sh-islam/ciln-bench-agnews

CILN-Bench: AG-News This is a label noise dataset. We corrupt a 50,000 article noisy-label-train split of AG-News with a known corruption type and severity. Four 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 2 corruption… See the full description on the dataset page: https://huggingface.co/datasets/sh-islam/ciln-bench-agnews.

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