class_docstr: DatasetBuilder for RLDS datasets which proxies data files from GCS.
  
  RLDS datasets are already converted to TFDS format. This
  builder just effectively downloads them from GCS.
class_docstr_tok: ["DatasetBuilder","for","RLDS","datasets","which","proxies","data","files","from","GCS",".","RLDS","datasets","are","already","converted","to","TFDS","format",".","This","builder","just","effectively","downloads","them","from","GCS","."]
code: def get_description(self):
      pass
  
imports: from __future__ import annotations
  import abc
  import os
  from typing import Any
  from tensorflow_datasets.core import beam_utils
  from tensorflow_datasets.core import dataset_builder
  from tensorflow_datasets.core import dataset_utils
  from tensorflow_datasets.core import splits
  from tensorflow_datasets.core.utils import read_config
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the DatasetImporterBuilder obj's underlying member method code with example usage: obj.get_description() without return types