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Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Tell me the number of dogs that have received any treatment.
Output:
| [
"SELECT count(*) FROM Dogs WHERE dog_id NOT IN ( SELECT dog_id FROM Treatments )"
] | task107-9c425622ce47447490165022c40c07b6 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Find the last name of the student who has a cat that is age 3.
Output:
| [
"SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pet_age = 3 AND T3.pettype = 'cat'"
] | task107-9c2c27e0023d458ea0ed8148d7b618db |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the different card types, and how many transactions have been made with each?
Output:
| [
"SELECT T2.card_type_code , count(*) FROM Financial_transactions AS T1 JOIN Customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code"
] | task107-583b4910a2924b859614d39f25ee5aec |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Show the location name and code with the least documents.
Output:
| [
"SELECT T2.location_name , T1.location_code FROM Document_locations AS T1 JOIN Ref_locations AS T2 ON T1.location_code = T2.location_code GROUP BY T1.location_code ORDER BY count(*) ASC LIMIT 1"
] | task107-4f8c92ffaf864260842ec5324e3a6c16 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Count the number of characteristics.
Output:
| [
"SELECT count(*) FROM CHARACTERISTICS"
] | task107-78acd7af70834ee4b311d8c25de072bb |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Please show the industries of companies in descending order of the number of companies.
Output:
| [
"SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC"
] | task107-951c2e15b97b406384bd8ecd51f20593 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many kinds of different ratings are listed?
Output:
| [
"SELECT count(DISTINCT rating) FROM film"
] | task107-37b911eeeab54e4f8be4a8fee4dd2720 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many products are there in the records?
Output:
| [
"SELECT count(*) FROM catalog_contents"
] | task107-d544f7f7104e444989049556f71dc60a |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the names of the heads who are born outside the California state?
Output:
| [
"SELECT name FROM head WHERE born_state != 'California'"
] | task107-22d710c592784f938aef0282286f4512 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Which party has the largest number of delegates?
Output:
| [
"SELECT T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T1.Party ORDER BY COUNT(*) DESC LIMIT 1"
] | task107-8aade7244ef740baa80086361024c91f |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Find the ids of reviewers who didn't only give 4 star.
Output:
| [
"SELECT rID FROM Rating WHERE stars != 4"
] | task107-876830116a5f4556853b2c915c8230a4 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many different colleges are there?
Output:
| [
"SELECT count(*) FROM College"
] | task107-7a7f368b0313474c83c6fc28122b486c |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What is the total number of routes for each country and airline in that country?
Output:
| [
"SELECT T1.country , T1.name , count(*) FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T1.country , T1.name"
] | task107-7188eac043584d25aeef8c847ece26ff |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the titles of all albums that start with A in alphabetical order?
Output:
| [
"SELECT title FROM albums WHERE title LIKE 'A%' ORDER BY title"
] | task107-2a8e4b8c10ff49b696aa32c3a27b6b30 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the titles of films that are either longer than 100 minutes or rated PG other than those that cost more than 200 to replace?
Output:
| [
"SELECT title FROM film WHERE LENGTH > 100 OR rating = 'PG' EXCEPT SELECT title FROM film WHERE replacement_cost > 200"
] | task107-f90a9fa729ef4c4ea40ee385311d509e |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Count the number of chip model that do not have wifi.
Output:
| [
"SELECT count(*) FROM chip_model WHERE wifi = 'No'"
] | task107-c027cdd2d36a4c63adfc2e3c5333dfa8 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many transaction does each account have? Show the number and account id.
Output:
| [
"SELECT count(*) , account_id FROM Financial_transactions"
] | task107-09f3c166ea8d48aca57ba8e220a1ae18 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the titles of movies and books corresponding to companies incorporated in China?
Output:
| [
"SELECT T1.title , T3.book_title FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id JOIN book_club AS T3 ON T3.book_club_id = T2.book_club_id WHERE T2.incorporated_in = 'China'"
] | task107-b098cbef9fc14cdb8a5f57adf7366fa5 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the countries that are not playing cartoons written by Todd Casey?
