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Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_8 (born_died VARCHAR, entered_office VARCHAR)
### Question ###
What is the born-died that has office of 13 September 1229 as the entered?
### Accurate SQL ###
| SELECT born_died FROM table_name_8 WHERE entered_office = "13 september 1229" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_20 (average VARCHAR, team VARCHAR, highest VARCHAR)
### Question ###
Team of elgin city, and a Highest smaller than 537 had what total number of average?
### Accurate SQL ###
| SELECT COUNT(average) FROM table_name_20 WHERE team = "elgin city" AND highest < 537 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE grapes ( ID INTEGER, Grape TEXT, Color TEXT )
TABLE: CREATE TABLE appellations ( No INTEGER, Appelation TEXT, County TEXT, State TEXT, Area TEXT, isAVA TEXT )
TABLE: CREATE TABLE wine ( No INTEGER, Grape TEXT, Winery TEXT, Appelation TEXT, State TEXT, Name TEXT, Year INTEGER, Price INTEGER, Score INTEGER, Cases INTEGER, Drink TEXT )
### Question ###
A bar chart for what are the number of the wines that have prices lower than 50 and have appelations in Monterey county?, and display by the x-axis in desc please.
### Accurate SQL ###
| SELECT Name, COUNT(Name) FROM appellations AS T1 JOIN wine AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = "Monterey" AND T2.Price < 50 GROUP BY Name ORDER BY Name DESC |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE aircraft ( aid number(9,0), name varchar2(30), distance number(6,0) )
TABLE: CREATE TABLE certificate ( eid number(9,0), aid number(9,0) )
TABLE: CREATE TABLE flight ( flno number(4,0), origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0) )
TABLE: CREATE TABLE employee ( eid number(9,0), name varchar2(30), salary number(10,2) )
### Question ###
Show name and distance for all aircrafts by a bar chart, and display by the total number in desc please.
### Accurate SQL ###
| SELECT name, distance FROM aircraft ORDER BY distance DESC |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_15530244_5 ( race_2 VARCHAR, driver VARCHAR )
### Question ###
Name the race 2 for james winslow
### Accurate SQL ###
| SELECT race_2 FROM table_15530244_5 WHERE driver = "James Winslow" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_44 (televote INTEGER, artist VARCHAR, place VARCHAR)
### Question ###
What is the total of televote for the artist Pokeris when the place was less than 10?
### Accurate SQL ###
| SELECT SUM(televote) FROM table_name_44 WHERE artist = "pokeris" AND place < 10 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_29002641_1 (into_service VARCHAR, number VARCHAR)
### Question ###
Name the into service for dh1
### Accurate SQL ###
| SELECT into_service FROM table_29002641_1 WHERE number = "DH1" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_4013 ( "Ethnic group" text, "2001 population" real, "2001 %" text, "2011 population" real, "2011 %" text )
### Question ###
What is the highest 2011 population when the ethnic group is asian or asian british: asian other?
### Accurate SQL ###
| SELECT MAX("2011 population") FROM table_4013 WHERE "Ethnic group" = 'Asian or Asian British: Asian Other' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_44828 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text, "Money ( $ )" text )
### Question ###
What country placed t6 with player Vijay Singh?
### Accurate SQL ###
| SELECT "Country" FROM table_44828 WHERE "Place" = 't6' AND "Player" = 'vijay singh' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_67599 ( "Team" text, "Played" real, "Drawn" real, "Lost" real, "Points" real )
### Question ###
How many total losses have teams that played more than 30 games?
### Accurate SQL ###
| SELECT COUNT("Lost") FROM table_67599 WHERE "Played" > '30' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_1279 ( "Mission name" text, "Lunar lander" text, "Lunar landing date" text, "Lunar blastoff date" text, "Lunar landing site" text, "Duration on lunar surface" text, "Crew" text, "Number of s EVA" real, "Total EVA Time (HH:MM)" text )
### Question ###
Name the mission name for 21 november 1969
### Accurate SQL ###
| SELECT "Mission name" FROM table_1279 WHERE "Lunar blastoff date" = '21 November 1969' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_38 ( Id VARCHAR )
### Question ###
What is the maximum 2002 figure when 2008 is 19.5, 2006 is less than 24.5 and 1999 is 18.3?
### Accurate SQL ###
| SELECT MAX(2002) FROM table_name_38 WHERE 2008 > 19.5 AND 2006 < 24.5 AND 1999 = 18.3 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_23480 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )
### Question ###
how many high points where date is february 19
### Accurate SQL ###
| SELECT COUNT("High points") FROM table_23480 WHERE "Date" = 'February 19' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time )
TABLE: CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number )
TABLE: CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text )
TABLE: CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number )
TABLE: CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time )
TABLE: CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time )
TABLE: CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number )
TABLE: CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text )
TABLE: CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time )
TABLE: CREATE TABLE d_labitems ( row_id number, itemid number, label text )
TABLE: CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text )
TABLE: CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number )
TABLE: CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time )
TABLE: CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text )
TABLE: CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text )
### Question ###
how much weight was patient 12274's first weight until 11/2105?
