code: def _make_data_pair(
      self,
      first_element: str,
      second_element: str,
      label: Optional[str] = None,
  ):
      first_sentence = Sentence(
          first_element, use_tokenizer=self.use_tokenizer
      )
      second_sentence = Sentence(
          second_element, use_tokenizer=self.use_tokenizer
      )
  
      if self.max_tokens_per_doc > 0:
          first_sentence.tokens = first_sentence.tokens[
              : self.max_tokens_per_doc
          ]
          second_sentence.tokens = second_sentence.tokens[
              : self.max_tokens_per_doc
          ]
  
      data_pair = TextPair(first_sentence, second_sentence)
  
      if label:
          data_pair.add_label(typename=self.label_type, value=label)
  
      return data_pair
  
imports: import logging
  import os
  from pathlib import Path
  from typing import List, Optional, Union
  import flair
  from flair.data import Corpus, DataPair, FlairDataset, Sentence, TextPair, _iter_dataset
  from flair.datasets.base import find_train_dev_test_files
  from flair.file_utils import cached_path, unpack_file, unzip_file
label_desc: Use image node_id 2 for calling the DataPairDataset obj's underlying member method code with example usage: obj._make_data_pair(first_element, second_element, label) and returns: data_pair