class_docstr: Street View House Numbers (SVHN) Dataset, cropped version.
code: def _split_generators(self, dl_manager):
      output_files = dl_manager.download(
          {
              "train": urllib.parse.urljoin(URL, "train_32x32.mat"),
              "test": urllib.parse.urljoin(URL, "test_32x32.mat"),
              "extra": urllib.parse.urljoin(URL, "extra_32x32.mat"),
          }
      )
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs=dict(
                  split_prefix="train_",
                  filepath=output_files["train"],
              ),
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs=dict(
                  split_prefix="test_",
                  filepath=output_files["test"],
              ),
          ),
          tfds.core.SplitGenerator(
              name="extra",
              gen_kwargs=dict(
                  split_prefix="extra_",
                  filepath=output_files["extra"],
              ),
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/svhn_cropped/svhn_cropped_dataset_builder.py
imports: import urllib
  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: list