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.

We introduce our proposed diversity, density, and homogeneity metrics with their detailed formulations and key intuitions.
Question: Did they propose other metrics?
Yes

We then show the tweet text and image and we ask them to classify it in one of 6 categories: No attacks to any community, racist, sexist, homophobic, religion based attacks or attacks to other communities.
Question: What annotations are available in the dataset - tweat used hate speach or not?
No attacks to any community racist sexist homophobic religion based attacks attacks to other communities

Noticeably, despite being both based on and integrated into a BERT$_ ext{base}$ model, our architecture even outperforms a standalone BERT$_ ext{large}$ model by a large margin.
Question: What models other than standalone BERT is new model compared to?
Only Bert base and Bert large are compared to proposed approach.