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]: Previous attempts to annotate QA-SRL initially involved trained annotators BIBREF4 but later resorted to crowdsourcing BIBREF5 to achieve scalability.
[A]: How was the corpus obtained?

[Q]: For the datasets, we use Karpathy and Fei-Fei's split for MS-COCO dataset BIBREF10 .
[A]: What dataset/corpus is this work evaluated over?

[Q]: Further, we employ BLEU score to evaluate the accuracy of generations BIBREF21, and the number of distinct n-gram to evaluate the diversity of generations BIBREF6.
[A]:
How do they measure the diversity of inferences?