Dataset Viewer
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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
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[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]:
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<SQL_QUERY>SELECT max(Cows) , min(Cows) FROM farm</SQL_QUERY>
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farm
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SELECT max(Cows) , min(Cows) FROM farm
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What are the maximum and minimum number of cows across all farms.
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[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);
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[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id
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[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
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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)]: | 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]:
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<SQL_QUERY>SELECT max(Cows) , min(Cows) FROM farm</SQL_QUERY>
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farm
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SELECT max(Cows) , min(Cows) FROM farm
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Return the maximum and minimum number of cows across all farms.
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[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);
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[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id
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[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
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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)]: | 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]:
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<SQL_QUERY>SELECT count(DISTINCT Status) FROM city</SQL_QUERY>
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farm
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SELECT count(DISTINCT Status) FROM city
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How many different statuses do cities have?
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[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);
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[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id
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[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
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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)]: | 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]:
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<SQL_QUERY>SELECT count(DISTINCT Status) FROM city</SQL_QUERY>
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farm
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SELECT count(DISTINCT Status) FROM city
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Count the number of different statuses.
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[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);
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[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id
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[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
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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)]: | 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]:
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<SQL_QUERY>SELECT Official_Name FROM city ORDER BY Population DESC</SQL_QUERY>
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farm
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SELECT Official_Name FROM city ORDER BY Population DESC
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List official names of cities in descending order of population.
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[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);
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[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]:
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<SQL_QUERY>SELECT Official_Name FROM city ORDER BY Population DESC</SQL_QUERY>
|
farm
|
SELECT Official_Name FROM city ORDER BY Population DESC
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What are the official names of cities, ordered descending by population?
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[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);
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[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]:
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<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
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List the official name and status of the city with the largest population.
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[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);
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[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id
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[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]:
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<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?
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[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);
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[Primary Keys]: city : city_id, farm : farm_id, farm_competition : competition_id, competition_record : competition_id
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[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>
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farm
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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>
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farm
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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>
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farm
|
SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1
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What is the most common status across all cities?
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[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
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[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]:
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<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]:
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<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>
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student_assessment
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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
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What is the name of the course with the most registered students?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<SQL_QUERY>SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1</SQL_QUERY>
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student_assessment
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SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1
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what is id of students who registered some courses but the least number of courses in these students?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<SQL_QUERY>SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1</SQL_QUERY>
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student_assessment
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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?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<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>
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student_assessment
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SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id
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what are the first name and last name of all candidates?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<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>
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student_assessment
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SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id
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What are the first and last names of all the candidates?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<SQL_QUERY>SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)</SQL_QUERY>
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student_assessment
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SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
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List the id of students who never attends courses?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<SQL_QUERY>SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)</SQL_QUERY>
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student_assessment
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SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
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What are the ids of every student who has never attended a course?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<SQL_QUERY>SELECT student_id FROM student_course_attendance</SQL_QUERY>
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student_assessment
|
SELECT student_id FROM student_course_attendance
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List the id of students who attended some courses?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<SQL_QUERY>SELECT student_id FROM student_course_attendance</SQL_QUERY>
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student_assessment
|
SELECT student_id FROM student_course_attendance
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What are the ids of all students who have attended at least one course?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<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>
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student_assessment
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SELECT T1.student_id , T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id
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What are the ids of all students for courses and what are the names of those courses?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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]:
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<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>
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student_assessment
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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
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What is detail of the student who most recently registered course?
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[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);
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[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
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[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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This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary 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>
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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?
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[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);
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[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
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[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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End of preview. Expand
in Data Studio
Dataset for creating prompts for fine-tuning on Spider Dataset with Foreign and Primary Key Information as well as Schema information.
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