code: def _split_generators(self, dl_manager):
      
      # Download images and annotations that come in separate archives.
      # Note, that the extension of archives is .tar.gz even though the actual
      # archives format is uncompressed tar.
      dl_paths = dl_manager.download_and_extract({
          "images": tfds.download.Resource(
              url=os.path.join(_BASE_URL, "102flowers.tgz"),
              extract_method=tfds.download.ExtractMethod.TAR),
          "labels": os.path.join(_BASE_URL, "imagelabels.mat"),
          "setid": os.path.join(_BASE_URL, "setid.mat"),
      })
  
      gen_kwargs = dict(
          images_dir_path=os.path.join(dl_paths["images"], "jpg"),
          labels_path=dl_paths["labels"],
          setid_path=dl_paths["setid"],
      )
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              num_shards=1,
              gen_kwargs=dict(split_name="trnid", **gen_kwargs)),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              num_shards=1,
              gen_kwargs=dict(split_name="tstid", **gen_kwargs)),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              num_shards=1,
              gen_kwargs=dict(split_name="valid", **gen_kwargs)),
      ]
docs: Returns SplitGenerators.