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Papers Benchmarks Datasets Tasks

Document Classification research benchmarks – Page 3 · SOTA2 Research

Document Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

0.92AUC

5

Feb 26, 2026

2.91Test Error (%)

5

Feb 26, 2026

24.09Test Error

5

Feb 26, 2026

TWITTER preprocessed (test)

0.04Runtime (min)

5

Feb 26, 2026

REUTERS preprocessed (test)

0.27Runtime (min)

5

Feb 26, 2026

RECIPE preprocessed (test)

0.09Runtime (min)

5

Feb 26, 2026

OHSUMED preprocessed (test)

0.47Runtime (min)

5

Feb 26, 2026

CLASSIC preprocessed (test)

0.24Runtime (min)

5

Feb 26, 2026

BBCSPORT preprocessed (test)

0.01Runtime (min)

5

Feb 26, 2026

AMAZON preprocessed (test)

0.3Runtime (min)

5

Feb 26, 2026

20NEWS preprocessed (test)

1.87Runtime (min)

5

Feb 26, 2026

Yelp 2018 (test)

73.28Accuracy

5

Feb 26, 2026

99Accuracy

5

Feb 26, 2026

65.6Accuracy

5

Feb 26, 2026

Tobacco-3482 100 images per class (train)

90.05Accuracy

5

Feb 26, 2026

DBPedia-14 (test)

Golden Standard

98.43Accuracy

4

Feb 26, 2026

Golden Standard

95.65Accuracy

4

Feb 26, 2026

20 Newsgroup (test)

Golden Standard

0.937Accuracy

4

Feb 26, 2026

BizDocs (held-out)

84.9Accuracy

4

Feb 26, 2026

99.4Accuracy

4

Feb 26, 2026

Prefix-Propagation

83.1Precision

4

Feb 26, 2026

LUN >2048 tokens (test)

79.59Accuracy

4

Feb 26, 2026

HP > 2048 tokens (test)

100Accuracy

4

Feb 26, 2026

69.3F1 (micro)

3

Feb 26, 2026

92.31F1 Micro

3

Feb 26, 2026

Page 3 of 4

Popular datasets

Yelp LUN HP EURLEX Tobacco

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