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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name FROM manufacturers WHERE revenue > (SELECT avg(revenue) FROM manufacturers)</SQL_QUERY> | manufactory_1 | SELECT name FROM manufacturers WHERE revenue > (SELECT avg(revenue) FROM manufacturers) | Find the name of companies whose revenue is greater than the average revenue of all companies. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name FROM manufacturers WHERE revenue > (SELECT avg(revenue) FROM manufacturers)</SQL_QUERY> | manufactory_1 | SELECT name FROM manufacturers WHERE revenue > (SELECT avg(revenue) FROM manufacturers) | What are the names of manufacturers with revenue greater than the average of all revenues? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name FROM manufacturers WHERE revenue < (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin')</SQL_QUERY> | manufactory_1 | SELECT name FROM manufacturers WHERE revenue < (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin') | Find the name of companies whose revenue is smaller than the revenue of all companies based in Austin. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name FROM manufacturers WHERE revenue < (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin')</SQL_QUERY> | manufactory_1 | SELECT name FROM manufacturers WHERE revenue < (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin') | What are the names of companies with revenue less than the lowest revenue of any manufacturer in Austin? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT sum(revenue) FROM manufacturers WHERE revenue > (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin')</SQL_QUERY> | manufactory_1 | SELECT sum(revenue) FROM manufacturers WHERE revenue > (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin') | Find the total revenue of companies whose revenue is larger than the revenue of some companies based in Austin. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT sum(revenue) FROM manufacturers WHERE revenue > (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin')</SQL_QUERY> | manufactory_1 | SELECT sum(revenue) FROM manufacturers WHERE revenue > (SELECT min(revenue) FROM manufacturers WHERE headquarter = 'Austin') | What is the total revenue of companies with revenue greater than the lowest revenue of any manufacturer in Austin? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT sum(revenue) , founder FROM manufacturers GROUP BY founder</SQL_QUERY> | manufactory_1 | SELECT sum(revenue) , founder FROM manufacturers GROUP BY founder | Find the total revenue of companies of each founder. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT sum(revenue) , founder FROM manufacturers GROUP BY founder</SQL_QUERY> | manufactory_1 | SELECT sum(revenue) , founder FROM manufacturers GROUP BY founder | What is the total revenue of companies started by founder? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name , max(revenue) , Headquarter FROM manufacturers GROUP BY Headquarter</SQL_QUERY> | manufactory_1 | SELECT name , max(revenue) , Headquarter FROM manufacturers GROUP BY Headquarter | Find the name and revenue of the company that earns the highest revenue in each city. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name , max(revenue) , Headquarter FROM manufacturers GROUP BY Headquarter</SQL_QUERY> | manufactory_1 | SELECT name , max(revenue) , Headquarter FROM manufacturers GROUP BY Headquarter | What are the names and revenues of the companies with the highest revenues in each headquarter city? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT sum(revenue) , name FROM manufacturers GROUP BY name</SQL_QUERY> | manufactory_1 | SELECT sum(revenue) , name FROM manufacturers GROUP BY name | Find the total revenue for each manufacturer. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT sum(revenue) , name FROM manufacturers GROUP BY name</SQL_QUERY> | manufactory_1 | SELECT sum(revenue) , name FROM manufacturers GROUP BY name | What is the total revenue of each manufacturer? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(T1.price) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name</SQL_QUERY> | manufactory_1 | SELECT avg(T1.price) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name | Find the average prices of all products from each manufacture, and list each company's name. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(T1.price) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name</SQL_QUERY> | manufactory_1 | SELECT avg(T1.price) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name | What are the average prices of products for each manufacturer? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT count(DISTINCT T1.name) , T2.Headquarter FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.Headquarter</SQL_QUERY> | manufactory_1 | SELECT count(DISTINCT T1.name) , T2.Headquarter FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.Headquarter | Find the number of different products that are produced by companies at different headquarter cities. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT count(DISTINCT T1.name) , T2.Headquarter FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.Headquarter</SQL_QUERY> | manufactory_1 | SELECT count(DISTINCT T1.name) , T2.Headquarter FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.Headquarter | How many different products are produced in each headquarter city? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT count(DISTINCT name) FROM products WHERE name NOT IN (SELECT T1.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T2.name = 'Sony')</SQL_QUERY> | manufactory_1 | SELECT count(DISTINCT name) FROM products WHERE name NOT IN (SELECT T1.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T2.name = 'Sony') | Find number of products which Sony does not make. