code: def _create_dummy_data(self, data_dir):
      os.makedirs(data_dir, exist_ok=True)
      contents = {"source": "What is love ?", "target": "life"}
      n_lines = {"train": 12, "val": 2, "test": 2}
      for split in ["train", "test", "val"]:
          for field in ["source", "target"]:
              content = "\n".join([contents[field]] * n_lines[split])
              with open(
                  os.path.join(data_dir, f"{split}.{field}"), "w"
              ) as f:
                  f.write(content)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/examples/research_projects/rag/_test_finetune_rag.py
imports: import json
  import logging
  import os
  import sys
  from pathlib import Path
  import finetune_rag
  from transformers.file_utils import is_apex_available
  from transformers.testing_utils import TestCasePlus, execute_subprocess_async, require_ray, require_torch_gpu, require_torch_multi_gpu
label_desc: Use image node_id 1 for calling the RagFinetuneExampleTests obj's underlying member method code with example usage: obj._create_dummy_data(data_dir) without return types