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Release AgentStop profiling dataset on Hugging Face #33

@NielsRogge

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@NielsRogge

Hi @dzungvpham 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv regarding AgentStop and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

The paper page lets people discuss about your paper and lets them find artifacts about it (your dataset for instance), you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

Would you like to host the profiling datasets you've released (the agent trajectories and energy measurements) on https://huggingface.co/datasets?
I see you're currently hosting them as a zip file in your GitHub repository. Hosting on Hugging Face will give your work more visibility/enable better discoverability for researchers interested in green AI and on-device agent efficiency. It also allows people to easily load the data:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/AgentStop-Profiling-Data")

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 execution signals and energy metrics directly in the browser.

After uploaded, we can also link the dataset to the paper page (read here) so people can discover your work more easily.

Let me know if you're interested/need any guidance :)

Kind regards,

Niels

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