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: 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 compared our multi-turn emotionally engaging dialog model (denoted as MEED) with two baselines—the vanilla sequence-to-sequence model (denoted as S2S) and HRAN.
Example Output: What two baseline models are used?

Example Input: Python package twitterscraper is used to scrap tweets from twitter. 10,478 tweets from the past two years from domains like `sports', `politics', `entertainment' were extracted.
Example Output:
Where did the texts in the corpus come from?