class_docstr: DatasetBuilder for RLU Atari with one split per checkpoint.
code: def get_splits(self):
      checkpoints = {}
      for i in range(self.num_shards()):
          paths = {
              "file_paths": [
                  rlu_common.filename(
                      self.get_file_prefix(), self.num_shards(), i
                  )
              ]
          }
          checkpoints[f"checkpoint_{i:02d}"] = self._generate_examples(
              paths
          )
      return checkpoints
  
file_path: datasets/tensorflow_datasets/rl_unplugged/rlu_atari_checkpoints/rlu_atari_checkpoints.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 8 for calling the RluAtariCheckpoints obj's underlying member method code with example usage: obj.get_splits() and returns: checkpoints