code: def __init__(
      self, *args, pocket: bool = True, set_name: str = "core", **kwargs
  ):
      super(_PDBBindLoader, self).__init__(*args, **kwargs)
      self.pocket = pocket
      self.set_name = set_name
      if set_name == "general":
          self.name = (
              "pdbbind_v2019_other_PL"  # 'general' set folder name
          )
      elif set_name == "refined":
          self.name = "pdbbind_v2019_refined"
      elif set_name == "core":
          self.name = "pdbbind_v2013_core_set"
  
file_path: deepchem/deepchem/molnet/load_function/pdbbind_datasets.py
imports: import os
  import numpy
  import pandas
  import deepchem
  from deepchem.molnet.load_function.molnet_loader import TransformerGenerator, _MolnetLoader
  from deepchem.data import Dataset
  from typing import List, Optional, Tuple, Union
label_desc: Use image node_id 1 to create a new _PDBBindLoader object from inherited base classes: _MolnetLoader with example: obj = _PDBBindLoader()