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT count(DISTINCT name) FROM products WHERE name NOT IN (SELECT T1.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T2.name = 'Sony')</SQL_QUERY> | manufactory_1 | SELECT count(DISTINCT name) FROM products WHERE name NOT IN (SELECT T1.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T2.name = 'Sony') | How many products are not made by Sony? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name FROM manufacturers EXCEPT SELECT T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T1.name = 'DVD drive'</SQL_QUERY> | manufactory_1 | SELECT name FROM manufacturers EXCEPT SELECT T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T1.name = 'DVD drive' | Find the name of companies that do not make DVD drive. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name FROM manufacturers EXCEPT SELECT T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T1.name = 'DVD drive'</SQL_QUERY> | manufactory_1 | SELECT name FROM manufacturers EXCEPT SELECT T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code WHERE T1.name = 'DVD drive' | What are the names of companies that do not make DVD drives? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT count(*) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name</SQL_QUERY> | manufactory_1 | SELECT count(*) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name | Find the number of products for each manufacturer, showing the name of each company. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT count(*) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name</SQL_QUERY> | manufactory_1 | SELECT count(*) , T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name | How many products are there for each manufacturer? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT Name FROM Products</SQL_QUERY> | manufactory_1 | SELECT Name FROM Products | Select the names of all the products in the store. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT Name FROM Products</SQL_QUERY> | manufactory_1 | SELECT Name FROM Products | What are the names of all products? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name , price FROM products</SQL_QUERY> | manufactory_1 | SELECT name , price FROM products | Select the names and the prices of all the products in the store. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name , price FROM products</SQL_QUERY> | manufactory_1 | SELECT name , price FROM products | What are the names and prices of all products in the store? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name FROM products WHERE price <= 200</SQL_QUERY> | manufactory_1 | SELECT name FROM products WHERE price <= 200 | Select the name of the products with a price less than or equal to $200. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name FROM products WHERE price <= 200</SQL_QUERY> | manufactory_1 | SELECT name FROM products WHERE price <= 200 | What are the names of products with price at most 200? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT * FROM products WHERE price BETWEEN 60 AND 120</SQL_QUERY> | manufactory_1 | SELECT * FROM products WHERE price BETWEEN 60 AND 120 | Find all information of all the products with a price between $60 and $120. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT * FROM products WHERE price BETWEEN 60 AND 120</SQL_QUERY> | manufactory_1 | SELECT * FROM products WHERE price BETWEEN 60 AND 120 | What is all the information of all the products that have a price between 60 and 120? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(price) FROM products</SQL_QUERY> | manufactory_1 | SELECT avg(price) FROM products | Compute the average price of all the products. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(price) FROM products</SQL_QUERY> | manufactory_1 | SELECT avg(price) FROM products | What is the average price across all products? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(price) FROM products WHERE Manufacturer = 2</SQL_QUERY> | manufactory_1 | SELECT avg(price) FROM products WHERE Manufacturer = 2 | Compute the average price of all products with manufacturer code equal to 2. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(price) FROM products WHERE Manufacturer = 2</SQL_QUERY> | manufactory_1 | SELECT avg(price) FROM products WHERE Manufacturer = 2 | What is the average price of products with manufacturer codes equal to 2? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT count(*) FROM products WHERE price >= 180</SQL_QUERY> | manufactory_1 | SELECT count(*) FROM products WHERE price >= 180 | Compute the number of products with a price larger than or equal to $180. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT count(*) FROM products WHERE price >= 180</SQL_QUERY> | manufactory_1 | SELECT count(*) FROM products WHERE price >= 180 | How many products have prices of at least 180? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name , price FROM products WHERE price >= 180 ORDER BY price DESC , name ASC</SQL_QUERY> | manufactory_1 | SELECT name , price FROM products WHERE price >= 180 ORDER BY price DESC , name ASC | Select the name and price of all products with a price larger than or equal to $180, and sort first by price (in descending order), and then by name (in ascending order). | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name , price FROM products WHERE price >= 180 ORDER BY price DESC , name ASC</SQL_QUERY> | manufactory_1 | SELECT name , price FROM products WHERE price >= 180 ORDER BY price DESC , name ASC | What are the names and prices of products that cost at least 180, sorted by price decreasing and name ascending? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT * FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code</SQL_QUERY> | manufactory_1 | SELECT * FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code | Select all the data from the products and each product's manufacturer. