Use a specific [`Features`] to store the cache file
                instead of the automatically generated one.
            disable_nullable (`bool`, defaults to `False`):
                Allow null values in the table.
            num_proc (`int`, optional, default `None`):
                Max number of processes when generating cache. Already cached shards are loaded sequentially
            new_fingerprint (`str`, *optional*, defaults to `None`):
                The new fingerprint of the dataset after transform.
                If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments
        """
        self._check_values_type()
        if cache_file_names is None:
            cache_file_names = {k: None for k in self}
        return DatasetDict(
            {
                k: dataset.flatten_indices(
                    keep_in_memory=keep_in_memory,
                    cache_file_name=cache_file_names[k],