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 Q]: We used a dataset provided by Shortir, an Indonesian news aggregator and summarizer company. The dataset contains roughly 20K news articles. Each article has the title, category, source (e.g., CNN Indonesia, Kumparan), URL to the original article, and an abstractive summary which was created manually by a total of 2 native speakers of Indonesian
Question: Did they use a crowdsourcing platform for the summaries?
[EX A]: No

[EX Q]: In this paper, we introduce automatic 'drunk-texting prediction' as a computational task. Given a tweet, the goal is to automatically identify if it was written by a drunk user.
Question: Do the authors equate drunk tweeting with drunk texting?
[EX A]: Yes

[EX Q]: For the competition, we provided 1,000 labeled dialogues from each dataset for training, and 240 unlabeled dialogues from each dataset for evaluation.
Question: What is the size of the second dataset?
[EX A]:
1 000 labeled dialogues for training and 240 unlabeled dialogues for evaluation