class_docstr: CLEAR Base Dataset for downloading / loading metadata
code: def _download_error_message(self) -> str:
      all_urls = [
          os.path.join(item[1], item[0])
          for item in getattr(self.module, self.data_name)
      ]
  
      base_msg = (
          f"[{self.data_name}] Direct download may no longer be supported!\n"
          "You should download data manually using the following links:\n"
      )
  
      for url in all_urls:
          base_msg += url
          base_msg += "\n"
  
      base_msg += "and place these files in " + str(self.root)
  
      return base_msg
  
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 6 for calling the CLEARDataset obj's underlying member method code with example usage: obj._download_error_message() and returns: base_msg