class_docstr: The Reddit dataset from the `"Inductive Representation Learning on
  Large Graphs" <https://arxiv.org/abs/1706.02216>`_ paper, containing
  Reddit posts belonging to different communities.
  
  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.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`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
  
  **STATS:**
  
  .. list-table::
      :widths: 10 10 10 10
      :header-rows: 1
  
      * - #nodes
        - #edges
        - #features
        - #classes
      * - 232,965
        - 114,615,892
        - 602
        - 41
class_docstr_tok: ["The","Reddit","dataset","from","the","`","``","Inductive","Representation","Learning","on","Large","Graphs","''","<","https",":","\/\/arxiv.org\/abs\/1706.02216",">","`","_","paper",",","containing","Reddit","posts","belonging","to","different","communities",".","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.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","`",")","force_reload","(","bool",",","optional",")",":","Whether","to","re-process","the","dataset",".","(","default",":",":","obj",":","`","False","`",")","*","*","STATS",":","*","*","..","list-table",":",":",":","widths",":","10","10","10","10",":","header-rows",":","1","*","-","#","nodes","-","#","edges","-","#","features","-","#","classes","*","-","232,965","-","114,615,892","-","602","-","41"]
code: def processed_file_names(self) -> str:
      return "data.pt"
  
file_path: pytorch_geometric/torch_geometric/datasets/reddit.py
imports: import os
  import os.path
  from typing import Callable, List, Optional
  import numpy
  import scipy.sparse
  import torch
  from torch_geometric.data import Data, InMemoryDataset, download_url, extract_zip
  from torch_geometric.utils import coalesce
label_desc: Use image node_id 3 for calling the Reddit obj's underlying member method code with example usage: obj.processed_file_names() and returns: str