class_docstr: The Integrated Crisis Early Warning System (ICEWS) dataset used in
  the, *e.g.*, `"Recurrent Event Network for Reasoning over Temporal
  Knowledge Graphs" <https://arxiv.org/abs/1904.05530>`_ paper, consisting of
  events collected from 1/1/2018 to 10/31/2018 (24 hours time granularity).
  
  Args:
      root (str): Root directory where the dataset should be saved.
      split (str, optional): If :obj:`"train"`, loads the training dataset.
          If :obj:`"val"`, loads the validation dataset.
          If :obj:`"test"`, loads the test dataset. (default: :obj:`"train"`)
      transform (callable, optional): A function/transform that takes in an
          :obj:`torch_geometric.data.Data` object and returns a transformed
          version. The data object will be transformed before every access.
          (default: :obj:`None`)
      pre_transform (callable, optional): A function/transform that takes in
          an :obj:`torch_geometric.data.Data` object and returns a
          transformed version. The data object will be transformed before
          being saved to disk. (default: :obj:`None`)
      pre_filter (callable, optional): A function that takes in an
          :obj:`torch_geometric.data.Data` object and returns a boolean
          value, indicating whether the data object should be included in the
          final dataset. (default: :obj:`None`)
      force_reload (bool, optional): Whether to re-process the dataset.
          (default: :obj:`False`)
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code: def raw_file_names(self) -> List[str]:
      return [f"{name}.txt" for name in ["train", "valid", "test"]]
  
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 4 for calling the ICEWS18 obj's underlying member method code with example usage: obj.raw_file_names() and returns: unknown