| WiLI 2018 | SAEs Classifier | Precision100 | | 51 | 3d ago |
| ML-SUPERB 10-min Normal | LID-CA-XLSRual | LID Accuracy90.2 | | 18 | 3d ago |
| AfroScope High resource | Cheetah | Macro-F1100 | | 16 | 3d ago |
| ML-SUPERB 1hr Normal | CA-XLSRL,S (TCAC) | Accuracy93.5 | | 10 | 3d ago |
| FLORES+ (devtest) | GlotLID | Loose Accuracy99.98 | | 8 | 3d ago |
| Nordic DSL 50k | GlotLID | Loose Accuracy96.19 | | 8 | 3d ago |
| SLIDE | GlotLID | Loose Accuracy97.2 | | 8 | 3d ago |
| FLEURS SSA 102 (test) | SSA-HuBERT-Large | Accuracy93.7 | | 8 | 3d ago |
| AfroScope-Data Mid resource | Serengeti | Macro F198.67 | | 8 | 3d ago |
| UDHR NLLB 1.0 | GlotLID-M | F1 Score92.7 | | 8 | 3d ago |
| UDHR OpenLID 1.0 | GlotLID-M | F1 Score92.7 | | 8 | 3d ago |
| UDHR FT176 1.0 | GlotLID-M | F1 Score92.7 | | 8 | 3d ago |
| UDHR CLD3 1.0 | GlotLID-M | F1 Score0.952 | | 8 | 3d ago |
| FLORES-200 NLLB 1.0 | GlotLID-M | F1 Score95.4 | | 8 | 3d ago |
| FLORES-200 OpenLID 1.0 | GlotLID-M | F1 Score94.7 | | 8 | 3d ago |
| FLORES-200 FT176 1.0 | GlotLID-M | F1 Score99.1 | | 8 | 3d ago |
| FLORES-200 CLD3 1.0 | GlotLID-M | F1 Score98.3 | | 8 | 3d ago |
| OpenSubtitles | bi-LSTM | wF191.38 | | 8 | 3d ago |
| UDHR n=10,283 (test) | ensemble | FPR0.0045 | | 7 | 3d ago |
| FastSpell n=6,809 (excluding Nynorsk) | ensemble | FPR0.15 | | 7 | 3d ago |
| Song Dataset | PolyLingua | In-domain Acc99.71 | | 7 | 3d ago |
| Amazon Massive | | In-domain Accuracy99.67 | | 7 | 3d ago |
| CommonVoice & Fleurs | Lamer-SSL | Accuracy (eng)100 | | 6 | 3d ago |
| VoxLingua33 | Dasheng 1.2B | Accuracy86 | | 6 | 3d ago |
| FLORES-200 CLD3 label set 77 languages (test) | GlotLID-M | F1 Score99.9 | | 5 | 3d ago |
