code: def dataset_adapter() -> DatasetAdapter:
      x = torch.randn(3, 8)
      edge_index = torch.tensor([[0, 1, 1], [1, 0, 2]])
      data = Data(x=x, edge_index=edge_index)
      return DatasetAdapter([data, data, data, data])
  
file_path: pytorch_geometric/test/data/test_datapipes.py
imports: import pytest
  import torch
  from torch_geometric.data import Data
  from torch_geometric.data.datapipes import DatasetAdapter
  from torch_geometric.loader import DataLoader
  from torch_geometric.testing import withPackage
  from torch_geometric.utils import to_smiles
label_desc: Use image node_id 1 for calling a global function with example usage: dataset_adapter() and returns: DatasetAdapter