code: def get_sentences():
      global total_sentence
      global total_tokens
      sentences = []
      with open(join(DATASETS_FOLDER, "LTA", "VNESEScorpus.txt")) as f:
          for i, line in enumerate(f):
              sentences.append(line)
              tokens = tokenize(line)
              total_tokens += len(tokens)
              total_sentence += 1
              if i > 1000:
                  break
  
      print(f"Load {total_sentence} sentences, {total_tokens} tokens")
      print("=========================================")
      return sentences
  
file_path: underthesea/tests/benchmark/benchmark_word_tokenize.py
imports: import cProfile
  import pstats
  from os.path import join
  from underthesea.file_utils import DATASETS_FOLDER
  from underthesea.pipeline.word_tokenize import tokenize
label_desc: Use image node_id 1 for calling a global function with example usage: get_sentences() and returns: sentences