  Benchmarking recommender system and matrix completion algorithms could be
greatly simplified if the entire matrix was known. We built a \url{sweetrs.org}
platform with $77$ candies and sweets to rank. Over $2000$ users submitted over
$44000$ grades resulting in a matrix with $28\%$ coverage. In this report, we
give the full description of the environment and we benchmark the
\textsc{Soft-Impute} algorithm on the dataset.
