The goal of the competition is to develop an algorithm that can successfully answer questions and pass examination test based on information from publicly available data sources. Particpants are provided with test examples that can be used for validation and model learning. Competition solutions are sent to the automatic testing system and evaluated on the hidden set of questions.
Each solution is an archive with code that runs in the Docker container environment. Solution archives are submitted into automatic testing system. Exam tasks with questions are graded automatically, essay writing tasks are graded by professional expert assesors 1-2 times a week. Competition metric is the total exam score on all test questions.
Total prize fund is 3 000 000 ₽!
On top of that there are 2 special nomination awards "Best question solution" and "Best essay solution" that are awarded with 150 000 ₽ each.