This is interesting! The ground truth for the study couldn’t have been far removed from the “ground truth”. I am afraid this appears to me as a pattern where an

This is interesting! The ground truth for the study couldn’t have been far removed from the “ground truth”. I am afraid this appears to me as a pattern where any dataset whatsoever is thrown at ML algorithms and the results are heralded as the new way of analyzing data. There is no regard to the source of the data, it’s deficiencies and utter disregard to its applicability to the problem at hand. See the question generation related deep learning papers based on SQUAD dataset.