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

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

PROBLEM: We evaluated our model on three benchmark datasets, namely the CNN/DailyMail news highlights dataset BIBREF24, the New York Times Annotated Corpus (NYT; BIBREF25), and XSum BIBREF22.

SOLUTION: What are the datasets used for evaluation?

PROBLEM: In future work we also intend to add these types of studies to the ERP predictions.

Discussion

SOLUTION:
What datasets are used?