class_docstr: DatasetBuilder for rlu_control_suite dataset.
class_docstr_tok: ["DatasetBuilder","for","rlu_control_suite","dataset","."]
code: def _get_example_specs(self):
      obs_features = {
          f"observation/{k}": _sequence_feature(v)
          for k, v in self.builder_config.observation_size.items()
      }
      return {
          **obs_features,
          "action": _sequence_feature(self.builder_config.action_size),
          "discount": _sequence_feature(),
          "reward": _sequence_feature(),
          "step_type": _sequence_feature(),
          "episode_id": tf.io.FixedLenFeature([], tf.int64),
          "timestamp": tf.io.FixedLenFeature([], tf.int64),
      }
  
file_path: datasets/tensorflow_datasets/rl_unplugged/rlu_control_suite/rlu_control_suite.py
imports: from __future__ import annotations
  import dataclasses
  from typing import Any, Dict, Optional
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
  from tensorflow_datasets.rl_unplugged import rlu_common
label_desc: Use image node_id 6 for calling the RluControlSuite obj's underlying member method code with example usage: obj._get_example_specs() and returns: dict