT "location" FROM "table_2562113_1" WHERE "Lions" = "nickname" | 0.06543 |
CREATE TABLE table_22669816_1 (length VARCHAR, winning_driver VARCHAR)
| What length was won by Roger McCluskey? | SELECT length FROM table_22669816_1 WHERE winning_driver = "Roger McCluskey" | SELECT "length" FROM "table_22669816_1" WHERE "Roger McCluskey" = "winning_driver" | 0.080078 |
CREATE TABLE Addresses (address_id INT, address_details VARCHAR)
CREATE TABLE Suppliers (supplier_id INT, supplier_name VARCHAR, supplier_phone VARCHAR)
CREATE TABLE Department_Store_Chain (dept_store_chain_id INT, dept_store_chain_name VARCHAR)
CREATE TABLE Department_Stores (dept_store_id INT, dept_store_chain_id INT, store_name VARCHAR, store_address VARCHAR, store_phone VARCHAR, store_email VARCHAR)
CREATE TABLE Product_Suppliers (product_id INT, supplier_id INT, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR, total_value_purchased DECIMAL)
CREATE TABLE Supplier_Addresses (supplier_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Customers (customer_id INT, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR)
CREATE TABLE Departments (department_id INT, dept_store_id INT, department_name VARCHAR)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT)
CREATE TABLE Staff (staff_id INT, staff_gender VARCHAR, staff_name VARCHAR)
CREATE TABLE Customer_Orders (order_id INT, customer_id INT, order_status_code VARCHAR, order_date DATETIME)
CREATE TABLE Customer_Addresses (customer_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Staff_Department_Assignments (staff_id INT, department_id INT, date_assigned_from DATETIME, job_title_code VARCHAR, date_assigned_to DATETIME)
CREATE TABLE Products (product_id INT, product_type_code VARCHAR, product_name VARCHAR, product_price DECIMAL)
| I want to know the proportion of minimum product price for each product type code. | SELECT product_type_code, MIN(product_price) FROM Products GROUP BY product_type_code | SELECT "product_type_code", MIN("product_price") FROM "Products" GROUP BY "product_type_code" | 0.09082 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many patients with elective admission type were born before the year 2107? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.admityear < "2107" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2107" > "demographic"."admityear" AND "ELECTIVE" = "demographic"."admission_type" | 0.15332 |
CREATE TABLE table_55836 ("Amino Acid" TEXT, "3-Letter" TEXT, "1-Letter" TEXT, "Side-chain polarity" TEXT, "Side-chain charge ( pH 7.4 ) " TEXT, "Hydropathy index" TEXT)
| What is the side-chain charge (ph 7.4) for the amino acid with the 1-letter p? | SELECT "Side-chain charge (pH 7.4)" FROM table_55836 WHERE "1-Letter" = 'p' | SELECT "Side-chain charge (pH 7.4)" FROM "table_55836" WHERE "1-Letter" = 'p' | 0.075195 |
CREATE TABLE table_1545 ("Rank" FLOAT, "Company" TEXT, "Headquarters" TEXT, "Industry" TEXT, "Sales ( billion $ ) " TEXT, "Profits ( billion $ ) " TEXT, "Assets ( billion $ ) " TEXT, "Market Value ( billion $ ) " TEXT)
| What are the assets for company who's headquarters are located in Brazil? | SELECT "Assets (billion $)" FROM table_1545 WHERE "Headquarters" = 'Brazil' | SELECT "Assets (billion $)" FROM "table_1545" WHERE "Headquarters" = 'Brazil' | 0.075195 |
CREATE TABLE table_name_68 (torque VARCHAR, engine VARCHAR)
| What Torque has an AMC Power Tech I6 Engine? | SELECT torque FROM table_name_68 WHERE engine = "amc power tech i6" | SELECT "torque" FROM "table_name_68" WHERE "amc power tech i6" = "engine" | 0.071289 |
