8ed133ec4a5c2780c324ee171cd20ddb5368dc95,openml/datasets/functions.py,,create_dataset,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,356

Before Change

    try:
        // check if arff is valid
        decoder = arff.ArffDecoder()
        decoder.decode(arff_dataset, encode_nominal=True)
    except arff.ArffException:
        raise ValueError("The arguments you have provided \
                             do not construct a valid arff file")

After Change

    // Determine ARFF format from the dataset
    else:
        if isinstance(data, list) or isinstance(data, np.ndarray):
            if isinstance(data[0], list) or isinstance(data[0], np.ndarray):
                d_format = "arff"
            elif isinstance(data[0], dict):
                d_format = "sparse_arff"
            else:
                raise ValueError(
                    "When giving a list or a numpy.ndarray, "
                    "they should contain a list/ numpy.ndarray "
                    "for dense data or a dictionary for sparse "
                    "data. Got {!r} instead."
                    .format(data[0])
                )
        elif isinstance(data, coo_matrix):
            d_format = "sparse_arff"
        else:
            raise ValueError(
                "Invalid data type. The data type can be a list, "
                "a numpy ndarray or a scipy.sparse.coo_matrix"
            )

    arff_object = {
        "relation": name,
        "description": description,
        "attributes": attributes,

Instances