Hi @npip99 🤗
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/2509.12541.
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.
It's great to see that the zerank-1 and zerank-1-small models are already available on the Hugging Face Hub! This greatly improves their discoverability and usability.
I noticed that your work introduces the zELO method for creating "zELO Annotated Datasets," and you mentioned using a large training dataset of "112,000 queries and 100 documents per query." While the zbench tool is open-sourced for generating this data, it would be awesome to also have a pre-generated, large-scale version of such an annotated dataset available on https://huggingface.co/datasets. This would allow researchers and practitioners to easily load and benchmark their own retrieval systems using your high-quality annotations.
Hosting such a dataset on Hugging Face will give it 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.
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
Hi @npip99 🤗
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/2509.12541.
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.
It's great to see that the
zerank-1andzerank-1-smallmodels are already available on the Hugging Face Hub! This greatly improves their discoverability and usability.I noticed that your work introduces the zELO method for creating "zELO Annotated Datasets," and you mentioned using a large training dataset of "112,000 queries and 100 documents per query." While the
zbenchtool is open-sourced for generating this data, it would be awesome to also have a pre-generated, large-scale version of such an annotated dataset available on https://huggingface.co/datasets. This would allow researchers and practitioners to easily load and benchmark their own retrieval systems using your high-quality annotations.Hosting such a dataset on Hugging Face will give it more visibility/enable better discoverability, and will also allow people to do:
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 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