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:
First, we adapt a dataset extracted from Freebase, i.e., FB24K, which used by BIBREF26. Then, we collect extra entities and relations that from DBpedia which that they should have at least 100 mentions BIBREF7 and they could link to the entities in the FB24K by the sameAs triples. Finally, we build a datasets named as DBP24K. In addition, we build a game datasets from our game knowledge graph, named as Game30K.
Question: What three datasets are used to measure performance?

Ex Output:
FB24K DBP24K Game30K

Ex Input:
SVMRank is a modification to SVM that assigns scores to each data point and allows the results to be ranked ( BIBREF26 ). We use SVMRank in the experiments below.
Question: what is the supervised model they developed?

Ex Output:
SVMRank

Ex Input:
We built a dataset for the task of hate speech detection in memes with 5,020 images that were weakly labeled into hate or non-hate memes, depending on their source.
Question: How is each instance of the dataset annotated?

Ex Output:
weakly labeled into hate or non-hate memes, depending on their source