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 retrieved pairs are compared to the gold standard and evaluated using precision at $k$ (P@$k$, evaluating how often the correct translation is within the $k$ retrieved nearest neighbours of the query). Throughout this work we report P@1, which is equivalent to accuracy, but we also provide results with P@5 and P@10 in the Appendix.
[EX A]: What evaluation metrics did they use?

[EX Q]: To fine-tune BERT, we used a proprietary corpus that consists of hundreds of thousands of legal agreements.
[EX A]: How big is dataset used for fine-tuning BERT?

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