How to generate a dataset for question answering from books (like Facebook's bAbI)? I wanted to train a chatbot for answering questions from books. I am trying to use Dynamic Memory Networks to do so.
How can I generate a data set, as Facebook did in the case of bAbI tasks, so that it can tackle a variety of questions on the data set?
If you are talking about "generating" in the sense of generative models , it is pretty tough. since we are still far beyond understanding the actual structure of question-answering.

And even state of the art methods for question answering are also not able to score well on datasets like babi , mostly 16 out of 20 tasks can be solved.