RCV
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-label classification | rcv subset3 | Macro-AUC92.2 | 32 | |
| Multi-label classification | RCV subset2 | Ranking Loss0.0505 | 32 | |
| Crosslingual Document Classification | RCV1 RCV2 DE -> EN 1,000 documents per language (test) | Accuracy84.4 | 27 | |
| Crosslingual Document Classification | RCV1 RCV2 EN -> DE 1,000 documents per language (test) | Accuracy92.7 | 27 | |
| Multi-label Classification | rcv subset2 | Macro-AUC93.46 | 24 | |
| Multi-label Classification | RCV subset1 | Macro-AUC93.51 | 24 | |
| Multi-label Classification | rcv subset1 | Ranking Loss0.0458 | 24 | |
| Multi-label classification | RCV subset3 | Macro-F126.63 | 24 | |
| Multi-label classification | RCV subset2 | Macro-F128.24 | 24 | |
| Multi-label classification | RCV subset1 | Macro-F129.03 | 24 |
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