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We introduce BIOMRC, a large-scale cloze-style biomedical MRC dataset. Carewas taken to reduce noise, compared to the previous BIOREAD dataset of Pappaset al. (2018). Experiments show that simple heuristics do not perform well onthe new dataset, and that two neural MRC models that had been tested on BIOREADperform much better on BIOMRC, indicating that the new dataset is indeed lessnoisy or at least that its task is more feasible. Non-expert human performanceis also higher on the new dataset compared to BIOREAD, and biomedical expertsperform even better. We also introduce a new BERT-based MRC model, the bestversion of which substantially outperforms all other methods tested, reachingor surpassing the accuracy of biomedical experts in some experiments. We makethe new dataset available in three different sizes, also releasing our code,and providing a leaderboard.

BIOMRC: A Dataset for Biomedical Machine Reading Comprehension