code: def get_dataset(num_points):
      name = "ModelNet10"
      path = osp.join(
          osp.dirname(osp.realpath(__file__)), "..", "data", name
      )
      pre_transform = T.NormalizeScale()
      transform = T.SamplePoints(num_points)
  
      train_dataset = ModelNet(
          path,
          name="10",
          train=True,
          transform=transform,
          pre_transform=pre_transform,
      )
      test_dataset = ModelNet(
          path,
          name="10",
          train=False,
          transform=transform,
          pre_transform=pre_transform,
      )
  
      return train_dataset, test_dataset
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_dataset(num_points) and returns: train_dataset,  test_dataset