db_id stringclasses 146
values | schema stringclasses 146
values | question stringlengths 3 224 | sql stringlengths 18 577 |
|---|---|---|---|
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | How many heads of the departments are older than 56 ? | SELECT count(*) FROM head WHERE age > 56 |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | List the name, born state and age of the heads of departments ordered by age. | SELECT name , born_state , age FROM head ORDER BY age |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | List the creation year, name and budget of each department. | SELECT creation , name , budget_in_billions FROM department |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | What are the maximum and minimum budget of the departments? | SELECT max(budget_in_billions) , min(budget_in_billions) FROM department |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | What is the average number of employees of the departments whose rank is between 10 and 15? | SELECT avg(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15 |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | What are the names of the heads who are born outside the California state? | SELECT name FROM head WHERE born_state != 'California' |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'? | SELECT DISTINCT T1.creation FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T3.born_state = 'Alabama' |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | What are the names of the states where at least 3 heads were born? | SELECT born_state FROM head GROUP BY born_state HAVING count(*) >= 3 |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | In which year were most departments established? | SELECT creation FROM department GROUP BY creation ORDER BY count(*) DESC LIMIT 1 |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'? | SELECT T1.name , T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes' |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | How many acting statuses are there? | SELECT count(DISTINCT temporary_acting) FROM management |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | How many departments are led by heads who are not mentioned? | SELECT count(*) FROM department WHERE department_id NOT IN (SELECT department_id FROM management); |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | What are the distinct ages of the heads who are acting? | SELECT DISTINCT T1.age FROM management AS T2 JOIN head AS T1 ON T1.head_id = T2.head_id WHERE T2.temporary_acting = 'Yes' |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | List the states where both the secretary of 'Treasury' department and the secretary of 'Homeland Security' were born. | SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Treasury' INTERSECT SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.he... |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | Which department has more than 1 head at a time? List the id, name and the number of heads. | SELECT T1.department_id , T1.name , count(*) FROM management AS T2 JOIN department AS T1 ON T1.department_id = T2.department_id GROUP BY T1.department_id HAVING count(*) > 1 |
department_management | 【DB_ID】 department_management
【Schema】
# Table: main.department
[
(Department_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [State, Treasury, Defense]),
(Creation:TEXT, Examples: [1789, 1947, 1870]),
(Ranking:INTEGER, Examples: [1, 2, 3]),
(Budget_in_Billions:REAL, Examples: [9.96, 11.1, 439.3]),... | Which head's name has the substring 'Ha'? List the id and name. | SELECT head_id , name FROM head WHERE name LIKE '%Ha%' |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | How many farms are there? | SELECT count(*) FROM farm |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Count the number of farms. | SELECT count(*) FROM farm |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | List the total number of horses on farms in ascending order. | SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What is the total horses record for each farm, sorted ascending? | SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the hosts of competitions whose theme is not "Aliens"? | SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens' |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Return the hosts of competitions for which the theme is not Aliens? | SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens' |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the themes of farm competitions sorted by year in ascending order? | SELECT Theme FROM farm_competition ORDER BY YEAR ASC |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Return the themes of farm competitions, sorted by year ascending. | SELECT Theme FROM farm_competition ORDER BY YEAR ASC |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What is the average number of working horses of farms with more than 5000 total number of horses? | SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Give the average number of working horses on farms with more than 5000 total horses. | SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the maximum and minimum number of cows across all farms. | SELECT max(Cows) , min(Cows) FROM farm |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Return the maximum and minimum number of cows across all farms. | SELECT max(Cows) , min(Cows) FROM farm |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | How many different statuses do cities have? | SELECT count(DISTINCT Status) FROM city |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Count the number of different statuses. | SELECT count(DISTINCT Status) FROM city |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | List official names of cities in descending order of population. | SELECT Official_Name FROM city ORDER BY Population DESC |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the official names of cities, ordered descending by population? | SELECT Official_Name FROM city ORDER BY Population DESC |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | List the official name and status of the city with the largest population. | SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What is the official name and status of the city with the most residents? | SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Show the years and the official names of the host cities of competitions. | SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Give the years and official names of the cities of each competition. | SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Show the official names of the cities that have hosted more than one competition. | SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the official names of cities that have hosted more than one competition? | SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Show the status of the city that has hosted the greatest number of competitions. | SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What is the status of the city that has hosted the most competitions? | SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Please show the themes of competitions with host cities having populations larger than 1000. | SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the themes of competitions that have corresponding host cities with more than 1000 residents? | SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Please show the different statuses of cities and the average population of cities with each status. | SELECT Status , avg(Population) FROM city GROUP BY Status |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the statuses and average populations of each city? | SELECT Status , avg(Population) FROM city GROUP BY Status |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Please show the different statuses, ordered by the number of cities that have each. | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Return the different statuses of cities, ascending by frequency. | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | List