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Papers Benchmarks Datasets Tasks

Dialect Identification research benchmarks · SOTA2 Research

Dialect Identification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CTC-DID + fine-tuned SSL

96.01F1 (weighted)

9

Feb 26, 2026

MADAR Arabic 26 (test)

Abu Kwaik & Saad

67F1 Score

8

Apr 7, 2026

Casablanca (test)

CTC-DID + fine-tuned SSL

60.23F1 (weighted)

8

Feb 26, 2026

78.74BH

7

Jul 7, 2026

DSL-ML Spanish 2024 (test)

85F1 Score

7

Apr 7, 2026

MDialBench RBT_model 1.0 (Turn 8)

99.9Accuracy

5

Feb 26, 2026

MDialBench RBT_model 1.0 (Turn 4)

Gemma3-12B-Full

99.7Accuracy

5

Feb 26, 2026

MDialBench RBT_model Turn 2 1.0

99.1Accuracy

5

Feb 26, 2026

MDialBench RBT_model 1.0 (Turn 1)

0.967Accuracy

5

Feb 26, 2026

96.02Accuracy

4

Mar 24, 2026

97.21Accuracy

4

Mar 24, 2026

Hakka Chinese dataset

69.23Accuracy

3

Jun 18, 2026

Popular datasets

MDialBench ADI Casablanca DSL-ML MADAR

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