instruction:
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.
question:
The joke corpus in this dataset contains thousands of unique jokes of different categories (sci-fi, sports, etc) and types (puns, limerick, etc).
answer:
Where did the real production data come from?

question:
Following previous studies BIBREF1, we collect event-related microposts from Twitter using 11 and 8 seed events (see Section SECREF2) for CyberAttack and PoliticianDeath, respectively. Unlabeled microposts are collected by using the keyword 'hack' for CyberAttack, while for PoliticianDeath, we use a set of keywords related to 'politician' and 'death' (such as 'bureaucrat', 'dead' etc.)
answer:
Do they report results only on English data?

question:
The final code-mixed tweets were forwarded to a group of three annotators who were university students and fluent in both English and Hindi.
answer:
How many annotators tagged each text?