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.

 More generally, we know little about the types of development issues that different countries prioritise, or whether country-specific factors such as wealth or democracy make countries more likely to push for specific development issues to be put on the global political agenda.  We find that discussion of Topic 2 is not significantly impacted by country-specific factors, such as wealth, population, democracy, levels of ODA, and conflict (although there are regional effects).  
 Question: What are the country-specific drivers of international development rhetoric?
wealth  democracy  population levels of ODA conflict 

Using our methodology, we tagged 10,000 Arabic tweet dataset for offensiveness, where offensive tweets account for roughly 19% of the tweets. Further, we labeled tweets as vulgar or hate speech.  
 Question: How many tweets are in the dataset?
10,000 Arabic tweet dataset 

We use the Fisher Spanish speech corpus BIBREF11, which consists of 819 phone calls, with an average duration of 12 minutes, amounting to a total of 160 hours of data. 
 Question: What language do they look at?

Spanish