class_docstr: Dataset class for classifiers from Pytorch Integration.
      
docstr: Returns the vocab.
  
  Returns
  -------
  vocab : torchtext.vocab.Vocab
      Vocab object.
docstr_tok: ["Returns","the","vocab",".","Returns","--","--","--","-","vocab",":","torchtext.vocab.Vocab","Vocab","object","."]
code: def vocab(self):
      """Returns the vocab.
  
      Returns
      -------
      vocab : torchtext.vocab.Vocab
          Vocab object.
      """
      return self._vocab
  
imports: import torch
  import numpy
  from abc import ABC, abstractmethod
  from scipy.sparse import csr_matrix
  from small_text.base import LABEL_UNLABELED
  from small_text.data import DatasetView
  from small_text.data.datasets import check_size, check_target_labels, get_updated_target_labels
  from small_text.data.exceptions import UnsupportedOperationException
  from small_text.utils.annotations import experimental
  from small_text.utils.labels import csr_to_list, get_num_labels, list_to_csr
label_desc: Use image node_id 9 for calling the PytorchTextClassificationDataset obj's underlying member method code with example usage: obj.vocab() and returns: self