Output:
| [
"SELECT country FROM TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey'"
] | task107-61433dc37ebb45b6a3a4413b34f90528 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Show the names and heights of buildings with at least two institutions founded after 1880.
Output:
| [
"SELECT T1.name , T1.height_feet FROM building AS T1 JOIN institution AS T2 ON T1.building_id = T2.building_id WHERE T2.founded > 1880 GROUP BY T1.building_id HAVING count(*) >= 2"
] | task107-b7e51d736d994ec091825ddc71f1cb02 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the names of the activities Mark Giuliano is involved in
Output:
| [
"SELECT T3.activity_name FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID JOIN Activity AS T3 ON T3.actid = T2.actid WHERE T1.fname = \"Mark\" AND T1.lname = \"Giuliano\""
] | task107-a71e4376e9bb46c9b38e1bc270ac4404 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Count the number of items store 1 has in stock.
Output:
| [
"SELECT count(*) FROM inventory WHERE store_id = 1"
] | task107-0d268b2b59af49c88c1107c2d672fedf |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Show the names of phones that have total number of stocks bigger than 2000, in descending order of the total number of stocks.
Output:
| [
"SELECT T2.Name FROM phone_market AS T1 JOIN phone AS T2 ON T1.Phone_ID = T2.Phone_ID GROUP BY T2.Name HAVING sum(T1.Num_of_stock) >= 2000 ORDER BY sum(T1.Num_of_stock) DESC"
] | task107-8e41f505cdf44309aa5d18c4df983b45 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the arriving date and the departing date of the dogs who have gone through a treatment?
Output:
| [
"SELECT DISTINCT T1.date_arrived , T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id = T2.dog_id"
] | task107-3cf2e8a73b7e4b0dbfdc3cd8831635a4 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What is the average weeks on top of volumes associated with the artist aged 25 or younger?
Output:
| [
"SELECT avg(T2.Weeks_on_Top) FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 25"
] | task107-f060d8c95ef64e57a9f25156d69e8139 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the three products that have the most problems?s
Output:
| [
"SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name ORDER BY count(*) DESC LIMIT 3"
] | task107-dd2540c11751421784bd048e5e547720 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Show minimum, maximum, and average market value for all companies.
Output:
| [
"SELECT min(market_value) , max(market_value) , avg(market_value) FROM company"
] | task107-009f6cc45b4e457eb6ef4c97d436ef8f |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Which kind of part has the least number of faults? List the part name.
Output:
| [
"SELECT T1.part_name FROM Parts AS T1 JOIN Part_Faults AS T2 ON T1.part_id = T2.part_id GROUP BY T1.part_name ORDER BY count(*) ASC LIMIT 1"
] | task107-027c9444d801443ab2a27594f8621f62 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Show the ids of the employees who don't authorize destruction for any document.
Output:
| [
"SELECT employee_id FROM Employees EXCEPT SELECT Destruction_Authorised_by_Employee_ID FROM Documents_to_be_destroyed"
] | task107-be4fb507dbbf4a7e85e65b28ca6be137 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: List the name of the phone model launched in year 2002 and with the highest RAM size.
Output:
| [
"SELECT T2.Hardware_Model_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T1.Launch_year = 2002 ORDER BY T1.RAM_MiB DESC LIMIT 1"
] | task107-f77db0a8d59c451a800ced7d6e2b2b68 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many followers does each user have?
Output:
| [
"SELECT count(*) FROM follows"
] | task107-340bf1b342634546aa450346fabd2d23 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What is the match id of the competition called "1994 FIFA World Cup qualification"?
Output:
| [
"SELECT match_id FROM MATCH WHERE competition = \"1994 FIFA World Cup qualification\""
] | task107-ca37514a66a0401bbe8f86bb9ba676aa |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Give me the name of the customer who ordered the most items in total.
Output:
| [
"SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id GROUP BY t1.customer_name ORDER BY sum(t3.order_quantity) DESC LIMIT 1"
] | task107-96af428fddf6407a9d848c99507499a9 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: List the type of bed and name of all traditional rooms.
