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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 program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar )
TABLE: CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_projects varchar, has_exams varchar, num_reviews int, clarity_score int, easiness_score int, helpfulness_score int )
TABLE: CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int )
TABLE: CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar )
TABLE: CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar )
TABLE: CREATE TABLE area ( course_id int, area varchar )
TABLE: CREATE TABLE semester ( semester_id int, semester varchar, year int )
TABLE: CREATE TABLE student ( student_id int, lastname varchar, firstname varchar, program_id int, declare_major varchar, total_credit int, total_gpa float, entered_as varchar, admit_term int, predicted_graduation_semester int, degree varchar, minor varchar, internship varchar )
TABLE: CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar )
TABLE: CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar )
TABLE: CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int )
TABLE: CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments int, respected int, participation int, heavy_reading int, tough_grader int, hilarious int, would_take_again int, good_lecture int, no_skip int )
TABLE: CREATE TABLE course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar )
TABLE: CREATE TABLE ta ( campus_job_id int, student_id int, location varchar )
TABLE: CREATE TABLE gsi ( course_offering_id int, student_id int )
TABLE: CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar )
TABLE: CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar )
TABLE: CREATE TABLE course_prerequisite ( pre_course_id int, course_id int )
### Question ###
542 is what size ?
### Accurate SQL ###
|
SELECT DISTINCT num_enrolled FROM course WHERE department = 'EECS' AND number = 542
|
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 time_interval ( period text, begin_time int, end_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 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 equipment_sequence ( aircraft_code_sequence varchar, aircraft_code 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 ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type varchar )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id 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 airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant 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 month ( month_number int, month_name text )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code 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 food_service ( meal_code text, meal_number int, compartment text, meal_description 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 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 time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: CREATE TABLE flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
### Question ###
is there a flight on CO from BOSTON 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 (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'CO'
|
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_1341930_33 ( district VARCHAR, incumbent VARCHAR )
### Question ###
what's the district with incumbent being lawrence h. fountain
### Accurate SQL ###
|
SELECT district FROM table_1341930_33 WHERE incumbent = "Lawrence H. Fountain"
|
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 ###
give me the number of patients whose admission type is emergency and drug route is oral?
### Accurate SQL ###
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.route = "ORAL"
|
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_203_269 ( id number, "season" text, "competition" text, "round" text, "club" text, "home" text, "away" text, "aggregate" text )
### Question ###
what is the last competition they competed in ?
### Accurate SQL ###
|
SELECT "competition" FROM table_203_269 ORDER BY id 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_name_92 ( goals INTEGER, team VARCHAR, average VARCHAR )
### Question ###
What Goals has a Team of zamora, and Average larger than 0.89?
### Accurate SQL ###
|
SELECT AVG(goals) FROM table_name_92 WHERE team = "zamora" AND average > 0.89
|
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 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 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 dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_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 compartment_class ( compartment varchar, class_type varchar )
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 days ( days_code varchar, day_name varchar )
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 state ( state_code text, state_name text, country_name text )
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_fare ( flight_id int, fare_id int )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE code_description ( code varchar, description text )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant 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 )
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 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 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 )
### Question ###
on CO any class service from SAN FRANCISCO to PITTSBURGH
### 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 = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'CO'
|
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_35650 ( "Season" real, "Episodes" real, "First air date" text, "Last air date" text, "Timeslot" text, "DVD Release" text )
### Question ###
Which season had its last episode air on March 11, 2001?
### Accurate SQL ###
|
SELECT "Season" FROM table_35650 WHERE "Last air date" = 'march 11, 2001'
|
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 ( opponent VARCHAR, date VARCHAR )
### Question ###
Who was the opponent on September 17?
### Accurate SQL ###
|
SELECT opponent FROM table_name_41 WHERE date = "september 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_69533 ( "School" text, "Location" text, "Mascot" text, "# / County" text, "Year Joined" real, "Year Left" real, "Conference Joined" text )
### Question ###
What is the Mascot of Brook?
### Accurate SQL ###
|
SELECT "Mascot" FROM table_69533 WHERE "Location" = 'brook'
|
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 Investors ( investor_id INTEGER, Investor_details VARCHAR(255) )
TABLE: CREATE TABLE Transactions_Lots ( transaction_id INTEGER, lot_id INTEGER )
TABLE: CREATE TABLE Sales ( sales_transaction_id INTEGER, sales_details VARCHAR(255) )
TABLE: CREATE TABLE Transactions ( transaction_id INTEGER, investor_id INTEGER, transaction_type_code VARCHAR(10), date_of_transaction DATETIME, amount_of_transaction DECIMAL(19,4), share_count VARCHAR(40), other_details VARCHAR(255) )
TABLE: CREATE TABLE Purchases ( purchase_transaction_id INTEGER, purchase_details VARCHAR(255) )
TABLE: CREATE TABLE Ref_Transaction_Types ( transaction_type_code VARCHAR(10), transaction_type_description VARCHAR(80) )
TABLE: CREATE TABLE Lots ( lot_id INTEGER, investor_id INTEGER, lot_details VARCHAR(255) )
### Question ###
Show the average transaction amount for different transaction types with a pie chart.
### Accurate SQL ###
|
SELECT transaction_type_code, AVG(amount_of_transaction) FROM Transactions GROUP BY transaction_type_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_11472 ( "Home team" text, "Home team score" text, "Away team" text, "Away team score" text, "Venue" text, "Crowd" real, "Date" text )
### Question ###
When the Venue was Glenferrie Oval, who is the Away team?