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT * FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code</SQL_QUERY> | manufactory_1 | SELECT * FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code | What is all the product data, as well as each product's manufacturer? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT AVG(Price) , Manufacturer FROM Products GROUP BY Manufacturer</SQL_QUERY> | manufactory_1 | SELECT AVG(Price) , Manufacturer FROM Products GROUP BY Manufacturer | Select the average price of each manufacturer's products, showing only the manufacturer's code. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT AVG(Price) , Manufacturer FROM Products GROUP BY Manufacturer</SQL_QUERY> | manufactory_1 | SELECT AVG(Price) , Manufacturer FROM Products GROUP BY Manufacturer | What are the average prices of products, grouped by manufacturer code? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name</SQL_QUERY> | manufactory_1 | SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name | Select the average price of each manufacturer's products, showing the manufacturer's name. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name</SQL_QUERY> | manufactory_1 | SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name | What are the average prices of products, grouped by manufacturer name? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name HAVING avg(T1.price) >= 150</SQL_QUERY> | manufactory_1 | SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name HAVING avg(T1.price) >= 150 | Select the names of manufacturer whose products have an average price higher than or equal to $150. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name HAVING avg(T1.price) >= 150</SQL_QUERY> | manufactory_1 | SELECT avg(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name HAVING avg(T1.price) >= 150 | What are the names and average prices of products for manufacturers whose products cost on average 150 or more? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name , price FROM Products ORDER BY price ASC LIMIT 1</SQL_QUERY> | manufactory_1 | SELECT name , price FROM Products ORDER BY price ASC LIMIT 1 | Select the name and price of the cheapest product. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT name , price FROM Products ORDER BY price ASC LIMIT 1</SQL_QUERY> | manufactory_1 | SELECT name , price FROM Products ORDER BY price ASC LIMIT 1 | What is the name and price of the cheapest product? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT T1.Name , max(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name</SQL_QUERY> | manufactory_1 | SELECT T1.Name , max(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name | Select the name of each manufacturer along with the name and price of its most expensive product. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT T1.Name , max(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name</SQL_QUERY> | manufactory_1 | SELECT T1.Name , max(T1.Price) , T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name | For each manufacturer name, what are the names and prices of their most expensive product? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT code , name , min(price) FROM products GROUP BY name</SQL_QUERY> | manufactory_1 | SELECT code , name , min(price) FROM products GROUP BY name | Select the code of the product that is cheapest in each product category. | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | manufactory_1 | Manufacturers : code (text) , name (number)... | <SQL_QUERY>SELECT code , name , min(price) FROM products GROUP BY name</SQL_QUERY> | manufactory_1 | SELECT code , name , min(price) FROM products GROUP BY name | What are the codes and names of the cheapest products in each category? | [Schema (values) (types)]: | manufactory_1 | Manufacturers : code (text) , name (number) , headquarter (text) , founder (text) , revenue (text) | Products : code (text) , name (number) , price (text) , manufacturer (text); | [Primary Keys]: manufacturers : code, products : code | [Foreign Keys]: products : manufacturer = manufacturers : code |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_log_id FROM problem_log ORDER BY log_entry_date DESC LIMIT 1</SQL_QUERY> | tracking_software_problems | SELECT problem_log_id FROM problem_log ORDER BY log_entry_date DESC LIMIT 1 | What is the id of the problem log that is created most recently? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_log_id FROM problem_log ORDER BY log_entry_date DESC LIMIT 1</SQL_QUERY> | tracking_software_problems | SELECT problem_log_id FROM problem_log ORDER BY log_entry_date DESC LIMIT 1 | Which problem log was created most recently? Give me the log id. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_log_id , problem_id FROM problem_log ORDER BY log_entry_date LIMIT 1</SQL_QUERY> | tracking_software_problems | SELECT problem_log_id , problem_id FROM problem_log ORDER BY log_entry_date LIMIT 1 | What is the oldest log id and its corresponding problem id? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_log_id , problem_id FROM problem_log ORDER BY log_entry_date LIMIT 1</SQL_QUERY> | tracking_software_problems | SELECT problem_log_id , problem_id FROM problem_log ORDER BY log_entry_date LIMIT 1 | Find the oldest log id and its corresponding problem id. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_log_id , log_entry_date FROM problem_log WHERE problem_id = 10</SQL_QUERY> | tracking_software_problems | SELECT problem_log_id , log_entry_date FROM problem_log WHERE problem_id = 10 | Find all the ids and dates of the logs for the problem whose id is 10. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_log_id , log_entry_date FROM problem_log WHERE problem_id = 10</SQL_QUERY> | tracking_software_problems | SELECT problem_log_id , log_entry_date FROM problem_log WHERE problem_id = 10 | For the problem with id 10, return the ids and dates of its problem logs. