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 Input:
To fine-tune BERT, we used a proprietary corpus that consists of hundreds of thousands of legal agreements.

Ex Output:
How big is dataset used for fine-tuning BERT?


Ex Input:
While WSD is predominantly evaluated on English, we are also interested in evaluating our approach on Chinese, to evaluate the effectiveness of our approach in a different language.

Ex Output:
Which language(s) are found in the WSD datasets?


Ex Input:
We use Gaussian Processes as this probabilistic kernelised framework avoids the need for expensive cross-validation for hyperparameter selection

Ex Output:

Why is a Gaussian process an especially appropriate method for this classification problem?