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Dataset · Hugging Face

sh-islam/ciln-bench-adult

CILN-Bench: Adult This is a label noise dataset. We corrupt the UCI Adult noisy-label-train split, 13,566 rows, with a known corruption type and severity. Five trained classifiers, called voters, label the corrupted inputs. Each voter's top class is one vote. The vote shares are the label distribution of the input. The true labels, every voter's softmax and the corruption seeds are included, so you can build any kind of label you want. Settings 5 corruption types.… See the full description on the dataset page: https://huggingface.co/datasets/sh-islam/ciln-bench-adult.

Author / organizationsh-islam
License (as declared)mit
Downloads211 (as reported by Hugging Face)
Likes0
Created18 June 2026
Last updated at source21 September 2026
label-noiseinstance-dependent-noisebenchmarkcorruptionadult
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