code: def collator(data):
      return dict((key, [d[key] for d in data]) for key in data[0])
  
file_path: trl/examples/scripts/ppo.py
imports: from dataclasses import dataclass, field
  from typing import Optional
  import torch
  import tyro
  from accelerate import Accelerator
  from datasets import load_dataset
  from peft import LoraConfig
  from tqdm import tqdm
  from transformers import AutoTokenizer, pipeline
  from trl import AutoModelForCausalLMWithValueHead, AutoModelForSeq2SeqLMWithValueHead, PPOConfig, PPOTrainer, set_seed
  from trl.core import LengthSampler
  from trl.import_utils import is_npu_available, is_xpu_available
label_desc: Use image node_id 2 for calling a global function with example usage: collator(data) and returns: dict