Hi @tttonyalpha 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Papers with Code as your paper got featured: https://paperswithcode.co/paper/2606.19297.
The Hugging Face paper page lets people discuss your paper and find related artifacts (your dataset for instance). You can also claim the paper as yours to show it on your public profile, and link your GitHub and project page.
Would you like to host the Act2Answer benchmark dataset and tabletop assets on https://huggingface.co/datasets?
I noticed on your project page that the evaluation assets are marked as "coming soon" with a Hugging Face logo. Hosting them on Hugging Face will give the benchmark more visibility, enable better discoverability, and will also allow people to easily load the dataset:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/Act2Answer")If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, which is very useful for robotics and visual datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, there's the dataset viewer which allows people to quickly explore and preview the first few rows of the data right in the browser.
Once uploaded, we can also link the datasets directly to your paper page (read more here) so people can easily discover your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @tttonyalpha 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Papers with Code as your paper got featured: https://paperswithcode.co/paper/2606.19297.
The Hugging Face paper page lets people discuss your paper and find related artifacts (your dataset for instance). You can also claim the paper as yours to show it on your public profile, and link your GitHub and project page.
Would you like to host the
Act2Answerbenchmark dataset and tabletop assets on https://huggingface.co/datasets?I noticed on your project page that the evaluation assets are marked as "coming soon" with a Hugging Face logo. Hosting them on Hugging Face will give the benchmark more visibility, enable better discoverability, and will also allow people to easily load the dataset:
If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, which is very useful for robotics and visual datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, there's the dataset viewer which allows people to quickly explore and preview the first few rows of the data right in the browser.
Once uploaded, we can also link the datasets directly to your paper page (read more here) so people can easily discover your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels