class_docstr: QA4MRE dataset from CLEF shared tasks 2011, 2012, 2013.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      cfg = self.builder_config
      download_urls = dict()
  
      if cfg.track == "main":
          download_urls[
              "{}.main.{}".format(cfg.year, cfg.lang)
          ] = os.path.join(
              _BASE_URL,
              PATHS[cfg.year]["_PATH_TMPL_MAIN_GS"].format(cfg.lang),
          )  # pytype: disable=attribute-error
  
      if cfg.year in ["2012", "2013"] and cfg.track == "alzheimers":
          download_urls[
              "{}.alzheimers.EN".format(cfg.year)
          ] = os.path.join(
              _BASE_URL, PATHS[cfg.year]["_PATH_ALZHEIMER"]
          )
  
      if cfg.year == "2013" and cfg.track == "entrance_exam":
          download_urls["2013.entrance_exam.EN"] = os.path.join(
              _BASE_URL, PATHS[cfg.year]["_PATH_ENTRANCE_EXAM"]
          )
  
      downloaded_files = dl_manager.download_and_extract(download_urls)
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "filepath": downloaded_files[
                      "{}.{}.{}".format(cfg.year, cfg.track, cfg.lang)
                  ]
              },
          )
      ]
  
file_path: datasets/tensorflow_datasets/datasets/qa4mre/qa4mre_dataset_builder.py
imports: import os
  import xml.etree.ElementTree
  from absl import logging
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  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