and-dataset is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for and-dataset.
Average F1 is the reported evaluation metric for and-dataset. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | Siamese_MHCA_SA | verified | 0.81 | 2020 | Paper ↗Code ↗ | Looks wrong? |