Hi @dgme-syz 馃
I'm Niels and work as part of 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/2602.03352.
The paper page lets people find artifacts about your work; I noticed you've already created a collection for your pretrained models on the Hub (https://huggingface.co/collections/DGME/pegrl), which is awesome! To make them appear directly on the paper page, you can simply add arxiv:2602.03352 to the metadata of the model cards.
Would you also like to host the datasets you've released on https://huggingface.co/datasets? I see you're currently using NJU Box for them. Hosting on Hugging Face will give the data more visibility and enable better discoverability. It would also allow people to do:
from datasets import load_dataset
dataset = load_dataset("NJUNLP/pegrl-data")If you're interested, you can find a guide here: https://huggingface.co/docs/datasets/loading. Besides the ease of use, there's the dataset viewer which allows people to quickly explore the data in their browser.
After uploading, we can also link the datasets to the paper page so people can discover all your work in one place.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @dgme-syz 馃
I'm Niels and work as part of 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/2602.03352.
The paper page lets people find artifacts about your work; I noticed you've already created a collection for your pretrained models on the Hub (https://huggingface.co/collections/DGME/pegrl), which is awesome! To make them appear directly on the paper page, you can simply add
arxiv:2602.03352to the metadata of the model cards.Would you also like to host the datasets you've released on https://huggingface.co/datasets? I see you're currently using NJU Box for them. Hosting on Hugging Face will give the data more visibility and enable better discoverability. It would also allow people to do:
If you're interested, you can find a guide here: https://huggingface.co/docs/datasets/loading. Besides the ease of use, there's the dataset viewer which allows people to quickly explore the data in their browser.
After uploading, we can also link the datasets to the paper page so people can discover all your work in one place.
Let me know if you're interested or need any guidance!
Kind regards,
Niels