input stringlengths 667 7.62k | output stringlengths 41 600 | db_id stringlengths 3 31 | query stringlengths 18 577 | question stringlengths 3 224 | schema stringlengths 177 6.14k | primary_keys stringlengths 16 545 | foreign_keys stringlengths 16 1.48k |
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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , ... | <SQL_QUERY>SELECT amount FROM payment ORDER BY amount DESC LIMIT 1</SQL_QUERY> | sakila_1 | SELECT amount FROM payment ORDER BY amount DESC LIMIT 1 | What is the largest payment amount? | [Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , last_name (text) , last_update (text) | address : address_id (text) , address (number) , address2 (text) , district (text) , city_id (time) , postal_code (number) , phone (text) , last_update (text) | category : category_id (text) ... | [Primary Keys]: actor : actor_id, address : address_id, category : category_id, city : city_id, country : country_id, customer : customer_id, film : film_id, film_actor : actor_id, film_category : film_id, film_text : film_id, inventory : inventory_id, language : language_id, payment : payment_id, rental : rental_id, s... | [Foreign Keys]: address : city_id = city : city_id | city : country_id = country : country_id | customer : store_id = store : store_id | customer : address_id = address : address_id | film : original_language_id = language : language_id | film : language_id = language : language_id | film_actor : film_id = film : film_... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , ... | <SQL_QUERY>SELECT amount FROM payment ORDER BY amount DESC LIMIT 1</SQL_QUERY> | sakila_1 | SELECT amount FROM payment ORDER BY amount DESC LIMIT 1 | Return the amount of the largest payment. | [Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , last_name (text) , last_update (text) | address : address_id (text) , address (number) , address2 (text) , district (text) , city_id (time) , postal_code (number) , phone (text) , last_update (text) | category : category_id (text) ... | [Primary Keys]: actor : actor_id, address : address_id, category : category_id, city : city_id, country : country_id, customer : customer_id, film : film_id, film_actor : actor_id, film_category : film_id, film_text : film_id, inventory : inventory_id, language : language_id, payment : payment_id, rental : rental_id, s... | [Foreign Keys]: address : city_id = city : city_id | city : country_id = country : country_id | customer : store_id = store : store_id | customer : address_id = address : address_id | film : original_language_id = language : language_id | film : language_id = language : language_id | film_actor : film_id = film : film_... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , ... | <SQL_QUERY>SELECT T2.address FROM staff AS T1 JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.first_name = 'Elsa'</SQL_QUERY> | sakila_1 | SELECT T2.address FROM staff AS T1 JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.first_name = 'Elsa' | Where does the staff member with the first name Elsa live? | [Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , last_name (text) , last_update (text) | address : address_id (text) , address (number) , address2 (text) , district (text) , city_id (time) , postal_code (number) , phone (text) , last_update (text) | category : category_id (text) ... | [Primary Keys]: actor : actor_id, address : address_id, category : category_id, city : city_id, country : country_id, customer : customer_id, film : film_id, film_actor : actor_id, film_category : film_id, film_text : film_id, inventory : inventory_id, language : language_id, payment : payment_id, rental : rental_id, s... | [Foreign Keys]: address : city_id = city : city_id | city : country_id = country : country_id | customer : store_id = store : store_id | customer : address_id = address : address_id | film : original_language_id = language : language_id | film : language_id = language : language_id | film_actor : film_id = film : film_... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , ... | <SQL_QUERY>SELECT T2.address FROM staff AS T1 JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.first_name = 'Elsa'</SQL_QUERY> | sakila_1 | SELECT T2.address FROM staff AS T1 JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.first_name = 'Elsa' | Give the address of the staff member who has the first name Elsa. | [Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , last_name (text) , last_update (text) | address : address_id (text) , address (number) , address2 (text) , district (text) , city_id (time) , postal_code (number) , phone (text) , last_update (text) | category : category_id (text) ... | [Primary Keys]: actor : actor_id, address : address_id, category : category_id, city : city_id, country : country_id, customer : customer_id, film : film_id, film_actor : actor_id, film_category : film_id, film_text : film_id, inventory : inventory_id, language : language_id, payment : payment_id, rental : rental_id, s... | [Foreign Keys]: address : city_id = city : city_id | city : country_id = country : country_id | customer : store_id = store : store_id | customer : address_id = address : address_id | film : original_language_id = language : language_id | film : language_id = language : language_id | film_actor : film_id = film : film_... