def METHOD_NAME(
    values: np.ndarray,
    prediction_length: int,
    start: str = "1700-01-01",
    freq: str = "1H",
):
    target_dim = values.shape[0]
    print(
        f"making dataset with {target_dim} dimension and {values.shape[1]} observations."
    )
    start = pd.Timestamp(start, freq)
    train_ds = [
        {"item": "0", "start": start, "target": values[:, :-prediction_length]}
    ]
    test_ds = [{"item": "0", "start": start, "target": values}]
    return MultivariateDatasetInfo(
        name="custom",
        train_ds=train_ds,
        test_ds=test_ds,
        target_dim=target_dim,
        freq=freq,
        prediction_length=prediction_length,
    )