class_docstr: DatasetBuilder for CIFAR-10N dataset.
class_docstr_tok: ["DatasetBuilder","for","CIFAR-10N","dataset","."]
code: def _cifar_info(self):
      return CifarInfo(
          name=self.name,
          url="https://www.cs.toronto.edu/~kriz/cifar-100-binary.tar.gz",
          train_files=["train.bin"],
          test_files=["test.bin"],
          prefix="cifar-100-binary/",
          label_files=[
              "coarse_label_names.txt",
              "fine_label_names.txt",
          ],
          label_keys=["coarse_label", "label"],
          human_label_path="CIFAR-100_human_annotations.csv",
          side_info_path="side_info_cifar100N.csv",
          annotations_order_path="image_order_c100.npy",
      )
  
file_path: datasets/tensorflow_datasets/image_classification/cifar100_n/cifar100_n.py
imports: from __future__ import annotations
  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 2 for calling the Cifar100N obj's underlying member method code with example usage: obj._cifar_info() and returns: CifarInfo