Before revision:  However, we show that it inherently has large variance and it is necessary to report results on multiple sets of few shots for stable results and to guarantee fair comparison of different algorithms. To address this problem, we publish our few-shot sets.
After revision:  However, we show that it inherently has large variance and it is necessary to report results on multiple sets of few shots for six diverse NLP tasks across up to 40 languages. We provide an analysis of success and failure cases of few-shot sets.