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","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      ds_location = self.get_dataset_location()
      ds_builder = tfds.builder_from_directory(ds_location)
  
      splits = {}
      for split, split_info in ds_builder.info.splits.items():
          splits[split] = self._generate_examples(
              ds_builder, split_info
          )
      return splits
  
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 7 for calling the DatasetImporterBuilder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: splits