class_docstr: This is a dataset for multilingual paraphrase identification.
docstr: Returns SplitGenerators.
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_path = dl_manager.download_and_extract(
          {"x-final": _DOWNLOAD_URL}
      )
      # Name of the extracted folder is "x-final"
      base_path = os.path.join(dl_path["x-final"], "x-final")
  
      # Name of file for training for 'en' is different from other languages
      if self.builder_config.language == "en":
          training_path = os.path.join(
              base_path, self.builder_config.language, "train.tsv"
          )
      else:
          training_path = os.path.join(
              base_path,
              self.builder_config.language,
              "translated_train.tsv",
          )
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"path": training_path},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "path": os.path.join(
                      base_path,
                      self.builder_config.language,
                      "test_2k.tsv",
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "path": os.path.join(
                      base_path,
                      self.builder_config.language,
                      "dev_2k.tsv",
                  )
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/paws_x_wiki/paws_x_wiki_dataset_builder.py
imports: import csv
  import os
  from etils import epath
  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: list