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.

[EX Q]: 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.
[EX A]: What dataset is used for this study?

[EX Q]: In all our experiments, we used the out-of-the-box BERT models without any task-specific fine-tuning.
[EX A]: How does their model differ from BERT?

[EX Q]: It thus seems feasible that by using a similar model, we can produce text samples that are conditioned upon a set of user-specified keywords. To illustrate by example, say a user desires the generated output to contain the keywords, $\lbrace subway, manhattan\rbrace $ . 
[EX A]:
What are the user-defined keywords?