code: def _process_data_list(self) -> List[Data]:
      events = self.process_events()
      events = events - events.min(dim=0, keepdim=True)[0]
  
      data_list = []
      for sub, rel, obj, t in events.tolist():
          data = Data(sub=sub, rel=rel, obj=obj, t=t)
          if self.pre_filter is not None and not self.pre_filter(data):
              continue
          if self.pre_transform is not None:
              data = self.pre_transform(data)
          data_list.append(data)
  
      return data_list
  
imports: from typing import Callable, List, Optional
  import torch
  from torch import Tensor
  from torch_geometric.data import Data, InMemoryDataset, download_url
  from torch_geometric.io import read_txt_array
label_desc: Use image node_id 5 for calling the EventDataset obj's underlying member method code with example usage: obj._process_data_list() and returns: data_list