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

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

Question: We focus primarily on the smaller data set of 645 hand-labeled articles provided to task participants, both for training and for validation. We pre-trained BERT-base on the 600,000 articles without labels by using the same Cloze task BIBREF5 that BERT had originally used for pre-training.

Answer: How long is the dataset?

Question: Our second submission obtains 82.4 $F_1$ on the official test set, and ranks $4th$ on this shared task.

Answer:
Where did this model place in the final evaluation of the shared task?