### Accurate SQL ###
|
SELECT "Away team" FROM table_11472 WHERE "Venue" = 'glenferrie oval'
|
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 Bookings ( Booking_ID INTEGER, Customer_ID INTEGER, Workshop_Group_ID VARCHAR(100), Status_Code CHAR(15), Store_ID INTEGER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR(255) )
TABLE: CREATE TABLE Invoices ( Invoice_ID INTEGER, Order_ID INTEGER, payment_method_code CHAR(15), Product_ID INTEGER, Order_Quantity VARCHAR(288), Other_Item_Details VARCHAR(255), Order_Item_ID INTEGER )
TABLE: CREATE TABLE Performers_in_Bookings ( Order_ID INTEGER, Performer_ID INTEGER )
TABLE: CREATE TABLE Clients ( Client_ID INTEGER, Address_ID INTEGER, Customer_Email_Address VARCHAR(255), Customer_Name VARCHAR(255), Customer_Phone VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Customer_Orders ( Order_ID INTEGER, Customer_ID INTEGER, Store_ID INTEGER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR(255) )
TABLE: CREATE TABLE Ref_Payment_Methods ( payment_method_code CHAR(10), payment_method_description VARCHAR(80) )
TABLE: CREATE TABLE Stores ( Store_ID VARCHAR(100), Address_ID INTEGER, Marketing_Region_Code CHAR(15), Store_Name VARCHAR(255), Store_Phone VARCHAR(255), Store_Email_Address VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Services ( Service_ID INTEGER, Service_Type_Code CHAR(15), Workshop_Group_ID INTEGER, Product_Description VARCHAR(255), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), Other_Product_Service_Details VARCHAR(255) )
TABLE: CREATE TABLE Marketing_Regions ( Marketing_Region_Code CHAR(15), Marketing_Region_Name VARCHAR(255), Marketing_Region_Descriptrion VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Invoice_Items ( Invoice_Item_ID INTEGER, Invoice_ID INTEGER, Order_ID INTEGER, Order_Item_ID INTEGER, Product_ID INTEGER, Order_Quantity INTEGER, Other_Item_Details VARCHAR(255) )
TABLE: CREATE TABLE Addresses ( Address_ID VARCHAR(100), Line_1 VARCHAR(255), Line_2 VARCHAR(255), City_Town VARCHAR(255), State_County VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Customers ( Customer_ID VARCHAR(100), Address_ID INTEGER, Customer_Name VARCHAR(255), Customer_Phone VARCHAR(255), Customer_Email_Address VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Products ( Product_ID VARCHAR(100), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), Product_Description VARCHAR(255), Other_Product_Service_Details VARCHAR(255) )
TABLE: CREATE TABLE Bookings_Services ( Order_ID INTEGER, Product_ID INTEGER )
TABLE: CREATE TABLE Ref_Service_Types ( Service_Type_Code CHAR(15), Parent_Service_Type_Code CHAR(15), Service_Type_Description VARCHAR(255) )
TABLE: CREATE TABLE Order_Items ( Order_Item_ID INTEGER, Order_ID INTEGER, Product_ID INTEGER, Order_Quantity VARCHAR(288), Other_Item_Details VARCHAR(255) )
TABLE: CREATE TABLE Performers ( Performer_ID INTEGER, Address_ID INTEGER, Customer_Name VARCHAR(255), Customer_Phone VARCHAR(255), Customer_Email_Address VARCHAR(255), Other_Details VARCHAR(255) )
TABLE: CREATE TABLE Drama_Workshop_Groups ( Workshop_Group_ID INTEGER, Address_ID INTEGER, Currency_Code CHAR(15), Marketing_Region_Code CHAR(15), Store_Name VARCHAR(255), Store_Phone VARCHAR(255), Store_Email_Address VARCHAR(255), Other_Details VARCHAR(255) )
### Question ###
Show all payment method codes and the number of orders for each code Show bar chart, display in ascending by the names.
### Accurate SQL ###
|
SELECT payment_method_code, COUNT(*) FROM Invoices GROUP BY payment_method_code ORDER BY payment_method_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_43848 ( "English" text, "three" text, "four" text, "person" text, "house" text, "coconut" text, "what" text, "fire" text )
### Question ###
What is 'what', when 'person' is 'tawo', when 'three' is 'tuyo', and when 'coconut' is 'niyog'?
### Accurate SQL ###
|
SELECT "what" FROM table_43848 WHERE "person" = 'tawo' AND "three" = 'tuyo' AND "coconut" = 'niyog'
|
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 d_labitems ( row_id number, itemid number, label text )
TABLE: CREATE TABLE d_items ( row_id number, itemid number, label text, linksto 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 diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime 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 labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text )
TABLE: CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time )
TABLE: CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime 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 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_diagnoses ( row_id number, icd9_code text, short_title text, long_title 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 microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text )
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 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 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 )
### Question ###
what was the name of the procedure that patient 90369 received two times until 11/2105.
### Accurate SQL ###
|
SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 90369) AND STRFTIME('%y-%m', procedures_icd.charttime) <= '2105-11' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 = 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 ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant int )
TABLE: CREATE TABLE compartment_class ( compartment varchar, class_type 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 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 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 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 food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code 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 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 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 state ( state_code text, state_name text, country_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 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 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 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 flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: CREATE TABLE code_description ( code varchar, description text )
### Question ###
i live in DENVER and i'd like to make a trip to PITTSBURGH
### 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 = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
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_203_509 ( id number, "year" number, "laetare medalist" text, "position" text )
### Question ###
what are the total number of times soldier is listed as the position on this chart ?
### Accurate SQL ###
|
SELECT COUNT(*) FROM table_203_509 WHERE "position" = 'soldier'
|
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_30 (record_set VARCHAR, actor VARCHAR, year VARCHAR)
### Question ###
What record was set by walter brennan before 1941?
### Accurate SQL ###
|
SELECT record_set FROM table_name_30 WHERE actor = "walter brennan" AND year < 1941
|
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 patients ( row_id number, subject_id number, gender text, dob time, dod time )
TABLE: CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title 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 chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom 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 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 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 labevents ( row_id number, subject_id number, hadm_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 outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number )
TABLE: CREATE TABLE d_labitems ( row_id number, itemid number, label text )
TABLE: CREATE TABLE d_items ( row_id number, itemid number, label text, linksto 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 inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount 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 d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text )
### Question ###
so whats the last weight of patient 7112 in 12/this year?
### 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 = 7112)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', chartevents.charttime) = '12' ORDER BY chartevents.charttime 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_train_217 ( "id" int, "gender" string, "c_peptide_level" float, "hemoglobin_a1c_hba1c" float, "hematocrit_hct" float, "insulin_requirement" float, "serum_creatinine" float, "NOUSE" float )
### Question ###
hematocrit < 36 % ( female ) ; < 38 % ( male )
### Accurate SQL ###
|
SELECT * FROM table_train_217 WHERE (hematocrit_hct < 36 AND gender = 'female') OR (hematocrit_hct < 38 AND gender = 'male')
|
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_204_451 ( id number, "component" text, "model 01" text, "model 01+" text, "model 02" text, "model e2" text, "model 2+ (pre-production)" text, "model 03 (china copy)" text )
### Question ###
what component comes after bluetooth ?
