class_docstr: ImageNet validation images with ReaL labels.
class_docstr_tok: ["ImageNet","validation","images","with","ReaL","labels","."]
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"),
                  "original_label": tfds.features.ClassLabel(
                      names_file=names_file
                  ),
                  "real_label": tfds.features.Sequence(
                      tfds.features.ClassLabel(names_file=names_file)
                  ),
                  "file_name": tfds.features.Text(),
              }
          ),
          supervised_keys=("image", "real_label"),
          homepage="https://github.com/google-research/reassessed-imagenet",
      )
  
file_path: datasets/tensorflow_datasets/datasets/imagenet2012_real/imagenet2012_real_dataset_builder.py
imports: import json
  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