Output:
| [
"SELECT roomName , bedType FROM Rooms WHERE decor = \"traditional\""
] | task107-ff3ea23ba5de417fab91e74356b09151 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Find the average number of followers for the users who had some tweets.
Output:
| [
"SELECT avg(followers) FROM user_profiles WHERE UID IN (SELECT UID FROM tweets)"
] | task107-75a16b1233374c9586863055f99d7474 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many council taxes are collected for renting arrears ?
Output:
| [
"SELECT count(*) FROM rent_arrears"
] | task107-650a24c1b9034fc88498d71ea092213d |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Find the id of the order made most recently.
Output:
| [
"SELECT order_id FROM orders ORDER BY date_order_placed DESC LIMIT 1"
] | task107-1a6418166a1245debc0ea5a19b9a6d74 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Find the manager name and district of the shop whose number of products is the largest.
Output:
| [
"SELECT manager_name , district FROM shop ORDER BY number_products DESC LIMIT 1"
] | task107-a19a66d54d50494885e74313220ca82b |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the names of customers with accounts, and how many checking accounts do each of them have?
Output:
| [
"SELECT count(*) , T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid GROUP BY T1.name"
] | task107-4e4eeaf1c0c945299a9f5177d208b37a |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What is the checking balance of the account whose owner’s name contains the substring ‘ee’?
Output:
| [
"SELECT T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T1.name LIKE '%ee%'"
] | task107-ec4a09aac25c4147a32202b1f469b387 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Which cmi cross reference id is not related to any parking taxes?
Output:
| [
"SELECT cmi_cross_ref_id FROM cmi_cross_references EXCEPT SELECT cmi_cross_ref_id FROM parking_fines"
] | task107-74a6a05e0a10447399996e0a947743aa |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Which assets have 2 parts and have less than 2 fault logs? List the asset id and detail.
Output:
| [
"SELECT T1.asset_id , T1.asset_details FROM Assets AS T1 JOIN Asset_Parts AS T2 ON T1.asset_id = T2.asset_id GROUP BY T1.asset_id HAVING count(*) = 2 INTERSECT SELECT T1.asset_id , T1.asset_details FROM Assets AS T1 JOIN Fault_Log AS T2 ON T1.asset_id = T2.asset_id GROUP BY T1.asset_id HAVING count(*) < 2"
] | task107-aef329f96d5a4281a727c3c7e994015c |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Which cities have regional population above 8000000 or below 5000000?
Output:
| [
"SELECT city FROM city WHERE regional_population > 10000000 UNION SELECT city FROM city WHERE regional_population < 5000000"
] | task107-4c36b1b55efe4bbdbfb5685c9675ed23 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many regions do we have?
Output:
| [
"SELECT count(*) FROM region"
] | task107-95893afed10d4702a34ec26d9375a029 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: List each birth place along with the number of people from there.
Output:
| [
"SELECT Birth_Place , COUNT(*) FROM people GROUP BY Birth_Place"
] | task107-081951dd545c4f9ba5ccd4460d2b830f |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the names of high schoolers who have a grade of over 5 and have 2 or more friends?
Output:
| [
"SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.grade > 5 GROUP BY T1.student_id HAVING count(*) >= 2"
] | task107-255421c47fc746ffb6d2fd6457647c42 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Return the official native languages of countries who have players from Maryland or Duke colleges.
Output:
| [
"SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.College = \"Maryland\" OR T2.College = \"Duke\""
] | task107-8f93d7c4aee94deb8905b6ace5f3c82d |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many proteins are associated with an institution in a building with at least 20 floors?
Output:
| [
"SELECT count(*) FROM institution AS T1 JOIN protein AS T2 ON T1.institution_id = T2.institution_id JOIN building AS T3 ON T3.building_id = T1.building_id WHERE T3.floors >= 20"
] | task107-c133a0f47a784e7d8a68d9e2abbc88a8 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: List the states where both the secretary of 'Treasury' department and the secretary of 'Homeland Security' were born.
