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Acoustic feature vectors from frog calls for studying hierarchical species identification.

Chemical descriptors and bee-toxicity labels for preparing an ecotoxicology evaluation protocol.

Truck-system measurements and failure labels for investigating sparse industrial faults.

Auction-verification workload descriptors for examining computational cost prediction.

Vehicle specifications and fuel-use observations for auditing small regression benchmarks.

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.

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