While BERT-QC achieves large gains over existing methods on the ARC dataset, here we demonstrate that BERT-QC also matches state-of-the-art performance on TREC BIBREF6 , while surpassing state-of-the-art performance on the GARD corpus of consumer health questions BIBREF3 and MLBioMedLAT corpus of biomedical questions BIBREF4 . 
 Question: Which datasets are used for evaluation?
ARC  TREC GARD  MLBioMedLAT 