code: def df_single_prompt():
      prompt = """when ordering your sandstones, you select which colour scale you would want.
   it could be e.g. a 100% from grey/sand mix, or 80% fra beige/yellow mixed with 20% from black/brown.
    This is all lower case. Can you fix that?"""
      system = """You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can.
  While performing the task think step-by-step and justify your steps."""
      answer = """When ordering your sandstones, you select which color scale you would want. It could be, for example, a 100% from grey/sand mix, or 80% from beige/yellow mixed with 20% from black/brown.
  Step 1: Capitalize the first letter of the sentence.
  Step 2: Correct the spelling of "color" (assuming American English usage).
  Step 3: Replace ", e.g." with "for example" to clarify the sentence.
  Step 4: Capitalize "a" in "100% from a grey/sand mix"
  Step 5: Ensure the proper usage of words and punctuation throughout the revised sentence."""
      return pd.DataFrame(
          {
              "prompt": [prompt],
              "system": [system],
              "answer": [answer],
              "rejected_answer": ["I cannot do that."],
          }
      )
  
file_path: h2o-llmstudio/tests/src/datasets/test_text_dpo_modeling_ds.py
imports: import numpy
  import pandas
  import pytest
  import torch
  from tqdm import tqdm
  from llm_studio.python_configs.text_causal_language_modeling_config import ConfigNLPCausalLMTokenizer
  from llm_studio.python_configs.text_dpo_modeling_config import ConfigDPODataset, ConfigProblemBase
  from llm_studio.src.datasets.text_dpo_modeling_ds import CustomDataset
label_desc: Use image node_id 7 for calling a global function with example usage: df_single_prompt() and returns: pd