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.

[EX Q]: Our model BiLSTM+CNN(grapheme-level) and BiLSTM+CNN(G)+POS outperforms all other model experimented in OurNepali and ILPRL dataset respectively.
[EX A]: What is the best model?

[EX Q]: We deployed the task on Amazon Mechanical Turk (AMT). To see how reasoning varies across workers, we hire 3 crowdworkers per one instance. We hire reliable crowdworkers with $\ge 5,000$ HITs experiences and an approval rate of $\ge $ 99.0%, and pay ¢20 as a reward per instance.
[EX A]: Did they use any crowdsourcing platform?

[EX Q]: The primary feed for the analysis collected INLINEFORM0 million tweets containing the keywords `breast' AND `cancer'. 
[EX A]:
How were breast cancer related posts compiled from the Twitter streaming API?