In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

Q: We found that 51.25% of the gang members collected have a tweet that links to a YouTube video. Following these links, a simple keyword search for the terms gangsta and hip-hop in the YouTube video description found that 76.58% of the shared links are related to hip-hop music, gangster rap, and the culture that surrounds this music genre.

A: What are the differences in the use of YouTube links between gang member and the rest of the Twitter population?
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Q: To fine-tune BERT, we used a proprietary corpus that consists of hundreds of thousands of legal agreements.

A: How big is dataset used for fine-tuning BERT?
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Q: MTMSN BIBREF4 is the first, and only model so far, that specifically tried to tackle the multi-span questions of DROP. 

A:
What is the previous model that attempted to tackle multi-span questions as a part of its design?
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