class_docstr: CIFAR-10.
class_docstr_tok: ["CIFAR-10","."]
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=(
              "The CIFAR-10 dataset consists of 60000 32x32 colour "
              "images in 10 classes, with 6000 images per class. There "
              "are 50000 training images and 10000 test images."
          ),
          features=tfds.features.FeaturesDict(
              {
                  "id": tfds.features.Text(),
                  "image": tfds.features.Image(
                      shape=_CIFAR_IMAGE_SHAPE
                  ),
                  "label": tfds.features.ClassLabel(num_classes=10),
              }
          ),
          supervised_keys=("image", "label"),
          homepage="https://www.cs.toronto.edu/~kriz/cifar.html",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/image_classification/cifar.py
imports: import collections
  import os
  from etils import epath
  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 Cifar10 obj's underlying member method code with example usage: obj._info() and returns: tfds