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.

Input: Consider Input: Compared with 2015, our QA-SRL gold yielded 1593 annotations, with 989 core and 604 adjuncts, while theirs yielded 1315 annotations, 979 core and 336 adjuncts.  
 Question: How much more coverage is in the new dataset?

Output: 278 more annotations


Input: Consider Input: For English dataset, we crawl 687 cybersecurity articles from a collection of advanced persistent threats (APT) reports which are published from 2008 to 2018.  
 Question: Where are the cybersecurity articles used in the model sourced from?

Output:  from a collection of advanced persistent threats (APT) reports which are published from 2008 to 2018


Input: Consider Input: The dataset consists of queries and the corresponding image search results. Each token in each query is given a language tag based on the user-set home language of the user making the search on Google Images. 
 Question: Do the images have multilingual annotations or monolingual ones?


Output: monolingual