code: def create_dataset(self) -> Dataset:
      dataset_file = os.path.join(self.data_dir, "Lipophilicity.csv")
      if not os.path.exists(dataset_file):
          dc.utils.data_utils.download_url(
              url=LIPO_URL, dest_dir=self.data_dir
          )
      loader = dc.data.CSVLoader(
          tasks=self.tasks,
          feature_field="smiles",
          featurizer=self.featurizer,
      )
      return loader.create_dataset(dataset_file, shard_size=8192)
  
file_path: deepchem/deepchem/molnet/load_function/lipo_datasets.py
imports: import os
  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 for calling the _LipoLoader obj's underlying member method code with example usage: obj.create_dataset() and returns: loader