class_docstr: CycleGAN dataset.
class_docstr_tok: ["CycleGAN","dataset","."]
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=(
              "A dataset consisting of images from two classes A and "
              "B (For example: horses/zebras, apple/orange,...)"
          ),
          features=tfds.features.FeaturesDict(
              {
                  "image": tfds.features.Image(),
                  "label": tfds.features.ClassLabel(names=["A", "B"]),
              }
          ),
          supervised_keys=("image", "label"),
          homepage="https://junyanz.github.io/CycleGAN/",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/image_classification/cycle_gan.py
imports: import os
  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 CycleGAN obj's underlying member method code with example usage: obj._info() and returns: tfds