class_docstr: Tiny Imagenet Pytorch Dataset
code: def _load_metadata(self) -> bool:
      self.data_folder = self.root / "tiny-imagenet-200"
  
      self.label2id, self.id2label = TinyImagenet.labels2dict(
          self.data_folder
      )
      self.data, self.targets = self.load_data()
      return True
  
file_path: avalanche/avalanche/benchmarks/datasets/tiny_imagenet/tiny_imagenet.py
imports: import csv
  from pathlib import Path
  from typing import List, Optional, Tuple, Union
  from torchvision.datasets.folder import default_loader
  from torchvision.transforms import ToTensor
  from avalanche.benchmarks.datasets import SimpleDownloadableDataset, default_dataset_location
label_desc: Use image node_id 2 for calling the TinyImagenet obj's underlying member method code with example usage: obj._load_metadata() and returns: True