QIAN-ME/bird_schema_data huggingface dataset:
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    What was the origin country of the car model ford torino produced in 1970? origin country refers to country; Ford Torino refers to car_name = 'ford torino'; produced in 1970 refers to model_year = 1970

    【Evidence】
    origin country refers to country; Ford Torino refers to car_name = 'ford torino'; produced in 1970 refers to model_year = 1970

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.car_name = 'ford torino' AND T2.model_year = 1970
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    Among the car models introduced in the market in 1970, how many of them have the USA as their origin country? introduced in the market in 1970 refers to model_year = 1970; have the USA as origin country refers to country = 'USA'

    【Evidence】
    introduced in the market in 1970 refers to model_year = 1970; have the USA as origin country refers to country = 'USA'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(*) FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T1.model_year = 1970 AND T2.country = 'USA'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    Please list the names of all the car models whose origin country is the USA. name of car model refers to car_name; origin country is the USA refers to country = 'USA'

    【Evidence】
    name of car model refers to car_name; origin country is the USA refers to country = 'USA'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT DISTINCT T1.car_name FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T2.country = T3.origin WHERE T3.country = 'USA'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    Please list the names of the top 3 most expensive cars. name of the car refers to car_name; the most expensive refers to max(price)

    【Evidence】
    name of the car refers to car_name; the most expensive refers to max(price)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 3
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    Please list all the years in which the car model Chevrolet Impala was introduced in the market. year refers to model_year; Chevrolet Impala refers to car_name = 'chevrolet impala'

    【Evidence】
    year refers to model_year; Chevrolet Impala refers to car_name = 'chevrolet impala'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT DISTINCT T1.model_year FROM production AS T1 INNER JOIN data AS T2 ON T1.ID = T2.ID WHERE T2.car_name = 'chevrolet impala'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    Among the cars with an acceleration of over 10 miles per squared hour, how many of them cost more than $20000 and less than $30000? an acceleration of over 10 miles per squared hour refers to acceleration > 10; cost more than $20000 and less than $30000 refers to price < 30000 AND price > 20000

    【Evidence】
    an acceleration of over 10 miles per squared hour refers to acceleration > 10; cost more than $20000 and less than $30000 refers to price < 30000 AND price > 20000

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(*) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.acceleration > 10 AND T2.price BETWEEN 20000 AND 30000
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    Please list the weights of all the cars with the price over $40000. price over $40000 refers to price > 40000

    【Evidence】
    price over $40000 refers to price > 40000

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.weight FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price > 40000
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    What is the maximum acceleration of a car with price over $40000? the maximum acceleration refers to max(acceleration); price over $40000 refers to price > 40000

    【Evidence】
    the maximum acceleration refers to max(acceleration); price over $40000 refers to price > 40000

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT MAX(T1.acceleration) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price > 40000
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    What is the average price of cars with 8 cylinders? with 8 cylinders refers to cylinders = 8; average price = avg(price) where cylinders = 8

    【Evidence】
    with 8 cylinders refers to cylinders = 8; average price = avg(price) where cylinders = 8

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT AVG(T2.price) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.cylinders = 8
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    What is the maximum sweep volume of a car that costs less than $30000? cost less than $30000 refers to price < 30000; the maximum sweep volume = max(divide(displacement, cylinders)) where price < 30000

    【Evidence】
    cost less than $30000 refers to price < 30000; the maximum sweep volume = max(divide(displacement, cylinders)) where price < 30000

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT MAX(T1.displacement / T1.cylinders) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price < 30000
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    How many cars in the database are originated from Europe? originated from Europe refers to country = 'Europe'

    【Evidence】
    originated from Europe refers to country = 'Europe'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(*) FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T2.country = 'Europe'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    Show the origin country of Chevrolet Malibu. origin country refers to country; Chevrolet Malibu refers to car_name = 'chevrolet malibu'

    【Evidence】
    origin country refers to country; Chevrolet Malibu refers to car_name = 'chevrolet malibu'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.car_name = 'chevrolet malibu'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    What are the miles per gallon of the most expensive car? miles per gallon refers to mpg; the most expensive refers to max(price)

    【Evidence】
    miles per gallon refers to mpg; the most expensive refers to max(price)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.mpg FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cars
【Schema】
# Table: data
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(mpg:REAL, Examples: [18.0, 15.0, 16.0]),
(cylinders:INTEGER, Examples: [8, 4, 6]),
(displacement:REAL, Examples: [307.0, 350.0, 318.0]),
(horsepower:INTEGER, Examples: [130, 165, 150]),
(weight:INTEGER, Examples: [3504, 3693, 3436]),
(acceleration:REAL, Examples: [12.0, 11.5, 11.0]),
(model:INTEGER, Examples: [70, 71, 72]),
(car_name:TEXT, Examples: [chevrolet chevelle malibu])
]
# Table: country
[
(origin:INTEGER, Primary Key, Examples: [1, 2, 3]),
(country:TEXT, Examples: [USA, Europe, Japan])
]
# Table: price
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(price:REAL, Examples: [25561.59078, 24221.42273, 27240.84373])
]
# Table: production
[
(ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(model_year:INTEGER, Primary Key, Examples: [1970, 1971, 1972]),
(country:INTEGER, Examples: [1, 3, 2])
]
【Foreign keys】
data.ID=price.ID
production.country=country.origin
production.ID=data.ID
production.ID=price.ID

    【Question】
    Tell the origin country of car no.382. origin country refers to country; car no.382 refers to ID = 382

    【Evidence】
    origin country refers to country; car no.382 refers to ID = 382

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT DISTINCT T2.country FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T1.ID = 382