class_docstr: The ShapeNet part level segmentation dataset from the `"A Scalable
  Active Framework for Region Annotation in 3D Shape Collections"
  <http://web.stanford.edu/~ericyi/papers/part_annotation_16_small.pdf>`_
  paper, containing about 17,000 3D shape point clouds from 16 shape
  categories.
  Each category is annotated with 2 to 6 parts.
  
  Args:
      root (str): Root directory where the dataset should be saved.
      categories (str or [str], optional): The category of the CAD models
          (one or a combination of :obj:`"Airplane"`, :obj:`"Bag"`,
          :obj:`"Cap"`, :obj:`"Car"`, :obj:`"Chair"`, :obj:`"Earphone"`,
          :obj:`"Guitar"`, :obj:`"Knife"`, :obj:`"Lamp"`, :obj:`"Laptop"`,
          :obj:`"Motorbike"`, :obj:`"Mug"`, :obj:`"Pistol"`, :obj:`"Rocket"`,
          :obj:`"Skateboard"`, :obj:`"Table"`).
          Can be explicitly set to :obj:`None` to load all categories.
          (default: :obj:`None`)
      include_normals (bool, optional): If set to :obj:`False`, will not
          include normal vectors as input features to :obj:`data.x`.
          As a result, :obj:`data.x` will be :obj:`None`.
          (default: :obj:`True`)
      split (str, optional): If :obj:`"train"`, loads the training dataset.
          If :obj:`"val"`, loads the validation dataset.
          If :obj:`"trainval"`, loads the training and validation dataset.
          If :obj:`"test"`, loads the test dataset.
          (default: :obj:`"trainval"`)
      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`)
  
  **STATS:**
  
  .. list-table::
      :widths: 10 10 10 10 10
      :header-rows: 1
  
      * - #graphs
        - #nodes
        - #edges
        - #features
        - #classes
      * - 16,881
        - ~2,616.2
        - 0
        - 3
        - 50
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code: def raw_file_names(self) -> List[str]:
      return list(self.category_ids.values()) + ["train_test_split"]
  
file_path: pytorch_geometric/torch_geometric/datasets/shapenet.py
imports: import json
  import os
  import os.path
  from typing import Callable, List, Optional, Union
  import torch
  from torch_geometric.data import Data, InMemoryDataset, download_url, extract_zip
  from torch_geometric.io import fs, read_txt_array
label_desc: Use image node_id 3 for calling the ShapeNet obj's underlying member method code with example usage: obj.raw_file_names() and returns: unknown