### Accurate SQL ###
|
SELECT "component" FROM table_204_451 WHERE id = (SELECT id FROM table_204_451 WHERE "component" = 'bluetooth') + 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_30 ( number_of_clubs INTEGER, season VARCHAR, total_wins VARCHAR )
### Question ###
What is the sum of the number of clubs in seasons before 1992 with more than 3 total wins?
### Accurate SQL ###
|
SELECT SUM(number_of_clubs) FROM table_name_30 WHERE season < 1992 AND total_wins > 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 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 treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time )
TABLE: CREATE TABLE microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time )
TABLE: CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time )
TABLE: CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number )
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 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 diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
TABLE: CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
### Question ###
count the number of patients that have received lactulose until 2 years ago.
### Accurate SQL ###
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'lactulose' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-2 year'))
|
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 course_offering ( offering_id int, course_id int, semester int, section_number int, start_time time, end_time time, monday varchar, tuesday varchar, wednesday varchar, thursday varchar, friday varchar, saturday varchar, sunday varchar, has_final_project varchar, has_final_exam varchar, textbook varchar, class_address varchar, allow_audit varchar )
TABLE: CREATE TABLE gsi ( course_offering_id int, student_id int )
TABLE: CREATE TABLE semester ( semester_id int, semester varchar, year int )
TABLE: CREATE TABLE course_prerequisite ( pre_course_id int, course_id int )
TABLE: CREATE TABLE ta ( campus_job_id int, student_id int, location varchar )
TABLE: CREATE TABLE instructor ( instructor_id int, name varchar, uniqname varchar )
TABLE: CREATE TABLE offering_instructor ( offering_instructor_id int, offering_id int, instructor_id int )
TABLE: CREATE TABLE program_requirement ( program_id int, category varchar, min_credit int, additional_req varchar )
TABLE: CREATE TABLE requirement ( requirement_id int, requirement varchar, college varchar )
TABLE: CREATE TABLE course ( course_id int, name varchar, department varchar, number varchar, credits varchar, advisory_requirement varchar, enforced_requirement varchar, description varchar, num_semesters int, num_enrolled int, has_discussion varchar, has_lab varchar, has_projects varchar, has_exams varchar, num_reviews int, clarity_score int, easiness_score int, helpfulness_score int )
TABLE: CREATE TABLE comment_instructor ( instructor_id int, student_id int, score int, comment_text varchar )
TABLE: CREATE TABLE jobs ( job_id int, job_title varchar, description varchar, requirement varchar, city varchar, state varchar, country varchar, zip int )
TABLE: CREATE TABLE program ( program_id int, name varchar, college varchar, introduction varchar )
TABLE: CREATE TABLE student_record ( student_id int, course_id int, semester int, grade varchar, how varchar, transfer_source varchar, earn_credit varchar, repeat_term varchar, test_id varchar )
TABLE: CREATE TABLE program_course ( program_id int, course_id int, workload int, category varchar )
TABLE: CREATE TABLE student ( student_id int, lastname varchar, firstname varchar, program_id int, declare_major varchar, total_credit int, total_gpa float, entered_as varchar, admit_term int, predicted_graduation_semester int, degree varchar, minor varchar, internship varchar )
TABLE: CREATE TABLE course_tags_count ( course_id int, clear_grading int, pop_quiz int, group_projects int, inspirational int, long_lectures int, extra_credit int, few_tests int, good_feedback int, tough_tests int, heavy_papers int, cares_for_students int, heavy_assignments int, respected int, participation int, heavy_reading int, tough_grader int, hilarious int, would_take_again int, good_lecture int, no_skip int )
TABLE: CREATE TABLE area ( course_id int, area varchar )
### Question ###
This Spring , what upper-level RCNSCI classes will be offered ?
### Accurate SQL ###
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND course.department = 'RCNSCI' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Spring' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
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 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 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 date_day ( month_number int, day_number int, year int, day_name varchar )
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 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 airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant 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 ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
TABLE: CREATE TABLE month ( month_number int, month_name 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 time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE code_description ( code varchar, description 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 airline ( airline_code varchar, airline_name text, note text )
TABLE: CREATE TABLE food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt 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 )
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 flight_fare ( flight_id int, fare_id int )
### Question ###
flight information from SAN FRANCISCO to PITTSBURGH
### 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 = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
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_49321 ( "Season" text, "Series" text, "Team" text, "Races" text, "Wins" text, "Poles" text, "F/Laps" text, "Podiums" text, "Points" text, "Position" text )
### Question ###
What is the number of races associated with Team ASM and 0 poles?
### Accurate SQL ###
|
SELECT "Races" FROM table_49321 WHERE "Poles" = '0' AND "Team" = 'asm'
|
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_30423 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "High assists" text, "Location Attendance" text, "Record" text )
### Question ###
What is every score when the date is January 2?
### Accurate SQL ###
|
SELECT "Score" FROM table_30423 WHERE "Date" = 'January 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 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 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 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 )
### Question ###
what is the number of patients whose admission type is emergency and drug name is cinacalcet?
### Accurate SQL ###
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.drug = "Cinacalcet"
|
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_30 ( word_form VARCHAR, other VARCHAR )
### Question ###
What can you say is the word from of sam sep?
### Accurate SQL ###
|
SELECT word_form FROM table_name_30 WHERE other = "sam sep"
|
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 microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text )
TABLE: CREATE TABLE d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE d_labitems ( row_id number, itemid number, label text )
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 diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime 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 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 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 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 chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom text )
TABLE: CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time )
TABLE: CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime 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_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE d_items ( row_id number, itemid number, label text, linksto text )
TABLE: CREATE TABLE inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number )
### Question ###
when was the last time patient 90663 had a foley output today.
### Accurate SQL ###
|
SELECT outputevents.charttime FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 90663)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'foley' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY outputevents.charttime 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_name_7 ( division VARCHAR, team VARCHAR, apps VARCHAR )
### Question ###
What is the total number of Division(s), when Team is Chongqing Lifan, and when Apps is greater than 9?
