Args:
            column_names (`Union[str, List[str]]`):
                Name of the column(s) to remove.

        Returns:
            [`IterableDatasetDict`]: A copy of the dataset object without the columns to remove.

        Example:

        ```py
        >>> from datasets import load_dataset
        >>> ds = load_dataset("rotten_tomatoes", streaming=True)
        >>> ds = ds.remove_columns("label")
        >>> next(iter(ds["train"]))
        {'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}
        ```
        """
        return IterableDatasetDict({k: dataset.remove_columns(column_names) for k, dataset in self.items()})