### Accurate SQL ###
| SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12274)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') AND STRFTIME('%y-%m', chartevents.charttime) <= '2105-11' ORDER BY chartevents.charttime LIMIT 1 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_93 ( points VARCHAR, artist VARCHAR, draw VARCHAR )
### Question ###
What's the total number of points for grace dunne with a draw over 5?
### Accurate SQL ###
| SELECT COUNT(points) FROM table_name_93 WHERE artist = "grace dunne" AND draw > 5 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_2980024_1 ( other_goals VARCHAR, league_goals VARCHAR )
### Question ###
How many other goals did Dunne have in the season where he had 1 league goal?
### Accurate SQL ###
| SELECT other_goals FROM table_2980024_1 WHERE league_goals = 1 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_4430 ( "Pick" text, "Player" text, "Position" text, "Nationality" text, "NHL team" text, "College/junior/club team" text )
### Question ###
Who is the player from Canada with a 199 pick?
### Accurate SQL ###
| SELECT "Player" FROM table_4430 WHERE "Nationality" = 'canada' AND "Pick" = '199' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE train ( Train_ID int, Train_Num text, Name text, From text, Arrival text, Railway_ID int )
TABLE: CREATE TABLE manager ( Manager_ID int, Name text, Country text, Working_year_starts text, Age int, Level int )
TABLE: CREATE TABLE railway_manage ( Railway_ID int, Manager_ID int, From_Year text )
TABLE: CREATE TABLE railway ( Railway_ID int, Railway text, Builder text, Built text, Wheels text, Location text, ObjectNumber text )
### Question ###
Give me a bar chart for how many name of each name, could you show x-axis from low to high order please?
### Accurate SQL ###
| SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY Name |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_57 ( country VARCHAR, place VARCHAR, player VARCHAR )
### Question ###
What is the Country of T6 Place Player Ben Crenshaw?
### Accurate SQL ###
| SELECT country FROM table_name_57 WHERE place = "t6" AND player = "ben crenshaw" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_68477 ( "Team 1" text, "Agg." text, "Team 2" text, "1st leg" text, "2nd leg" text )
### Question ###
Who played as Team 1 against Lom i?
### Accurate SQL ###
| SELECT "Team 1" FROM table_68477 WHERE "Team 2" = 'lomé i' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_66 ( assists INTEGER, rank VARCHAR, games VARCHAR )
### Question ###
How many Assists for the Player with a Rank greater than 3 in less than 25 Games?
### Accurate SQL ###
| SELECT AVG(assists) FROM table_name_66 WHERE rank > 3 AND games < 25 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_78249 ( "Year" real, "Manufacturer" text, "Model" text, "Length (ft.)" text, "Fuel or Propulsion" text, "Fleet series" text, "Quantity" real )
### Question ###
Tell me the model with fuel or propulsion of diesel and orion manufacturer in 2005
### Accurate SQL ###
| SELECT "Model" FROM table_78249 WHERE "Fuel or Propulsion" = 'diesel' AND "Manufacturer" = 'orion' AND "Year" = '2005' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int )
TABLE: 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 )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar )
TABLE: CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text )
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE state ( state_code text, state_name text, country_name text )
TABLE: 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 )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: 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 )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
TABLE: CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text )
TABLE: 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 )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type varchar )
TABLE: 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 )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
TABLE: CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
### Question ###
i'd like to find the cheapest flight from BOSTON to SAN FRANCISCO
### Accurate SQL ###
| 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 = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' 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 = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'SAN FRANCISCO' 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 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_46522 ( "Res." text, "Record" text, "Opponent" text, "Method" text, "Event" text, "Round" real, "Time" text, "Location" text )
### Question ###
Which Record has a Time of n/a?
### Accurate SQL ###
| SELECT "Record" FROM table_46522 WHERE "Time" = 'n/a' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_78013 ( "Region" text, "Date" text, "Label" text, "Format" text, "Catalogue" text )
### Question ###
Name the october 15, 2004 catalogue
### Accurate SQL ###
| SELECT "Catalogue" FROM table_78013 WHERE "Date" = 'october 15, 2004' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_48 ( tournament VARCHAR, result VARCHAR )
### Question ###
Which tournament resulted in 6th place?
### Accurate SQL ###
| SELECT tournament FROM table_name_48 WHERE result = "6th" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_11 (brazil_scorers VARCHAR, score VARCHAR)
### Question ###
Who were the Brazil scorers who scored 3-3?
### Accurate SQL ###
| SELECT brazil_scorers FROM table_name_11 WHERE score = "3-3" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text )
TABLE: 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 )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type varchar )
TABLE: 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 )
TABLE: CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
TABLE: 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 )
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int )
TABLE: 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 )
TABLE: CREATE TABLE state ( state_code text, state_name text, country_name text )
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
TABLE: CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
TABLE: 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 )
### Question ###
what RENTAL CAR are available next sunday from DEN airport
### Accurate SQL ###
| SELECT DISTINCT ground_service.transport_type FROM airport, ground_service WHERE airport.airport_code = 'DEN' AND ground_service.airport_code = airport.airport_code AND ground_service.transport_type = 'RENTAL CAR' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_52 (l_100km_extra_urban VARCHAR, mpg_us_combined VARCHAR, fuel_type VARCHAR, mpg_uk_combined VARCHAR, l_100km_combined VARCHAR)
### Question ###
What's the total L/100km extra urban fueled by diesel, when the mpg-UK combines is more than 19.2, mpg-US is less than 50 and the L/100m combined is less than 5.7?