### Accurate SQL ###
|
SELECT COUNT(division) FROM table_name_7 WHERE team = "chongqing lifan" AND apps > 9
|
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 pilot ( Pilot_Id int(11), Name varchar(50), Age int(11) )
TABLE: CREATE TABLE aircraft ( Aircraft_ID int(11), Aircraft varchar(50), Description varchar(50), Max_Gross_Weight varchar(50), Total_disk_area varchar(50), Max_disk_Loading varchar(50) )
TABLE: CREATE TABLE airport_aircraft ( ID int, Airport_ID int, Aircraft_ID int )
TABLE: CREATE TABLE airport ( Airport_ID int, Airport_Name text, Total_Passengers real, %_Change_2007 text, International_Passengers real, Domestic_Passengers real, Transit_Passengers real, Aircraft_Movements real, Freight_Metric_Tonnes real )
TABLE: CREATE TABLE match ( Round real, Location text, Country text, Date text, Fastest_Qualifying text, Winning_Pilot text, Winning_Aircraft text )
### Question ###
Please list the number of each winning aircraft in a bar chart.
### Accurate SQL ###
|
SELECT Aircraft, COUNT(Aircraft) FROM aircraft AS T1 JOIN match AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY Aircraft
|
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 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) )
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 countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) )
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 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 regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )
### Question ###
For employees with first names that end with the letter m, give me a bar chart to show their total salary, and could you sort by the total number in ascending please?
### Accurate SQL ###
|
SELECT FIRST_NAME, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%m' GROUP BY FIRST_NAME ORDER BY SUM(SALARY)
|
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 dorm_amenity ( amenid number, amenity_name text )
TABLE: CREATE TABLE dorm ( dormid number, dorm_name text, student_capacity number, gender text )
TABLE: CREATE TABLE lives_in ( stuid number, dormid number, room_number number )
TABLE: CREATE TABLE student ( stuid number, lname text, fname text, age number, sex text, major number, advisor number, city_code text )
TABLE: CREATE TABLE has_amenity ( dormid number, amenid number )
### Question ###
What is the average age and how many male students are there in each city?
### Accurate SQL ###
|
SELECT COUNT(*), AVG(age), city_code FROM student WHERE sex = 'M' GROUP BY city_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_89 (verb_meaning VARCHAR, part_3 VARCHAR)
### Question ###
What is the verb meaning for Gaben in part 3?
### Accurate SQL ###
|
SELECT verb_meaning FROM table_name_89 WHERE part_3 = "gaben"
|
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_10869 ( "Year" real, "Entrant" text, "Chassis" text, "Engine" text, "Points" real )
### Question ###
How many points for the simtek s951 chassis?
### Accurate SQL ###
|
SELECT COUNT("Points") FROM table_10869 WHERE "Chassis" = 'simtek s951'
|
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_7 (opponent VARCHAR, location_attendance VARCHAR, record VARCHAR)
### Question ###
Who was the opponent when they played at Delta Center with a record of 27-13?
### Accurate SQL ###
|
SELECT opponent FROM table_name_7 WHERE location_attendance = "delta center" AND record = "27-13"
|
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_204_805 ( id number, "name" text, "club" text, "date of departure" text, "replacement" text, "date of appointment" text )
### Question ###
next manager of ttm samut sakhon after prajuk viengsong
### Accurate SQL ###
|
SELECT "name" FROM table_204_805 WHERE "club" = 'ttm samut sakhon' AND "date of departure" > (SELECT "date of departure" FROM table_204_805 WHERE "name" = 'prajuk viengsong') ORDER BY "date of departure" 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 vitalperiodic ( vitalperiodicid number, patientunitstayid number, temperature number, sao2 number, heartrate number, respiration number, systemicsystolic number, systemicdiastolic number, systemicmean number, observationtime time )
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 microlab ( microlabid number, patientunitstayid number, culturesite text, organism text, culturetakentime time )
TABLE: CREATE TABLE treatment ( treatmentid number, patientunitstayid number, treatmentname text, treatmenttime time )
TABLE: CREATE TABLE cost ( costid number, uniquepid text, patienthealthsystemstayid number, eventtype text, eventid number, chargetime time, cost number )
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 diagnosis ( diagnosisid number, patientunitstayid number, diagnosisname text, diagnosistime time, icd9code text )
TABLE: CREATE TABLE intakeoutput ( intakeoutputid number, patientunitstayid number, cellpath text, celllabel text, cellvaluenumeric number, intakeoutputtime time )
TABLE: CREATE TABLE lab ( labid number, patientunitstayid number, labname text, labresult number, labresulttime time )
### Question ###
among patients who were diagnosed with congestive heart failure since 3 years ago, what are the top five most commonly prescribed drugs that followed afterwards in the same month to the patients aged 60 or above?
### Accurate SQL ###
|
SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'congestive heart failure' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.age >= 60 AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.drugstarttime, 'start of month') GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 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_42517 ( "Year" text, "Title" text, "Genre" text, "Label" text, "Result" text )
### Question ###
Which title's genre was jazz when it was nominated in 1996?
### Accurate SQL ###
|
SELECT "Title" FROM table_42517 WHERE "Genre" = 'jazz' AND "Result" = 'nominated' AND "Year" = '1996'
|
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_42 ( points INTEGER, opponent VARCHAR, november VARCHAR )
### Question ###
Which Points have an Opponent of vancouver canucks, and a November smaller than 11?
### Accurate SQL ###
|
SELECT AVG(points) FROM table_name_42 WHERE opponent = "vancouver canucks" AND november < 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 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) )
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 countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) )
TABLE: CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )
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 jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) )
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) )
### Question ###
For those employees who was hired before 2002-06-21, give me the comparison about the amount of job_id over the job_id , and group by attribute job_id, and list from low to high by the x-axis.
### Accurate SQL ###
|
SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY 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_8 ( points INTEGER, place INTEGER )
### Question ###
Which places have points larger than 10?
