fahadhafeezofficial/driftcal

DriftCal A synthetic benchmark for testing whether a security-relevant classifier's confidence stays trustworthy under distribution shift — and whether that depends on which mechanism caused the shift. Overview DriftCal is a fully synthetic tabular dataset (305,000 rows) built from a documented, controlled generative process. Every example has a known latent "behavior vector" that determines both its observed features and its true label, which means — unlike… See the full description on the dataset page: https://huggingface.co/datasets/fahadhafeezofficial/driftcal.

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