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.

Example Input: The policies trained with the NUS achieved an average success rate (SR) of 94.0% and of 96.6% when tested on the ABUS and the NUS, respectively.
Example Output: by how much did nus outperform abus?

Example Input: To fine-tune BERT, we used a proprietary corpus that consists of hundreds of thousands of legal agreements.
Example Output: How big is dataset used for fine-tuning BERT?

Example Input: We also measure the usage of words related to people's core values as reported by Boyd et al. boyd2015. The sets of words, or themes, were excavated using the Meaning Extraction Method (MEM) BIBREF10 .
Example Output:
How do they obtain psychological dimensions of people?