### Accurate SQL ###
|
SELECT MIN(points) FROM table_name_8 WHERE 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 Customer_Orders ( order_id INTEGER, customer_id INTEGER, order_status_code VARCHAR(15), shipping_method_code VARCHAR(15), order_placed_datetime DATETIME, order_delivered_datetime DATETIME, order_shipping_charges VARCHAR(255) )
TABLE: CREATE TABLE Customers ( customer_id INTEGER, payment_method VARCHAR(15), customer_name VARCHAR(80), customer_phone VARCHAR(80), customer_email VARCHAR(80), customer_address VARCHAR(255), customer_login VARCHAR(80), customer_password VARCHAR(10) )
TABLE: CREATE TABLE Order_Items ( item_id INTEGER, order_item_status_code VARCHAR(15), order_id INTEGER, product_id INTEGER, item_status_code VARCHAR(15), item_delivered_datetime DATETIME, item_order_quantity VARCHAR(80) )
TABLE: CREATE TABLE Products ( product_id INTEGER, product_category VARCHAR(15), product_name VARCHAR(80) )
TABLE: CREATE TABLE Mailshot_Campaigns ( mailshot_id INTEGER, product_category VARCHAR(15), mailshot_name VARCHAR(80), mailshot_start_date DATETIME, mailshot_end_date DATETIME )
TABLE: CREATE TABLE Customer_Addresses ( customer_id INTEGER, premise_id INTEGER, date_address_from DATETIME, address_type_code VARCHAR(15), date_address_to DATETIME )
TABLE: CREATE TABLE Premises ( premise_id INTEGER, premises_type VARCHAR(15), premise_details VARCHAR(255) )
TABLE: CREATE TABLE Mailshot_Customers ( mailshot_id INTEGER, customer_id INTEGER, outcome_code VARCHAR(15), mailshot_customer_date DATETIME )
### Question ###
Show how many customer addresses in each address type code with a bar chart.
### Accurate SQL ###
|
SELECT address_type_code, COUNT(address_type_code) FROM Customer_Addresses AS T1 JOIN Premises AS T2 ON T1.premise_id = T2.premise_id GROUP BY address_type_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_202_72 ( id number, "year" number, "single" text, "chart" text, "position" number )
### Question ###
which is the most popular single on the album ?
### Accurate SQL ###
|
SELECT "single" FROM table_202_72 ORDER BY "position" 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_203_622 ( id number, "date" text, "team" text, "name" text, "position" text, "years in nba" number, "notes" text )
### Question ###
who spent the most years in the nba ?
### Accurate SQL ###
|
SELECT "name" FROM table_203_622 ORDER BY "years in nba" 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_name_35 (points INTEGER, engine VARCHAR)
### Question ###
What is the lowest amount of points for a Ford Cosworth DFR (Mader) 3.5 V8 engine?
### Accurate SQL ###
|
SELECT MIN(points) FROM table_name_35 WHERE engine = "ford cosworth dfr (mader) 3.5 v8"
|
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_1558077_8 (mission_name VARCHAR, lunar_blastoff_date VARCHAR)
### Question ###
Name the mission name for 21 november 1969
### Accurate SQL ###
|
SELECT mission_name FROM table_1558077_8 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 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 lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid 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 )
### Question ###
what is diagnoses icd9 code and procedure icd9 code of subject id 2110?
### Accurate SQL ###
|
SELECT diagnoses.icd9_code, procedures.icd9_code FROM diagnoses INNER JOIN procedures ON diagnoses.hadm_id = procedures.hadm_id WHERE diagnoses.subject_id = "2110"
|
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_207795_1 ( type_of_work VARCHAR, russian_title VARCHAR )
### Question ###
How many types of work is ?
### Accurate SQL ###
|
SELECT COUNT(type_of_work) FROM table_207795_1 WHERE russian_title = "Хромая судьба"
|
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_25316812_1 (rate_limit__p_ VARCHAR, budget_plans__£m_ VARCHAR)
### Question ###
What is the rate limit when budget plans (£m) is limit agreed?
### Accurate SQL ###
|
SELECT rate_limit__p_ FROM table_25316812_1 WHERE budget_plans__£m_ = "limit agreed"
|
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 ( venue VARCHAR, opponent VARCHAR, result VARCHAR )
### Question ###
Which venue had an opponent of Sunderland and a result of a 1-1 draw?
### Accurate SQL ###
|
SELECT venue FROM table_name_40 WHERE opponent = "sunderland" AND result = "1-1"
|
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_66496 ( "Position" text, "Country" text, "Floor" real, "Pommel Horse" real, "Rings" real, "Vault" real, "Parallel Bars" real, "Horizontal Bar" real, "Team Total" real )
### Question ###
Name the highest Parallel Bars of the united states with a Vault smaller than 63.85?
### Accurate SQL ###
|
SELECT MAX("Parallel Bars") FROM table_66496 WHERE "Country" = 'united states' AND "Vault" < '63.85'
|
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_2789 ( "Date" text, "Location" text, "Opponent" text, "Cyclones Points" real, "Opp. Points" real, "Record" text )
### Question ###
When did the team play against Niagara?
### Accurate SQL ###
|
SELECT "Date" FROM table_2789 WHERE "Opponent" = 'Niagara'
|
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_9 ( finish INTEGER, year VARCHAR )
### Question ###
Name the most finish for 2006
### Accurate SQL ###
|
SELECT MAX(finish) FROM table_name_9 WHERE year = 2006
|
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 city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_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 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 time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
TABLE: CREATE TABLE days ( days_code varchar, day_name varchar )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE airline ( airline_code varchar, airline_name text, note text )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE airport_service ( city_code varchar, airport_code varchar, miles_distant int, direction varchar, minutes_distant 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 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 compartment_class ( compartment varchar, class_type varchar )
TABLE: CREATE TABLE date_day ( month_number int, day_number int, year int, day_name varchar )
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 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 flight_leg ( flight_id int, leg_number int, leg_flight int )
TABLE: CREATE TABLE code_description ( code varchar, description 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_fare ( flight_id int, fare_id 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 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 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 ###
what does flight code US mean
### Accurate SQL ###
|
SELECT DISTINCT airline_code FROM airline WHERE airline_code = 'US'
|
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_14 ( venue VARCHAR, away_team VARCHAR )
### Question ###
When the Away team was essendon, what was the Venue they played at?
### Accurate SQL ###
|
SELECT venue FROM table_name_14 WHERE away_team = "essendon"
|
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_1893815_1 ( chinese__traditional_ VARCHAR, chinese__simplified_ VARCHAR )
### Question ###
Name the chinese traditional for
### Accurate SQL ###
|
SELECT chinese__traditional_ FROM table_1893815_1 WHERE chinese__simplified_ = "美丽人生"
|
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 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 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) )
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 departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) )
TABLE: CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )
TABLE: CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) )
### Question ###
For those employees who did not have any job in the past, find hire_date and the sum of manager_id bin hire_date by weekday, and visualize them by a bar chart.
