In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

As a starting point, we used the DIP corpus BIBREF37 , a collection of 49 clusters of 100 web pages on educational topics (e.g. bullying, homeschooling, drugs) with a short description of each topic. 
 Question: Which collections of web documents are included in the corpus?
DIP corpus BIBREF37

he immediate impact of the explicit constraint is avoiding the collapse issue ($D_{KL}=0$) by setting a non-zero positive constraint ($C\ge 0$) on the KL term ($|D_{KL}\big (q_\phi ({z}|{x}) || p({z})\big )-C|$). 
 Question: Why does proposed term help to avoid posterior collapse?
by setting a non-zero positive constraint ($C\ge 0$) on the KL term ($|D_{KL}\big (q_\phi ({z}|{x}) || p({z})\big )-C|$)

Given the relatively small quest length for TextWorld games—games can be completed in as little as 5 steps—we generate 50 such games and partition them into train and test sets in a 4:1 ratio. We choose the game, 9:05 as our target task game due to similarities in structure in addition to the vocabulary overlap.  For the horror domain, we choose Lurking Horror to train the question-answering system on. The source and target task games are chosen as Afflicted and Anchorhead respectively. 
 Question: What games are used to test author's methods?

Lurking Horror Afflicted Anchorhead 9:05 TextWorld games