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_log_id , log_entry_description FROM problem_log</SQL_QUERY> | tracking_software_problems | SELECT problem_log_id , log_entry_description FROM problem_log | List all the log ids and their descriptions from the problem logs. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_log_id , log_entry_description FROM problem_log</SQL_QUERY> | tracking_software_problems | SELECT problem_log_id , log_entry_description FROM problem_log | What are the log id and entry description of each problem? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT DISTINCT staff_first_name , staff_last_name FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T2.problem_id = 1</SQL_QUERY> | tracking_software_problems | SELECT DISTINCT staff_first_name , staff_last_name FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T2.problem_id = 1 | List the first and last names of all distinct staff members who are assigned to the problem whose id is 1. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT DISTINCT staff_first_name , staff_last_name FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T2.problem_id = 1</SQL_QUERY> | tracking_software_problems | SELECT DISTINCT staff_first_name , staff_last_name FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T2.problem_id = 1 | Which staff members are assigned to the problem with id 1? Give me their first and last names. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT DISTINCT T2.problem_id , T2.problem_log_id FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T1.staff_first_name = "Rylan" AND T1.staff_last_name = "Homenick"</SQL_QUERY> | tracking_software_problems | SELECT DISTINCT T2.problem_id , T2.problem_log_id FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T1.staff_first_name = "Rylan" AND T1.staff_last_name = "Homenick" | List the problem id and log id which are assigned to the staff named Rylan Homenick. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT DISTINCT T2.problem_id , T2.problem_log_id FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T1.staff_first_name = "Rylan" AND T1.staff_last_name = "Homenick"</SQL_QUERY> | tracking_software_problems | SELECT DISTINCT T2.problem_id , T2.problem_log_id FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T1.staff_first_name = "Rylan" AND T1.staff_last_name = "Homenick" | Which problem id and log id are assigned to the staff named Rylan Homenick? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT count(*) FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id WHERE T1.product_name = "voluptatem"</SQL_QUERY> | tracking_software_problems | SELECT count(*) FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id WHERE T1.product_name = "voluptatem" | How many problems are there for product voluptatem? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT count(*) FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id WHERE T1.product_name = "voluptatem"</SQL_QUERY> | tracking_software_problems | SELECT count(*) FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id WHERE T1.product_name = "voluptatem" | How many problems did the product called "voluptatem" have in record? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT count(*) , T1.product_name FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_name ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | tracking_software_problems | SELECT count(*) , T1.product_name FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_name ORDER BY count(*) DESC LIMIT 1 | How many problems does the product with the most problems have? List the number of the problems and product name. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT count(*) , T1.product_name FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_name ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | tracking_software_problems | SELECT count(*) , T1.product_name FROM product AS T1 JOIN problems AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_name ORDER BY count(*) DESC LIMIT 1 | Which product has the most problems? Give me the number of problems and the product name. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_description FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop"</SQL_QUERY> | tracking_software_problems | SELECT T1.problem_description FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" | Give me a list of descriptions of the problems that are reported by the staff whose first name is Christop. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_description FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop"</SQL_QUERY> | tracking_software_problems | SELECT T1.problem_description FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" | Which problems are reported by the staff with first name "Christop"? Show the descriptions of the problems. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_last_name = "Bosco"</SQL_QUERY> | tracking_software_problems | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_last_name = "Bosco" | Find the ids of the problems that are reported by the staff whose last name is Bosco. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_last_name = "Bosco"</SQL_QUERY> | tracking_software_problems | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_last_name = "Bosco" | Which problems are reported by the staff with last name "Bosco"? Show the ids of the problems. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_id FROM problems WHERE date_problem_reported > "1978-06-26"</SQL_QUERY> | tracking_software_problems | SELECT problem_id FROM problems WHERE date_problem_reported > "1978-06-26" | What are the ids of the problems which are reported after 1978-06-26? