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 Input:
The News Category Dataset BIBREF11 is a collection of headlines published by HuffPost BIBREF12 between 2012 and 2018, and was obtained online from Kaggle BIBREF13. The full dataset contains 200k news headlines with category labels, publication dates, and short text descriptions.

Ex Output:
What news dataset was used?


Ex Input:
According the distribution of the sentiment score, the sentiment on Tesla is slightly skewed towards positive during the testing period.

Ex Output:
Do the authors give any examples of major events which draw the public's attention and the impact they have on stock price?


Ex Input:
Knowledge Base Question Answering (KBQA) systems answer questions by obtaining information from KB tuples BIBREF0 , BIBREF1 , BIBREF2 , BIBREF3 , BIBREF4 , BIBREF5

Ex Output:

What does KBQA abbreviate for