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.

Ex Input:
The dataset consists of 198,112 news articles. 
 Question: How many articles did they have?

Ex Output:
198,112


Ex Input:
A few sample advice rules in English (these are converted to first-order logic format and given as input to our algorithm) are presented in Table TABREF11 .  We modified the work of Odom et al. odomAIME15,odomAAAI15 to learn RDNs in the presence of advice. The key idea is to explicitly represent advice in calculating gradients. 
 Question: How do they incorporate human advice?

Ex Output:
by converting human advice to first-order logic format and use as an input to calculate gradient


Ex Input:
For this purpose, we construct a corpus of 172,815 articles from Tagalog Wikipedia which we call WikiText-TL-39 BIBREF18. 
 Question: What other datasets are used?

Ex Output:

WikiText-TL-39