code: def preprocess(ops, nlp, rows, get_ids):
      
      Xs = []
      ys = []
      for (text1, text2), label in rows:
          Xs.append((get_ids([nlp(text1)])[0], get_ids([nlp(text2)])[0]))
          ys.append(label)
      return Xs, ops.asarray(ys, dtype="float32")
docs: Parse the texts with spaCy. Make one-hot vectors for the labels.