💥 Ending 2024: A full data annotation journey on the Hugging Face Hub—from raw data to training-ready datasets!

With Argilla 2.6.0, push your data to the Hub from the UI

Let’s make 2025 the year anyone can build more transparent and accountable AI—no coding or model skills needed.

Help shape the future of multilingual Open Source AI!

Join the FineWeb 2 Community Annotation Sprint to create an open training dataset with full transparency and human validation in many languages.

Review datasets in your language and help identify the best sources for training.

Announcing Global-MMLU - an improved MMLU Open dataset with evaluation coverage across 42 languages.

The result of months of work with the goal of advancing Multilingual LLM evaluation.

Built together with the community and amazing collaborators at Cohere4AI, MILA, MIT, and many more.

Super excited to launch the Open Images Preferences @huggingface.bsky.social community sprint

Have fun browsing images generated with the latest OSS models while contributing to the future of Open Source AI

🧵

Let's make AI more inclusive.

At @huggingface.bsky.social we'll launch a huge community sprint soon to build high-quality training datasets for many languages.

We're looking for Language Leads to help with outreach.

Find your language and nominate yourself:
forms.gle/iAJVauUQ3FN8...

"RL with Verifiable Rewards" datasets for math and instruction-following

On/off policy preferences

Persona-driven datasets for math, code, instruction-following (ifeval)

Something big is coming @huggingface.bsky.social — next Monday.

Join the community and contribute to advancing image generation.

Colab for using Qwen-Coder to:

- Build a synthetic code dataset
- Run human eval

colab.research.google.com/drive/1qh7VW...