### Accurate SQL ###
| SELECT COUNT(l_100km_extra_urban) FROM table_name_52 WHERE mpg_uk_combined > 19.2 AND l_100km_combined < 5.7 AND fuel_type = "diesel" AND mpg_us_combined < 50 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: 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 )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
### Question ###
what is the age and item id of subject id 2560?
### Accurate SQL ###
| SELECT demographic.age, lab.itemid FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.subject_id = "2560" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_10294071_1 (total_w_l VARCHAR, doubles_w_l VARCHAR)
### Question ###
what is the total number of total w–l where doubles w–l is 11–11
### Accurate SQL ###
| SELECT COUNT(total_w_l) FROM table_10294071_1 WHERE doubles_w_l = "11–11" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_72 ( loser VARCHAR, sport VARCHAR )
### Question ###
What losing team plays hockey?
### Accurate SQL ###
| SELECT loser FROM table_name_72 WHERE sport = "hockey" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_36 (pick__number INTEGER, position VARCHAR, round VARCHAR)
### Question ###
What is the sum of Pick #, when Position is Guard, and when Round is greater than 2?
### Accurate SQL ###
| SELECT SUM(pick__number) FROM table_name_36 WHERE position = "guard" AND round > 2 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_2333416_2 ( wins INTEGER )
### Question ###
What is the greatest number of wins Ken Bouchard had in a season?
### Accurate SQL ###
| SELECT MIN(wins) FROM table_2333416_2 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Grants ( organisation_id VARCHAR, grant_amount INTEGER )
### Question ###
What is the total amount of grants given by each organisations? Also list the organisation id.
### Accurate SQL ###
| SELECT SUM(grant_amount), organisation_id FROM Grants GROUP BY organisation_id |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_39445 ( "Rank" real, "Country" text, "Wins (Outdoor)" real, "Wins (Indoor)" real, "Wins (Total)" real )
### Question ###
Name the average wins outdoor with rank more than 4 and wins less than 3 with outdoor wins more than 0
### Accurate SQL ###
| SELECT AVG("Wins (Outdoor)") FROM table_39445 WHERE "Rank" > '4' AND "Wins (Total)" < '3' AND "Wins (Indoor)" > '0' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_19210115_1 ( enrollment VARCHAR, founded VARCHAR )
### Question ###
How many University founded in 1863?
### Accurate SQL ###
| SELECT COUNT(enrollment) FROM table_19210115_1 WHERE founded = 1863 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other )
TABLE: CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number )
TABLE: CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number )
TABLE: CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE PostHistoryTypes ( Id number, Name text )
TABLE: CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number )
TABLE: CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number )
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostTypes ( Id number, Name text )
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number )
### Question ###
POST ID TO POST DATA.
### Accurate SQL ###
| SELECT (Body) FROM Posts WHERE Id = '##POSTID##' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_19074 ( "Previous season" text, "Team" text, "Town" text, "Arena (capacity)" text, "Website" text, "Head Coach" text, "Foreign Players (max. 2)" text )
### Question ###
What arena was season 6 played at?
### Accurate SQL ###
| SELECT "Arena (capacity)" FROM table_19074 WHERE "Previous season" = '6' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_55366 ( "Title" text, "Original story author" text, "Director" text, "Original U.S. air-date" text, "Original Canadian air-date" text )
### Question ###
What is the Original Canadian air-date that was directed by Michael Tolkin?
### Accurate SQL ###
| SELECT "Original Canadian air-date" FROM table_55366 WHERE "Director" = 'michael tolkin' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_71 ( date VARCHAR, record VARCHAR )
### Question ###
What date was the record 38-22?
### Accurate SQL ###
| SELECT date FROM table_name_71 WHERE record = "38-22" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE college ( cname text, state text, enr number )
TABLE: CREATE TABLE tryout ( pid number, cname text, ppos text, decision text )
TABLE: CREATE TABLE player ( pid number, pname text, ycard text, hs number )
### Question ###
What is the average, maximum, and minimum for the number of hours spent training?
### Accurate SQL ###
| SELECT AVG(hs), MAX(hs), MIN(hs) FROM player |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE state ( state_code text, state_name text, country_name text )
TABLE: 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 )
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
TABLE: CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int )
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: 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 )
TABLE: CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text )
TABLE: CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
TABLE: CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type varchar )
TABLE: 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 )
TABLE: 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 )
TABLE: 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 )
### Question ###
please list the flights from PHILADELPHIA to TORONTO
### Accurate SQL ###
| 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 = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'TORONTO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_55 (name VARCHAR, year VARCHAR, floors VARCHAR)
### Question ###
What is the name of the building housing more than 101 floors, that was built after 2006?
