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 attention function BIBREF11 is used to compute the similarity score between passages and questions as: INLINEFORM2
[EX A]: Do they use attention?

[EX Q]: The training objective is to minimize the negative likelihood of the aligned unanswerable question $ ilde{q}$ given the answerable question $q$ and its corresponding paragraph $p$ that contains the answer $a$ : L=-(q,q,p,a)DP(q|q,p,a;) where $\mathcal {D}$ is the training corpus and $ heta $ denotes all the parameters. Sequence-to-sequence and pair-to-sequence models are trained with the same objective.
[EX A]: What is the training objective of their pair-to-sequence model?

[EX Q]: The corpus of supervisor assessment has 26972 sentences.
[EX A]:
What is the size of the real-life dataset?