This software is intended to be used in a user study for determining the human baseline performance of classifying suzipu 俗字谱 notation. In this Django-based web-app, each individual user can annotate the provided samples which are taken from the Shanghai MS edition of Baishidaoren Gequ 白石道人歌曲. The annotations and all timestamps corresponding to user actions are collected in a database. Later, the data can be evaluated to gain the average human accuracy in the classification task and the time used.
Run the following command:
docker compose run django python manage.py import_samples --data-file /app/sample_data/dataset_grouped.json