class_docstr: DatasetBuilder for non-tokenized, non-anonymized SummScreen dataset.
class_docstr_tok: ["DatasetBuilder","for","non-tokenized",",","non-anonymized","SummScreen","dataset","."]
code: def _split_generators(self, dl_manager):
      dl_paths = dl_manager.download_and_extract(_DL_URLS)
      filenames_dict = _get_filenames_dict(
          tokenized_path=dl_paths["tokenized"],
          recap_source=self._builder_config.recap_source,  # pytype: disable=attribute-error  # always-use-return-annotations
      )
      paths_dict = _get_paths_dict(
          untokenized_path=dl_paths["untokenized"],
          recap_source=self._builder_config.recap_source,  # pytype: disable=attribute-error  # always-use-return-annotations
          filenames_dict=filenames_dict,
      )
      return {
          "train": self._generate_examples(paths=paths_dict["train"]),
          "validation": self._generate_examples(
              paths=paths_dict["dev"]
          ),
          "test": self._generate_examples(paths=paths_dict["test"]),
      }
  
file_path: datasets/tensorflow_datasets/datasets/summscreen/summscreen_dataset_builder.py
imports: import json
  import os
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict