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

Input Tokens

1186

Output Tokens

178

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 (
    payment_id SERIAL PRIMARY KEY,
    instructor_id INT NOT NULL REFERENCES users(user_id) CHECK (EXISTS (SELECT 1 FROM users WHERE user_id = instructor_id AND role = 'instructor')),
    payment_month DATE NOT NULL,
    amount DECIMAL(10, 2) NOT NULL CHECK (amount >= 0),
    notes TEXT,
    created_at TIMESTAMP DEFAULT NOW(),
    UNIQUE(instructor_id, payment_month)
);