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: We created our own causal explanation dataset by collecting 3,268 random Facebook status update messages.
Example Output: What types of social media did they consider?

Example Input: SIGHAN Bakeoff defines two types of evaluation settings, closed test limits all the data for learning should not be beyond the given training set, while open test does not take this limitation BIBREF21.
Example Output: What is meant by closed test setting?

Example Input: Our ASR and ST models follow the architecture in berard2018end, but have 3 decoder layers like that in pino2019harnessing.
Example Output:
What is the architecture of their model?