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]: A total of 27 different genres were scraped.
[A]: how many movie genres do they explore?


[Q]: Even if LangID-High does not present a more accurate result, it does present a more compact one: LangID-High is 15.4 MB, while the combined wFST high resource models are 197.5 MB.
[A]: how is model compactness measured?


[Q]: Using DSC loss improves the F1 score by +0.58 for MRPC and +0.73 for QQP.
[A]:
What are method improvements of F1 for paraphrase identification?