class_docstr: An ImageNet test set recollected by following the original protocol.
class_docstr_tok: ["An","ImageNet","test","set","recollected","by","following","the","original","protocol","."]
code: def _info(self):
      names_file = imagenet_common.label_names_file()
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(encoding_format="jpeg"),
                  "label": tfds.features.ClassLabel(
                      names_file=names_file
                  ),
                  "file_name": tfds.features.Text(),
              }
          ),
          # Used if as_supervised=True in builder.as_dataset.
          supervised_keys=("image", "label"),
          # Homepage of the dataset for documentation
          homepage="https://github.com/modestyachts/ImageNetV2",
      )
  
file_path: datasets/tensorflow_datasets/datasets/imagenet_v2/imagenet_v2_dataset_builder.py
imports: import os
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.datasets.imagenet2012 import imagenet_common
  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