code: def _test():
      dataset = get_training_data()
  
      inspect(tokens=len(dataset.tokens))
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/neox/utils/text_dataset.py
imports: from pathlib import PurePath, Path
  from typing import Optional, List
  import torch
  import torch.utils.data
  from labml import lab
  from labml import monit
  from labml.logger import inspect
  from labml.utils.download import download_file
  from labml_nn.neox.tokenizer import get_tokenizer
label_desc: Use image node_id 3 for calling a global function with example usage: _test() without return types