data-rule

The single place for every data constraint an experiment must satisfy — dataset provenance (existing → adapted → constructed), clear train / validation / test splits, labels that reflect the target behavior, and the minimum data amount. Use whenever an experiment chooses, adapts, or constructs a dataset, defines splits, or sets a sample size — for phenomenon validation (M0), mechanism exploration, intervention, or…