code: def collator(data):
      return dict((key, [d[key] for d in data]) for key in data[0])
  
file_path: trl/examples/research_projects/toxicity/scripts/gpt-j-6b-toxicity.py
imports: from dataclasses import dataclass, field
  from typing import Optional
  import torch
  from datasets import load_dataset
  from torch.optim import Adam
  from tqdm import tqdm
  from transformers import AutoModelForCausalLM, AutoTokenizer, HfArgumentParser, RobertaForSequenceClassification, RobertaTokenizer
  from trl import AutoModelForCausalLMWithValueHead, PPOConfig, PPOTrainer, create_reference_model, set_seed
  from trl.core import LengthSampler
label_desc: Use image node_id 2 for calling a global function with example usage: collator(data) and returns: dict