code: def __init__(
      self, sentences, tokenizer, max_length, cache_tokenization=False
  ):
      self.tokenizer = tokenizer
      self.sentences = sentences
      self.max_length = max_length
      self.cache_tokenization = cache_tokenization
  
file_path: sentence-transformers/examples/unsupervised_learning/MLM/train_mlm.py
imports: from transformers import AutoModelForMaskedLM, AutoTokenizer
  from transformers import DataCollatorForLanguageModeling, DataCollatorForWholeWordMask
  from transformers import Trainer, TrainingArguments
  import sys
  import gzip
  from datetime import datetime
label_desc: Use image node_id 1 to create a new TokenizedSentencesDataset object  with example: obj = TokenizedSentencesDataset(sentences, tokenizer, max_length, cache_tokenization)