### Accurate SQL ###
| SELECT name FROM table_name_55 WHERE year > 2006 AND floors > 101 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
TABLE: 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 )
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
TABLE: CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text )
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type varchar )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: 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 )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
TABLE: CREATE TABLE state ( state_code text, state_name text, country_name text )
TABLE: CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text )
TABLE: 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 )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar )
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
### Question ###
list all afternoon flights on UA from SAN FRANCISCO to DENVER
### Accurate SQL ###
| 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.departure_time <= 1200 AND flight.departure_time >= 1800) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'UA' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_50 ( incumbent VARCHAR, district VARCHAR )
### Question ###
Who was the incumbent from the Ohio 13 district?
### Accurate SQL ###
| SELECT incumbent FROM table_name_50 WHERE district = "ohio 13" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_16 ( wednesday VARCHAR, sunday VARCHAR )
### Question ###
Which Wednesday has a Sunday of ?
### Accurate SQL ###
| SELECT wednesday FROM table_name_16 WHERE sunday = "གཟའ་ཉི་མ།" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_40358 ( "Position" text, "Jersey #" real, "Name" text, "Height (cm)" real, "Weight (kg)" real, "Birthdate" text, "Birthplace" text, "2008\u20132009 Team" text )
### Question ###
What is the birthdate of Robert Esche?
### Accurate SQL ###
| SELECT "Birthdate" FROM table_40358 WHERE "Name" = 'robert esche' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
### Question ###
how many of the patients diagnosed with sepsis received ed therapy?
### Accurate SQL ###
| 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.long_title = "Sepsis" AND prescriptions.route = "ED" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_26334740_3 ( winning_team VARCHAR, race VARCHAR )
### Question ###
What team won Race 17?
### Accurate SQL ###
| SELECT winning_team FROM table_26334740_3 WHERE race = 17 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_14342592_5 (player VARCHAR, position VARCHAR)
### Question ###
What players played the position of left tackle?
### Accurate SQL ###
| SELECT player FROM table_14342592_5 WHERE position = "Left tackle" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text )
TABLE: CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number )
TABLE: CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time )
TABLE: CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time )
TABLE: CREATE TABLE outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number )
TABLE: CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text )
TABLE: CREATE TABLE chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text )
TABLE: CREATE TABLE icustays ( row_id number, subject_id number, hadm_id number, icustay_id number, first_careunit text, last_careunit text, first_wardid number, last_wardid number, intime time, outtime time )
TABLE: CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE prescriptions ( row_id number, subject_id number, hadm_id number, startdate time, enddate time, drug text, dose_val_rx text, dose_unit_rx text, route text )
TABLE: CREATE TABLE admissions ( row_id number, subject_id number, hadm_id number, admittime time, dischtime time, admission_type text, admission_location text, discharge_location text, insurance text, language text, marital_status text, ethnicity text, age number )
TABLE: CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time )
TABLE: CREATE TABLE transfers ( row_id number, subject_id number, hadm_id number, icustay_id number, eventtype text, careunit text, wardid number, intime time, outtime time )
TABLE: CREATE TABLE cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number )
TABLE: CREATE TABLE d_labitems ( row_id number, itemid number, label text )
TABLE: CREATE TABLE microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text )
### Question ###
list the top four most frequent diagnoses which patients were diagnosed with within the same month after receiving aortocor bypas-3 cor art until 2 years ago.
### Accurate SQL ###
| 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, procedures_icd.charttime 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 = 'aortocor bypas-3 cor art') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 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) <= DATETIME(CURRENT_TIME(), '-2 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 <= 4) |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_train_157 ( "id" int, "gender" string, "systolic_blood_pressure_sbp" int, "hemoglobin_a1c_hba1c" float, "platelets" int, "renal_disease" bool, "c_reactive_protein" float, "creatinine_clearance_cl" float, "urine_protein" int, "serum_creatinine" float, "proteinuria" int, "NOUSE" float )
### Question ###
hemoglobin < 10 g / dl or platelets < 100 k / ml
### Accurate SQL ###
| SELECT * FROM table_train_157 WHERE hemoglobin_a1c_hba1c < 10 OR platelets < 100 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_62288 ( "Tie no" text, "Home team" text, "Score" text, "Away team" text, "Date" text )
### Question ###
What date has 11 as the tie no.?
### Accurate SQL ###
| SELECT "Date" FROM table_62288 WHERE "Tie no" = '11' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time )
TABLE: CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time )
TABLE: CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time )
TABLE: CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number )
TABLE: CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
TABLE: CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time )
TABLE: CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time )
TABLE: CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time )
TABLE: CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
TABLE: CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text )
### Question ###
what is the yearly maximum amount of po that patient 002-39247 took?
### Accurate SQL ###
| SELECT MAX(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-39247')) AND intakeoutput.celllabel = 'po' AND intakeoutput.cellpath LIKE '%intake%' GROUP BY STRFTIME('%y', intakeoutput.intakeoutputtime) |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_12684 ( "Season" text, "GP/MP" text, "Kills" real, "K/Game" real, "Errors" real, "Total Attempts" real, "Percentage" real, "Assists" real, "Service Aces" real, "Digs" real, "Solo Blocks" real, "Block Assists" real, "Total Blocks" real )
### Question ###
When there are more than 126 errors, more than 551 kills, and more than 40 assists for the 2007 season, what is the total of Solo Blocks?
