code: def tokenize_function(tokenizer, examples):
      # Remove empty texts
      texts = (
          text
          for text in examples["text"]
          if len(text) > 0 and not text.isspace()
      )
  
      new_examples = {col: [] for col in COLUMN_NAMES}
  
      for text in texts:
          instances = create_instances_from_document(
              tokenizer, text, max_seq_length=512
          )
          for instance in instances:
              for key, value in instance.items():
                  new_examples[key].append(value)
  
      return new_examples
  
imports: import random
  from functools import partial
  import nltk
  from datasets import load_dataset
  from transformers import AlbertTokenizerFast
label_desc: Use image node_id 2 for calling a global function with example usage: tokenize_function(tokenizer, examples) and returns: new_examples