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.

One example illustrates that the mistakes the model makes can be associated with changes in the party policy.
Question: Do changes in policies of the political actors account for all of the mistakes the model made?
Yes

Furthermore, the basic seq2seq assumes a strict order between generated tokens, but in reality, we should not severely punish the model when it predicts the correct tokens in the wrong order.
Question: Do they impose any grammatical constraints over the generated output?
No

We are using the dataset of the competition, which includes text from tweets having the aforementioned categories.
Question: What dataset is used for this work?
Twitter dataset provided by the organizers