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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Store_Name FROM Drama_Workshop_Groups</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Store_Name FROM Drama_Workshop_Groups | Show all the Store_Name of drama workshop groups. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Store_Name FROM Drama_Workshop_Groups</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Store_Name FROM Drama_Workshop_Groups | What are the store names of drama workshop groups? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT min(Order_Quantity) , avg(Order_Quantity) , max(Order_Quantity) FROM INVOICES</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT min(Order_Quantity) , avg(Order_Quantity) , max(Order_Quantity) FROM INVOICES | Show the minimum, average, maximum order quantity of all invoices. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT min(Order_Quantity) , avg(Order_Quantity) , max(Order_Quantity) FROM INVOICES</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT min(Order_Quantity) , avg(Order_Quantity) , max(Order_Quantity) FROM INVOICES | What are the minimum, average, and maximum quantities ordered? Check all the invoices. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT DISTINCT payment_method_code FROM INVOICES</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT DISTINCT payment_method_code FROM INVOICES | What are the distinct payment method codes in all the invoices? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT DISTINCT payment_method_code FROM INVOICES</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT DISTINCT payment_method_code FROM INVOICES | Show me the distinct payment method codes from the invoice record. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Marketing_Region_Descriptrion FROM Marketing_Regions WHERE Marketing_Region_Name = "China"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Marketing_Region_Descriptrion FROM Marketing_Regions WHERE Marketing_Region_Name = "China" | What is the description of the marketing region China? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Marketing_Region_Descriptrion FROM Marketing_Regions WHERE Marketing_Region_Name = "China"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Marketing_Region_Descriptrion FROM Marketing_Regions WHERE Marketing_Region_Name = "China" | Find the marketing region description of China? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT DISTINCT Product_Name FROM PRODUCTS WHERE Product_Price > (SELECT avg(Product_Price) FROM PRODUCTS)</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT DISTINCT Product_Name FROM PRODUCTS WHERE Product_Price > (SELECT avg(Product_Price) FROM PRODUCTS) | Show all the distinct product names with price higher than the average. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT DISTINCT Product_Name FROM PRODUCTS WHERE Product_Price > (SELECT avg(Product_Price) FROM PRODUCTS)</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT DISTINCT Product_Name FROM PRODUCTS WHERE Product_Price > (SELECT avg(Product_Price) FROM PRODUCTS) | What are the distinct names of the products that cost more than the average? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_Name FROM PRODUCTS ORDER BY Product_Price DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_Name FROM PRODUCTS ORDER BY Product_Price DESC LIMIT 1 | What is the name of the most expensive product? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_Name FROM PRODUCTS ORDER BY Product_Price DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_Name FROM PRODUCTS ORDER BY Product_Price DESC LIMIT 1 | Tell me the name of the most pricy product. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_Name FROM Products ORDER BY Product_Price ASC</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_Name FROM Products ORDER BY Product_Price ASC | List all product names in ascending order of price. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_Name FROM Products ORDER BY Product_Price ASC</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_Name FROM Products ORDER BY Product_Price ASC | Sort the names of products in ascending order of their price. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Customer_Phone FROM PERFORMERS WHERE Customer_Name = "Ashley"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Customer_Phone FROM PERFORMERS WHERE Customer_Name = "Ashley" | What is the phone number of the performer Ashley? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Customer_Phone FROM PERFORMERS WHERE Customer_Name = "Ashley"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Customer_Phone FROM PERFORMERS WHERE Customer_Name = "Ashley" | Find the phone number of performer "Ashley". | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT payment_method_code , count(*) FROM INVOICES GROUP BY payment_method_code</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT payment_method_code , count(*) FROM INVOICES GROUP BY payment_method_code | Show all payment method codes and the number of orders for each code. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT payment_method_code , count(*) FROM INVOICES GROUP BY payment_method_code</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT payment_method_code , count(*) FROM INVOICES GROUP BY payment_method_code | List the distinct payment method codes with the number of orders made | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT payment_method_code FROM INVOICES GROUP BY payment_method_code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT payment_method_code FROM INVOICES GROUP BY payment_method_code ORDER BY count(*) DESC LIMIT 1 | What is the payment method code used by the most orders? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT payment_method_code FROM INVOICES GROUP BY payment_method_code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT payment_method_code FROM INVOICES GROUP BY payment_method_code ORDER BY count(*) DESC LIMIT 1 | Find the payment method that is used the most often in all the invoices. Give me its code. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.City_Town FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Store_Name = "FJA Filming"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.City_Town FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Store_Name = "FJA Filming" | Which city is the address of the store named "FJA Filming" located in? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.City_Town FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Store_Name = "FJA Filming"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.City_Town FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Store_Name = "FJA Filming" | Find the city the store named "FJA Filming" is in. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.State_County FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Marketing_Region_Code = "CA"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.State_County FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Marketing_Region_Code = "CA" | What are the states or counties of the address of the stores with marketing region code "CA"? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.State_County FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Marketing_Region_Code = "CA"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.State_County FROM Addresses AS T1 JOIN Stores AS T2 ON T1.Address_ID = T2.Address_ID WHERE T2.Marketing_Region_Code = "CA" | Find the states or counties where the stores with marketing region code "CA" are located. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Marketing_Region_Name FROM Marketing_Regions AS T1 JOIN Stores AS T2 ON T1.Marketing_Region_Code = T2.Marketing_Region_Code WHERE T2.Store_Name = "Rob Dinning"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Marketing_Region_Name FROM Marketing_Regions AS T1 JOIN Stores AS T2 ON T1.Marketing_Region_Code = T2.Marketing_Region_Code WHERE T2.Store_Name = "Rob Dinning" | What is the name of the marketing region that the store Rob Dinning belongs to? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Marketing_Region_Name FROM Marketing_Regions AS T1 JOIN Stores AS T2 ON T1.Marketing_Region_Code = T2.Marketing_Region_Code WHERE T2.Store_Name = "Rob Dinning"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Marketing_Region_Name FROM Marketing_Regions AS T1 JOIN Stores AS T2 ON T1.Marketing_Region_Code = T2.Marketing_Region_Code WHERE T2.Store_Name = "Rob Dinning" | Return the name of the marketing region the store Rob Dinning is located in. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Price > 100</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Price > 100 | What are the descriptions of the service types with product price above 100? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Price > 100</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Price > 100 | Give me the descriptions of the service types that cost more than 100. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Service_Type_Description , T2.Service_Type_Code , COUNT(*) FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T2.Service_Type_Code</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Service_Type_Description , T2.Service_Type_Code , COUNT(*) FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T2.Service_Type_Code | What is the description, code and the corresponding count of each service type? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Service_Type_Description , T2.Service_Type_Code , COUNT(*) FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T2.Service_Type_Code</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Service_Type_Description , T2.Service_Type_Code , COUNT(*) FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T2.Service_Type_Code | List the description, code and the number of services for each service type. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Service_Type_Description , T1.Service_Type_Code FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T1.Service_Type_Code ORDER BY COUNT(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Service_Type_Description , T1.Service_Type_Code FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T1.Service_Type_Code ORDER BY COUNT(*) DESC LIMIT 1 | What is the description and code of the type of service that is performed the most often? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Service_Type_Description , T1.Service_Type_Code FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T1.Service_Type_Code ORDER BY COUNT(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Service_Type_Description , T1.Service_Type_Code FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code GROUP BY T1.Service_Type_Code ORDER BY COUNT(*) DESC LIMIT 1 | Find the description and code of the service type that is performed the most times. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID | What are the phones and emails of workshop groups in which services are performed? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID | Give me all the phone numbers and email addresses of the workshop groups where services are performed. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T2.Product_Name = "film"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T2.Product_Name = "film" | What are the names of workshop groups in which services with product name "film" are performed? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T2.Product_Name = "film"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Store_Phone , T1.Store_Email_Address FROM Drama_Workshop_Groups AS T1 JOIN Services AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T2.Product_Name = "film" | Find the names of the workshop groups where services with product name "film" are performed. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_Name , avg(Product_Price) FROM PRODUCTS GROUP BY Product_Name</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_Name , avg(Product_Price) FROM PRODUCTS GROUP BY Product_Name | What are the different product names? What is the average product price for each of them? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_Name , avg(Product_Price) FROM PRODUCTS GROUP BY Product_Name</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_Name , avg(Product_Price) FROM PRODUCTS GROUP BY Product_Name | For each distinct product name, show its average product price. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_Name FROM PRODUCTS GROUP BY Product_Name HAVING avg(Product_Price) < 1000000</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_Name FROM PRODUCTS GROUP BY Product_Name HAVING avg(Product_Price) < 1000000 | What are the product names with average product price smaller than 1000000? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_Name FROM PRODUCTS GROUP BY Product_Name HAVING avg(Product_Price) < 1000000</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_Name FROM PRODUCTS GROUP BY Product_Name HAVING avg(Product_Price) < 1000000 | Find the product names whose average product price is below 1000000. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT sum(T1.Order_Quantity) FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_Name = "photo"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT sum(T1.Order_Quantity) FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_Name = "photo" | What are the total order quantities of photo products? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT sum(T1.Order_Quantity) FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_Name = "photo"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT sum(T1.Order_Quantity) FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_Name = "photo" | Compute the total order quantities of the product "photo". | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Other_Item_Details FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_price > 2000</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Other_Item_Details FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_price > 2000 | What are the order details of the products with price higher than 2000? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Other_Item_Details FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_price > 2000</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Other_Item_Details FROM ORDER_ITEMS AS T1 JOIN Products AS T2 ON T1.Product_ID = T2.Product_ID WHERE T2.Product_price > 2000 | Find the order detail for the products with price above 2000. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Actual_Delivery_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID WHERE T2.Order_Quantity = 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Actual_Delivery_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID WHERE T2.Order_Quantity = 1 | What are the actual delivery dates of orders with quantity 1? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Actual_Delivery_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID WHERE T2.Order_Quantity = 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Actual_Delivery_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID WHERE T2.Order_Quantity = 1 | List the actual delivery date for all the orders with quantity 1 | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Order_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID JOIN Products AS T3 ON T2.Product_ID = T3.Product_ID WHERE T3.Product_price > 1000</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Order_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID JOIN Products AS T3 ON T2.Product_ID = T3.Product_ID WHERE T3.Product_price > 1000 | What are the order dates of orders with price higher than 1000? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Order_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID JOIN Products AS T3 ON T2.Product_ID = T3.Product_ID WHERE T3.Product_price > 1000</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.Order_Date FROM Customer_Orders AS T1 JOIN ORDER_ITEMS AS T2 ON T1.Order_ID = T2.Order_ID JOIN Products AS T3 ON T2.Product_ID = T3.Product_ID WHERE T3.Product_price > 1000 | Find the order dates of the orders with price above 1000. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT count(DISTINCT Currency_Code) FROM Drama_Workshop_Groups</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT count(DISTINCT Currency_Code) FROM Drama_Workshop_Groups | How many distinct currency codes are there for all drama workshop groups? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT count(DISTINCT Currency_Code) FROM Drama_Workshop_Groups</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT count(DISTINCT Currency_Code) FROM Drama_Workshop_Groups | Find the number of distinct currency codes used in drama workshop groups. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T2.Store_Name FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.City_Town = "Feliciaberg"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T2.Store_Name FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.City_Town = "Feliciaberg" | What are the names of the drama workshop groups with address in Feliciaberg city? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T2.Store_Name FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.City_Town = "Feliciaberg"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T2.Store_Name FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.City_Town = "Feliciaberg" | Return the the names of the drama workshop groups that are located in Feliciaberg city. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T2.Store_Email_Address FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.State_County = "Alaska"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T2.Store_Email_Address FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.State_County = "Alaska" | What are the email addresses of the drama workshop groups with address in Alaska state? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T2.Store_Email_Address FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.State_County = "Alaska"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T2.Store_Email_Address FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.State_County = "Alaska" | List the email addresses of the drama workshop groups located in Alaska state. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.City_Town , count(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.City_Town , count(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town | Show all cities along with the number of drama workshop groups in each city. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.City_Town , count(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.City_Town , count(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town | How many drama workshop groups are there in each city? Return both the city and the count. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Marketing_Region_Code FROM Drama_Workshop_Groups GROUP BY Marketing_Region_Code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Marketing_Region_Code FROM Drama_Workshop_Groups GROUP BY Marketing_Region_Code ORDER BY count(*) DESC LIMIT 1 | What is the marketing region code that has the most drama workshop groups? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Marketing_Region_Code FROM Drama_Workshop_Groups GROUP BY Marketing_Region_Code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Marketing_Region_Code FROM Drama_Workshop_Groups GROUP BY Marketing_Region_Code ORDER BY count(*) DESC LIMIT 1 | Which marketing region has the most drama workshop groups? Give me the region code. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.City_Town FROM Addresses AS T1 JOIN Customers AS T2 ON T1.Address_ID = T2.Address_ID EXCEPT SELECT T1.City_Town FROM Addresses AS T1 JOIN Performers AS T2 ON T1.Address_ID = T2.Address_ID</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.City_Town FROM Addresses AS T1 JOIN Customers AS T2 ON T1.Address_ID = T2.Address_ID EXCEPT SELECT T1.City_Town FROM Addresses AS T1 JOIN Performers AS T2 ON T1.Address_ID = T2.Address_ID | Show all cities where at least one customer lives in but no performer lives in. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.City_Town FROM Addresses AS T1 JOIN Customers AS T2 ON T1.Address_ID = T2.Address_ID EXCEPT SELECT T1.City_Town FROM Addresses AS T1 JOIN Performers AS T2 ON T1.Address_ID = T2.Address_ID</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T1.City_Town FROM Addresses AS T1 JOIN Customers AS T2 ON T1.Address_ID = T2.Address_ID EXCEPT SELECT T1.City_Town FROM Addresses AS T1 JOIN Performers AS T2 ON T1.Address_ID = T2.Address_ID | Which cities have at least one customer but no performer? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Status_Code FROM BOOKINGS GROUP BY Status_Code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Status_Code FROM BOOKINGS GROUP BY Status_Code ORDER BY count(*) DESC LIMIT 1 | What is the most frequent status of bookings? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Status_Code FROM BOOKINGS GROUP BY Status_Code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Status_Code FROM BOOKINGS GROUP BY Status_Code ORDER BY count(*) DESC LIMIT 1 | Which status code is the most common of all the bookings? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T2.Store_Name FROM Bookings AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T1.Status_Code = "stop"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T2.Store_Name FROM Bookings AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T1.Status_Code = "stop" | What are the names of the workshop groups that have bookings with status code "stop"? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T2.Store_Name FROM Bookings AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T1.Status_Code = "stop"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT T2.Store_Name FROM Bookings AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Workshop_Group_ID = T2.Workshop_Group_ID WHERE T1.Status_Code = "stop" | Which workshop groups have bookings with status code "stop"? Give me the names. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Customer_Name FROM Clients EXCEPT SELECT T2.Customer_Name FROM Bookings AS T1 JOIN Clients AS T2 ON T1.Customer_ID = T2.Client_ID</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Customer_Name FROM Clients EXCEPT SELECT T2.Customer_Name FROM Bookings AS T1 JOIN Clients AS T2 ON T1.Customer_ID = T2.Client_ID | Show the names of all the clients with no booking. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Customer_Name FROM Clients EXCEPT SELECT T2.Customer_Name FROM Bookings AS T1 JOIN Clients AS T2 ON T1.Customer_ID = T2.Client_ID</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Customer_Name FROM Clients EXCEPT SELECT T2.Customer_Name FROM Bookings AS T1 JOIN Clients AS T2 ON T1.Customer_ID = T2.Client_ID | What are the names of the clients who do not have any booking? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT avg(Order_Quantity) FROM Invoices WHERE payment_method_code = "MasterCard"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT avg(Order_Quantity) FROM Invoices WHERE payment_method_code = "MasterCard" | What is the average quantities ordered with payment method code "MasterCard" on invoices? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT avg(Order_Quantity) FROM Invoices WHERE payment_method_code = "MasterCard"</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT avg(Order_Quantity) FROM Invoices WHERE payment_method_code = "MasterCard" | Check the invoices record and compute the average quantities ordered with the payment method "MasterCard". | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_ID FROM INVOICES GROUP BY Product_ID ORDER BY COUNT(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_ID FROM INVOICES GROUP BY Product_ID ORDER BY COUNT(*) DESC LIMIT 1 | What is the product ID of the most frequently ordered item on invoices? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT Product_ID FROM INVOICES GROUP BY Product_ID ORDER BY COUNT(*) DESC LIMIT 1</SQL_QUERY> | cre_Drama_Workshop_Groups | SELECT Product_ID FROM INVOICES GROUP BY Product_ID ORDER BY COUNT(*) DESC LIMIT 1 | Find the id of the product ordered the most often on invoices. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Name = 'photo' INTERSECT SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code... | cre_Drama_Workshop_Groups | SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Name = 'photo' INTERSECT SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.P... | What is the description of the service type which offers both the photo product and the film product? | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_m... | <SQL_QUERY>SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Name = 'photo' INTERSECT SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code... | cre_Drama_Workshop_Groups | SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Name = 'photo' INTERSECT SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.P... | Give me the description of the service type that offers not only the photo product but also the film product. | [Schema (values) (types)]: | cre_Drama_Workshop_Groups | Ref_Payment_Methods : payment_method_code (text) , payment_method_description (text) | Ref_Service_Types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | Addresses : address_id (text) , line_1 (text) , line_2 (text... | [Primary Keys]: ref_payment_methods : payment_method_code, ref_service_types : service_type_code, addresses : address_id, products : product_id, marketing_regions : marketing_region_code, clients : client_id, drama_workshop_groups : workshop_group_id, performers : performer_id, customers : customer_id, stores : store_i... | [Foreign Keys]: clients : address_id = addresses : address_id | drama_workshop_groups : address_id = addresses : address_id | performers : address_id = addresses : address_id | customers : address_id = addresses : address_id | stores : marketing_region_code = marketing_regions : marketing_region_code | stores : address... |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT count(*) FROM Band</SQL_QUERY> | music_2 | SELECT count(*) FROM Band | How many bands are there? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT count(*) FROM Band</SQL_QUERY> | music_2 | SELECT count(*) FROM Band | Find the number of bands. | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT DISTINCT label FROM Albums</SQL_QUERY> | music_2 | SELECT DISTINCT label FROM Albums | What are all the labels? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT DISTINCT label FROM Albums</SQL_QUERY> | music_2 | SELECT DISTINCT label FROM Albums | What are the different album labels listed? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT * FROM Albums WHERE YEAR = 2012</SQL_QUERY> | music_2 | SELECT * FROM Albums WHERE YEAR = 2012 | Find all the albums in 2012. | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT * FROM Albums WHERE YEAR = 2012</SQL_QUERY> | music_2 | SELECT * FROM Albums WHERE YEAR = 2012 | return all columns of the albums created in the year of 2012. | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT DISTINCT T1.stageposition FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id WHERE Firstname = "Solveig"</SQL_QUERY> | music_2 | SELECT DISTINCT T1.stageposition FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id WHERE Firstname = "Solveig" | Find all the stage positions of the musicians with first name "Solveig" | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT DISTINCT T1.stageposition FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id WHERE Firstname = "Solveig"</SQL_QUERY> | music_2 | SELECT DISTINCT T1.stageposition FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id WHERE Firstname = "Solveig" | What are the different stage positions for all musicians whose first name is "Solveig"? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT count(*) FROM Songs</SQL_QUERY> | music_2 | SELECT count(*) FROM Songs | How many songs are there? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT count(*) FROM Songs</SQL_QUERY> | music_2 | SELECT count(*) FROM Songs | Count the number of songs. | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T3.Title FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T2.Lastname = "Heilo"</SQL_QUERY> | music_2 | SELECT T3.Title FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T2.Lastname = "Heilo" | Find all the songs performed by artist with last name "Heilo" | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T3.Title FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T2.Lastname = "Heilo"</SQL_QUERY> | music_2 | SELECT T3.Title FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T2.Lastname = "Heilo" | What are the names of the songs by the artist whose last name is "Heilo"? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT count(*) FROM performance AS T1 JOIN band AS T2 ON T1.bandmate = T2.id JOIN songs AS T3 ON T3.songid = T1.songid WHERE T3.Title = "Flash"</SQL_QUERY> | music_2 | SELECT count(*) FROM performance AS T1 JOIN band AS T2 ON T1.bandmate = T2.id JOIN songs AS T3 ON T3.songid = T1.songid WHERE T3.Title = "Flash" | Hom many musicians performed in the song "Flash"? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT count(*) FROM performance AS T1 JOIN band AS T2 ON T1.bandmate = T2.id JOIN songs AS T3 ON T3.songid = T1.songid WHERE T3.Title = "Flash"</SQL_QUERY> | music_2 | SELECT count(*) FROM performance AS T1 JOIN band AS T2 ON T1.bandmate = T2.id JOIN songs AS T3 ON T3.songid = T1.songid WHERE T3.Title = "Flash" | How many musicians play in the song "Flash"? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T3.Title FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T2.firstname = "Marianne"</SQL_QUERY> | music_2 | SELECT T3.Title FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T2.firstname = "Marianne" | Find all the songs produced by artists with first name "Marianne". | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T3.Title FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T2.firstname = "Marianne"</SQL_QUERY> | music_2 | SELECT T3.Title FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T2.firstname = "Marianne" | What are the names of all songs produced by the artist with the first name "Marianne"? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands"</SQL_QUERY> | music_2 | SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands" | Who performed the song named "Badlands"? Show the first name and the last name. | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands"</SQL_QUERY> | music_2 | SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands" | What are the first and last names of the artist who perfomed the song "Badlands"? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands" AND T1.StagePosition = "back"</SQL_QUERY> | music_2 | SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands" AND T1.StagePosition = "back" | Who is performing in the back stage position for the song "Badlands"? Show the first name and the last name. | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands" AND T1.StagePosition = "back"</SQL_QUERY> | music_2 | SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Badlands" AND T1.StagePosition = "back" | What are the first and last names of the performer who was in the back stage position for the song "Badlands"? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT count(DISTINCT label) FROM albums</SQL_QUERY> | music_2 | SELECT count(DISTINCT label) FROM albums | How many unique labels are there for albums? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT count(DISTINCT label) FROM albums</SQL_QUERY> | music_2 | SELECT count(DISTINCT label) FROM albums | What are the unique labels for the albums? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT label FROM albums GROUP BY label ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | music_2 | SELECT label FROM albums GROUP BY label ORDER BY count(*) DESC LIMIT 1 | What is the label that has the most albums? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT label FROM albums GROUP BY label ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | music_2 | SELECT label FROM albums GROUP BY label ORDER BY count(*) DESC LIMIT 1 | What is the label with the most albums? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY lastname ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | music_2 | SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY lastname ORDER BY count(*) DESC LIMIT 1 | What is the last name of the musician that have produced the most number of songs? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY lastname ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | music_2 | SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY lastname ORDER BY count(*) DESC LIMIT 1 | What is the last name of the musician who was in the most songs? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id WHERE stageposition = "back" GROUP BY lastname ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | music_2 | SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id WHERE stageposition = "back" GROUP BY lastname ORDER BY count(*) DESC LIMIT 1 | What is the last name of the musician that has been at the back position the most? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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)]: | music_2 | Songs : songid (text) , title (number) | Albums :... | <SQL_QUERY>SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id WHERE stageposition = "back" GROUP BY lastname ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | music_2 | SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id WHERE stageposition = "back" GROUP BY lastname ORDER BY count(*) DESC LIMIT 1 | What is the last name of the musicians who has played back position the most? | [Schema (values) (types)]: | music_2 | Songs : songid (text) , title (number) | Albums : aid (text) , title (number) , year (text) , label (number) , type (text) | Band : id (text) , firstname (number) , lastname (text) | Instruments : songid (text) , bandmateid (number) , instrument (text) | Performance : songid (tex... | [Primary Keys]: songs : songid, albums : aid, band : id, instruments : songid, performance : songid, tracklists : albumid, vocals : songid | [Foreign Keys]: instruments : bandmateid = band : id | instruments : songid = songs : songid | performance : bandmate = band : id | performance : songid = songs : songid | tracklists : albumid = albums : aid | tracklists : songid = songs : songid | vocals : bandmate = band : id | vocals : songid = songs : songid |
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