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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)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many heads of the departments are older than 56 ?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM head WHERE age > 56</SQL_QUERY> | department_management | SELECT count(*) FROM head WHERE age > 56 | How many heads of the departments are older than 56 ? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the name, born state and age of the heads of departments ordered by age.</question>
[SQL]:
| <SQL_QUERY>SELECT name , born_state , age FROM head ORDER BY age</SQL_QUERY> | department_management | SELECT name , born_state , age FROM head ORDER BY age | List the name, born state and age of the heads of departments ordered by age. | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the creation year, name and budget of each department.</question>
[SQL]:
| <SQL_QUERY>SELECT creation , name , budget_in_billions FROM department</SQL_QUERY> | department_management | SELECT creation , name , budget_in_billions FROM department | List the creation year, name and budget of each department. | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the maximum and minimum budget of the departments?</question>
[SQL]:
| <SQL_QUERY>SELECT max(budget_in_billions) , min(budget_in_billions) FROM department</SQL_QUERY> | department_management | SELECT max(budget_in_billions) , min(budget_in_billions) FROM department | What are the maximum and minimum budget of the departments? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the average number of employees of the departments whose rank is between 10 and 15?</question>
[SQL]:
| <SQL_QUERY>SELECT avg(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15</SQL_QUERY> | department_management | SELECT avg(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15 | What is the average number of employees of the departments whose rank is between 10 and 15? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of the heads who are born outside the California state?</question>
[SQL]:
| <SQL_QUERY>SELECT name FROM head WHERE born_state != 'California'</SQL_QUERY> | department_management | SELECT name FROM head WHERE born_state != 'California' | What are the names of the heads who are born outside the California state? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT T1.creation FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T3.born_state = 'Alabama'</SQL_QUERY> | department_management | SELECT DISTINCT T1.creation FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T3.born_state = 'Alabama' | What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of the states where at least 3 heads were born?</question>
[SQL]:
| <SQL_QUERY>SELECT born_state FROM head GROUP BY born_state HAVING count(*) >= 3</SQL_QUERY> | department_management | SELECT born_state FROM head GROUP BY born_state HAVING count(*) >= 3 | What are the names of the states where at least 3 heads were born? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>In which year were most departments established?</question>
[SQL]:
| <SQL_QUERY>SELECT creation FROM department GROUP BY creation ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | department_management | SELECT creation FROM department GROUP BY creation ORDER BY count(*) DESC LIMIT 1 | In which year were most departments established? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.name , T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes'</SQL_QUERY> | department_management | SELECT T1.name , T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes' | Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many acting statuses are there?</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT temporary_acting) FROM management</SQL_QUERY> | department_management | SELECT count(DISTINCT temporary_acting) FROM management | How many acting statuses are there? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many departments are led by heads who are not mentioned?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM department WHERE department_id NOT IN (SELECT department_id FROM management);</SQL_QUERY> | department_management | SELECT count(*) FROM department WHERE department_id NOT IN (SELECT department_id FROM management); | How many departments are led by heads who are not mentioned? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the distinct ages of the heads who are acting?</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT T1.age FROM management AS T2 JOIN head AS T1 ON T1.head_id = T2.head_id WHERE T2.temporary_acting = 'Yes'</SQL_QUERY> | department_management | SELECT DISTINCT T1.age FROM management AS T2 JOIN head AS T1 ON T1.head_id = T2.head_id WHERE T2.temporary_acting = 'Yes' | What are the distinct ages of the heads who are acting? | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the states where both the secretary of 'Treasury' department and the secretary of 'Homeland Security' were born.</question>
[SQL]:
| <SQL_QUERY>SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Treasury' INTERSECT SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Homeland Security'</SQL_QUERY> | department_management | SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Treasury' INTERSECT SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Homeland Security' | List the states where both the secretary of 'Treasury' department and the secretary of 'Homeland Security' were born. | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which department has more than 1 head at a time? List the id, name and the number of heads.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.department_id , T1.name , count(*) FROM management AS T2 JOIN department AS T1 ON T1.department_id = T2.department_id GROUP BY T1.department_id HAVING count(*) > 1</SQL_QUERY> | department_management | SELECT T1.department_id , T1.name , count(*) FROM management AS T2 JOIN department AS T1 ON T1.department_id = T2.department_id GROUP BY T1.department_id HAVING count(*) > 1 | Which department has more than 1 head at a time? List the id, name and the number of heads. | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text);</schema>"
<primary_keys>[Primary Keys]: department : department_id, head : head_id, management : department_id</primary_keys>"
<foreign_keys>[Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which head's name has the substring 'Ha'? List the id and name.</question>
[SQL]:
| <SQL_QUERY>SELECT head_id , name FROM head WHERE name LIKE '%Ha%'</SQL_QUERY> | department_management | SELECT head_id , name FROM head WHERE name LIKE '%Ha%' | Which head's name has the substring 'Ha'? List the id and name. | [Schema (values) (types)]: | department_management | department : department_id (text) , name (number) , creation (text) , ranking (text) , budget_in_billions (number) , num_employees (number) | head : head_id (text) , name (number) , born_state (text) , age (text) | management : department_id (text) , head_id (number) , temporary_acting (text); | [Primary Keys]: department : department_id, head : head_id, management : department_id | [Foreign Keys]: management : head_id = head : head_id | management : department_id = department : department_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many farms are there?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM farm</SQL_QUERY> | farm | SELECT count(*) FROM farm | How many farms are there? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of farms.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM farm</SQL_QUERY> | farm | SELECT count(*) FROM farm | Count the number of farms. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the total number of horses on farms in ascending order.</question>
