Add new datasets to 3P benchmark.

      choice of splitter function, None = using the default splitter

  """

  dataset_loading_functions = {

      'tox21': deepchem.molnet.load_tox21,

      'bace_c': deepchem.molnet.load_bace_classification,

      'bace_r': deepchem.molnet.load_bace_regression,

      'bbbp': deepchem.molnet.load_bbbp,

      'chembl': deepchem.molnet.load_chembl,

      'clearance': deepchem.molnet.load_clearance,

      'clintox': deepchem.molnet.load_clintox,

      'delaney': deepchem.molnet.load_delaney,

      'hiv': deepchem.molnet.load_hiv,

      'hopv': deepchem.molnet.load_hopv,

      'kaggle': deepchem.molnet.load_kaggle,

      'lipo': deepchem.molnet.load_lipo,

      'muv': deepchem.molnet.load_muv,

      'pcba': deepchem.molnet.load_pcba,

      'nci': deepchem.molnet.load_nci,

      'sider': deepchem.molnet.load_sider,

      'toxcast': deepchem.molnet.load_toxcast,

      'kaggle': deepchem.molnet.load_kaggle,

      'delaney': deepchem.molnet.load_delaney,

      'pcba': deepchem.molnet.load_pcba,

      'pdbbind': deepchem.molnet.load_pdbbind_grid,

      'chembl': deepchem.molnet.load_chembl,

      'ppb': deepchem.molnet.load_ppb,

      'qm7': deepchem.molnet.load_qm7_from_mat,

      'qm7b': deepchem.molnet.load_qm7b_from_mat,

      'qm8': deepchem.molnet.load_qm8,

      'qm9': deepchem.molnet.load_qm9,

      'sampl': deepchem.molnet.load_sampl,

      'clintox': deepchem.molnet.load_clintox,

      'hiv': deepchem.molnet.load_hiv

      'sider': deepchem.molnet.load_sider,

      'tox21': deepchem.molnet.load_tox21,

      'toxcast': deepchem.molnet.load_toxcast

  }

  print('-------------------------------------')

  print('Loading dataset: %s' % dataset)