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.

50
Duration
39s
Input Tokens
785
Output Tokens
2593
Cost
$0.00
Context
Input
Show the names of customers who paid more than the average sale price for the vehicles they bought.
Expected output
SELECT c.name FROM customers c JOIN sales s ON c.customer_id = s.customer_id WHERE s.sale_price > (SELECT AVG(s2.sale_price) FROM sales s2 WHERE s2.vehicle_id = s.vehicle_id);
Model output
WITH customer_sales AS (\n  SELECT c.customer_id,\n         c.name,\n         s.sale_price,\n         AVG(s.sale_price) OVER (PARTITION BY c.customer_id) AS avg_price_by_customer\n  FROM customers c\n  JOIN sales s ON s.customer_id = c.customer_id\n)\nSELECT DISTINCT name\nFROM customer_sales\nWHERE sale_price > avg_price_by_customer\nORDER BY name;