Release Cheers Training Data on Hugging Face

[NielsRogge]

Hi @PengDa02 🤗

Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2603.12793.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo for instance), you can also claim
the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

It's fantastic to see the ai9stars/Cheers model checkpoint already available on the 🤗 Hub! I also noticed in your GitHub repository's "To-Do List" that you plan to "Release the Training Data" for Cheers.

It'd be great to make this dataset available on the 🤗 Hub as well, to improve its discoverability/visibility.
We can add tags so that people find it when filtering https://huggingface.co/datasets. Hosting the dataset on Hugging Face would allow people to do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")

See here for a guide: https://huggingface.co/docs/datasets/loading.

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.

After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.

Let me know if you're interested/need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗

[PengDa02]

@NielsRogge Hi Niels,

Thank you very much for your interest in our work and for the support! We plan to prioritize open-sourcing the SFT dataset. Thanks again for the suggestion!