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]: The joke corpus in this dataset contains thousands of unique jokes of different categories (sci-fi, sports, etc) and types (puns, limerick, etc).
[EX A]: Where did the real production data come from?

[EX Q]: To create our training dataset, we followed an approach similar to LASER. The dataset contains 6 languages: English, Spanish, German, Dutch, Korean and Chinese Mandarin. The dataset was created by using translations provided by Tatoeba and OpenSubtitles BIBREF16.
[EX A]: Which corpus do they use?

[EX Q]: We address the robustness problem on top of GE-FL BIBREF0 , a GE method which leverages labeled features as prior knowledge.
[EX A]:
What background knowledge do they leverage?