### Accurate SQL ###
| SELECT SUM("Solo Blocks") FROM table_12684 WHERE "Errors" > '126' AND "Kills" > '551' AND "Season" = '2007' AND "Assists" > '40' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_57291 ( "Year" real, "Entrant" text, "Chassis" text, "Engine" text, "Points" real )
### Question ###
What is the latest year that has more than 5 points and a renault ef15 1.5 v6 t engine?
### Accurate SQL ###
| SELECT MAX("Year") FROM table_57291 WHERE "Engine" = 'renault ef15 1.5 v6 t' AND "Points" > '5' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_34 (Id VARCHAR)
### Question ###
What 2006 has q2 as the 2007?
### Accurate SQL ###
| SELECT 2006 FROM table_name_34 WHERE 2007 = "q2" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_37 (goals INTEGER, matches VARCHAR, name VARCHAR)
### Question ###
What are the lowest goal that have goals/matches greater than 0.43 with joachim streich as the name and matches greater than 378?
### Accurate SQL ###
| SELECT MIN(goals) FROM table_name_37 WHERE goals / matches > 0.43 AND name = "joachim streich" AND matches > 378 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_27 (world_record VARCHAR)
### Question ###
Who has the world record of 153kg in the clean & jerk?
### Accurate SQL ###
| SELECT 153 AS kg FROM table_name_27 WHERE world_record = "clean & jerk" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_16 (score VARCHAR, opponent VARCHAR, date VARCHAR)
### Question ###
What Score has an Opponent of @ Blue Jays with a Date of June 7?
### Accurate SQL ###
| SELECT score FROM table_name_16 WHERE opponent = "@ blue jays" AND date = "june 7" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_10 ( class VARCHAR, call_sign VARCHAR )
### Question ###
What class does the w298ak sign belong to?
### Accurate SQL ###
| SELECT class FROM table_name_10 WHERE call_sign = "w298ak" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_89 ( elevator VARCHAR, elector VARCHAR, elevated VARCHAR, nationality VARCHAR )
### Question ###
Which Elevator has Elevated of april 12, 1281, a Nationality of french, and an Elector of jean cholet?
### Accurate SQL ###
| SELECT elevator FROM table_name_89 WHERE elevated = "april 12, 1281" AND nationality = "french" AND elector = "jean cholet" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number )
TABLE: CREATE TABLE PostTypes ( Id number, Name text )
TABLE: CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
TABLE: CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number )
TABLE: CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number )
TABLE: CREATE TABLE PostHistoryTypes ( Id number, Name text )
TABLE: CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number )
TABLE: CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other )
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time )
### Question ###
Suggested edits which are possibly affected by rollback bug.
### Accurate SQL ###
| SELECT e.PostId AS "post_link" FROM SuggestedEdits AS e INNER JOIN PostHistory AS th ON e.PostId = th.PostId AND e.ApprovalDate = th.CreationDate LEFT OUTER JOIN PostHistory AS h ON e.PostId = h.PostId AND e.ApprovalDate = h.CreationDate AND e.OwnerUserId = h.UserId AND h.PostHistoryTypeId IN (4, 5) WHERE th.PostHistoryTypeId = 6 AND h.Id IS NULL AND e.ApprovalDate >= '2016-12-01' AND e.PostId = 40356855 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_54 ( roger_françois VARCHAR, world_record VARCHAR )
### Question ###
What is the total amount of world records for Roger Francois?
### Accurate SQL ###
| SELECT roger_françois FROM table_name_54 WHERE world_record = "total" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_45 ( north VARCHAR, south VARCHAR )
### Question ###
What is the north with sb rosenheim as the south?
### Accurate SQL ###
| SELECT north FROM table_name_45 WHERE south = "sb rosenheim" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_11677760_1 (college VARCHAR, player VARCHAR)
### Question ###
what is the college for the player damon bailey?
