class_docstr: The GOOD-ZINC dataset adapted from `ZINC database
  <https://pubs.acs.org/doi/abs/10.1021/acs.jcim.5b00559>`_.
  
  Args:
      root (str): The dataset saving root.
      domain (str): The domain selection. Allowed: 'scaffold' and 'size'.
      shift (str): The distributional shift we pick. Allowed: 'no_shift', 'covariate', and 'concept'.
      subset (str): The split set. Allowed: 'train', 'id_val', 'id_test', 'val', and 'test'. When shift='no_shift',
          'id_val' and 'id_test' are not applicable.
      generate (bool): The flag for regenerating dataset. True: regenerate. False: download.
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code: def processed_dir(self):
      return osp.join(self.root, self.name, self.domain, "processed")
  
file_path: DIG/dig/oodgraph/good_zinc.py
imports: import os
  import os.path
  import gdown
  import torch
  from munch import Munch
  from torch_geometric.data import InMemoryDataset, extract_zip
label_desc: Use image node_id 5 for calling the GOODZINC obj's underlying member method code with example usage: obj.processed_dir() and returns: osp