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

28s

Input Tokens

563

Output Tokens

693

Cost

$0.00

Context

Input

List all unique cities where customers are from.

Expected output

SELECT DISTINCT city FROM customers;

Model output

SELECT DISTINCT city FROM customers WHERE city IS NOT NULL ORDER BY city;