### Accurate SQL ###
| SELECT college FROM table_11677760_1 WHERE player = "Damon Bailey" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: 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 )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type varchar )
TABLE: 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 )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
TABLE: CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: 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 )
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text )
TABLE: CREATE TABLE state ( state_code text, state_name text, country_name text )
TABLE: 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 )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar )
TABLE: 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 )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
TABLE: CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text )
TABLE: 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 )
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: 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 )
### Question ###
please give me information on a flight on 4 17 from PHILADELPHIA to BOSTON as early as possible
### Accurate SQL ###
| 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 = 'BOSTON' AND date_day.day_number = 17 AND date_day.month_number = 4 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 = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias1, days AS DAYSalias1, flight AS FLIGHTalias1 WHERE (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BOSTON' AND DATE_DAYalias1.day_number = 17 AND DATE_DAYalias1.month_number = 4 AND DATE_DAYalias1.year = 1991 AND DAYSalias1.day_name = DATE_DAYalias1.day_name AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'PHILADELPHIA' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE state ( state_code text, state_name text, country_name text )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
TABLE: CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar )
TABLE: 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 )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
TABLE: 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 )
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type varchar )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
TABLE: 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 )
TABLE: CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: 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 )
TABLE: CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text )
TABLE: 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 )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: 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 )
TABLE: 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 )
### Question ###
how many flights does each airline have with BUSINESS class service
### Accurate SQL ###
| SELECT DISTINCT COUNT(*), flight.airline_code FROM fare, fare_basis, flight, flight_fare WHERE fare_basis.class_type = 'BUSINESS' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id GROUP BY flight.airline_code |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_53262 ( "Rank" real, "Previous Rank" text, "Name" text, "Nationality" text, "Team" text, "Points" real )
### Question ###
Tell me the sum of rank for australia when points are less than 79
### Accurate SQL ###
| SELECT SUM("Rank") FROM table_53262 WHERE "Nationality" = 'australia' AND "Points" < '79' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_79316 ( "Rank" real, "Heat" real, "Lane" real, "Nationality" text, "Time" text )
### Question ###
Can you tell me the Time that has the Heat of 1, and the Lane of 2?
### Accurate SQL ###
| SELECT "Time" FROM table_79316 WHERE "Heat" = '1' AND "Lane" = '2' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_22917458_15 (mountains_classification_klasyfikacja_górska VARCHAR, winner VARCHAR)
### Question ###
Who was the mountain classification winner in the stage won by Alessandro Ballan?
### Accurate SQL ###
| SELECT mountains_classification_klasyfikacja_górska FROM table_22917458_15 WHERE winner = "Alessandro Ballan" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text )
TABLE: CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar )
TABLE: 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 )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: 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 )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
TABLE: CREATE TABLE class_of_service ( booking_class varchar, rank int, class_description text )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type varchar )
TABLE: 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 )
TABLE: CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: CREATE TABLE state ( state_code text, state_name text, country_name text )
TABLE: 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 )
TABLE: 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 )
### Question ###
show me the flights from BALTIMORE to OAKLAND
### Accurate SQL ###
| SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text )
TABLE: CREATE TABLE basketball_match ( Team_ID int, School_ID int, Team_Name text, ACC_Regular_Season text, ACC_Percent text, ACC_Home text, ACC_Road text, All_Games text, All_Games_Percent int, All_Home text, All_Road text, All_Neutral text )
### Question ###
A scatter chart shows the correlation between Team_ID and ACC_Percent , and group by attribute Team_Name.
### Accurate SQL ###
| SELECT Team_ID, ACC_Percent FROM basketball_match GROUP BY Team_Name |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_35 (score VARCHAR, away_team VARCHAR)
### Question ###
What is the score for the away team Chelsea?
### Accurate SQL ###
| SELECT score FROM table_name_35 WHERE away_team = "chelsea" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_25 ( evening_gown INTEGER, swimsuit VARCHAR, interview VARCHAR )
### Question ###
Name the least evening gown for interview more than 7.97 and swimsui of 7.24
### Accurate SQL ###
| SELECT MIN(evening_gown) FROM table_name_25 WHERE swimsuit = 7.24 AND interview > 7.97 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_40 ( attendance INTEGER, home VARCHAR )
### Question ###
What is the average attendance of the game where the home team was the Blues?
### Accurate SQL ###
| SELECT AVG(attendance) FROM table_name_40 WHERE home = "blues" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: 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 )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
### Question ###
provide the number of patients whose admission type is emergency and days of hospital stay is greater than 2?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.days_stay > "2" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number )
TABLE: CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number )
TABLE: CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number )
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostHistoryTypes ( Id number, Name text )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE PostTypes ( Id number, Name text )
TABLE: CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number )
TABLE: CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number )
TABLE: CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time )
TABLE: CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number )
TABLE: CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other )
TABLE: CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
### Question ###
Top Go Users in Denver.
### Accurate SQL ###
| WITH USER_BY_TAG AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS Rank, u.Id AS "user_link", COUNT(*) AS UpVotes FROM Tags AS t INNER JOIN PostTags AS pt ON pt.TagId = t.Id INNER JOIN Posts AS p ON p.ParentId = pt.PostId INNER JOIN Votes AS v ON v.PostId = p.Id AND VoteTypeId = 2 INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE LOWER(Location) LIKE '%denver%' AND TagName = 'go' GROUP BY u.Id, TagName) SELECT * FROM USER_BY_TAG WHERE rank <= 1000 ORDER BY UpVotes DESC |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_3 (country VARCHAR, rank VARCHAR)
### Question ###
what is the country for rank 6?
### Accurate SQL ###
| SELECT country FROM table_name_3 WHERE rank = 6 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_12 ( nationality VARCHAR, round VARCHAR, nhl_team VARCHAR, college_junior_club_team__league_ VARCHAR )
### Question ###
What's the Nationality of Round 8 Vancouver Canucks NHL Team of Swift Current Broncos (WHL)?
