code: def __init__(self, *args, set: str, **kwargs):
      super(_ChemblLoader, self).__init__(*args, **kwargs)
      self.set = set
  
file_path: deepchem/deepchem/molnet/load_function/chembl_datasets.py
imports: import os
  import deepchem
  from deepchem.molnet.load_function.molnet_loader import TransformerGenerator, _MolnetLoader
  from deepchem.data import Dataset
  from deepchem.molnet.load_function.chembl_tasks import chembl_tasks
  from typing import List, Optional, Tuple, Union
label_desc: Use image node_id 1 to create a new _ChemblLoader object from inherited base classes: _MolnetLoader with example: obj = _ChemblLoader()