class_docstr: The SHREC 2016 partial matching dataset from the `"SHREC'16: Partial
  Matching of Deformable Shapes"
  <http://www.dais.unive.it/~shrec2016/shrec16-partial.pdf>`_ paper.
  The reference shape can be referenced via :obj:`dataset.ref`.
  
  .. note::
  
      Data objects hold mesh faces instead of edge indices.
      To convert the mesh to a graph, use the
      :obj:`torch_geometric.transforms.FaceToEdge` as :obj:`pre_transform`.
      To convert the mesh to a point cloud, use the
      :obj:`torch_geometric.transforms.SamplePoints` as :obj:`transform` to
      sample a fixed number of points on the mesh faces according to their
      face area.
  
  Args:
      root (str): Root directory where the dataset should be saved.
      partiality (str): The partiality of the dataset (one of :obj:`"Holes"`,
          :obj:`"Cuts"`).
      category (str): The category of the dataset (one of
          :obj:`"Cat"`, :obj:`"Centaur"`, :obj:`"David"`, :obj:`"Dog"`,
          :obj:`"Horse"`, :obj:`"Michael"`, :obj:`"Victoria"`,
          :obj:`"Wolf"`).
      train (bool, optional): If :obj:`True`, loads the training dataset,
          otherwise the test dataset. (default: :obj:`True`)
      transform (callable, optional): A function/transform that takes in an
          :obj:`torch_geometric.data.Data` object and returns a transformed
          version. The data object will be transformed before every access.
          (default: :obj:`None`)
      pre_transform (callable, optional): A function/transform that takes in
          an :obj:`torch_geometric.data.Data` object and returns a
          transformed version. The data object will be transformed before
          being saved to disk. (default: :obj:`None`)
      pre_filter (callable, optional): A function that takes in an
          :obj:`torch_geometric.data.Data` object and returns a boolean
          value, indicating whether the data object should be included in the
          final dataset. (default: :obj:`None`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
code: def raw_file_names(self) -> List[str]:
      return ["training", "test"]
  
file_path: pytorch_geometric/torch_geometric/datasets/shrec2016.py
imports: import glob
  import os
  import os.path
  from typing import Callable, List, Optional
  import torch
  from torch_geometric.data import InMemoryDataset, download_url, extract_zip
  from torch_geometric.io import read_off, read_txt_array
label_desc: Use image node_id 3 for calling the SHREC2016 obj's underlying member method code with example usage: obj.raw_file_names() and returns: list