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.

[Q]: We aim to find such content in the social media focusing on the tweets.
[A]: Does the dataset contain content from various social media platforms?


[Q]: In task 1, there are two top categories, namely, chit-chat and task-oriented dialogue.
[A]: How many intents were classified?


[Q]: We explore how to utilize additional commonsense knowledge (i.e. rationales) as the input to the task. Like we mentioned in Section SECREF6, we search relevant sentences from the OMCS corpus as the additional distant rationales, and ground truth rationale sentences for dev/test data. The inputs are no longer the concept-sets themselves, but in a form of “[rationales$|$concept-set]” (i.e. concatenating the rationale sentences and original concept-set strings).
[A]:
Are the models required to also generate rationales?