code: def _load_data(self, vocab=True):
      with open(
          os.path.join(self.gen_dir, self.data_file), "rb"
      ) as file:
          self.data = json.load(file)
  
      if vocab:
          self._load_vocab()
  
imports: import io
  import json
  import os
  import pickle
  from collections import Counter, OrderedDict
  from collections import defaultdict
  import numpy
  import torch
  import torch.nn
  from nltk.tokenize import sent_tokenize, word_tokenize
  from torch.utils.data import Dataset
  from torchvision import transforms, models, datasets
label_desc: Use image node_id 10 for calling the CUBSentences obj's underlying member method code with example usage: obj._load_data(vocab) without return types