code: def sanity_check(
      cls, df: pd.DataFrame, cfg: Any, mode: str = "train"
  ):
      # TODO: Dataset import in UI is currently using text_causal_language_modeling_ds
      check_for_non_int_answers(cfg, df)
  
file_path: h2o-llmstudio/llm_studio/src/datasets/text_causal_classification_ds.py
imports: import logging
  from typing import Any, Dict
  import numpy
  import pandas
  import torch
  from llm_studio.src.datasets.text_causal_language_modeling_ds import CustomDataset
  from llm_studio.src.utils.exceptions import LLMDataException
label_desc: Use image node_id 5 for calling the CustomDataset obj's underlying member method code with example usage: obj.sanity_check(cls, df, cfg, mode) without return types