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.

Input: Consider Input: CFQ contains 239,357 English question-answer pairs that are answerable using the public Freebase data.

Output: How big is new question answering dataset?


Input: Consider Input: Thus, to limit the number of different inputs to the classifier, we wish to reduce the number of distinct word recognition outputs that an attacker can induce, not just the number of words on which the model is “fooled”. We denote this property of a model as its sensitivity.

Output: What does the "sensitivity" quantity denote?


Input: Consider Input: We define the Effective Word Score of score x as

EFWS(x) = N(+x) - N(-x),

where N(x) is the number of words in the tweet with polarity score x.


Output: How is effective word score calculated?