### Accurate SQL ###
| SELECT nationality FROM table_name_12 WHERE nhl_team = "vancouver canucks" AND college_junior_club_team__league_ = "swift current broncos (whl)" AND round = 8 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
TABLE: CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text )
TABLE: CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time )
TABLE: CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time )
TABLE: CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
TABLE: CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time )
TABLE: CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time )
TABLE: CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time )
TABLE: CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number )
TABLE: CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time )
### Question ###
when was the last time patient 005-46456 was prescribed medication via arterial route in 11/last year?
### Accurate SQL ###
| SELECT medication.drugstarttime FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-46456')) AND medication.routeadmin = 'arterial' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', medication.drugstarttime) = '11' ORDER BY medication.drugstarttime DESC LIMIT 1 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_17156 ( "Player" text, "No.(s)" text, "Height in Ft." text, "Position" text, "Years for Rockets" text, "School/Club Team/Country" text )
### Question ###
Which years had a jersey number 55
### Accurate SQL ###
| SELECT "Years for Rockets" FROM table_17156 WHERE "No.(s)" = '55' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_11 ( entrant VARCHAR, year VARCHAR, chassis VARCHAR )
### Question ###
What ist he entrant later than 1963 with an eagle MK1 chassis?
### Accurate SQL ###
| SELECT entrant FROM table_name_11 WHERE year > 1963 AND chassis = "eagle mk1" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_80146 ( "Riding" text, "Candidate's Name" text, "Gender" text, "Residence" text, "Occupation" text, "Votes" real, "Rank" text )
### Question ###
What gender is Luc Desnoyers?
### Accurate SQL ###
| SELECT "Gender" FROM table_80146 WHERE "Candidate's Name" = 'luc desnoyers' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_11073 ( "City district (Stadtteil)" text, "Area in km\u00b2" text, "Population" real, "Foreign nationals" real, "Foreign nationals in %" text )
### Question ###
Tell me the average population with foreign nationals in % of 27,3%
### Accurate SQL ###
| SELECT AVG("Population") FROM table_11073 WHERE "Foreign nationals in %" = '27,3%' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_14342 ( "Round" real, "Race Title" text, "Grand Prix" text, "Circuit" text, "Date" text )
### Question ###
How many rounds have a Grand Prix of german gp?
### Accurate SQL ###
| SELECT SUM("Round") FROM table_14342 WHERE "Grand Prix" = 'german gp' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE Manufacturers ( Code INTEGER, Name VARCHAR(255), Headquarter VARCHAR(255), Founder VARCHAR(255), Revenue REAL )
TABLE: CREATE TABLE Products ( Code INTEGER, Name VARCHAR(255), Price DECIMAL, Manufacturer INTEGER )
### Question ###
What is the number of names for each product in the store?, and order Y in desc order.
### Accurate SQL ###
| SELECT Name, COUNT(Name) FROM Products GROUP BY Name ORDER BY COUNT(Name) DESC |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_84 (rounds VARCHAR, engine VARCHAR, driver VARCHAR)
### Question ###
How many rounds did satrio hermanto go with an opc-challenge engine?
### Accurate SQL ###
| SELECT rounds FROM table_name_84 WHERE engine = "opc-challenge" AND driver = "satrio hermanto" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_83 (against INTEGER, central_murray VARCHAR, losses VARCHAR)
### Question ###
What are the most againsts with more than 11 losses and central murray is Nyah Nyah West Utd?
### Accurate SQL ###
| SELECT MAX(against) FROM table_name_83 WHERE central_murray = "nyah nyah west utd" AND losses > 11 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number )
TABLE: CREATE TABLE PostTypes ( Id number, Name text )
TABLE: CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other )
TABLE: CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number )
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time )
TABLE: CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number )
TABLE: CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number )
TABLE: CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE PostHistoryTypes ( Id number, Name text )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
TABLE: CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
### Question ###
Find tags in need of love.
### Accurate SQL ###
| SELECT TagName, COUNT(Posts.Id) AS UnansweredCount, Tags.Count, CAST(COUNT(Posts.Id) AS FLOAT) / CAST(Tags.Count AS FLOAT) AS UnansweredRatio FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts ON Posts.Id = PostTags.PostId INNER JOIN Posts AS Answers ON Answers.ParentId = Posts.Id WHERE Posts.AcceptedAnswerId IS NULL GROUP BY TagName, Tags.Count ORDER BY COUNT(Posts.Id) DESC |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: 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 )
TABLE: 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 )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
### Question ###
how many white-russian patients were born before the year 2104?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.dob_year < "2104" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )
TABLE: CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
TABLE: CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
TABLE: 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 )
### Question ###
count the number of patients whose diagnoses short title is hx traumatic fracture?
### Accurate SQL ###
| SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Hx traumatic fracture" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) )
TABLE: CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) )
TABLE: CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) )
TABLE: CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )
TABLE: CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) )
TABLE: CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) )
TABLE: CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )
### Question ###
Give me a bar chart that groups and count the job id for all employees in the Finance department, I want to order Y-axis in asc order.
### Accurate SQL ###
| SELECT JOB_ID, COUNT(JOB_ID) FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T2.DEPARTMENT_NAME = 'Finance' GROUP BY JOB_ID ORDER BY COUNT(JOB_ID) |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_41 (city VARCHAR, results¹ VARCHAR)
### Question ###
what city has the results of 4:2?
