class_docstr: DatasetBuilder for mrqa dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      data_dir = dl_manager.download_and_extract(
          self.builder_config.data_urls
      )
      split_generators = {}
  
      if "train" in self.builder_config.data_urls:
          split_generators.update(
              {
                  tfds.Split.TRAIN: self._generate_examples(
                      path=data_dir["train"], split="train"
                  ),
              }
          )
  
      if "validation" in self.builder_config.data_urls:
          split_generators.update(
              {
                  tfds.Split.VALIDATION: self._generate_examples(
                      path=data_dir["validation"], split="validation"
                  ),
              }
          )
  
      if "test" in self.builder_config.data_urls:
          split_generators.update(
              {
                  tfds.Split.TEST: self._generate_examples(
                      path=data_dir["test"], split="test"
                  ),
              }
          )
      return split_generators
  
file_path: datasets/tensorflow_datasets/text/mrqa/mrqa.py
imports: from __future__ import annotations
  import json
  import textwrap
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the MRQA obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: split_generators