code: def worker(x):
      sample, cfg = x
      text = get_nested_dict_value(sample, cfg.text_key)
      if cfg.normalize_text:
          text = clean_text(text, cfg.symbols_to_keep)
      return text
  
file_path: NeMo/scripts/tokenizers/get_hf_text_data.py
imports: import os
  from itertools import repeat
  from multiprocessing import Pool
  from pathlib import Path
  import datasets
  from omegaconf import OmegaConf, open_dict
  from nemo.core.config import hydra_runner
  from nemo.utils import logging
label_desc: Use image node_id 3 for calling a global function with example usage: worker(x) and returns: text