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
17s
Input Tokens
775
Output Tokens
459
Cost
$0.00
Context
Input
List all employees hired after 2021
Expected output
SELECT * FROM employees WHERE hired_at > '2021-12-31';
Model output
SELECT * FROM employees WHERE hired_at > DATE '2021-12-31';