class_docstr: The MovieLens 1M heterogeneous rating dataset, assembled by GroupLens
  Research from the `MovieLens web site <https://movielens.org>`__,
  consisting of movies (3,883 nodes) and users (6,040 nodes) with
  approximately 1 million ratings between them.
  User ratings for movies are available as ground truth labels.
  Features of users and movies are encoded according to the `"Inductive
  Matrix Completion Based on Graph Neural Networks"
  <https://arxiv.org/abs/1904.12058>`__ paper.
  
  Args:
      root (str): Root directory where the dataset should be saved.
      transform (callable, optional): A function/transform that takes in an
          :obj:`torch_geometric.data.HeteroData` 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.HeteroData` object and returns a
          transformed version. The data object will be transformed before
          being saved to disk. (default: :obj:`None`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
  
  **STATS:**
  
  .. list-table::
      :widths: 20 10 10 10
      :header-rows: 1
  
      * - Node/Edge Type
        - #nodes/#edges
        - #features
        - #tasks
      * - Movie
        - 3,883
        - 18
        -
      * - User
        - 6,040
        - 30
        -
      * - User-Movie
        - 1,000,209
        - 1
        - 1
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code: def raw_file_names(self) -> List[str]:
      return ["movies.dat", "users.dat", "ratings.dat"]
  
file_path: pytorch_geometric/torch_geometric/datasets/movie_lens_1m.py
imports: import os
  import os.path
  from typing import Callable, List, Optional
  import torch
  from torch_geometric.data import HeteroData, InMemoryDataset, download_url, extract_zip
  from torch_geometric.io import fs
label_desc: Use image node_id 2 for calling the MovieLens1M obj's underlying member method code with example usage: obj.raw_file_names() and returns: list