code: def prepare_sample_text(example):
      """Prepare the text from a sample of the dataset."""
      text = f"Question: {example['question']}\n\nAnswer: {example['response_j']}"
      return text
  
file_path: trl/examples/research_projects/stack_llama/scripts/supervised_finetuning.py
imports: import argparse
  import os
  from accelerate import Accelerator
  from datasets import load_dataset
  from peft import LoraConfig
  from tqdm import tqdm
  from transformers import AutoModelForCausalLM, AutoTokenizer, TrainingArguments, logging, set_seed
  from trl import SFTTrainer
  from trl.trainer import ConstantLengthDataset
label_desc: Use image node_id 4 for calling a global function with example usage: prepare_sample_text(example) and returns: text