```py
        >>> from datasets import load_dataset_builder
        >>> ds_builder = load_dataset_builder('rotten_tomatoes')
        >>> ds_builder.get_exported_dataset_info()
        DatasetInfo(description='', citation='', homepage='', license='', features={'speaker_id': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'audio': Audio(sampling_rate=16000, mono=True, decode=True, id=None), 'sentence': Value(dtype='string', id=None)}, post_processed=None, supervised_keys=None, builder_name=None, dataset_name=None, config_name='default', version=None, splits={'train': SplitInfo(name='train', num_bytes=1722002133, num_examples=11660, shard_lengths=None, dataset_name=None), 'test': SplitInfo(name='test', num_bytes=86120227, num_examples=760, shard_lengths=None, dataset_name=None)}, download_checksums=None, download_size=1475540500, post_processing_size=None, dataset_size=1808122360, size_in_bytes=None)
        ```
        """