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-10-binary.tar.gz",
          train_files=[
              "data_batch_1.bin",
              "data_batch_2.bin",
              "data_batch_3.bin",
              "data_batch_4.bin",
              "data_batch_5.bin",
          ],
          test_files=["test_batch.bin"],
          prefix="cifar-10-batches-bin/",
          label_files=["batches.meta.txt"],
          label_keys=["label"],
          human_label_path="CIFAR-10_human_annotations.csv",
          side_info_path="side_info_cifar10N.csv",
          annotations_order_path="image_order_c10.npy",
      )
  
file_path: datasets/tensorflow_datasets/image_classification/cifar10_n/cifar10_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 Cifar10N obj's underlying member method code with example usage: obj._cifar_info() and returns: CifarInfo