Hi @speed 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Papers with Code as yours got featured: https://paperswithcode.co/paper/2606.16613.
The paper page lets people discuss about your paper and lets them find artifacts about it (your trajectories dataset for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add GitHub and project page URLs.
Would you like to host the CoffeeBench agent trajectories dataset on https://huggingface.co/datasets?
I see they are currently hosted on your custom website. Hosting on Hugging Face will give your work more visibility/enable better discoverability, and will also allow people to easily load the trajectories with:
from datasets import load_dataset
dataset = load_dataset("SakanaAI/coffeebench-trajectories")If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the trajectory data in the browser.
After uploaded, we can also link the dataset to the paper page (read here) so people can easily discover your work.
Let me know if you're interested/need any guidance.
Kind regards,
Niels
Hi @speed 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Papers with Code as yours got featured: https://paperswithcode.co/paper/2606.16613.
The paper page lets people discuss about your paper and lets them find artifacts about it (your trajectories dataset for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add GitHub and project page URLs.
Would you like to host the CoffeeBench agent trajectories dataset on https://huggingface.co/datasets?
I see they are currently hosted on your custom website. Hosting on Hugging Face will give your work more visibility/enable better discoverability, and will also allow people to easily load the trajectories with:
If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the trajectory data in the browser.
After uploaded, we can also link the dataset to the paper page (read here) so people can easily discover your work.
Let me know if you're interested/need any guidance.
Kind regards,
Niels