Totally agree - it's hard to say which sequence architecture works best for your problem (are there long term dependencies, do they exist at multiple levels of scale, etc) and dataset size.

Convolutions are cheap to compute and can be more efficient on smaller data but it's also possible that a CNN outperforms when you have a small dataset and an RNN when you have a larger dataset.