One problem with correcting the benchmark datasets is that it's important for the algorithms to be robust to labelling errors as well. But having multiple versi

One problem with correcting the benchmark datasets is that it's important for the algorithms to be robust to labelling errors as well. But having multiple versions sounds important anyways.