code: def _load_human_labels(path):
      """Loads information from side_info_cifar100N.csv."""
      with tf.io.gfile.GFile(path, "r") as f:
          human_labels_array = np.genfromtxt(
              f, delimiter=",", skip_header=1
          )
      human_labels = {}
      human_labels["noise_label"] = human_labels_array[:, 1]
      return human_labels
  
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 4 for calling a global function with example usage: _load_human_labels(path) and returns: human_labels