Release Pace-Bench dataset on Hugging Face

Hi @yueqis 🤗

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/2607.02032.
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 Pace-Bench dataset you've released on https://huggingface.co/datasets?
I see you've provided the selected instances in your GitHub repository at https://github.com/neulab/pace/blob/main/scripts/pacebench/selections/abs_fit/selections_C100.csv. Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:

from datasets import load_dataset

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

If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.

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

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

Kind regards,

Niels

Review scripts/pacebench/selections/abs_fit/selections_C100.csv and the linked Hugging Face Datasets loading guide first. Confirm what dataset content should be published and how it should be represented, then upload it to Hugging Face and link it to the paper page; completion is a discoverable dataset that can be loaded with the documented API.