[SQL]:
| <SQL_QUERY>SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC</SQL_QUERY> | farm | SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC | List the total number of horses on farms in ascending order. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the total horses record for each farm, sorted ascending?</question>
[SQL]:
| <SQL_QUERY>SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC</SQL_QUERY> | farm | SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC | What is the total horses record for each farm, sorted ascending? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the hosts of competitions whose theme is not "Aliens"?</question>
[SQL]:
| <SQL_QUERY>SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens'</SQL_QUERY> | farm | SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens' | What are the hosts of competitions whose theme is not "Aliens"? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the hosts of competitions for which the theme is not Aliens?</question>
[SQL]:
| <SQL_QUERY>SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens'</SQL_QUERY> | farm | SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens' | Return the hosts of competitions for which the theme is not Aliens? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the themes of farm competitions sorted by year in ascending order?</question>
[SQL]:
| <SQL_QUERY>SELECT Theme FROM farm_competition ORDER BY YEAR ASC</SQL_QUERY> | farm | SELECT Theme FROM farm_competition ORDER BY YEAR ASC | What are the themes of farm competitions sorted by year in ascending order? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the themes of farm competitions, sorted by year ascending.</question>
[SQL]:
| <SQL_QUERY>SELECT Theme FROM farm_competition ORDER BY YEAR ASC</SQL_QUERY> | farm | SELECT Theme FROM farm_competition ORDER BY YEAR ASC | Return the themes of farm competitions, sorted by year ascending. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the average number of working horses of farms with more than 5000 total number of horses?</question>
[SQL]:
| <SQL_QUERY>SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000</SQL_QUERY> | farm | SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000 | What is the average number of working horses of farms with more than 5000 total number of horses? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the average number of working horses on farms with more than 5000 total horses.</question>
[SQL]:
| <SQL_QUERY>SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000</SQL_QUERY> | farm | SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000 | Give the average number of working horses on farms with more than 5000 total horses. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the maximum and minimum number of cows across all farms.</question>
[SQL]:
| <SQL_QUERY>SELECT max(Cows) , min(Cows) FROM farm</SQL_QUERY> | farm | SELECT max(Cows) , min(Cows) FROM farm | What are the maximum and minimum number of cows across all farms. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the maximum and minimum number of cows across all farms.</question>
[SQL]:
| <SQL_QUERY>SELECT max(Cows) , min(Cows) FROM farm</SQL_QUERY> | farm | SELECT max(Cows) , min(Cows) FROM farm | Return the maximum and minimum number of cows across all farms. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many different statuses do cities have?</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT Status) FROM city</SQL_QUERY> | farm | SELECT count(DISTINCT Status) FROM city | How many different statuses do cities have? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of different statuses.</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT Status) FROM city</SQL_QUERY> | farm | SELECT count(DISTINCT Status) FROM city | Count the number of different statuses. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List official names of cities in descending order of population.</question>
[SQL]:
| <SQL_QUERY>SELECT Official_Name FROM city ORDER BY Population DESC</SQL_QUERY> | farm | SELECT Official_Name FROM city ORDER BY Population DESC | List official names of cities in descending order of population. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the official names of cities, ordered descending by population?</question>
[SQL]:
| <SQL_QUERY>SELECT Official_Name FROM city ORDER BY Population DESC</SQL_QUERY> | farm | SELECT Official_Name FROM city ORDER BY Population DESC | What are the official names of cities, ordered descending by population? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the official name and status of the city with the largest population.</question>
[SQL]:
| <SQL_QUERY>SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1</SQL_QUERY> | farm | SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1 | List the official name and status of the city with the largest population. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the official name and status of the city with the most residents?</question>
[SQL]:
| <SQL_QUERY>SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1</SQL_QUERY> | farm | SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1 | What is the official name and status of the city with the most residents? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the years and the official names of the host cities of competitions.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID</SQL_QUERY> | farm | SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID | Show the years and the official names of the host cities of competitions. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the years and official names of the cities of each competition.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID</SQL_QUERY> | farm | SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID | Give the years and official names of the cities of each competition. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the official names of the cities that have hosted more than one competition.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1</SQL_QUERY> | farm | SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1 | Show the official names of the cities that have hosted more than one competition. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the official names of cities that have hosted more than one competition?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1</SQL_QUERY> | farm | SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1 | What are the official names of cities that have hosted more than one competition? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the status of the city that has hosted the greatest number of competitions.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1</SQL_QUERY> | farm | SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1 | Show the status of the city that has hosted the greatest number of competitions. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the status of the city that has hosted the most competitions?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1</SQL_QUERY> | farm | SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1 | What is the status of the city that has hosted the most competitions? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Please show the themes of competitions with host cities having populations larger than 1000.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000</SQL_QUERY> | farm | SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000 | Please show the themes of competitions with host cities having populations larger than 1000. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the themes of competitions that have corresponding host cities with more than 1000 residents?</question>
[SQL]:
| <SQL_QUERY>SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000</SQL_QUERY> | farm | SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000 | What are the themes of competitions that have corresponding host cities with more than 1000 residents? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Please show the different statuses of cities and the average population of cities with each status.</question>
[SQL]:
| <SQL_QUERY>SELECT Status , avg(Population) FROM city GROUP BY Status</SQL_QUERY> | farm | SELECT Status , avg(Population) FROM city GROUP BY Status | Please show the different statuses of cities and the average population of cities with each status. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the statuses and average populations of each city?</question>
[SQL]:
| <SQL_QUERY>SELECT Status , avg(Population) FROM city GROUP BY Status</SQL_QUERY> | farm | SELECT Status , avg(Population) FROM city GROUP BY Status | What are the statuses and average populations of each city? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Please show the different statuses, ordered by the number of cities that have each.</question>
[SQL]:
| <SQL_QUERY>SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC</SQL_QUERY> | farm | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC | Please show the different statuses, ordered by the number of cities that have each. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the different statuses of cities, ascending by frequency.</question>
[SQL]:
| <SQL_QUERY>SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC</SQL_QUERY> | farm | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC | Return the different statuses of cities, ascending by frequency. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the most common type of Status across cities.</question>
[SQL]:
| <SQL_QUERY>SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1</SQL_QUERY> | farm | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 | List the most common type of Status across cities. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the most common status across all cities?</question>
[SQL]:
| <SQL_QUERY>SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1</SQL_QUERY> | farm | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 | What is the most common status across all cities? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the official names of cities that have not held any competition.</question>
[SQL]:
| <SQL_QUERY>SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition)</SQL_QUERY> | farm | SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition) | List the official names of cities that have not held any competition. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the official names of cities that have not hosted a farm competition?</question>
[SQL]:
| <SQL_QUERY>SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition)</SQL_QUERY> | farm | SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition) | What are the official names of cities that have not hosted a farm competition? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the status shared by cities with population bigger than 1500 and smaller than 500.</question>
[SQL]:
| <SQL_QUERY>SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500</SQL_QUERY> | farm | SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500 | Show the status shared by cities with population bigger than 1500 and smaller than 500. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which statuses correspond to both cities that have a population over 1500 and cities that have a population lower than 500?</question>
[SQL]:
| <SQL_QUERY>SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500</SQL_QUERY> | farm | SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500 | Which statuses correspond to both cities that have a population over 1500 and cities that have a population lower than 500? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the official names of cities with population bigger than 1500 or smaller than 500.</question>
[SQL]:
| <SQL_QUERY>SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500</SQL_QUERY> | farm | SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500 | Find the official names of cities with population bigger than 1500 or smaller than 500. | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the official names of cities that have population over 1500 or less than 500?</question>
[SQL]:
| <SQL_QUERY>SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500</SQL_QUERY> | farm | SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500 | What are the official names of cities that have population over 1500 or less than 500? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the census ranking of cities whose status are not "Village".</question>
[SQL]:
| <SQL_QUERY>SELECT Census_Ranking FROM city WHERE Status != "Village"</SQL_QUERY> | farm | SELECT Census_Ranking FROM city WHERE Status != "Village" | Show the census ranking of cities whose status are not "Village". | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text);</schema>"
<primary_keys>[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id</primary_keys>"
<foreign_keys>[Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the census rankings of cities that do not have the status "Village"?</question>
[SQL]:
