class_docstr: DatasetBuilder initialized from a Croissant config file.
class_docstr_tok: ["DatasetBuilder","initialized","from","a","Croissant","config","file","."]
code: def _split_generators(
      self, dl_manager: download.DownloadManager
  ) -> Dict[splits_lib.Split, split_builder_lib.SplitGenerator]:
      # This will be updated when partitions are implemented in Croissant, ref to:
      # https://docs.google.com/document/d/1saz3usja6mk5ugJXNF64_uSXsOzIgbIV28_bu1QamVY
      return {"default": self._generate_examples()}
  
imports: from typing import Any, Dict, Optional, Sequence
  from etils import epath
  import numpy
  from tensorflow_datasets.core import dataset_builder
  from tensorflow_datasets.core import dataset_info
  from tensorflow_datasets.core import download
  from tensorflow_datasets.core import split_builder
  from tensorflow_datasets.core import splits
  from tensorflow_datasets.core.features import feature
  from tensorflow_datasets.core.features import features_dict
  from tensorflow_datasets.core.features import image_feature
  from tensorflow_datasets.core.features import sequence_feature
  from tensorflow_datasets.core.features import text_feature
  from tensorflow_datasets.core.utils import type_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import mlcroissant
  from tensorflow_datasets.core.utils.lazy_imports_utils import pandas
label_desc: Use image node_id 6 for calling the CroissantBuilder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict