The result on original WikiQA indicates that all three transfer learning methods not only do not improve the results but also hurt the F1-score. These are because other datasets could not add new information to the original dataset or they apparently add some redundant information which are dissimilar to the target dataset. 
 Question: Do transferring hurt the performance is the corpora are not related?
Yes