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News topic classification research benchmarks · SOTA2 Research

News topic classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

20 Newsgroups 40% Instance-Dependent Noise

85.02Accuracy

24

Feb 26, 2026

20 Newsgroups 20% Instance-Dependent Noise

85.02Accuracy

24

Feb 26, 2026

20 Newsgroups 40% Asymmetric Noise

85.02Accuracy

24

Feb 26, 2026

20 Newsgroups 20% Asymmetric Noise

85.02Accuracy

24

Feb 26, 2026

20 Newsgroups 40% Symmetric Noise

85.02Accuracy

24

Feb 26, 2026

20 Newsgroups 20% Symmetric Noise

85.15Accuracy

24

Feb 26, 2026

AG News 40% Instance-Dependent Noise

89.19Accuracy

13

Feb 26, 2026

AG News 20% Instance-Dependent Noise

91.78Accuracy

13

Feb 26, 2026

AG News 40% Asymmetric Noise

0.914Accuracy

13

Feb 26, 2026

AG News 20% Asymmetric Noise

91.87Accuracy

13

Feb 26, 2026

AG News 20% Symmetric Noise

92.34Accuracy

13

Feb 26, 2026

AGNews (AGN) (train)

89.91Accuracy

10

Feb 26, 2026

Yorùbá News Topic Classification (test)

AfroXLMR-large-76L

0.947F1 Score

6

Apr 8, 2026

AG News 19 (test)

90.99Accuracy

2

Apr 27, 2026

Popular datasets

AG News 20 Newsgroups AGNews Yorùbá News Topic Classification

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