class_docstr: Caltech-101.
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      data_dir = dl_manager.download_and_extract(_URL)
      images_dir = dl_manager.extract(
          data_dir / "caltech-101" / "101_ObjectCategories.tar.gz"
      )
  
      return {
          "train": self._generate_examples(
              images_dir, is_train_split=True
          ),
          "test": self._generate_examples(
              images_dir, is_train_split=False
          ),
      }
  
file_path: datasets/tensorflow_datasets/datasets/caltech101/caltech101_dataset_builder.py
imports: import os
  import numpy
  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: dict