code: def build_input_data_with_word2vec(sentences, labels, word2vec_list):
      
      x_vec = []
      for sent in sentences:
          vec = []
          for word in sent:
              if word in word2vec_list:
                  vec.append(word2vec_list[word])
              else:
                  vec.append(word2vec_list['</s>'])
          x_vec.append(vec)
      x_vec = np.array(x_vec)
      y_vec = np.array(labels)
      return [x_vec, y_vec]
docs: Map sentences and labels to vectors based on a pretrained word2vec