Hi @ctrl-gaurav 🤗
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/2509.24210.
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 BeyondBench dataset/benchmark you've released on https://huggingface.co/datasets?
I see you're currently using GitHub and PyPI for it. 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("ctrl-gaurav/BeyondBench")Even for dynamic/algorithmic benchmarks, hosting a dataset card on Hugging Face (often using a loading script) provides significantly better visibility and discoverability for the research community. It would allow people to find your work when searching for reasoning benchmarks and enables us to link it directly to your paper page.
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 generated problems in the browser.
Let me know if you're interested/need any guidance!
Kind regards,
Niels
Hi @ctrl-gaurav 🤗
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/2509.24210.
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 BeyondBench dataset/benchmark you've released on https://huggingface.co/datasets?
I see you're currently using GitHub and PyPI for it. Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:
Even for dynamic/algorithmic benchmarks, hosting a dataset card on Hugging Face (often using a loading script) provides significantly better visibility and discoverability for the research community. It would allow people to find your work when searching for reasoning benchmarks and enables us to link it directly to your paper page.
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 generated problems in the browser.
Let me know if you're interested/need any guidance!
Kind regards,
Niels