class_docstr: Imagenet Resized dataset.
class_docstr_tok: ["Imagenet","Resized","dataset","."]
code: def _info(self):
      names_file = tfds.core.tfds_path(_LABELS_FNAME)
      size = self.builder_config.size
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(shape=(size, size, 3)),
                  "label": tfds.features.ClassLabel(
                      names_file=names_file
                  ),
              }
          ),
          supervised_keys=("image", "label"),
          homepage="https://patrykchrabaszcz.github.io/Imagenet32/",
      )
  
file_path: datasets/tensorflow_datasets/datasets/imagenet_resized/imagenet_resized_dataset_builder.py
imports: import io
  import itertools
  import numpy
  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