SQL

Natural language to SQL query generation evaluates text-to-query fidelity and schema reasoning. This task is particularly relevant for analytics chat assistants and simplified database interfaces where users need to query data using natural language. Models must understand both the intent behind the question and the structure of the underlying database schema.

Duration

13s

Input Tokens

955

Output Tokens

210

Cost

$0.00

Context

Input

I am in the class with teacher Amanda Svensson, I can't find the link to the video for the last lesson. Can you provide me with it?

Expected output

SELECT l.video_url FROM lessons l JOIN courses c ON l.course_id = c.course_id JOIN users u ON c.instructor_id = u.user_id WHERE u.name = 'Amanda Svensson' AND l.order_index = (SELECT MAX(order_index) FROM lessons l2 WHERE l2.course_id = c.course_id);

Model output

SELECT l.video_url
FROM users u
JOIN courses c ON c.instructor_id = u.user_id
JOIN enrollments e ON e.course_id = c.course_id
JOIN lessons l ON l.course_id = c.course_id
WHERE u.name = 'Amanda Svensson' AND u.role = 'instructor'
AND e.user_id = (SELECT user_id FROM users WHERE name = current_user)
ORDER BY l.order_index DESC
LIMIT 1;