code: def _get_dataset(self, num_samples=100, num_classes=4):
      return random_text_classification_dataset(
          num_samples,
          max_length=60,
          num_classes=num_classes,
          multi_label=self.multi_label,
      )
  
imports: import unittest
  import pytest
  import torch
  import numpy
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
label_desc: Use image node_id 1 for calling the PytorchClassifierTest obj's underlying member method code with example usage: obj._get_dataset(num_samples, num_classes) and returns: random_text_classification_dataset