How to contribute

[lewtun]

Hello there 👋!

Replicating all parts of DeepSeek's R1 pipeline is going to take a community effort, especially with dataset curation and creation. If you would like to contribute, please explore the issues linked below.

[russellballestrini]

Consider this to have discussion without people creating issues.

https://docs.github.com/en/discussions/quickstart#enabling-github-discussions-on-your-organization

[qgallouedec]

Consider this to have discussion without people creating issues.

https://docs.github.com/en/discussions/quickstart#enabling-github-discussions-on-your-organization

Thanks for the suggestion. Discussions are now open #36

[pepinu]

Linking for visibility: #58

[yawar2050]

Consider this to have discussion without people creating issues.

https://docs.github.com/en/discussions/quickstart#enabling-github-discussions-on-your-organization

This really makes it easier

[Walkier]

Except for helping with dataset and documentation, how can people without access to giant clusters help contribute?

[StEvUgnIn]

Do you mind taking a look at this synthetic curated dataset with artificial knowledge from GPT-3.5?

https://docs.google.com/spreadsheets/d/1iZCuSDTpcH0qJqIOl-34tN7YXjfYfK_CbcLAkEyMJhA/edit?usp=sharing

This could probably help you figure out which data you need to retrieve in order to train R1 and R1-Zero.

[StEvUgnIn]

Could you perhaps explain or track where is Open-R1 currently with steps 1, 2 and 3?

Which tech stack and platform are you planning to use to conduct step 1 (SFT distillation)?