class_docstr: Librispeech dataset.
class_docstr_tok: ["Librispeech","dataset","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      extracted_dirs = dl_manager.download_and_extract(_DL_URLS)
      self._populate_metadata(extracted_dirs.values())
      splits = {
          split: self._generate_examples(directory)
          for split, directory in extracted_dirs.items()
      }
      return splits
  
file_path: datasets/tensorflow_datasets/datasets/librispeech/librispeech_dataset_builder.py
imports: from __future__ import annotations
  import os
  from typing import Iterable, List
  from etils import epath
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 4 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: splits