class_docstr: WikiHow: A Large Scale Text Summarization Dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_path = dl_manager.download(_URLS)
      titles = {k: set() for k in dl_path}
      for k, path in dl_path.items():
          with epath.Path(path).open() as f:
              for line in f:
                  titles[k].add(line.strip())
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "path": os.path.join(
                      dl_manager.manual_dir,
                      self.builder_config.filename,
                  ),
                  "title_set": titles["train"],
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "path": os.path.join(
                      dl_manager.manual_dir,
                      self.builder_config.filename,
                  ),
                  "title_set": titles["validation"],
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "path": os.path.join(
                      dl_manager.manual_dir,
                      self.builder_config.filename,
                  ),
                  "title_set": titles["test"],
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/summarization/wikihow.py
imports: import csv
  import os
  import re
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Wikihow obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list