code: def test_tdc_datasets(download_path, source_name):
      test_dataset = BindingDBDataset(
          name=source_name, split="test", path=download_path
      )
      assert isinstance(test_dataset, torch.utils.data.Dataset)
      attributes = ["Drug", "Target", "Y"]
      for attribute in attributes:
          assert attribute in test_dataset.data.columns
      drug, protein, label = test_dataset[0]
      assert drug.dtype == torch.int64
      assert protein.dtype == torch.int64
      assert label.dtype == torch.float32
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_tdc_datasets(download_path, source_name) without return types