Release TheAgentCompany benchmark on Hugging Face

Hi @li-boxuan 🤗

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,
the paper page is here: https://huggingface.co/papers/2412.14161.
The paper page lets people discuss about your paper and lets them find artifacts about it (your benchmark 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.

It'd be great to also host the benchmark itself on the 🤗 hub, to improve their discoverability/visibility.
We can add tags so that people find them when filtering https://huggingface.co/datasets.

Would be awesome to make the dataset available on 🤗 , so that people can do:

from datasets import load_dataset

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

See here for a guide: 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 data in the browser.

Let me know if you're interested/need any help regarding this!

Kind regards,

Niels
ML Engineer @ HF 🤗

Start with the benchmark artifacts referenced by the repository and review Hugging Face's datasets loading guide and dataset viewer documentation. Publish the benchmark on the Hugging Face Hub so it can be loaded with datasets.load_dataset and browsed in the dataset viewer, with appropriate discoverability tags.