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Dataset · Hugging Face

probkit/CalArena

CalArena — Calibration Benchmark Dataset CalArena is a large-scale benchmark for evaluating post-hoc calibration methods on classification models. It covers 7 benchmarks across tabular and computer vision domains, spanning hundreds of (dataset, model) pairs and three problem types (binary, multiclass and large scale multiclass). Each entry in the benchmark is a (p_cal, y_cal, p_test, y_test) tuple — the calibration split and test split of predicted probabilities and ground-truth… See the full description on the dataset page: https://huggingface.co/datasets/probkit/CalArena.

Author / organizationprobkit
License (as declared)cc-by-4.0
Downloads472 (as reported by Hugging Face)
Likes1
Created27 May 2026
Last updated at source29 May 2026
calibrationpost-hoc calibrationuncertainty quantificationbenchmarktabularcomputer vision
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