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , ... | <SQL_QUERY>SELECT first_name FROM customer WHERE customer_id NOT IN( SELECT customer_id FROM rental WHERE rental_date > '2005-08-23 02:06:01' )</SQL_QUERY> | sakila_1 | SELECT first_name FROM customer WHERE customer_id NOT IN( SELECT customer_id FROM rental WHERE rental_date > '2005-08-23 02:06:01' ) | What are the first names of customers who have not rented any films after '2005-08-23 02:06:01'? | [Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , last_name (text) , last_update (text) | address : address_id (text) , address (number) , address2 (text) , district (text) , city_id (time) , postal_code (number) , phone (text) , last_update (text) | category : category_id (text) ... | [Primary Keys]: actor : actor_id, address : address_id, category : category_id, city : city_id, country : country_id, customer : customer_id, film : film_id, film_actor : actor_id, film_category : film_id, film_text : film_id, inventory : inventory_id, language : language_id, payment : payment_id, rental : rental_id, s... | [Foreign Keys]: address : city_id = city : city_id | city : country_id = country : country_id | customer : store_id = store : store_id | customer : address_id = address : address_id | film : original_language_id = language : language_id | film : language_id = language : language_id | film_actor : film_id = film : film_... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , ... | <SQL_QUERY>SELECT first_name FROM customer WHERE customer_id NOT IN( SELECT customer_id FROM rental WHERE rental_date > '2005-08-23 02:06:01' )</SQL_QUERY> | sakila_1 | SELECT first_name FROM customer WHERE customer_id NOT IN( SELECT customer_id FROM rental WHERE rental_date > '2005-08-23 02:06:01' ) | Return the first names of customers who did not rented a film after the date '2005-08-23 02:06:01'. | [Schema (values) (types)]: | sakila_1 | actor : actor_id (text) , first_name (number) , last_name (text) , last_update (text) | address : address_id (text) , address (number) , address2 (text) , district (text) , city_id (time) , postal_code (number) , phone (text) , last_update (text) | category : category_id (text) ... | [Primary Keys]: actor : actor_id, address : address_id, category : category_id, city : city_id, country : country_id, customer : customer_id, film : film_id, film_actor : actor_id, film_category : film_id, film_text : film_id, inventory : inventory_id, language : language_id, payment : payment_id, rental : rental_id, s... | [Foreign Keys]: address : city_id = city : city_id | city : country_id = country : country_id | customer : store_id = store : store_id | customer : address_id = address : address_id | film : original_language_id = language : language_id | film : language_id = language : language_id | film_actor : film_id = film : film_... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT count(*) FROM bank</SQL_QUERY> | loan_1 | SELECT count(*) FROM bank | How many bank branches are there? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT count(*) FROM bank</SQL_QUERY> | loan_1 | SELECT count(*) FROM bank | Count the number of bank branches. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(no_of_customers) FROM bank</SQL_QUERY> | loan_1 | SELECT sum(no_of_customers) FROM bank | How many customers are there? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(no_of_customers) FROM bank</SQL_QUERY> | loan_1 | SELECT sum(no_of_customers) FROM bank | What is the total number of customers across banks? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(no_of_customers) FROM bank WHERE city = 'New York City'</SQL_QUERY> | loan_1 | SELECT sum(no_of_customers) FROM bank WHERE city = 'New York City' | Find the number of customers in the banks at New York City. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(no_of_customers) FROM bank WHERE city = 'New York City'</SQL_QUERY> | loan_1 | SELECT sum(no_of_customers) FROM bank WHERE city = 'New York City' | What is the total number of customers who use banks in New York City? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(no_of_customers) FROM bank WHERE state = 'Utah'</SQL_QUERY> | loan_1 | SELECT avg(no_of_customers) FROM bank WHERE state = 'Utah' | Find the average number of customers in all banks of Utah state. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(no_of_customers) FROM bank WHERE state = 'Utah'</SQL_QUERY> | loan_1 | SELECT avg(no_of_customers) FROM bank WHERE state = 'Utah' | What is the average number of customers across banks in the state of Utah? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(no_of_customers) FROM bank</SQL_QUERY> | loan_1 | SELECT avg(no_of_customers) FROM bank | Find the average number of customers cross all banks. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(no_of_customers) FROM bank</SQL_QUERY> | loan_1 | SELECT avg(no_of_customers) FROM bank | What is the average number of bank customers? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT city , state FROM bank WHERE bname = 'morningside'</SQL_QUERY> | loan_1 | SELECT city , state FROM bank WHERE bname = 'morningside' | Find the city and state of the bank branch named morningside. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT city , state FROM bank WHERE bname = 'morningside'</SQL_QUERY> | loan_1 | SELECT city , state FROM bank WHERE bname = 'morningside' | What city and state is the bank with the name morningside in? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT bname FROM bank WHERE state = 'New York'</SQL_QUERY> | loan_1 | SELECT bname FROM bank WHERE state = 'New York' | Find the branch names of banks in the New York state. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT bname FROM bank WHERE state = 'New York'</SQL_QUERY> | loan_1 | SELECT bname FROM bank WHERE state = 'New York' | What are the names of banks in the state of New York? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer ORDER BY acc_bal</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer ORDER BY acc_bal | List the name of all customers sorted by their account balance in ascending order. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer ORDER BY acc_bal</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer ORDER BY acc_bal | What are the names of all customers, ordered by account balance? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount)</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount) | List the name of all different customers who have some loan sorted by their total loan amount. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount)</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount) | What are the names of the different customers who have taken out a loan, ordered by the total amount that they have taken? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT state , acc_type , credit_score FROM customer WHERE no_of_loans = 0</SQL_QUERY> | loan_1 | SELECT state , acc_type , credit_score FROM customer WHERE no_of_loans = 0 | Find the state, account type, and credit score of the customer whose number of loan is 0. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT state , acc_type , credit_score FROM customer WHERE no_of_loans = 0</SQL_QUERY> | loan_1 | SELECT state , acc_type , credit_score FROM customer WHERE no_of_loans = 0 | What are the states, account types, and credit scores for customers who have 0 loans? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT count(DISTINCT city) FROM bank</SQL_QUERY> | loan_1 | SELECT count(DISTINCT city) FROM bank | Find the number of different cities which banks are located at. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT count(DISTINCT city) FROM bank</SQL_QUERY> | loan_1 | SELECT count(DISTINCT city) FROM bank | In how many different cities are banks located? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT count(DISTINCT state) FROM bank</SQL_QUERY> | loan_1 | SELECT count(DISTINCT state) FROM bank | Find the number of different states which banks are located at. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT count(DISTINCT state) FROM bank</SQL_QUERY> | loan_1 | SELECT count(DISTINCT state) FROM bank | In how many different states are banks located? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT count(DISTINCT acc_type) FROM customer</SQL_QUERY> | loan_1 | SELECT count(DISTINCT acc_type) FROM customer | How many distinct types of accounts are there? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT count(DISTINCT acc_type) FROM customer</SQL_QUERY> | loan_1 | SELECT count(DISTINCT acc_type) FROM customer | Count the number of different account types. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name , acc_bal FROM customer WHERE cust_name LIKE '%a%'</SQL_QUERY> | loan_1 | SELECT cust_name , acc_bal FROM customer WHERE cust_name LIKE '%a%' | Find the name and account balance of the customer whose name includes the letter ‘a’. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name , acc_bal FROM customer WHERE cust_name LIKE '%a%'</SQL_QUERY> | loan_1 | SELECT cust_name , acc_bal FROM customer WHERE cust_name LIKE '%a%' | What are the names and account balances of customers with the letter a in their names? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(acc_bal) FROM customer WHERE state = 'Utah' OR state = 'Texas'</SQL_QUERY> | loan_1 | SELECT sum(acc_bal) FROM customer WHERE state = 'Utah' OR state = 'Texas' | Find the total account balance of each customer from Utah or Texas. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(acc_bal) FROM customer WHERE state = 'Utah' OR state = 'Texas'</SQL_QUERY> | loan_1 | SELECT sum(acc_bal) FROM customer WHERE state = 'Utah' OR state = 'Texas' | What are the total account balances for each customer from Utah or Texas? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer WHERE acc_type = 'saving' INTERSECT SELECT cust_name FROM customer WHERE acc_type = 'checking'</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer WHERE acc_type = 'saving' INTERSECT SELECT cust_name FROM customer WHERE acc_type = 'checking' | Find the name of customers who have both saving and checking account types. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer WHERE acc_type = 'saving' INTERSECT SELECT cust_name FROM customer WHERE acc_type = 'checking'</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer WHERE acc_type = 'saving' INTERSECT SELECT cust_name FROM customer WHERE acc_type = 'checking' | What are the names of customers who have both savings and checking accounts? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer EXCEPT SELECT cust_name FROM customer WHERE acc_type = 'saving'</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer EXCEPT SELECT cust_name FROM customer WHERE acc_type = 'saving' | Find the name of customers who do not have an saving account. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer EXCEPT SELECT cust_name FROM customer WHERE acc_type = 'saving'</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer EXCEPT SELECT cust_name FROM customer WHERE acc_type = 'saving' | What are the names of customers who do not have saving accounts? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer EXCEPT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE T2.loan_type = 'Mortgages'</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer EXCEPT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE T2.loan_type = 'Mortgages' | Find the name of customers who do not have a loan with a type of Mortgages. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer EXCEPT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE T2.loan_type = 'Mortgages'</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer EXCEPT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE T2.loan_type = 'Mortgages' | What are the names of customers who have not taken a Mortage loan? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Mortgages' INTERSECT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Auto'</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Mortgages' INTERSECT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Auto' | Find the name of customers who have loans of both Mortgages and Auto. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Mortgages' INTERSECT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Auto'</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Mortgages' INTERSECT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Auto' | What are the names of customers who have taken both Mortgage and Auto loans? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer WHERE credit_score < (SELECT avg(credit_score) FROM customer)</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer WHERE credit_score < (SELECT avg(credit_score) FROM customer) | Find the name of customers whose credit score is below the average credit scores of all customers. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer WHERE credit_score < (SELECT avg(credit_score) FROM customer)</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer WHERE credit_score < (SELECT avg(credit_score) FROM customer) | What are the names of customers with credit score less than the average credit score across customers? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT bname FROM bank ORDER BY no_of_customers DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT bname FROM bank ORDER BY no_of_customers DESC LIMIT 1 | Find the branch name of the bank that has the most number of customers. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT bname FROM bank ORDER BY no_of_customers DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT bname FROM bank ORDER BY no_of_customers DESC LIMIT 1 | What is the name of the bank branch with the greatest number of customers? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer ORDER BY credit_score LIMIT 1</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer ORDER BY credit_score LIMIT 1 | Find the name of customer who has the lowest credit score. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name FROM customer ORDER BY credit_score LIMIT 1</SQL_QUERY> | loan_1 | SELECT cust_name FROM customer ORDER BY credit_score LIMIT 1 | What is the name of the customer with the worst credit score? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name , acc_type , acc_bal FROM customer ORDER BY credit_score DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT cust_name , acc_type , acc_bal FROM customer ORDER BY credit_score DESC LIMIT 1 | Find the name, account type, and account balance of the customer who has the highest credit score. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT cust_name , acc_type , acc_bal FROM customer ORDER BY credit_score DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT cust_name , acc_type , acc_bal FROM customer ORDER BY credit_score DESC LIMIT 1 | What is the name, account type, and account balance corresponding to the customer with the highest credit score? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount) DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount) DESC LIMIT 1 | Find the name of customer who has the highest amount of loans. