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Hi @sborse3 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and its recent acceptance to NeurIPS 2025 Datasets and Benchmarks Track! I saw your paper featured on Hugging Face's daily papers: https://huggingface.co/papers/2506.20879.
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.
I noticed that your "MultiHuman-Testbench" dataset is a novel benchmark for multi-human image generation. Your data_generation/download_faces.py script also mentions interactions with Hugging Face, suggesting you're already leveraging our infrastructure for parts of the data!
Would you be interested in hosting the entire curated MultiHuman-Testbench dataset (including the facial data and pose conditioning images) on https://huggingface.co/datasets?
Hosting the full dataset on Hugging Face would give it more visibility/enable better discoverability, and would also allow people to easily use it with:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/MultiHuman-Testbench")If you're interested, you can find 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 dataset 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