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 Input:
We have used a dataset of 14 TDs to conduct our experiments.
Question: Which dataset(s) do they use?

Ex Output:
14 TDs BIBREF15

Ex Input:
We first use state-of-the-art PDTB taggers for our baseline BIBREF13 , BIBREF12 for the evaluation of the causality prediction of our models ( BIBREF12 requires sentences extracted from the text as its input, so we used our parser to extract sentences from the message).
Question: What baselines did they consider?

Ex Output:
state-of-the-art PDTB taggers

Ex Input:
Given that there is no public dataset available with financial intents in Portuguese, we have employed the incremental approach to create our own training set for the Intent Classifier. We have created domain-specific word vectors by considering a set 246,945 documents, corresponding to of 184,001 Twitter posts and and 62,949 news articles, all related to finance .
Question: What datasets are used?

Ex Output:
Custom dataset with user questions; set of documents, twitter posts and news articles, all related to finance.