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

23s

Input Tokens

782

Output Tokens

1043

Cost

$0.00

Context

Input

Find the name of the dealership that has the highest total revenue from vehicle sales

Expected output

SELECT d.name FROM dealerships d JOIN sales s ON d.branch_id = s.branch_id GROUP BY d.name ORDER BY SUM(s.sale_price) DESC LIMIT 1;

Model output

WITH revenue AS (
  SELECT branch_id, SUM(sale_price) AS total_revenue
  FROM sales
  GROUP BY branch_id
), ranked AS (
  SELECT branch_id, total_revenue, RANK() OVER (ORDER BY total_revenue DESC) AS rnk
  FROM revenue
)
SELECT d.name
FROM ranked r
JOIN dealerships d ON d.branch_id = r.branch_id
WHERE r.rnk = 1;