Hi @ZFancy 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/2605.26302.
The paper page lets people discuss your paper and find artifacts about it (your datasets or demo for instance). I see you've already claimed the paper鈥攖hat's great!
Would you like to host the AgingBench datasets/scenarios you've released on https://huggingface.co/datasets?
I see you're currently hosting the scenario data directly in your GitHub repository. Hosting on Hugging Face will give the benchmark more visibility and enable better discoverability within the agent research community. It would also allow researchers to easily load the scenarios with a single line of code:
from datasets import load_dataset
# Once uploaded, people can do:
dataset = load_dataset("VITA-Group/AgingBench", "s1_research_literature")If you're down, I'm leaving a guide here: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the sessions and probes for your various scenarios directly in the browser.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work more easily.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @ZFancy 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/2605.26302.
The paper page lets people discuss your paper and find artifacts about it (your datasets or demo for instance). I see you've already claimed the paper鈥攖hat's great!
Would you like to host the AgingBench datasets/scenarios you've released on https://huggingface.co/datasets?
I see you're currently hosting the scenario data directly in your GitHub repository. Hosting on Hugging Face will give the benchmark more visibility and enable better discoverability within the agent research community. It would also allow researchers to easily load the scenarios with a single line of code:
If you're down, I'm leaving a guide here: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the sessions and probes for your various scenarios directly in the browser.
After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work more easily.
Let me know if you're interested or need any guidance!
Kind regards,
Niels