the most common type of Status across cities. | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What is the most common status across all cities? | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | List the official names of cities that have not held any competition. | SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition) |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the official names of cities that have not hosted a farm competition? | SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition) |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Show the status shared by cities with population bigger than 1500 and smaller than 500. | SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Which statuses correspond to both cities that have a population over 1500 and cities that have a population lower than 500? | SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Find the official names of cities with population bigger than 1500 or smaller than 500. | SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the official names of cities that have population over 1500 or less than 500? | SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500 |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | Show the census ranking of cities whose status are not "Village". | SELECT Census_Ranking FROM city WHERE Status != "Village" |
farm | 【DB_ID】 farm
【Schema】
# Table: main.city
[
(City_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Official_Name:TEXT, Examples: [Grand Falls/Grand-Sault]),
(Status:TEXT, Examples: [Town, Village]),
(Area_km_2:REAL, Examples: [18.06, 8.89, 3.09]),
(Population:REAL, Examples: [5706.0, 1778.0, 1135.0]),
(Census_Ranking:TEX... | What are the census rankings of cities that do not have the status "Village"? | SELECT Census_Ranking FROM city WHERE Status != "Village" |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | which course has most number of registered students? | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What is the name of the course with the most registered students? | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | what is id of students who registered some courses but the least number of courses in these students? | SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the ids of the students who registered for some courses but had the least number of courses for all students? | SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | what are the first name and last name of all candidates? | SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the first and last names of all the candidates? | SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | List the id of students who never attends courses? | SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance) |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the ids of every student who has never attended a course? | SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance) |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | List the id of students who attended some courses? | SELECT student_id FROM student_course_attendance |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the ids of all students who have attended at least one course? | SELECT student_id FROM student_course_attendance |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the ids of all students for courses and what are the names of those courses? | SELECT T1.student_id , T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What is detail of the student who most recently registered course? | SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What details do we have on the students who registered for courses most recently? | SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | How many students attend course English? | SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English" |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | How many students are attending English courses? | SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English" |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | How many courses do the student whose id is 171 attend? | SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | How many courses does the student with id 171 actually attend? | SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | Find id of the candidate whose email is stanley.monahan@example.org? | SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "stanley.monahan@example.org" |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What is the id of the candidate whose email is stanley.monahan@example.org? | SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "stanley.monahan@example.org" |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | Find id of the candidate who most recently accessed the course? | SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What is the id of the candidate who most recently accessed the course? | SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What is detail of the student who registered the most number of courses? | SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the details of the student who registered for the most number of courses? | SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | List the id of students who registered some courses and the number of their registered courses? | SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | For every student who is registered for some course, how many courses are they registered for? | SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | How many registed students do each course have? List course name and the number of their registered students? | SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | For each course id, how many students are registered and what are the course names? | SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | Find id of candidates whose assessment code is "Pass"? | SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass" |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the ids of the candidates that have an outcome code of Pass? | SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass" |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | Find the cell mobile number of the candidates whose assessment code is "Fail"? | SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = "Fail" |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the cell phone numbers of the candidates that received an assessment code of "Fail"? | SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = "Fail" |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the id of students who registered course 301? | SELECT student_id FROM student_course_attendance WHERE course_id = 301 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the ids of the students who registered for course 301? | SELECT student_id FROM student_course_attendance WHERE course_id = 301 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What is the id of the student who most recently registered course 301? | SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the ids of the students who registered for course 301 most recently? | SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1 |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | Find distinct cities of addresses of people? | SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | What are the different cities where people live? | SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id |
student_assessment | 【DB_ID】 student_assessment
【Schema】
# Table: main.Addresses
[
(address_id:INTEGER, Primary Key, Examples: [5, 9, 29]),
(line_1:VARCHAR),
(line_2:VARCHAR, Examples: [Suite 096, Apt. 163, Apt. 419]),
(city:VARCHAR, Examples: [Linnealand, South Minnie, North Trystanborough]),
(zip_postcode:CHAR, Examples: [862, 716, 112])... | Find distinct cities of address of students? | SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id |
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