CREATE TABLE table_75230 ("Season" TEXT, "Oberliga Bayern" TEXT, "Oberliga Hessen" TEXT, "Oberliga Baden-W\\u00fcrttemberg" TEXT, "Oberliga S\\u00fcdwest" TEXT)
| Which Oberliga Bayern has a Season of 1981-82? | SELECT "Oberliga Bayern" FROM table_75230 WHERE "Season" = '1981-82' | SELECT "Oberliga Bayern" FROM "table_75230" WHERE "Season" = '1981-82' | 0.068359 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| provide the number of patients whose admission type is urgent and drug name is milrinone? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.drug = "Milrinone" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Milrinone" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.227539 |
CREATE TABLE music_festival (ID INT, Music_Festival TEXT, Date_of_ceremony TEXT, Category TEXT, Volume INT, Result TEXT)
CREATE TABLE volume (Volume_ID INT, Volume_Issue TEXT, Issue_Date TEXT, Weeks_on_Top FLOAT, Song TEXT, Artist_ID INT)
CREATE TABLE artist (Artist_ID INT, Artist TEXT, Age INT, Famous_Title TEXT, Famous_Release_date TEXT)
| Return the results of all music festivals using a bar chart, I want to sort Y in ascending order. | SELECT Result, COUNT(Result) FROM music_festival GROUP BY Result ORDER BY COUNT(Result) | SELECT "Result", COUNT("Result") FROM "music_festival" GROUP BY "Result" ORDER BY COUNT("Result") NULLS FIRST | 0.106445 |
CREATE TABLE table_33515 ("Date" TEXT, "Result" TEXT, "Score" TEXT, "Stadium" TEXT, "City" TEXT, "Crowd" FLOAT)
| For the match ending in a score of 66-20, what was the stadium? | SELECT "Stadium" FROM table_33515 WHERE "Score" = '66-20' | SELECT "Stadium" FROM "table_33515" WHERE "Score" = '66-20' | 0.057617 |
CREATE TABLE Performance (bandmate VARCHAR, SongId VARCHAR)
CREATE TABLE Band (firstname VARCHAR, lastname VARCHAR, id VARCHAR)
CREATE TABLE Songs (SongId VARCHAR, Title VARCHAR)
| Who performed the song named 'Badlands'? Show the first name and the last name. | SELECT T2.firstname, T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands" | SELECT "T2"."firstname", "T2"."lastname" FROM "Performance" AS "T1" JOIN "Band" AS "T2" ON "T1"."bandmate" = "T2"."id" JOIN "Songs" AS "T3" ON "Badlands" = "T3"."Title" AND "T1"."SongId" = "T3"."SongId" | 0.197266 |
CREATE TABLE table_37858 ("Date" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Venue" TEXT, "Crowd" TEXT, "Report" TEXT)
| What report has a score of 0-0 with Sydney FC? | SELECT "Report" FROM table_37858 WHERE "Score" = '0-0' AND "Away team" = 'sydney fc' | SELECT "Report" FROM "table_37858" WHERE "Away team" = 'sydney fc' AND "Score" = '0-0' | 0.083984 |
CREATE TABLE table_203_95 (id DECIMAL, "year" TEXT, "democratic\ party" DECIMAL, "republican\ party" DECIMAL, "independent\ / other" TEXT, "majority" DECIMAL)
| in what years did independent/other party have majority control in the south carolina house of representatives ? | SELECT "year" FROM table_203_95 WHERE "independent\n/ other" > "republican\nparty" AND "independent\n/ other" > "democratic\nparty" | SELECT "year" FROM "table_203_95" WHERE "democratic\nparty" < "independent\n/ other" AND "independent\n/ other" > "republican\nparty" | 0.129883 |
CREATE TABLE table_49525 ("Year" TEXT, "Designated Grand Prix" TEXT, "Track" TEXT, "250 cc" TEXT, "350 cc" TEXT, "500 cc" TEXT, "Report" TEXT)
| What track was used in 1926? | SELECT "Track" FROM table_49525 WHERE "Year" = '1926' | SELECT "Track" FROM "table_49525" WHERE "Year" = '1926' | 0.053711 |
CREATE TABLE gas_station (Station_ID INT, Open_Year INT, Location TEXT, Manager_Name TEXT, Vice_Manager_Name TEXT, Representative_Name TEXT)
