code: def data_generator():
      for i in range(len(dataset)):
          yield dataset[i]["question"], [
              item
              for item in dataset[i]["answer"]["normalized_aliases"]
          ]
  
file_path: trl/examples/research_projects/tools/triviaqa.py
imports: import os
  from dataclasses import dataclass, field
  from typing import Optional
  import torch
  from datasets import load_dataset
  from peft import LoraConfig
  from transformers import AutoTokenizer, HfArgumentParser, load_tool
  from trl import AutoModelForCausalLMWithValueHead, PPOConfig, PPOTrainer, TextEnvironment
label_desc: Use image node_id 1 for calling a global function with example usage: data_generator() without return types