code: def preprocess_bert_sentence(self, sentence_str: str) -> List[str]:
      if sentence_str[-1] == ".":
          sentence_str = sentence_str[:-1]
      sentence_str = sentence_str.replace(". ", " [SEP] ")
      sentence_str += " [SEP] "
      sentence_str = re.sub(r"\s+", " ", sentence_str).strip()
      words = sentence_str.split(" ")
      return words
  
imports: import json
  from collections import OrderedDict
  from pathlib import Path
  from typing import List
  import re
  import numpy
  import torch
  import torch.utils.data
  from tqdm import tqdm
  from gluoncv.torch.utils import coot_utils
label_desc: Use image node_id 2 for calling the VideoDatasetFeatures obj's underlying member method code with example usage: obj.preprocess_bert_sentence(sentence_str) and returns: words