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by stu2b50 1070 days ago
I don't think it's a scandal, it's a natural thing that happens when iterating on models. OP doesn't mean they literally train on those tests, but that as a meta-consequence of using those tests as benchmarks, you will adjust the model and hyperparameters in ways that perform better on those tests.

For a particular model you try to minimally do this by separating a test and validation set, but on a meta-meta level, it's easy to see it happening.