code: def load_data_with_word2vec(word2vec_list):
      
      # Load and preprocess data
      sentences, labels = load_data_and_labels()
      sentences_padded = pad_sentences(sentences)
      # vocabulary, vocabulary_inv = build_vocab(sentences_padded)
      return build_input_data_with_word2vec(sentences_padded, labels, word2vec_list)
docs: Loads and preprocessed data for the MR dataset.
      Returns input vectors, labels, vocabulary, and inverse vocabulary.