class_docstr: Base Class for GNN Benchmark dataset
  
  Reference: https://github.com/shchur/gnn-benchmark#datasets
class_docstr_tok: ["Base","Class","for","GNN","Benchmark","dataset","Reference",":","https",":","\/\/github.com\/shchur\/gnn-benchmark","#","datasets"]
code: def __init__(
      self,
      name,
      raw_dir=None,
      force_reload=False,
      verbose=False,
      transform=None,
  ):
      _url = _get_dgl_url("dataset/" + name + ".zip")
      super(GNNBenchmarkDataset, self).__init__(
          name=name,
          url=_url,
          raw_dir=raw_dir,
          force_reload=force_reload,
          verbose=verbose,
          transform=transform,
      )
  
imports: import os
  import numpy
  import scipy.sparse
  from ..None import backend, transforms
  from ..convert import graph
  from .dgl_dataset import DGLBuiltinDataset
  from .utils import _get_dgl_url, deprecate_class, deprecate_property, load_graphs, save_graphs
label_desc: Use image node_id 1 to create a new GNNBenchmarkDataset object from inherited base classes: DGLBuiltinDataset with example: obj = GNNBenchmarkDataset(name, raw_dir, force_reload, verbose, transform)