code: def batch_iterator(batch_size=10):
      for _ in tqdm(range(0, args.n_examples, batch_size)):
          yield [
              next(iter_dataset)[args.text_column]
              for _ in range(batch_size)
          ]
  
imports: from arguments import TokenizerTrainingArguments
  from datasets import load_dataset
  from tqdm import tqdm
  from transformers import AutoTokenizer, HfArgumentParser
  from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode
label_desc: Use image node_id 1 for calling a global function with example usage: batch_iterator(batch_size) without return types