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]: 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]: We use GraphParser without paraphrases as our baseline. This gives an idea about the impact of using paraphrases We compare our paraphrasing models with monolingual machine translation based model for paraphrase generation BIBREF24 , BIBREF36 . In particular, we use Moses BIBREF37 to train a monolingual phrase-based MT system on the Paralex corpus. Finally, we use Moses decoder to generate 10-best distinct paraphrases for the test questions.
[EX A]: What are the baselines?

[EX Q]: The bossa-nova and jovem-guarda genres, which have few instances in the dataset, are among the most difficult ones to classify using the model.
[EX A]:
what genre was the most difficult to classify?