In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

Ex Input:
Because of this, we do not claim that this dataset can be considered a ground truth. 
 Question: How is the ground truth for fake news established?

Ex Output:
Ground truth is not established in the paper


Ex Input:
This step entails counting occurrences of all words in the training corpus and sorting them in order of decreasing occurrence. As mentioned, the vocabulary is taken to be the INLINEFORM0 most frequently occurring words, that occur at least some number INLINEFORM1 times. It is implemented in Spark as a straight-forward map-reduce job. 
 Question: Do they perform any morphological tokenization?

Ex Output:
No


Ex Input:
Women represent 33.16% of the speakers, confirming the figures given by the GMMP report BIBREF0. 
 Question: How big is imbalance in analyzed corpora?

Ex Output:

Women represent 33.16% of the speakers