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.

Q: The dataset consists of 198,112 news articles. 
 Question: How many articles did they have?

A: 198,112
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Q: The contributions of this work are: 
 Question: Do they look for inconsistencies between different UD treebanks?

A: Yes
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Q: We use two datasets for experiments (Table TABREF29 ): (a) STAN INLINEFORM0 , created by BIBREF10 BansalBV15, which consists of 1,108 unique English hashtags from 1,268 randomly selected tweets in the Stanford Sentiment Analysis Dataset BIBREF36 along with their crowdsourced segmentations and our additional corrections; and (b) STAN INLINEFORM1 , our new expert curated dataset, which includes all 12,594 unique English hashtags and their associated tweets from the same Stanford dataset. 
 Question: How is the dataset of hashtags sourced?

A:
1,268 randomly selected tweets in the Stanford Sentiment Analysis Dataset BIBREF36 all 12,594 unique English hashtags and their associated tweets from the same Stanford dataset
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