The apparently low accuracy levels on unseen challenge cases suggest that the synthetic data and challenge generation for low resource dialogue domains can act as a reasonable approximate to real life challenges in such domains.
the more a dialogue model is able to handle these diverse challenges, the more it will be able to handle the unstructured or less structured dialogues in real human-machine interaction.