code: def __init__(
      self,
      name,
      raw_dir=None,
      random_seed=717,
      train_size=0.7,
      val_size=0.1,
  ):
      assert name in ["gos", "pol"], "Only supports 'gos' or 'pol'."
      self.seed = random_seed
      self.train_size = train_size
      self.val_size = val_size
      url = _get_dgl_url(self.file_urls[name])
      super(GASDataset, self).__init__(
          name=name, url=url, raw_dir=raw_dir
      )
  
file_path: dgl/examples/pytorch/gas/dataloader.py
imports: import os
  import dgl
  import numpy
  import scipy.io
  import torch
  from dgl.data import DGLBuiltinDataset
  from dgl.data.utils import _get_dgl_url, load_graphs, save_graphs
label_desc: Use image node_id 1 to create a new GASDataset object from inherited base classes: DGLBuiltinDataset with example: obj = GASDataset(name, raw_dir, random_seed, train_size, val_size)