code: def get_sbm(root: str, name: str) -> Tuple[Data, int, int]:
      dataset = GNNBenchmarkDataset(
          f"{root}/SBM",
          name,
          split="train",
          pre_transform=T.ToSparseTensor(),
      )
      data = Batch.from_data_list(dataset)
      data.batch = None
      data.ptr = None
      return data, dataset.num_features, dataset.num_classes
  
file_path: DIG/dig/lsgraph/dataset/get_data.py
imports: from typing import Tuple
  import torch
  from torch import Tensor
  import torch_geometric.transforms
  from torch_geometric.data import Data, Batch
  from torch_geometric.datasets import GNNBenchmarkDataset, Yelp, Flickr, Reddit2
  from ogb.nodeproppred import PygNodePropPredDataset
label_desc: Use image node_id 7 for calling a global function with example usage: get_sbm(root, name) and returns: data,  dataset,  dataset