### Accurate SQL ###
| SELECT city FROM table_name_41 WHERE results¹ = "4:2" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_name_17 (name VARCHAR, website VARCHAR)
### Question ###
What is the name of the newspaper with the website liderinformativo.com ?
### Accurate SQL ###
| SELECT name FROM table_name_17 WHERE website = "liderinformativo.com" |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
TABLE: CREATE TABLE patient ( uniquepid text, patienthealthsystemstayid number, patientunitstayid number, gender text, age text, ethnicity text, hospitalid number, wardid number, admissionheight number, admissionweight number, dischargeweight number, hospitaladmittime time, hospitaladmitsource text, unitadmittime time, unitdischargetime time, hospitaldischargetime time, hospitaldischargestatus text )
TABLE: CREATE TABLE allergy ( allergyid number, patientunitstayid number, drugname text, allergyname text, allergytime time )
TABLE: CREATE TABLE medication ( medicationid number, patientunitstayid number, drugname text, dosage text, routeadmin text, drugstarttime time, drugstoptime time )
TABLE: CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time )
TABLE: CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number )
TABLE: CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time )
TABLE: CREATE TABLE vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time )
TABLE: CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
TABLE: CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time )
### Question ###
what are the three commonly ordered drugs for patients aged 40s until 2101?
### Accurate SQL ###
| SELECT t1.drugname FROM (SELECT medication.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 40 AND 49) AND STRFTIME('%y', medication.drugstarttime) <= '2101' GROUP BY medication.drugname) AS t1 WHERE t1.c1 <= 3 |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_59403 ( "State" text, "Born/Died" text, "Active service" text, "Chief Judge" text, "Senior status" text, "Appointed by" text, "Reason for termination" text )
### Question ###
Which Chief Judge has Active service of 1873 1875?
### Accurate SQL ###
| SELECT "Chief Judge" FROM table_59403 WHERE "Active service" = '1873–1875' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE table_16843 ( "Player" text, "No." real, "Nationality" text, "Position" text, "Years for Jazz" text, "School/Club Team" text )
### Question ###
Which player played 2004-05
### Accurate SQL ###
| SELECT "Player" FROM table_16843 WHERE "Years for Jazz" = '2004-05' |
Below is the list of tables from the database along with their columns and datatype. Need to generate an accurate SQL query for the question.
Only use the columns present in the respective table. Only use the columns which are required to generate the SQL query. Only use table joins if required and not otherwise.
### Tables ###
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE Posts ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE ReviewTasks ( Id number, ReviewTaskTypeId number, CreationDate time, DeletionDate time, ReviewTaskStateId number, PostId number, SuggestedEditId number, CompletedByReviewTaskId number )
TABLE: CREATE TABLE PostNotices ( Id number, PostId number, PostNoticeTypeId number, CreationDate time, DeletionDate time, ExpiryDate time, Body text, OwnerUserId number, DeletionUserId number )
TABLE: CREATE TABLE Tags ( Id number, TagName text, Count number, ExcerptPostId number, WikiPostId number )
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE CloseAsOffTopicReasonTypes ( Id number, IsUniversal boolean, InputTitle text, MarkdownInputGuidance text, MarkdownPostOwnerGuidance text, MarkdownPrivilegedUserGuidance text, MarkdownConcensusDescription text, CreationDate time, CreationModeratorId number, ApprovalDate time, ApprovalModeratorId number, DeactivationDate time, DeactivationModeratorId number )
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE SuggestedEdits ( Id number, PostId number, CreationDate time, ApprovalDate time, RejectionDate time, OwnerUserId number, Comment text, Text text, Title text, Tags text, RevisionGUID other )
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate time )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE CloseReasonTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE PostTypes ( Id number, Name text )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId number )
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostHistoryTypes ( Id number, Name text )
TABLE: CREATE TABLE PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE ReviewTaskResultTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE Users ( Id number, Reputation number, CreationDate time, DisplayName text, LastAccessDate time, WebsiteUrl text, Location text, AboutMe text, Views number, UpVotes number, DownVotes number, ProfileImageUrl text, EmailHash text, AccountId number )
TABLE: CREATE TABLE PostsWithDeleted ( Id number, PostTypeId number, AcceptedAnswerId number, ParentId number, CreationDate time, DeletionDate time, Score number, ViewCount number, Body text, OwnerUserId number, OwnerDisplayName text, LastEditorUserId number, LastEditorDisplayName text, LastEditDate time, LastActivityDate time, Title text, Tags text, AnswerCount number, CommentCount number, FavoriteCount number, ClosedDate time, CommunityOwnedDate time, ContentLicense text )
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
### Question ###
Top 10 answerers by score for a tag.
### Accurate SQL ###
| SELECT Users.Id AS "user_link", SUM(Posts.Score) AS Score FROM Users JOIN Posts ON Users.Id = Posts.OwnerUserId JOIN PostTags ON PostTags.PostId = Posts.Id GROUP BY Users.Id, DisplayName ORDER BY SUM(Posts.Score) LIMIT 10 |
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