Hi @jarridrb 🤗
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/2604.05181.
The paper page lets people discuss your work and find associated artifacts; you can also claim the paper as yours, which will show it on your public profile and allow you to add project links.
It's great to see that you've already hosted the DISCO model and the benchmark results on the Hub under the DISCO-Design organization!
I noticed that the Studio-179 benchmark (the 179 curated ligands) is currently hosted in the GitHub repository. Would you like to also host this as a standalone dataset on https://huggingface.co/datasets?
Hosting it on Hugging Face would improve the visibility of the benchmark for the AI-for-Science community and allow researchers to easily load the targets:
from datasets import load_dataset
dataset = load_dataset("DISCO-Design/Studio-179")Additionally, the dataset viewer would allow people to explore the ligand data directly in the browser. We can also link it to the paper page to centralize all your research artifacts.
If you're interested, you can find a guide on uploading datasets here: https://huggingface.co/docs/datasets/loading.
Let me know if you have any questions!
Kind regards,
Niels
ML Engineer @ HF 🤗
Hi @jarridrb 🤗
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/2604.05181.
The paper page lets people discuss your work and find associated artifacts; you can also claim the paper as yours, which will show it on your public profile and allow you to add project links.
It's great to see that you've already hosted the DISCO model and the benchmark results on the Hub under the
DISCO-Designorganization!I noticed that the Studio-179 benchmark (the 179 curated ligands) is currently hosted in the GitHub repository. Would you like to also host this as a standalone dataset on https://huggingface.co/datasets?
Hosting it on Hugging Face would improve the visibility of the benchmark for the AI-for-Science community and allow researchers to easily load the targets:
Additionally, the dataset viewer would allow people to explore the ligand data directly in the browser. We can also link it to the paper page to centralize all your research artifacts.
If you're interested, you can find a guide on uploading datasets here: https://huggingface.co/docs/datasets/loading.
Let me know if you have any questions!
Kind regards,
Niels
ML Engineer @ HF 🤗