class_docstr: DatasetBuilder for RLU Atari with one split per checkpoint.
class_docstr_tok: ["DatasetBuilder","for","RLU","Atari","with","one","split","per","checkpoint","."]
docstr: Returns the dataset metadata with shuffling disabled.
docstr_tok: ["Returns","the","dataset","metadata","with","shuffling","disabled","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata with shuffling disabled."""
      # pylint: disable=protected-access
      return tfds.core.DatasetInfo(
          builder=self,
          description=rlu_common._DESCRIPTION + self.get_description(),
          features=self.get_features_dict(),
          supervised_keys=None,
          homepage=rlu_common._HOMEPAGE,
          citation=self.get_citation(),
          disable_shuffling=True,
      )
  
file_path: datasets/tensorflow_datasets/rl_unplugged/rlu_atari_checkpoints_ordered/rlu_atari_checkpoints_ordered.py
imports: from __future__ import annotations
  from typing import Any, Dict
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
  from tensorflow_datasets.rl_unplugged import atari_utils
  from tensorflow_datasets.rl_unplugged import rlu_common
label_desc: Use image node_id 1 for calling the RluAtariCheckpointsOrdered obj's underlying member method code with example usage: obj._info() and returns: tfds