class_docstr: A smaller subset of 10 easily classified classes from Imagenet.
docstr: Returns SplitGenerators.
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dirname = self.builder_config.dirname
      url = _URL_PREFIX + "{}.tgz".format(dirname)
      path = dl_manager.download_and_extract(url)
      train_path = os.path.join(path, dirname, "train")
      val_path = os.path.join(path, dirname, "val")
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "datapath": train_path,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "datapath": val_path,
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/imagenette/imagenette_dataset_builder.py
imports: import os
  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