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.

Input: Consider Input: Given a news Twitter account, we read its tweets from the account's timeline. Then we sort the tweets by the posting date in ascending way and we split them into $N$ chunks. Each chunk consists of a sorted sequence of tweets labeled by the label of its corresponding account.
Question: Was the approach used in this work to detect fake news fully supervised?

Output: Yes

Input: Consider Input: We evaluate the proposed models on three conversationet dataset such as MojiTalk BIBREF16, PersonaChat BIBREF11, Empathetic-Dialogues BIBREF26.
Question: What three conversational datasets are used for evaluation?

Output: MojiTalk PersonaChat Empathetic-Dialogues

Input: Consider Input: The resulting dataset consists of 22,880 users, 41,094 blogs, and 561,003 posts. Table TABREF2 presents additional statistics of our dataset.
Question: How many users do they look at?
Output: 22,880 users