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.

100
Duration
29s
Input Tokens
664
Output Tokens
154
Cost
$0.00
Context
Input
Show the top 10 customers who bought the most vehicles. List their names and how many vehicles they purchased (vehicles_purchased).
Expected output
SELECT c.name, COUNT(*) AS vehicles_purchased FROM sales s JOIN customers c ON s.customer_id = c.customer_id GROUP BY c.name ORDER BY vehicles_purchased DESC LIMIT 10;
Model output
SELECT customers.name, COUNT(sales.sale_id) as vehicles_purchased FROM customers JOIN sales ON customers.customer_id = sales.customer_id GROUP BY customers.name ORDER BY vehicles_purchased DESC LIMIT 10;