### Accurate SQL ###
|
SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history)
|
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_69022 ( "Game" real, "Date" text, "Location" text, "Time" text, "Attendance" real )
### Question ###
Name the least game for october 10 at shibe park
### Accurate SQL ###
|
SELECT MIN("Game") FROM table_69022 WHERE "Location" = 'shibe park' AND "Date" = 'october 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_name_83 (label VARCHAR, date VARCHAR)
### Question ###
What label released a record on December 19, 2001?
### Accurate SQL ###
|
SELECT label FROM table_name_83 WHERE date = "december 19, 2001"
|
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 Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE PostTypes ( 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 TagSynonyms ( Id number, SourceTagName text, TargetTagName text, CreationDate time, OwnerUserId number, AutoRenameCount number, LastAutoRename time, Score number, ApprovedByUserId number, ApprovalDate time )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId 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 SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange 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 FlagTypes ( 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 VoteTypes ( Id number, Name text )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount 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 Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
TABLE: CREATE TABLE ReviewTaskResultTypes ( 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 ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
TABLE: CREATE TABLE ReviewTaskTypes ( Id number, Name text, Description text )
TABLE: CREATE TABLE PostFeedback ( Id number, PostId number, IsAnonymous boolean, VoteTypeId number, CreationDate 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 PendingFlags ( Id number, FlagTypeId number, PostId number, CreationDate time, CloseReasonTypeId number, CloseAsOffTopicReasonTypeId number, DuplicateOfQuestionId number, BelongsOnBaseHostAddress text )
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 ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE PostNoticeTypes ( Id number, ClassId number, Name text, Body text, IsHidden boolean, Predefined boolean, PostNoticeDurationId number )
TABLE: CREATE TABLE ReviewTaskStates ( Id number, Name text, Description text )
### Question ###
select id, score from posts order by score desc;.
### Accurate SQL ###
|
SELECT Id, Score FROM Posts ORDER BY Score 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_23916539_3 ( record VARCHAR, location VARCHAR )
### Question ###
What is the record if the location is Clarke Stadium?
### Accurate SQL ###
|
SELECT record FROM table_23916539_3 WHERE location = "Clarke Stadium"
|
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_10015132_14 ( player VARCHAR, years_in_toronto VARCHAR )
### Question ###
Who played in the Toronto Raptors from 1995-96?
### Accurate SQL ###
|
SELECT player FROM table_10015132_14 WHERE years_in_toronto = "1995-96"
|
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_67 (amerindian__both_hispanic_and_non_hispanic_ INTEGER, black__both_hispanic_and_non_hispanic_ VARCHAR, white__both_hispanic_and_non_hispanic_ VARCHAR)
### Question ###
What is the highest Amerindian (Hispanic/Non-Hispanic) value having a Black (Hispanic/Non-Hispanic) of 15.7 and White (Hispanic/Non-Hispanic) over 69.5?
### Accurate SQL ###
|
SELECT MAX(amerindian__both_hispanic_and_non_hispanic_) FROM table_name_67 WHERE black__both_hispanic_and_non_hispanic_ = 15.7 AND white__both_hispanic_and_non_hispanic_ > 69.5
|
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 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 food_service ( meal_code text, meal_number int, compartment text, meal_description varchar )
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 airline ( airline_code varchar, airline_name text, note text )
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 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 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 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 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 dual_carrier ( main_airline varchar, low_flight_number int, high_flight_number int, dual_airline varchar, service_name text )
TABLE: CREATE TABLE city ( city_code varchar, city_name varchar, state_code varchar, country_name varchar, time_zone_code varchar )
TABLE: CREATE TABLE month ( month_number int, month_name text )
TABLE: CREATE TABLE time_interval ( period text, begin_time int, end_time int )
TABLE: CREATE TABLE time_zone ( time_zone_code text, time_zone_name text, hours_from_gmt int )
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 days ( days_code varchar, day_name varchar )
TABLE: CREATE TABLE equipment_sequence ( aircraft_code_sequence varchar, aircraft_code varchar )
TABLE: CREATE TABLE ground_service ( city_code text, airport_code text, transport_type text, ground_fare int )
TABLE: CREATE TABLE flight_fare ( flight_id int, fare_id int )
### Question ###
show me the one way fares from SAN DIEGO to MIAMI nonstop
### Accurate SQL ###
|
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN DIEGO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MIAMI' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.stops = 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_62075 ( "Dam constructed" text, "Year completed" real, "Impounded body of water" text, "Reservoir capacity" text, "Dam wall height" text, "Dam type" text )
### Question ###
Which dam type was completed in 1961?
### Accurate SQL ###
|
SELECT "Dam type" FROM table_62075 WHERE "Year completed" = '1961'
|
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_76261 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Record" text, "Attendance" text )
### Question ###
Which opponent was played in Week 6?
### Accurate SQL ###
|
SELECT "Opponent" FROM table_76261 WHERE "Week" = '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_20 (opponent VARCHAR, date VARCHAR)
### Question ###
Which opponent has a Date of april 14?
### Accurate SQL ###
|
SELECT opponent FROM table_name_20 WHERE date = "april 14"
|
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 (pct VARCHAR, lost VARCHAR, seasons VARCHAR)
### Question ###
How many percentages have 20 losses and more than 1 season?
### Accurate SQL ###
|
SELECT COUNT(pct) FROM table_name_17 WHERE lost = 20 AND seasons > 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_48401 ( "Driver" text, "Points" real, "Races" real, "Wins" text, "Second" text, "Third" text )
### Question ###
How many wins did the driver with 1 second and more than 12 races have?
### Accurate SQL ###
|
SELECT "Wins" FROM table_48401 WHERE "Second" = '1' AND "Races" > '12'
|
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 d_labitems ( row_id number, itemid number, label text )
TABLE: CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time )
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 diagnoses_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time )
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 d_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time )
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 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 outputevents ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, value number )
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 labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text )
TABLE: CREATE TABLE d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title 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 cost ( row_id number, subject_id number, hadm_id number, event_type text, event_id number, chargetime time, cost number )
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 )
### Question ###
when was patient 65582 tested for magnesium for the last time this month?
