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Release artifacts (SceneSplat model and benchmark) on Hugging Face #2

@NielsRogge

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@NielsRogge

Hi @unique1i 🤗

Niels here from 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/2506.08710.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo 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 fantastic to see that you've already hosted the SceneSplat-49K dataset on the Hub under the GaussianWorld organization! It's a massive contribution to the 3DGS community.

I was wondering if you would also like to host the pre-trained weights for the SceneSplat model and the SceneSplat-Bench dataset on Hugging Face? It'd be great to make them available on the 🤗 hub to improve their discoverability and visibility.

Uploading models

Hosting on Hugging Face (https://huggingface.co/models) will provide better visibility and allow people to find the model through metadata tags. See here for a guide: https://huggingface.co/docs/hub/models-uploading.

In this case, one can leverage the hf_hub_download one-liner to download a checkpoint from the hub.

Uploading datasets

Making the benchmark dataset available on 🤗 would allow people to load it directly via:

from datasets import load_dataset

dataset = load_dataset("GaussianWorld/SceneSplat-Bench")

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 or need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗

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