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: This paper explores the potential of predicting a user's industry the aggregate of enterprises in a particular field by identifying industry indicative text in social media.
Example Output: What do they mean by a person's industry?

Example Input: For our classification experiments, we use the MH17 Twitter dataset introduced by BIBREF4, a dataset collected in order to study the flow of (dis)information about the MH17 plane crash on Twitter.
Example Output: What dataset is used for this study?

Example Input: We hypothesized that question answering can benefit from synergistic interaction between the two tasks through parameter sharing and joint training under this multitask setting.
Example Output:
Which components of QA and QG models are shared during training?