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_id FROM problems WHERE date_problem_reported > "1978-06-26"</SQL_QUERY> | tracking_software_problems | SELECT problem_id FROM problems WHERE date_problem_reported > "1978-06-26" | Find the ids of the problems reported after 1978-06-26. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_id FROM problems WHERE date_problem_reported < "1978-06-26"</SQL_QUERY> | tracking_software_problems | SELECT problem_id FROM problems WHERE date_problem_reported < "1978-06-26" | What are the ids of the problems which are reported before 1978-06-26? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT problem_id FROM problems WHERE date_problem_reported < "1978-06-26"</SQL_QUERY> | tracking_software_problems | SELECT problem_id FROM problems WHERE date_problem_reported < "1978-06-26" | Which problems are reported before 1978-06-26? Give me the ids of the problems. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_id</SQL_QUERY> | tracking_software_problems | SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_id | For each product which has problems, what are the number of problems and the product id? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_id</SQL_QUERY> | tracking_software_problems | SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_id | For each product with some problems, list the count of problems and the product id. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T1.date_problem_reported > "1986-11-13" GROUP BY T2.product_id</SQL_QUERY> | tracking_software_problems | SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T1.date_problem_reported > "1986-11-13" GROUP BY T2.product_id | For each product that has problems, find the number of problems reported after 1986-11-13 and the product id? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T1.date_problem_reported > "1986-11-13" GROUP BY T2.product_id</SQL_QUERY> | tracking_software_problems | SELECT count(*) , T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T1.date_problem_reported > "1986-11-13" GROUP BY T2.product_id | What are the products that have problems reported after 1986-11-13? Give me the product id and the count of problems reported after 1986-11-13. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT DISTINCT product_name FROM product ORDER BY product_name</SQL_QUERY> | tracking_software_problems | SELECT DISTINCT product_name FROM product ORDER BY product_name | List the names of all the distinct product names in alphabetical order? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT DISTINCT product_name FROM product ORDER BY product_name</SQL_QUERY> | tracking_software_problems | SELECT DISTINCT product_name FROM product ORDER BY product_name | Sort all the distinct product names in alphabetical order. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT DISTINCT product_name FROM product ORDER BY product_id</SQL_QUERY> | tracking_software_problems | SELECT DISTINCT product_name FROM product ORDER BY product_id | List all the distinct product names ordered by product id? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT DISTINCT product_name FROM product ORDER BY product_id</SQL_QUERY> | tracking_software_problems | SELECT DISTINCT product_name FROM product ORDER BY product_id | What is the list of distinct product names sorted by product id? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Dameon" AND T2.staff_last_name = "Frami" UNION SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Jolie" AND T... | tracking_software_problems | SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Dameon" AND T2.staff_last_name = "Frami" UNION SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Jolie" AND T2.staff_las... | What are the id of problems reported by the staff named Dameon Frami or Jolie Weber? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Dameon" AND T2.staff_last_name = "Frami" UNION SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Jolie" AND T... | tracking_software_problems | SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Dameon" AND T2.staff_last_name = "Frami" UNION SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Jolie" AND T2.staff_las... | Which problems were reported by the staff named Dameon Frami or Jolie Weber? Give me the ids of the problems. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" AND T2.staff_last_name = "Berge" INTERSECT SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.closure_authorised_by_staff_id = T2.staff_id WHERE T2.staff_first_name... | tracking_software_problems | SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" AND T2.staff_last_name = "Berge" INTERSECT SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.closure_authorised_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Ashley"... | What are the product ids for the problems reported by Christop Berge with closure authorised by Ashley Medhurst? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" AND T2.staff_last_name = "Berge" INTERSECT SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.closure_authorised_by_staff_id = T2.staff_id WHERE T2.staff_first_name... | tracking_software_problems | SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" AND T2.staff_last_name = "Berge" INTERSECT SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.closure_authorised_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Ashley"... | For which product was there a problem reported by Christop Berge, with closure authorised by Ashley Medhurst? Return the product ids. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported < ( SELECT min(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Lysanne" AND T4.staff_last_name = "... | tracking_software_problems | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported < ( SELECT min(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Lysanne" AND T4.staff_last_name = "Turcotte" ) | What are the ids of the problems reported before the date of any problem reported by Lysanne Turcotte? