wikipedia-person-and-animal-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 wikipedia-person-and-animal-dataset.
Rouge is the reported evaluation metric for wikipedia-person-and-animal-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 | VTM | verified | 45.36 | 2020 | Paper ↗Code ↗ | Looks wrong? |
| 02 | KB-to-Language Generation Model | verified | 23.4 | 2018 | Paper ↗Code ↗ | Looks wrong? |
Meteor is the reported evaluation metric for wikipedia-person-and-animal-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 | KB-to-Language Generation Model | verified | 42 | 2018 | Paper ↗Code ↗ | Looks wrong? |
Bleu is the reported evaluation metric for wikipedia-person-and-animal-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 | VTM | verified | 25.22 | 2020 | Paper ↗Code ↗ | Looks wrong? |
| 02 | KB-to-Language Generation Model | verified | 23.2 | 2018 | Paper ↗Code ↗ | Looks wrong? |