class_docstr: The dev and test set are the same, but the training set has been augmented using the
  other utterances.
  
  Moreover, only 16 candidates are used (including the right one)
code: def get(self, episode_idx, entry_idx=0):
      sample = super().get(episode_idx, entry_idx)
      if self.split != "train":
          return sample
      new_cands = [sample["labels"][0]]
      counter = 0
      while len(new_cands) < self.get_nb_cands():
          if (
              sample["label_candidates"][counter]
              not in sample["labels"]
          ):
              new_cands.append(sample["label_candidates"][counter])
          counter += 1
      sample["label_candidates"] = new_cands
      return sample
  
imports: from parlai.core.teachers import FixedDialogTeacher
  from parlai.utils.io import PathManager
  from .build import build
  import json
  import os
  import random
label_desc: Use image node_id 3 for calling the DSTC7TeacherAugmentedSampled obj's underlying member method code with example usage: obj.get(episode_idx, entry_idx) and returns: sample, sample