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount) DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY sum(T2.amount) DESC LIMIT 1 | What is the name of the customer who has greatest total loan amount? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT state FROM bank GROUP BY state ORDER BY sum(no_of_customers) DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT state FROM bank GROUP BY state ORDER BY sum(no_of_customers) DESC LIMIT 1 | Find the state which has the most number of customers. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT state FROM bank GROUP BY state ORDER BY sum(no_of_customers) DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT state FROM bank GROUP BY state ORDER BY sum(no_of_customers) DESC LIMIT 1 | Which state has the greatest total number of bank customers? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(acc_bal) , acc_type FROM customer WHERE credit_score < 50 GROUP BY acc_type</SQL_QUERY> | loan_1 | SELECT avg(acc_bal) , acc_type FROM customer WHERE credit_score < 50 GROUP BY acc_type | For each account type, find the average account balance of customers with credit score lower than 50. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(acc_bal) , acc_type FROM customer WHERE credit_score < 50 GROUP BY acc_type</SQL_QUERY> | loan_1 | SELECT avg(acc_bal) , acc_type FROM customer WHERE credit_score < 50 GROUP BY acc_type | What is the average account balance of customers with credit score below 50 for the different account types? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(acc_bal) , state FROM customer WHERE credit_score > 100 GROUP BY state</SQL_QUERY> | loan_1 | SELECT sum(acc_bal) , state FROM customer WHERE credit_score > 100 GROUP BY state | For each state, find the total account balance of customers whose credit score is above 100. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(acc_bal) , state FROM customer WHERE credit_score > 100 GROUP BY state</SQL_QUERY> | loan_1 | SELECT sum(acc_bal) , state FROM customer WHERE credit_score > 100 GROUP BY state | What is the total account balance for customers with a credit score of above 100 for the different states? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(amount) , T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname</SQL_QUERY> | loan_1 | SELECT sum(amount) , T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname | Find the total amount of loans offered by each bank branch. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(amount) , T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname</SQL_QUERY> | loan_1 | SELECT sum(amount) , T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname | What are the names of the different bank branches, and what are their total loan amounts? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING count(*) > 1</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING count(*) > 1 | Find the name of customers who have more than one loan. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING count(*) > 1</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING count(*) > 1 | What are the names of customers who have taken out more than one loan? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name , T1.acc_type FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING sum(T2.amount) > 5000</SQL_QUERY> | loan_1 | SELECT T1.cust_name , T1.acc_type FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING sum(T2.amount) > 5000 | Find the name and account balance of the customers who have loans with a total amount of more than 5000. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name , T1.acc_type FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING sum(T2.amount) > 5000</SQL_QUERY> | loan_1 | SELECT T1.cust_name , T1.acc_type FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING sum(T2.amount) > 5000 | What are the names and account balances for customers who have taken a total amount of more than 5000 in loans? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname ORDER BY sum(T2.amount) DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname ORDER BY sum(T2.amount) DESC LIMIT 1 | Find the name of bank branch that provided the greatest total amount of loans. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname ORDER BY sum(T2.amount) DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname ORDER BY sum(T2.amount) DESC LIMIT 1 | What is the name of the bank branch that has lent the greatest amount? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100 GROUP BY T2.bname ORDER BY sum(T1.amount) DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100 GROUP BY T2.bname ORDER BY sum(T1.amount) DESC LIMIT 1 | Find the name of bank branch that provided the greatest total amount of loans to customers with credit score is less than 100. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100 GROUP BY T2.bname ORDER BY sum(T1.amount) DESC LIMIT 1</SQL_QUERY> | loan_1 | SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100 GROUP BY T2.bname ORDER BY sum(T1.amount) DESC LIMIT 1 | What is the name of the bank branch that has lended the largest total amount in loans, specifically to customers with credit scores below 100? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT DISTINCT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id</SQL_QUERY> | loan_1 | SELECT DISTINCT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id | Find the name of bank branches that provided some loans. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT DISTINCT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id</SQL_QUERY> | loan_1 | SELECT DISTINCT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id | What are the names of the different banks that have provided loans? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT DISTINCT T1.cust_name , T1.credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id</SQL_QUERY> | loan_1 | SELECT DISTINCT T1.cust_name , T1.credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id | Find the name and credit score of the customers who have some loans. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT DISTINCT T1.cust_name , T1.credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id</SQL_QUERY> | loan_1 | SELECT DISTINCT T1.cust_name , T1.credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id | What are the different names and credit scores of customers who have taken a loan? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE amount > 3000</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE amount > 3000 | Find the the name of the customers who have a loan with amount more than 3000. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE amount > 3000</SQL_QUERY> | loan_1 | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE amount > 3000 | What are the names of customers who have a loan of more than 3000 in amount? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.bname , T1.city FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T2.loan_type = 'Business'</SQL_QUERY> | loan_1 | SELECT T1.bname , T1.city FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T2.loan_type = 'Business' | Find the city and name of bank branches that provide business loans. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T1.bname , T1.city FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T2.loan_type = 'Business'</SQL_QUERY> | loan_1 | SELECT T1.bname , T1.city FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T2.loan_type = 'Business' | What are the names and cities of bank branches that offer loans for business? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100</SQL_QUERY> | loan_1 | SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100 | Find the names of bank branches that have provided a loan to any customer whose credit score is below 100. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100</SQL_QUERY> | loan_1 | SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id = T2.branch_id JOIN customer AS T3 ON T1.cust_id = T3.cust_id WHERE T3.credit_score < 100 | What are the names of banks that have loaned money to customers with credit scores below 100? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York'</SQL_QUERY> | loan_1 | SELECT sum(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York' | Find the total amount of loans provided by bank branches in the state of New York. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT sum(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York'</SQL_QUERY> | loan_1 | SELECT sum(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York' | What is the total amount of money loaned by banks in New York state? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(credit_score) FROM customer WHERE cust_id IN (SELECT cust_id FROM loan)</SQL_QUERY> | loan_1 | SELECT avg(credit_score) FROM customer WHERE cust_id IN (SELECT cust_id FROM loan) | Find the average credit score of the customers who have some loan. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(credit_score) FROM customer WHERE cust_id IN (SELECT cust_id FROM loan)</SQL_QUERY> | loan_1 | SELECT avg(credit_score) FROM customer WHERE cust_id IN (SELECT cust_id FROM loan) | What is the average credit score for customers who have taken a loan? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(credit_score) FROM customer WHERE cust_id NOT IN (SELECT cust_id FROM loan)</SQL_QUERY> | loan_1 | SELECT avg(credit_score) FROM customer WHERE cust_id NOT IN (SELECT cust_id FROM loan) | Find the average credit score of the customers who do not have any loan. | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_c... | <SQL_QUERY>SELECT avg(credit_score) FROM customer WHERE cust_id NOT IN (SELECT cust_id FROM loan)</SQL_QUERY> | loan_1 | SELECT avg(credit_score) FROM customer WHERE cust_id NOT IN (SELECT cust_id FROM loan) | What is the average credit score for customers who have never taken a loan? | [Schema (values) (types)]: | loan_1 | bank : branch_id (text) , bname (number) , no_of_customers (text) , city (number) , state (text) | customer : cust_id (text) , cust_name (number) , acc_type (text) , acc_bal (number) , no_of_loans (text) , credit_score (text) , branch_id (text) , state (text) | loan : loan_id (tex... | [Primary Keys]: bank : branch_id, customer : cust_id, loan : loan_id | [Foreign Keys]: customer : branch_id = bank : branch_id | loan : branch_id = bank : branch_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT count(*) FROM ASSESSMENT_NOTES</SQL_QUERY> | behavior_monitoring | SELECT count(*) FROM ASSESSMENT_NOTES | How many assessment notes are there in total? | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT date_of_notes FROM Assessment_Notes</SQL_QUERY> | behavior_monitoring | SELECT date_of_notes FROM Assessment_Notes | What are the dates of the assessment notes? | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT count(*) FROM ADDRESSES WHERE zip_postcode = "197"</SQL_QUERY> | behavior_monitoring | SELECT count(*) FROM ADDRESSES WHERE zip_postcode = "197" | How many addresses have zip code 197? | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT count(DISTINCT incident_type_code) FROM Behavior_Incident</SQL_QUERY> | behavior_monitoring | SELECT count(DISTINCT incident_type_code) FROM Behavior_Incident | How many distinct incident type codes are there? | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT DISTINCT detention_type_code FROM Detention</SQL_QUERY> | behavior_monitoring | SELECT DISTINCT detention_type_code FROM Detention | Return all distinct detention type codes. | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT date_incident_start , date_incident_end FROM Behavior_Incident WHERE incident_type_code = "NOISE"</SQL_QUERY> | behavior_monitoring | SELECT date_incident_start , date_incident_end FROM Behavior_Incident WHERE incident_type_code = "NOISE" | What are the start and end dates for incidents with incident type code "NOISE"? | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT detention_summary FROM Detention</SQL_QUERY> | behavior_monitoring | SELECT detention_summary FROM Detention | Return all detention summaries. | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT cell_mobile_number , email_address FROM STUDENTS</SQL_QUERY> | behavior_monitoring | SELECT cell_mobile_number , email_address FROM STUDENTS | Return the cell phone number and email address for all students. | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT email_address FROM Students WHERE first_name = "Emma" AND last_name = "Rohan"</SQL_QUERY> | behavior_monitoring | SELECT email_address FROM Students WHERE first_name = "Emma" AND last_name = "Rohan" | What is the email of the student with first name "Emma" and last name "Rohan"? | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT count(DISTINCT student_id) FROM Students_in_Detention</SQL_QUERY> | behavior_monitoring | SELECT count(DISTINCT student_id) FROM Students_in_Detention | How many distinct students have been in detention? | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT gender FROM TEACHERS WHERE last_name = "Medhurst"</SQL_QUERY> | behavior_monitoring | SELECT gender FROM TEACHERS WHERE last_name = "Medhurst" | What is the gender of the teacher with last name "Medhurst"? | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT incident_type_description FROM Ref_Incident_Type WHERE incident_type_code = "VIOLENCE"</SQL_QUERY> | behavior_monitoring | SELECT incident_type_description FROM Ref_Incident_Type WHERE incident_type_code = "VIOLENCE" | What is the incident type description for the incident type with code "VIOLENCE"? | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT max(monthly_rental) , min(monthly_rental) FROM Student_Addresses</SQL_QUERY> | behavior_monitoring | SELECT max(monthly_rental) , min(monthly_rental) FROM Student_Addresses | Find the maximum and minimum monthly rental for all student addresses. | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code... | <SQL_QUERY>SELECT first_name FROM Teachers WHERE email_address LIKE '%man%'</SQL_QUERY> | behavior_monitoring | SELECT first_name FROM Teachers WHERE email_address LIKE '%man%' | Find the first names of teachers whose email address contains the word "man". | [Schema (values) (types)]: | behavior_monitoring | Ref_Address_Types : address_type_code (text) , address_type_description (text) | Ref_Detention_Type : detention_type_code (text) , detention_type_description (text) | Ref_Incident_Type : incident_type_code (text) , incident_type_description (text) | Addresses : addres... | [Primary Keys]: ref_address_types : address_type_code, ref_detention_type : detention_type_code, ref_incident_type : incident_type_code, addresses : address_id, students : student_id, teachers : teacher_id, assessment_notes : incident_id, behavior_incident : detention_id | [Foreign Keys]: students : address_id = addresses : address_id | teachers : address_id = addresses : address_id | assessment_notes : teacher_id = teachers : teacher_id | assessment_notes : student_id = students : student_id | behavior_incident : student_id = students : student_id | behavior_incident : incident_type_cod... |
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