### Accurate SQL ###
|
SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'magnesium') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 65582) AND DATETIME(labevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY labevents.charttime 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_203_530 ( id number, "country" text, "gdp (usd bln, 2012)" number, "gdp (usd bln, 2017)" number, "gdp (usd ppp bln, 2012)" number, "gdp (usd ppp bln, 2017)" number, "per capita (usd, 2012)" number, "per capita (usd, 2017)" number, "per capita (usd ppp, 2012)" number, "per capita (usd ppp, 2017)" number )
### Question ###
what is the sum of the gdp -lrb- usd ppp bin , 2012 -rrb- between niger and sierra ?
### Accurate SQL ###
|
SELECT SUM("gdp (usd ppp bln, 2012)") FROM table_203_530 WHERE "country" IN ('niger', 'sierra leone')
|
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_48554 ( "Player" text, "No.(s)" real, "Height in Ft." text, "Position" text, "Years with Spurs" text )
### Question ###
WHAT POSITION HAD SPURS IN 2009-2012?
### Accurate SQL ###
|
SELECT "Position" FROM table_48554 WHERE "Years with Spurs" = '2009-2012'
|
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_62585 ( "Player" text, "Country" text, "Year(s) won" text, "Total" real, "To par" real )
### Question ###
Which Year(s) won has a Total larger than 148, and a To par smaller than 17, and a Country of new zealand?
### Accurate SQL ###
|
SELECT "Year(s) won" FROM table_62585 WHERE "Total" > '148' AND "To par" < '17' AND "Country" = 'new zealand'
|
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 chartevents ( row_id number, subject_id number, hadm_id number, icustay_id number, itemid number, charttime time, valuenum number, valueuom 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 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 inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number )
TABLE: CREATE TABLE diagnoses_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 microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name text )
TABLE: CREATE TABLE d_labitems ( row_id number, itemid number, label 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 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 patients ( row_id number, subject_id number, gender text, dob time, dod time )
TABLE: CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime 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 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 labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text )
### Question ###
has there been a prescription for albumin 5% (25g / 500ml), sodium polystyrene sulfonate, or docusate sodium for patient 28443 this year?
### Accurate SQL ###
|
SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28443) AND prescriptions.drug IN ('albumin 5% (25g / 500ml)', 'sodium polystyrene sulfonate', 'docusate sodium') AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')
|
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_1253 ( "Year" real, "Events played" real, "Cuts made" real, "Wins" real, "2nds" real, "Top 10s" real, "Best finish" text, "Earnings ($)" real, "Rank" text, "Scoring average" text, "Scoring rank" text )
### Question ###
What is the best finish where the scoring rank is 97?
### Accurate SQL ###
|
SELECT "Best finish" FROM table_1253 WHERE "Scoring rank" = '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_7 (rank VARCHAR, studio VARCHAR, director VARCHAR)
### Question ###
WHAT IS THE RANK OF UNIVERSAL, AND DIRECTOR JOHN HUGHES?
### Accurate SQL ###
|
SELECT rank FROM table_name_7 WHERE studio = "universal" AND director = "john hughes"
|
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 (score VARCHAR, place VARCHAR, player VARCHAR)
### Question ###
What's the score of Jeff Maggert in T2 place?
### Accurate SQL ###
|
SELECT score FROM table_name_36 WHERE place = "t2" AND player = "jeff maggert"
|
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_69 (ceremony VARCHAR, nominee VARCHAR)
### Question ###
In which ceremony was Jayant nominated for an award?
### Accurate SQL ###
|
SELECT ceremony FROM table_name_69 WHERE nominee = "jayant"
|
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_67177 ( "Type" text, "Fleet numbers" text, "Quantity made" text, "Manufacturer" text, "Date made" text )
### Question ###
When was the railmotor made?
### Accurate SQL ###
|
SELECT "Date made" FROM table_67177 WHERE "Type" = 'railmotor'
|
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_77 (director VARCHAR, original_title VARCHAR)
### Question ###
Who was the director of the king's speech?
### Accurate SQL ###
|
SELECT director FROM table_name_77 WHERE original_title = "the king's speech"
|
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_23214833_1 ( team_captain VARCHAR, club VARCHAR )
### Question ###
How many different team captains does the club Sliven 2000 have?
### Accurate SQL ###
|
SELECT COUNT(team_captain) FROM table_23214833_1 WHERE club = "Sliven 2000"
|
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 (opening VARCHAR, result VARCHAR, white VARCHAR, moves VARCHAR)
### Question ###
What's the opening when white is Anand with fewer than 61 moves for a result of ½–½?
### Accurate SQL ###
|
SELECT opening FROM table_name_83 WHERE white = "anand" AND moves < 61 AND result = "½–½"
|
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 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 )
TABLE: CREATE TABLE university ( School_ID int, School text, Location text, Founded real, Affiliation text, Enrollment real, Nickname text, Primary_conference text )
### Question ###
Find All_Games and School_ID , and visualize them by a bar chart, could you list by the bars in desc?
### Accurate SQL ###
|
SELECT All_Games, School_ID FROM basketball_match ORDER BY All_Games 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_50281 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )
### Question ###
Phil Mickelson has what To par?
### Accurate SQL ###
|
SELECT "To par" FROM table_50281 WHERE "Player" = 'phil mickelson'
|
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_62 ( score VARCHAR, visitor VARCHAR )
### Question ###
Which score has a visitor of New York?
### Accurate SQL ###
|
SELECT score FROM table_name_62 WHERE visitor = "new york"
|
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_40924 ( "From" real, "Goal" text, "Round 1" text, "Round 2" text, "Round 3" text, "Round 4" text, "Round 5" text, "Round 6+" text )
### Question ###
What is Round 5 when Round 4 is Triple, Round 3 is Double and Round 6+ is Triple?
### Accurate SQL ###
|
SELECT "Round 5" FROM table_40924 WHERE "Round 4" = 'triple' AND "Round 3" = 'double' AND "Round 6+" = 'triple'
|
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_22171978_1 (athletic_nickname VARCHAR, location VARCHAR)
### Question ###
For the location of quezon city , metro manila what is the athletic nickname?
### Accurate SQL ###
|
SELECT athletic_nickname FROM table_22171978_1 WHERE location = "Quezon City , Metro Manila"
|
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 procedures ( 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 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 )
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 )
### Question ###
how many patients were diagnosed with bacterial pneumonia nos and the drug type is main?
