To be considered as a co-author, 20 contribution points are required. To monitor how many points that you have obtained, the contribution point tracking is now live at this sheet and will be updated regularly (although not automatically, yet)!
Note: The purpose of the point system is not to barrier collaboration, but to reward rare and high-quality dataset entries. We might adjust the point requirement lower to accommodate more co-authorship if needed.
| Contribution type | Demand | Points | Max points | Job description |
|---|---|---|---|---|
| Public Datasheet Submission | As many as possible | 2+bonus | 6 | Submit public datasheet via jotform |
| Private Datasheet Submission | As many as possible | 1 | Submit private datasheet via jotform | |
| Open Access to Private Dataset | As many as possible | 4+bonus | 10 for the high-quality | Only private dataset owners can do this. Upload the data in a public repository and submit the datasheet in jotform. |
| Dataloader Implementation | As many as possible | 3 | 6 for the hard one | Implement dataloader based on the respective dataset's schema and task. |
Submitting a public dataset via jotform is worth a default score of +2. Bonus is applied based on the following conditions:
- modality: +1 pts for speech/vision, +2 pts for others
- language rarity based on https://microsoft.github.io/linguisticdiversity/assets/lang2tax.txt:
- +0 pts for languages in level 3 or above
- +1 pts for languages in level 1 and 2
- +2 pts for languages in level 0 or languages are not mentioned in the list.
Submitting a private dataset via jotform is worth a default score of +1.
Providing open access to the private datasets will be granted +4 points, with a bonus applied based on the following conditions:
- modality: +1 pts for speech/vision, +2 pts for others
- language rarity based on https://microsoft.github.io/linguisticdiversity/assets/lang2tax.txt:
- +0 pts for languages in level 3 or above
- +1 pts for languages in level 1 and 2
- +2 pts for languages in level 0 or languages are not mentioned in the list.
Implementing any data loader is granted +3 pts unless otherwise specified on the GitHub issue. More details here.