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported < ( SELECT min(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Lysanne" AND T4.staff_last_name = "... | tracking_software_problems | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported < ( SELECT min(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Lysanne" AND T4.staff_last_name = "Turcotte" ) | Which problems were reported before the date of any problem reported by the staff Lysanne Turcotte? Give me the ids of the problems. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported > ( SELECT max(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Rylan" AND T4.staff_last_name = "Ho... | tracking_software_problems | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported > ( SELECT max(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Rylan" AND T4.staff_last_name = "Homenick" ) | What are the ids of the problems reported after the date of any problems reported by Rylan Homenick? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported > ( SELECT max(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Rylan" AND T4.staff_last_name = "Ho... | tracking_software_problems | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported > ( SELECT max(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Rylan" AND T4.staff_last_name = "Homenick" ) | Find the ids of the problems reported after the date of any problems reported by the staff Rylan Homenick. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name ORDER BY count(*) DESC LIMIT 3</SQL_QUERY> | tracking_software_problems | SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name ORDER BY count(*) DESC LIMIT 3 | Find the top 3 products which have the largest number of problems? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name ORDER BY count(*) DESC LIMIT 3</SQL_QUERY> | tracking_software_problems | SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name ORDER BY count(*) DESC LIMIT 3 | What are the three products that have the most problems?s | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T2.product_name = "voluptatem" AND T1.date_problem_reported > "1995"</SQL_QUERY> | tracking_software_problems | SELECT T1.problem_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T2.product_name = "voluptatem" AND T1.date_problem_reported > "1995" | List the ids of the problems from the product "voluptatem" that are reported after 1995? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T1.problem_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T2.product_name = "voluptatem" AND T1.date_problem_reported > "1995"</SQL_QUERY> | tracking_software_problems | SELECT T1.problem_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T2.product_name = "voluptatem" AND T1.date_problem_reported > "1995" | What are the ids of the problems that are from the product "voluptatem" and are reported after 1995? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "rem" EXCEPT SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN... | tracking_software_problems | SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "rem" EXCEPT SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T... | Find the first and last name of the staff members who reported problems from the product "rem" but not "aut"? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "rem" EXCEPT SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN... | tracking_software_problems | SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "rem" EXCEPT SELECT T3.staff_first_name , T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T... | Which staff members who reported problems from the product "rem" but not "aut"? Give me their first and last names. | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T3.staff_first_name = "Lacey" AND T3.staff_last_name = "Bosco" INTERSECT SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS ... | tracking_software_problems | SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T3.staff_first_name = "Lacey" AND T3.staff_last_name = "Bosco" INTERSECT SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.pr... | Find the products which have problems reported by both Lacey Bosco and Kenton Champlin? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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)]: | tracking_software_problems | Problem_Category_Codes : probl... | <SQL_QUERY>SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T3.staff_first_name = "Lacey" AND T3.staff_last_name = "Bosco" INTERSECT SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS ... | tracking_software_problems | SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T3.staff_first_name = "Lacey" AND T3.staff_last_name = "Bosco" INTERSECT SELECT T2.product_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.pr... | Which products have problems reported by both the staff named Lacey Bosco and the staff named Kenton Champlin? | [Schema (values) (types)]: | tracking_software_problems | Problem_Category_Codes : problem_category_code (text) , problem_category_description (text) | Problem_Log : problem_log_id (text) , assigned_to_staff_id (text) , problem_id (text) , problem_category_code (number) , problem_status_code (number) , log_entry_date ... | [Primary Keys]: problem_category_codes : problem_category_code, problem_log : problem_log_id, problem_status_codes : problem_status_code, product : product_id, staff : staff_id, problems : problem_id | [Foreign Keys]: problem_log : problem_status_code = problem_status_codes : problem_status_code | problem_log : problem_id = problems : problem_id | problem_log : assigned_to_staff_id = staff : staff_id | problem_log : problem_category_code = problem_category_codes : problem_category_code | problems : reported_by_staff_... |
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