class_docstr: The Pascal-PF dataset from the `"Proposal Flow"
  <https://arxiv.org/abs/1511.05065>`_ paper, containing 4 to 16 keypoints
  per example over 20 categories.
  
  Args:
      root (str): Root directory where the dataset should be saved.
      category (str): The category of the images (one of
          :obj:`"Aeroplane"`, :obj:`"Bicycle"`, :obj:`"Bird"`,
          :obj:`"Boat"`, :obj:`"Bottle"`, :obj:`"Bus"`, :obj:`"Car"`,
          :obj:`"Cat"`, :obj:`"Chair"`, :obj:`"Diningtable"`, :obj:`"Dog"`,
          :obj:`"Horse"`, :obj:`"Motorbike"`, :obj:`"Person"`,
          :obj:`"Pottedplant"`, :obj:`"Sheep"`, :obj:`"Sofa"`,
          :obj:`"Train"`, :obj:`"TVMonitor"`)
      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`)
class_docstr_tok: ["The","Pascal-PF","dataset","from","the","`","``","Proposal","Flow","''","<","https",":","\/\/arxiv.org\/abs\/1511.05065",">","`","_","paper",",","containing","4","to","16","keypoints","per","example","over","20","categories",".","Args",":","root","(","str",")",":","Root","directory","where","the","dataset","should","be","saved",".","category","(","str",")",":","The","category","of","the","images","(","one","of",":","obj",":","`","``","Aeroplane","''","`",",",":","obj",":","`","``","Bicycle","''","`",",",":","obj",":","`","``","Bird","''","`",",",":","obj",":","`","``","Boat","''","`",",",":","obj",":","`","``","Bottle","''","`",",",":","obj",":","`","``","Bus","''","`",",",":","obj",":","`","``","Car","''","`",",",":","obj",":","`","``","Cat","''","`",",",":","obj",":","`","``","Chair","''","`",",",":","obj",":","`","``","Diningtable","''","`",",",":","obj",":","`","``","Dog","''","`",",",":","obj",":","`","``","Horse","''","`",",",":","obj",":","`","``","Motorbike","''","`",",",":","obj",":","`","``","Person","''","`",",",":","obj",":","`","``","Pottedplant","''","`",",",":","obj",":","`","``","Sheep","''","`",",",":","obj",":","`","``","Sofa","''","`",",",":","obj",":","`","``","Train","''","`",",",":","obj",":","`","``","TVMonitor","''","`",")","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 download(self) -> None:
      path = download_url(self.url, self.root)
      extract_zip(path, self.root)
      fs.rm(self.raw_dir)
      os.rename(osp.join(self.root, "PF-dataset-PASCAL"), self.raw_dir)
  
file_path: pytorch_geometric/torch_geometric/datasets/pascal_pf.py
imports: import glob
  import os
  import os.path
  from typing import Callable, List, Optional
  import torch
  from torch_geometric.data import Data, InMemoryDataset, download_url, extract_zip
  from torch_geometric.io import fs
label_desc: Use image node_id 4 for calling the PascalPF obj's underlying member method code with example usage: obj.download() without return types