Post
I think one of the most important ways you can contribute to open-source machine learning in 2024 is through datasets.
On Monday Argilla and Hugging Face launched #data-is-better-together an experiment focused on collectively building datasets on the Hub.
For our V1 experiment we're aiming to collectively rank 50k prompts!
In the few days since launch we've had:
❤️ 158 people contribute
🚀 2,796 prompts ranked
🤔 How Can You Contribute?
1. Sign up if you don’t have a Hugging Face account (why not!?)
2. Go to this Argilla Space and sign in: DIBT/prompt-collective
3. Read the guidelines and start rating prompts!
You can also join the #data-is-better-together channel in the Hugging Face Discord 🔗 https://discord.com/channels/879548962464493619/1205128865735770142
On Monday Argilla and Hugging Face launched #data-is-better-together an experiment focused on collectively building datasets on the Hub.
For our V1 experiment we're aiming to collectively rank 50k prompts!
In the few days since launch we've had:
❤️ 158 people contribute
🚀 2,796 prompts ranked
🤔 How Can You Contribute?
1. Sign up if you don’t have a Hugging Face account (why not!?)
2. Go to this Argilla Space and sign in: DIBT/prompt-collective
3. Read the guidelines and start rating prompts!
You can also join the #data-is-better-together channel in the Hugging Face Discord 🔗 https://discord.com/channels/879548962464493619/1205128865735770142