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Hi @wzb-bupt 🤗
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/2601.20354.
The paper page lets people discuss your paper and find related artifacts (models, datasets, demos). You can also claim the paper as yours on your public HF profile and add your GitHub/project page URLs.
It would be fantastic to make the artifacts you've introduced available on the 🤗 Hub to improve their visibility and discoverability. Specifically, hosting the SpatialGenEval benchmark, the SpatialT2I dataset, and the fine-tuned checkpoints for SD-XL, Uniworld-V1, and OmniGen2 would be a great resource for the community.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
We encourage researchers to push each model checkpoint to a separate model repository. This allows people to find them easier via tags and lets us link them directly to your paper page.
Uploading datasets
Making your datasets available on 🤗 would allow people to easily explore them via the dataset viewer and load them with a single line of code:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/SpatialT2I")See here for a guide: https://huggingface.co/docs/datasets/loading.
Let me know if you're interested or need any help with the process!
Cheers,
Niels
ML Engineer @ HF 🤗