Output:
| [
"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.head_id = T3.head_id WHERE T1.name = 'Homeland Security'"
] | task107-67c1f585327e4efe9be56f3c0b93e006 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: Return the issue date of the volume that has spent the fewest weeks on top.
Output:
| [
"SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top ASC LIMIT 1"
] | task107-95ade4ae676d48dabb17953537317a39 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many pets are owned by students that have an age greater than 20?
Output:
| [
"SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20"
] | task107-c814906e6f404be4b271de9ac4052882 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What is all the information regarding employees with salaries above the minimum and under 2500?
Output:
| [
"SELECT * FROM employees WHERE salary BETWEEN (SELECT MIN(salary) FROM employees) AND 2500"
] | task107-525d4264502f404c95a45928e4903640 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: How many flights do we have?
Output:
| [
"SELECT count(*) FROM FLIGHTS"
] | task107-58797ec460cf42db8827cad75bd4c740 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the distinct names of customers who have purchased a keyboard?
Output:
| [
"SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id JOIN products AS T4 ON T3.product_id = T4.product_id WHERE T4.product_name = \"keyboard\""
] | task107-01c0e09f1fcd4568bb01b06edc8226a9 |
Definition: In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Positive Example 1 -
Input: Find the id and city of the student address with the highest average monthly rental.
Output: SELECT T2.address_id , T1.city FROM Addresses AS T1 JOIN Student_Addresses AS T2 ON T1.address_id = T2.address_id GROUP BY T2.address_id ORDER BY AVG(monthly_rental) DESC LIMIT 1
Positive Example 2 -
Input: Show the facility codes of apartments with more than 4 bedrooms.
Output: SELECT T1.facility_code FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4
Negative Example 1 -
Input: Show the average room count of the apartments that have booking status code "Provisional".
Output: SELECT Avg ( T1.bathroom_count ) FROM Apartments AS T1 JOIN Apartment_Bookings AS T2 ON T1.apt_id = T2.apt_id WHERE T2.booking_status_code = "Provisional"
Negative Example 2 -
Input: Show all product names and the total quantity ordered for each product name.
Output: SELECT product_name , Sum ( * ) FROM Products GROUP BY product_name
Now complete the following example -
Input: What are the job titles, and range of salaries for jobs with maximum salary between 12000 and 18000?
Output:
| [
"SELECT job_title , max_salary - min_salary FROM jobs WHERE max_salary BETWEEN 12000 AND 18000"
] | task107-c26ddbe305824a699b50265c01a2b599 |
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in Dataset Viewer.
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task107_splash_question_to_sql
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks},
author={Yizhong Wang and Swaroop Mishra and Pegah Alipoormolabashi and Yeganeh Kordi and Amirreza Mirzaei and Anjana Arunkumar and Arjun Ashok and Arut Selvan Dhanasekaran and Atharva Naik and David Stap and Eshaan Pathak and Giannis Karamanolakis and Haizhi Gary Lai and Ishan Purohit and Ishani Mondal and Jacob Anderson and Kirby Kuznia and Krima Doshi and Maitreya Patel and Kuntal Kumar Pal and Mehrad Moradshahi and Mihir Parmar and Mirali Purohit and Neeraj Varshney and Phani Rohitha Kaza and Pulkit Verma and Ravsehaj Singh Puri and Rushang Karia and Shailaja Keyur Sampat and Savan Doshi and Siddhartha Mishra and Sujan Reddy and Sumanta Patro and Tanay Dixit and Xudong Shen and Chitta Baral and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi and Daniel Khashabi},
year={2022},
eprint={2204.07705},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2204.07705},
}
More details can also be found in the following paper:
@misc{brüelgabrielsson2024compressserveservingthousands,
title={Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead},
author={Rickard Brüel-Gabrielsson and Jiacheng Zhu and Onkar Bhardwaj and Leshem Choshen and Kristjan Greenewald and Mikhail Yurochkin and Justin Solomon},
year={2024},
eprint={2407.00066},
archivePrefix={arXiv},
primaryClass={cs.DC},
url={https://arxiv.org/abs/2407.00066},
}
Contact Information
For any comments or questions, please email Rickard Brüel Gabrielsson
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