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

31s

Input Tokens

961

Output Tokens

1284

Cost

$0.00

Context

Input

Create an index to speed up queries filtering by active users.

Expected output

CREATE INDEX idx_users_is_active ON users(is_active);

Model output

CREATE INDEX IF NOT EXISTS idx_users_active_true ON users (user_id) WHERE is_active;