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

19s

Input Tokens

1086

Output Tokens

788

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),
    payment_year INT NOT NULL,
    payment_month INT NOT NULL CHECK (payment_month BETWEEN 1 AND 12),
    amount DECIMAL(10, 2) NOT NULL,
    payment_date DATE,
    notes TEXT,
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW(),
    UNIQUE (instructor_id, payment_year, payment_month)
);