code: def test_dataset(self):
      assert len(self.dataset) == len(self.dataset_with_tokenizer) == 10
      assert [
          key in ["inputs", "input_ids", "attention_mask", "label"]
          for key, value in self.dataset[0].items()
      ]
      assert self.dataset[0]["inputs"] == "this is test number 0"
      assert self.dataset[0]["label"] == 1
      assert self.dataset[0]["input_ids"] is None
      assert self.dataset[0]["attention_mask"] is None
      assert self.dataset.num_classes == 2
  
imports: import unittest
  import pytest
  from torch.utils.data import Dataset
  from transformers import AutoTokenizer
  from baal.active.dataset import ActiveLearningDataset
  from baal.active.dataset.nlp_datasets import HuggingFaceDatasets
  import datasets
label_desc: Use image node_id 2 for calling the HuggingFaceDatasetsTest obj's underlying member method code with example usage: obj.test_dataset() without return types