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.

Duration

14s

Input Tokens

1174

Output Tokens

176

Cost

$0.00

Context

Input

Create a new table where I can store how much we pay instructors each month.

Expected output

CREATE TABLE instructor_payouts ( instructor_id INT REFERENCES users(user_id), payout_month DATE, amount DECIMAL(10, 2), PRIMARY KEY (instructor_id, payout_month) );

Model output

CREATE TABLE instructor_payments (
    instructor_id INT REFERENCES users(user_id),
    year INT NOT NULL CHECK (year > 1900),
    month INT NOT NULL CHECK (month BETWEEN 1 AND 12),
    amount DECIMAL(10, 2) NOT NULL,
    paid_at TIMESTAMP DEFAULT NOW(),
    PRIMARY KEY (instructor_id, year, month)
);