class_docstr: MLQA: Multilingual Question Answering Dataset.
class_docstr_tok: ["MLQA",":","Multilingual","Question","Answering","Dataset","."]
code: def _split_generators(self, dl_manager):
      lang = self.builder_config.language
      filepaths = dl_manager.download_and_extract(
          {
              "test": _DOWNLOAD_URL,
              "validation": _DOWNLOAD_URL,
          }
      )
      filepaths["test"] = os.path.join(
          filepaths["test"],
          "MLQA_V1",
          "test",
          "test-context-{0}-question-{0}.json".format(lang),
      )
      filepaths["validation"] = os.path.join(
          filepaths["validation"],
          "MLQA_V1",
          "dev",
          "dev-context-{0}-question-{0}.json".format(lang),
      )
      return [
          tfds.core.SplitGenerator(  # pylint:disable=g-complex-comprehension
              name=split, gen_kwargs={"filepath": path}
          )
          for split, path in filepaths.items()
      ]
  
file_path: datasets/tensorflow_datasets/datasets/mlqa/mlqa_dataset_builder.py
imports: import os
  import tensorflow_datasets.public_api
  from tensorflow_datasets.question_answering import qa_utils
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: unknown