MecDDI
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-class classification | MecDDI (Scaffold Split) | Accuracy21.97 | 10 | |
| Multi-class classification | MecDDI (Cold Start Split) | Accuracy44.39 | 10 | |
| Multi-class classification | MecDDI (Random Split) | Accuracy95.29 | 10 | |
| DDIE generation | MecDDI (Cold Start Split) | BLEU-299.19 | 8 | |
| DDIE generation | MecDDI (Scaffold Split) | BLEU-20.9917 | 4 | |
| DDIE generation | MecDDI (Random Split) | BLEU-299.63 | 4 |
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