| <SQL_QUERY>SELECT Census_Ranking FROM city WHERE Status != "Village"</SQL_QUERY> | farm | SELECT Census_Ranking FROM city WHERE Status != "Village" | What are the census rankings of cities that do not have the status "Village"? | [Schema (values) (types)]: | farm | city : city_id (text) , official_name (number) , status (text) , area_km_2 (text) , population (number) , census_ranking (number) | farm : farm_id (text) , year (number) , total_horses (text) , working_horses (text) , total_cattle (number) , oxen (number) , bulls (text) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (text) , year (number) , theme (text) , host_city_id (text) , hosts (number) | competition_record : competition_id (text) , farm_id (number) , rank (text); | [Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id | [Foreign Keys]: farm_competition : host_city_id = city : city_id | competition_record : farm_id = farm : farm_id | competition_record : competition_id = farm_competition : competition_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>which course has most number of registered students?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | student_assessment | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1 | which course has most number of registered students? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the name of the course with the most registered students?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | student_assessment | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1 | What is the name of the course with the most registered students? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is id of students who registered some courses but the least number of courses in these students?</question>
[SQL]:
| <SQL_QUERY>SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1</SQL_QUERY> | student_assessment | SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1 | what is id of students who registered some courses but the least number of courses in these students? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids of the students who registered for some courses but had the least number of courses for all students?</question>
[SQL]:
| <SQL_QUERY>SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1</SQL_QUERY> | student_assessment | SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1 | What are the ids of the students who registered for some courses but had the least number of courses for all students? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>what are the first name and last name of all candidates?</question>
[SQL]:
| <SQL_QUERY>SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id</SQL_QUERY> | student_assessment | SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id | what are the first name and last name of all candidates? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the first and last names of all the candidates?</question>
[SQL]:
| <SQL_QUERY>SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id</SQL_QUERY> | student_assessment | SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id | What are the first and last names of all the candidates? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the id of students who never attends courses?</question>
[SQL]:
| <SQL_QUERY>SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)</SQL_QUERY> | student_assessment | SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance) | List the id of students who never attends courses? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids of every student who has never attended a course?</question>
[SQL]:
| <SQL_QUERY>SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)</SQL_QUERY> | student_assessment | SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance) | What are the ids of every student who has never attended a course? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the id of students who attended some courses?</question>
[SQL]:
| <SQL_QUERY>SELECT student_id FROM student_course_attendance</SQL_QUERY> | student_assessment | SELECT student_id FROM student_course_attendance | List the id of students who attended some courses? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids of all students who have attended at least one course?</question>
[SQL]:
| <SQL_QUERY>SELECT student_id FROM student_course_attendance</SQL_QUERY> | student_assessment | SELECT student_id FROM student_course_attendance | What are the ids of all students who have attended at least one course? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids of all students for courses and what are the names of those courses?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.student_id , T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id</SQL_QUERY> | student_assessment | SELECT T1.student_id , T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id | What are the ids of all students for courses and what are the names of those courses? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is detail of the student who most recently registered course?</question>
[SQL]:
| <SQL_QUERY>SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1</SQL_QUERY> | student_assessment | SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1 | What is detail of the student who most recently registered course? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text);</schema>"
<primary_keys>[Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What details do we have on the students who registered for courses most recently?</question>
[SQL]:
| <SQL_QUERY>SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1</SQL_QUERY> | student_assessment | SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1 | What details do we have on the students who registered for courses most recently? | [Schema (values) (types)]: | student_assessment | Addresses : address_id (text) , line_1 (number) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | People : person_id (text) , first_name (number) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | Students : student_id (text) , student_details (number) | Courses : course_id (text) , course_name (number) , course_description (text) , other_details (text) | People_Addresses : person_address_id (text) , person_id (number) , address_id (text) , date_from (text) , date_to (text) | Student_Course_Registrations : student_id (text) , course_id (number) , registration_date (text) | Student_Course_Attendance : student_id (text) , course_id (number) , date_of_attendance (text) | Candidates : candidate_id (text) , candidate_details (number) | Candidate_Assessments : candidate_id (text) , qualification (number) , assessment_date (text) , asessment_outcome_code (text); | [Primary Keys]: addresses : address_id, people : person_id, students : student_id, courses : course_id, people_addresses : person_address_id, student_course_registrations : student_id, student_course_attendance : student_id, candidates : candidate_id, candidate_assessments : candidate_id | [Foreign Keys]: students : student_id = people : person_id | people_addresses : address_id = addresses : address_id | people_addresses : person_id = people : person_id | student_course_registrations : course_id = courses : course_id | student_course_registrations : student_id = students : student_id | student_course_attendance : student_id = student_course_registrations : student_id | student_course_attendance : course_id = student_course_registrations : course_id | candidates : candidate_id = people : person_id | candidate_assessments : candidate_id = candidates : candidate_id |
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