def preprocess(ops, nlp, rows, get_ids):
    """Parse the texts with spaCy. Make one-hot vectors for the labels."""
    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, to_categorical(ys, nb_classes=2)