class_docstr: Street View House Numbers (SVHN) Dataset, cropped version.
code: def _info(self):
      features_dict = {
          "image": tfds.features.Image(shape=(32, 32, 3)),
          "label": tfds.features.ClassLabel(num_classes=10),
      }
      if self.version > "3.0.0":
          features_dict["id"] = tfds.features.Text()
      return self.dataset_info_from_configs(
          description=(
              "The Street View House Numbers (SVHN) Dataset is an image digit "
              "recognition dataset of over 600,000 digit images coming from "
              "real world data. Images are cropped to 32x32."
          ),
          features=tfds.features.FeaturesDict(features_dict),
          supervised_keys=("image", "label"),
          homepage=URL,
      )
  
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 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self