class_docstr: Dataset class for classifiers from Pytorch Integration.
      
docstr: Returns the features.
  
  Returns
  -------
  x : list of Tensor
docstr_tok: ["Returns","the","features",".","Returns","--","--","--","-","x",":","list","of","Tensor"]
code: def x(self):
      """Returns the features.
  
      Returns
      -------
      x : list of Tensor
      """
      return [d[self.INDEX_TEXT] for d in self._data]
  
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 4 for calling the PytorchTextClassificationDataset obj's underlying member method code with example usage: obj.x() and returns: unknown