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Generated learning problems for examining how benchmark construction affects classifier comparisons.

Wireless localization simulation descriptors for examining error prediction across configurations.

A rule-generated balance problem that separates memorization from learning a physical decision rule.

Image-derived banknote features for a compact binary classification and robustness exercise.

Air-quality measurements from multiple monitoring stations for auditing spatiotemporal forecasting.

Forecast-model outputs and weather observations for investigating temperature bias correction.

Evaluation harness for code language models with task-specific generation and execution workflows.

Aggregate bicycle-rental counts and contextual covariates for auditing demand forecasts.

Machining measurements for studying industrial condition recognition under grouped acquisition.

Model interpretability algorithms for checking attribution behavior against simple functions with known contributions.

A structured car-rating decision problem useful for checking learned rules against declared categories.

Nanotube configuration coordinates for investigating geometric relaxation surrogates.