### 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.short_title = "Bacterial pneumonia NOS" AND prescriptions.drug_type = "MAIN"
|
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_14 ( round VARCHAR, score VARCHAR )
### Question ###
Score of 33-22 had what round?
### Accurate SQL ###
|
SELECT round FROM table_name_14 WHERE score = "33-22"
|
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 table_27723228_7 (high_assists VARCHAR, score VARCHAR)
### Question ###
Name the high assists for w 107–99 (ot)
### Accurate SQL ###
|
SELECT high_assists FROM table_27723228_7 WHERE score = "W 107–99 (OT)"
|
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 ReviewRejectionReasons ( Id number, Name text, Description text, PostTypeId number )
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 VoteTypes ( Id number, Name 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 PostTags ( PostId number, TagId number )
TABLE: CREATE TABLE FlagTypes ( Id number, Name text, Description 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 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 PostTypes ( Id number, Name text )
TABLE: CREATE TABLE ReviewTaskResults ( Id number, ReviewTaskId number, ReviewTaskResultTypeId number, CreationDate time, RejectionReasonId number, Comment text )
TABLE: CREATE TABLE Votes ( Id number, PostId number, VoteTypeId number, UserId number, CreationDate time, BountyAmount number )
TABLE: CREATE TABLE PostLinks ( Id number, CreationDate time, PostId number, RelatedPostId number, LinkTypeId 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 CloseReasonTypes ( Id number, Name text, Description 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 PostHistory ( Id number, PostHistoryTypeId number, PostId number, RevisionGUID other, CreationDate time, UserId number, UserDisplayName text, Comment text, Text text, ContentLicense text )
TABLE: CREATE TABLE SuggestedEditVotes ( Id number, SuggestedEditId number, UserId number, VoteTypeId number, CreationDate time, TargetUserId number, TargetRepChange number )
TABLE: CREATE TABLE Badges ( Id number, UserId number, Name text, Date time, Class number, TagBased boolean )
TABLE: CREATE TABLE PostHistoryTypes ( 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 Comments ( Id number, PostId number, Score number, Text text, CreationDate time, UserDisplayName text, UserId number, ContentLicense text )
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 ReviewTaskResultTypes ( 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 ReviewTaskStates ( Id number, Name text, Description text )
### Question ###
Top 50 users from New Zealand.
### Accurate SQL ###
|
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation, Location FROM Users WHERE LOWER(Location) LIKE '%zealand' ORDER BY Reputation DESC LIMIT 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 table_name_82 (rank INTEGER, u_17_goals VARCHAR, player VARCHAR)
### Question ###
What is the highest Rank, when U-17 Goals is "7", and when Player is "Cesc Fàbregas"?
### Accurate SQL ###
|
SELECT MAX(rank) FROM table_name_82 WHERE u_17_goals = 7 AND player = "cesc fàbregas"
|
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 d_items ( row_id number, itemid number, label text, linksto 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 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 inputevents_cv ( row_id number, subject_id number, hadm_id number, icustay_id number, charttime time, itemid number, amount number )
TABLE: CREATE TABLE d_labitems ( row_id number, itemid number, label text )
TABLE: CREATE TABLE patients ( row_id number, subject_id number, gender text, dob time, dod time )
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_icd_procedures ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE labevents ( row_id number, subject_id number, hadm_id number, itemid number, charttime time, valuenum number, valueuom text )
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 microbiologyevents ( row_id number, subject_id number, hadm_id number, charttime time, spec_type_desc text, org_name 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 d_icd_diagnoses ( row_id number, icd9_code text, short_title text, long_title text )
TABLE: CREATE TABLE procedures_icd ( row_id number, subject_id number, hadm_id number, icd9_code text, charttime time )
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 )
### Question ###
calculate the total of patient 594's input amounts since 01/11/2104.
### Accurate SQL ###
|
SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 594)) AND STRFTIME('%y-%m-%d', inputevents_cv.charttime) >= '2104-01-11'
|
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_15247 ( "Goal" real, "Date" text, "Venue" text, "Score" text, "Result" text, "Competition" text )
### Question ###
What was the final score in a 2002 fifa world cup qualification that was less than 10?
### Accurate SQL ###
|
SELECT "Result" FROM table_15247 WHERE "Competition" = '2002 fifa world cup qualification' AND "Goal" < '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_17118657_8 ( high_assists VARCHAR, score VARCHAR )
### Question ###
How many high assists are listed for the game with a score of 68-60?
### Accurate SQL ###
|
SELECT COUNT(high_assists) FROM table_17118657_8 WHERE score = "68-60"
|
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_146 ( "id" int, "lymphocyte_count" int, "c_peptide_level" float, "vitamin_d_deficiency" bool, "diabetic" string, "vitamin_d" int, "NOUSE" float )
### Question ###
vitamin d deficiency ( defined as less than 20 ng / ml )
### Accurate SQL ###
|
SELECT * FROM table_train_146 WHERE vitamin_d_deficiency = 1 OR vitamin_d <= 20
|
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_26282750_1 (participants_recipients VARCHAR, category VARCHAR)
### Question ###
Who was the participant or recipient for the Best Female Actor?
### Accurate SQL ###
|
SELECT participants_recipients FROM table_26282750_1 WHERE category = "Best Female Actor"
|
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 enroll ( class_code text, stu_num number, enroll_grade text )
TABLE: CREATE TABLE class ( class_code text, crs_code text, class_section text, class_time text, class_room text, prof_num number )
TABLE: CREATE TABLE department ( dept_code text, dept_name text, school_code text, emp_num number, dept_address text, dept_extension text )
TABLE: CREATE TABLE professor ( emp_num number, dept_code text, prof_office text, prof_extension text, prof_high_degree text )
TABLE: CREATE TABLE student ( stu_num number, stu_lname text, stu_fname text, stu_init text, stu_dob time, stu_hrs number, stu_class text, stu_gpa number, stu_transfer number, dept_code text, stu_phone text, prof_num number )
TABLE: CREATE TABLE course ( crs_code text, dept_code text, crs_description text, crs_credit number )
TABLE: CREATE TABLE employee ( emp_num number, emp_lname text, emp_fname text, emp_initial text, emp_jobcode text, emp_hiredate time, emp_dob time )
### Question ###
What are the first names of student who only took one course?
### Accurate SQL ###
|
SELECT T1.stu_fname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num GROUP BY T2.stu_num HAVING COUNT(*) = 1
|
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