parameters: (word2vec)
return_statement: return build_input_data_with_word2vec(sentences_padded, labels, word2vec)
docstring: Loads and preprocessed data for the MR dataset.
      Returns input vectors, labels, vocabulary, and inverse vocabulary.
docstring_summary: Loads and preprocessed data for the MR dataset.
      Returns input vectors, labels, vocabulary, and inverse vocabulary.
docstring_tokens: Loads and preprocessed data for the MR dataset . Returns input vectors labels vocabulary and inverse vocabulary .
function: def load_data_with_word2vec(word2vec):
      """
      Loads and preprocessed data for the MR dataset.
      Returns input vectors, labels, vocabulary, and inverse vocabulary.
      """
      # 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)
function_tokens: def load_data_with_word2vec ( word2vec ) : # 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 )