QuAC (Question Answering in Context) is a dataset for modeling, understanding, and participating in information seeking dialog. Unlike previous challenges, its questions are often more open-ended, unanswerable, or only meaningful within the dialog context.
To solve this challenge and design models that achieve human-level performance, companies across the world have experimented and submitted their solutions. Notably, Our assemble model ranks 1st place on the QuAC leaderboard 1 at the time of submission (Nov, 9th, 2021)
Check the latest QuAC ranking: Here