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]: Impact votes are provided by the users of the platform to evaluate how impactful a particular claim is. Users can pick one of 5 possible impact labels for a particular claim: no impact, low impact, medium impact, high impact and very high impact. While evaluating the impact of a claim, users have access to the full argument context and therefore, they can assess how impactful a claim is in the given context of an argument.
Question: What annotations are available in the dataset?
[EX A]: 5 possible impact labels for a particular claim: no impact, low impact, medium impact, high impact and very high impact

[EX Q]: The primary feed for the analysis collected INLINEFORM0 million tweets containing the keywords 'breast' AND 'cancer'.
Question: How were breast cancer related posts compiled from the Twitter streaming API?
[EX A]: By using keywords 'breast' AND 'cancer' in tweet collecting process.

[EX Q]: A dialog turn from one speaker may not only be a direct response to the other speaker's query, but also likely to be a continuation of his own previous statement. Thus, when modeling turn $k$ in a dialog, we propose to connect the last RNN state of turn $k-2$ directly to the starting RNN state of turn $k$ , instead of letting it to propagate through the RNN for turn $k-1$ .
Question: How long of dialog history is captured?
[EX A]:
two previous turns