class_docstr: Helper class which loads and stores dataset metadata.
  
  Dataset metadata stored by this class contains true labels and target classes
  for all images in the dataset.
class_docstr_tok: ["Helper","class","which","loads","and","stores","dataset","metadata",".","Dataset","metadata","stored","by","this","class","contains","true","labels","and","target","classes","for","all","images","in","the","dataset","."]
docstr: Returns true label for image with given ID.
docstr_tok: ["Returns","true","label","for","image","with","given","ID","."]
code: def get_true_label(self, image_id):
      """Returns true label for image with given ID."""
      return self._true_labels[image_id]
  
file_path: cleverhans/cleverhans_v3.1.0/examples/nips17_adversarial_competition/eval_infra/code/eval_lib/dataset_helper.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import csv
  import hashlib
  import logging
  import os
  import shutil
  import subprocess
  import numpy
  from PIL import Image
  from six import iteritems
label_desc: Use image node_id 2 for calling the DatasetMetadata obj's underlying member method code with example usage: obj.get_true_label(image_id) and returns: self