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.

[Q]: In order to evaluate the models trained on generated data, we manually annotated a named entities dataset comprising 53453 tokens and 2566 sentences selected from over 250 news texts from ilur.am.
[A]: what is the source of the news sentences?


[Q]: Therefore, we used the crowdsourcing platform CrowdFlower (CF) for our data collection.
[A]: How was this data collected?


[Q]: Fig. FIGREF4 shows the distributions of seven question types grouped deterministically from the lexicons.
[A]:
How many question types do they find in the datasets analyzed?