In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

However, what we did was more than this, and we also achieved great results on the second-level and third-level senses for the sake of our self-demand for high-quality, finally achieving agreement of 0.85 and Kappa value of 0.83 for these two deeper levels of senses.
How high is the inter-annotator agreement?

We consider 5 major profile attributes for further analysis. These attributes are username, display name, profile image, location and description respectively.
What profile metadata is used for this analysis?

Our model got the first position in the German sub-task with a macro F1 score of 0.62.

What is the performance of the model for the German sub-task A?