class_docstr: DatasetBuilder for D4RL datasets.
class_docstr_tok: ["DatasetBuilder","for","D4RL","datasets","."]
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      features_dict = get_features_dict(
          builder_config=self.builder_config, ds_config=self._ds_config
      )
      return tfds.core.DatasetInfo(
          builder=self,
          description=dataset_utils.description(),
          features=tfds.features.FeaturesDict(features_dict),
          supervised_keys=None,  # disabled
          homepage=dataset_utils.url(),
          citation=dataset_utils.citation(),
      )
  
file_path: datasets/tensorflow_datasets/d4rl/dataset_builder.py
imports: from __future__ import annotations
  import dataclasses
  from typing import Any, Dict, FrozenSet, Optional, Type, Union
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.d4rl import dataset_utils
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the D4RLDatasetBuilder obj's underlying member method code with example usage: obj._info() and returns: tfds