| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| WESAD | Transformer | F1 Score0.9888 | 14 | 1mo ago | |
| OASIS CDR 3-cls n=1324 (5-fold cross-validation) | Artemis | Accuracy57.9 | 11 | 1mo ago | |
| Frustration detection dataset (test) | Accuracy44.1 | 10 | 1mo ago | ||
| CDC Diabetes Health Indicators | Tree of Concepts | Macro-F1 (Full-data UB)0.66 | 7 | 3mo ago | |
| Narratives 54 narratives, 48,640 samples (held-out) | SVAF (neural) | Aligned Accuracy57.8 | 4 | 3mo ago | |
| SSS Real+Syn | Mine-JEPA (ViT-S) | F1 Score (3-class)82 | 3 | 3mo ago |
