Hi @trapoom555 🤗

Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

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'd be great to make the checkpoints and dataset available on the 🤗 hub, to improve their discoverability/visibility. I saw in your GitHub README that you are planning to release the ThaiSafetyBench dataset and the ThaiSafetyClassifier model on Hugging Face soon.

Uploading models

See here for a guide: https://huggingface.co/docs/hub/models-uploading.

For your DeBERTa-based classifier, you can easily push the weights using the push_to_hub method from the Transformers library. Alternatively, one can leverage the hf_hub_download one-liner to download a checkpoint from the hub.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.

Uploading dataset

Would be awesome to make the dataset available on 🤗, so that people can do:

from datasets import load_dataset

dataset = load_dataset("trapoom555/ThaiSafetyBench")

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 prompts in the browser.

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

Cheers,

Niels
ML Engineer @ HF 🤗