code: def get_random_label():
      keys = [
          "quality",
          "toxicity",
          "humor",
          "creativity",
          "violence",
          "helpfulness",
          "not_appropriate",
      ]
      values = [random.randrange(0, 5) for i in range(len(keys))]
      return ",".join([k + ":" + str(v) for k, v in zip(keys, values)])
  
imports: import json
  import os
  import random
  from functools import partial
  import pytest
  from nemo.collections.nlp.data.language_modeling.megatron.gpt_sft_chat_dataset import GPTSFTChatDataset, get_prompt_template_example
  from nemo.collections.nlp.modules.common.tokenizer_utils import get_nmt_tokenizer
label_desc: Use image node_id 3 for calling a global function with example usage: get_random_label() and returns: str