CREATE TABLE station_company (Station_ID INT, Company_ID INT, Rank_of_the_Year INT)
CREATE TABLE company (Company_ID INT, Rank INT, Company TEXT, Headquarters TEXT, Main_Industry TEXT, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value FLOAT)
| Draw a bar chart of main industry versus total number of market value, order from high to low by the names. | SELECT Main_Industry, SUM(Market_Value) FROM company GROUP BY Main_Industry ORDER BY Main_Industry DESC | SELECT "Main_Industry", SUM("Market_Value") FROM "company" GROUP BY "Main_Industry" ORDER BY "Main_Industry" DESC NULLS LAST | 0.121094 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what are the three most common diagnoses that patients were diagnosed within the same month after they were diagnosed with obstructive sleep apnea last year? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, 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 = 'obstructive sleep apnea') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 3) | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) 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" = 'obstructive sleep apnea' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 1.250977 |
CREATE TABLE table_55546 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Who was the home team when the away team scored 8.7 (55)? | SELECT "Home team" FROM table_55546 WHERE "Away team score" = '8.7 (55)' | SELECT "Home team" FROM "table_55546" WHERE "Away team score" = '8.7 (55)' | 0.072266 |
CREATE TABLE table_62848 ("Rank" FLOAT, "Athlete" TEXT, "Country" TEXT, "Time" TEXT, "Notes" TEXT)
| Who was the athlete from Lithuania? | SELECT "Athlete" FROM table_62848 WHERE "Country" = 'lithuania' | SELECT "Athlete" FROM "table_62848" WHERE "Country" = 'lithuania' | 0.063477 |
CREATE TABLE table_204_543 (id DECIMAL, "national team" TEXT, "title ( s ) \ represented" TEXT, "first\ worn" DECIMAL, "number\ of stars" DECIMAL, "notes" TEXT)
| what is the only team to wear a star representing olympic victories ? | SELECT "national team" FROM table_204_543 WHERE "title(s)\nrepresented" = 'olympics' | SELECT "national team" FROM "table_204_543" WHERE "title(s)\nrepresented" = 'olympics' | 0.083984 |
CREATE TABLE table_48493 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Competition" TEXT, "Report" TEXT)
| What is the score for a report of AFC on April 4, 2008? | SELECT "Score" FROM table_48493 WHERE "Report" = 'afc' AND "Date" = 'april 4, 2008' | SELECT "Score" FROM "table_48493" WHERE "Date" = 'april 4, 2008' AND "Report" = 'afc' | 0.083008 |
CREATE TABLE table_name_22 (Id VARCHAR)
| What is 1997, when 2003 is 0 / 4? | SELECT 1997 FROM table_name_22 WHERE 2003 = "0 / 4" | SELECT 1997 FROM "table_name_22" WHERE "0 / 4" = 2003 | 0.051758 |
CREATE TABLE table_54513 ("Year" FLOAT, "Winner" TEXT, "Jockey" TEXT, "Trainer" TEXT, "Owner" TEXT, "Distance ( Miles ) " TEXT, "Time" TEXT)
| Who was the trainer with Robert Courtney was owner? | SELECT "Trainer" FROM table_54513 WHERE "Owner" = 'robert courtney' | SELECT "Trainer" FROM "table_54513" WHERE "Owner" = 'robert courtney' | 0.067383 |
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
| What is the total credit does each department offer, I want to sort y-axis in desc order. | SELECT DEPT_CODE, SUM(CRS_CREDIT) FROM COURSE GROUP BY DEPT_CODE ORDER BY SUM(CRS_CREDIT) DESC | SELECT "DEPT_CODE", SUM("CRS_CREDIT") FROM "COURSE" GROUP BY "DEPT_CODE" ORDER BY SUM("CRS_CREDIT") DESC NULLS LAST | 0.112305 |
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