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: CFQ contains 239,357 English question-answer pairs that are answerable using the public Freebase data.

A: How big is new question answering dataset?
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Q: The policies trained with the NUS achieved an average success rate (SR) of 94.0% and of 96.6% when tested on the ABUS and the NUS, respectively.

A: by how much did nus outperform abus?
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Q: The second algorithm incorporates recent ideas of data selection in machine translation BIBREF7 . We develop a novel re-weighting method to resolve these problems, using ideas inspired by data selection in machine translation BIBREF26 , BIBREF7 .

A:
What is the data selection paper in machine translation
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