class_docstr: Dataset class for classifiers from Transformers Integration.
      
class_docstr_tok: ["Dataset","class","for","classifiers","from","Transformers","Integration","."]
code: def x(self, x):
      for i, _x in enumerate(x):
          self._data[i] = (
              _x,
              self._data[i][self.INDEX_MASK],
              self._data[i][self.INDEX_LABEL],
          )
  
imports: import numpy
  from scipy.sparse import csr_matrix
  from small_text.base import LABEL_UNLABELED
  from small_text.data.datasets import check_size, check_target_labels, get_updated_target_labels
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  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 5 for calling the TransformersDataset obj's underlying member method code with example usage: obj.x(x) without return types