code: def prepare_default_dataset_dpo_modeling() -> pd.DataFrame:
      df = load_dataset("Intel/orca_dpo_pairs")["train"].to_pandas()
      return df
  
file_path: h2o-llmstudio/llm_studio/app_utils/default_datasets.py
imports: import os
  import random
  import re
  import uuid
  import pandas
  from datasets import load_dataset
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: prepare_default_dataset_dpo_modeling() and returns: df