code: def cfg_mock():
      cfg = MagicMock()
      cfg.dataset.train_dataframe = "/path/to/train/data"
      cfg.dataset.validation_dataframe = "/path/to/validation/data"
  
      cfg.dataset.system_column = "None"
      cfg.dataset.prompt_column = "prompt"
      cfg.dataset.answer_column = "answer"
  
      cfg.dataset.validation_size = 0.2
      return cfg
  
file_path: h2o-llmstudio/tests/src/utils/test_data_utils.py
imports: import os
  import pathlib
  import random
  import unittest
  from unittest.mock import MagicMock
  import pandas
  import pytest
  from llm_studio.app_utils.default_datasets import prepare_default_dataset_causal_language_modeling
  from llm_studio.src.datasets.conversation_chain_handler import ConversationChainHandler
  from llm_studio.src.utils.data_utils import load_train_valid_data
label_desc: Use image node_id 1 for calling a global function with example usage: cfg_mock() and returns: cfg