Before revision:  FQuAD is  French Native Reading Comprehension dataset that consists of 25,000+ questions on a set of Wikipedia articles . A baseline model is trained which achieves an F1 score of 88.0\% and an exact match ratio of 77.9\% on the test set.
After revision:  FQuAD is French Native Reading Comprehension dataset that consists of 25,000+ questions on a set of Wikipedia articles that consists of 25,000+ samples for the 1.0 version and 60,000+ samples for the 1.1 version. We train a baseline model which achieves an F1 score of 88.0\% and an exact match ratio of 77.9\% on the test set.