Release ABBA-Adapters and datasets on Hugging Face

[NielsRogge]

Hi @RaghavSinghal10 🤗

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/2505.14238.
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, and add GitHub and project page URLs.

It'd be great to make the ABBA-Adapters checkpoints and the datasets mentioned in your README available on the 🤗 hub to improve their discoverability and visibility. I noticed that your GitHub README currently contains XXXX placeholders for several data links. Hosting these on Hugging Face would be a great alternative!

Uploading models (adapters)

Since ABBA is a PEFT-based method, hosting the trained adapter weights on the Hub would be very useful for the community to reproduce your results. You can push each set of adapter weights to a separate model repository.

See here for a guide on uploading: https://huggingface.co/docs/hub/models-uploading. As these are adapters, they are very lightweight and can be easily integrated with the peft library or loaded using the huggingface_hub tools.

Uploading datasets

I noticed placeholders in your README for the fine-tuning and evaluation datasets. It would be awesome to make those available on 🤗 instead of an external link, so that people can do:

from datasets import load_dataset

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

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

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

Cheers,

Niels
ML Engineer @ HF 🤗