code: def __init__(self):
      self.dataset = datasets.Dataset.from_dict(
          {
              "sentence": [
                  f"this is test number {i}" for i in range(10)
              ],
              "label": [
                  "POS" if (i % 2) == 0 else "NEG" for i in range(10)
              ],
          },
          features=datasets.Features(
              {
                  "sentence": datasets.Value("string"),
                  "label": datasets.ClassLabel(2, names=["NEG", "POS"]),
              }
          ),
      )
  
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 1 to create a new MyDataset object from inherited base classes: Dataset with example: obj = MyDataset()