| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CMMLU | No train | Score81.5 | 32 | 1mo ago | |
| M-HellaSwag | Iso-CTS | Performance1.014 | 13 | 1mo ago | |
| M-ARC | METIS | Normalized Performance1.155 | 13 | 1mo ago | |
| M-MMLU | Task Arithmetic | Normalized Performance1.235 | 13 | 1mo ago | |
| XQuAD (test) | Alpaca-GPT4 + NAIT (MMLU) | Accuracy49.47 | 12 | 4mo ago | |
| TydiQA (test) | Alpaca-GPT4 + NAIT (TydiQA) | Accuracy47.78 | 12 | 4mo ago | |
| Disco-X | Seed2.0 Pro | Score82 | 9 | 23d ago | |
| MMMLU | MMMLU Score91.8 | 9 | 23d ago | ||
| Global PIQA | Score (Global PIQA)95.6 | 9 | 23d ago | ||
| INCLUDE-lite | SDAR | Accuracy57.8 | 5 | 1mo ago | |
| BELEBELE English Language | SDRRL | CES Score66.26 | 5 | 4mo ago | |
| BELEBELE Target Language | SDRRL | CES Performance52.11 | 5 | 4mo ago | |
| Multilingual A | Benchmark Agent | Accuracy98.47 | 1 | 1mo ago |
