class_docstr: CLEAR Feature Dataset (base class for CLEARFeature)
code: def __getitem__(self, index):
      tensor = self.tensors[index]
      target = self.targets[index]
  
      if self.target_transform is not None:
          target = self.target_transform(target)
  
      return tensor, target
  
imports: from pathlib import Path
  from typing import Optional, Sequence, Tuple, Union, List
  import json
  import os
  import torch
  from torchvision.datasets.folder import default_loader
  from avalanche.benchmarks.datasets import DownloadableDataset, default_dataset_location
  from avalanche.benchmarks.utils import default_flist_reader
  from avalanche.benchmarks.datasets.clear import clear_data
label_desc: Use image node_id 5 for calling the _CLEARFeature obj's underlying member method code with example usage: obj.__getitem__(index) and returns: tensor,  target