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 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

In addition, we note that our approach can still lead to erroneous facts or even hallucinations. An interesting perspective might be to further constrain the model on the data structure in order to prevent inaccurate of even contradictory descriptions. 
 Question: What future possible improvements are listed?
rther constrain the model on the data structure in order to prevent inaccurate of even contradictory descriptions

A single speaker narrated the 2000 sentences, which took several days.  
 Question: How many annotators participated?

1