Hi @Liuff23 馃
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/2603.12255.
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 great to see that you've already started hosting some artifacts like Spatial-TTT-nano and the 97k dataset on the 馃 hub under the THU-SI organization! It really improves their discoverability and visibility.
I noticed in your README TODO list that you're planning to release the full model checkpoints (larger-scale) and the full training data (dense scene caption data). It'd be awesome to make those available on the hub as well once they are ready.
Uploading models
We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page. See here for a guide: https://huggingface.co/docs/hub/models-uploading.
Uploading dataset
For the full datasets, hosting on 馃 would allow people to do:
from datasets import load_dataset
dataset = load_dataset("THU-SI/your-dataset-name")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 馃
Hi @Liuff23 馃
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/2603.12255.
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 great to see that you've already started hosting some artifacts like Spatial-TTT-nano and the 97k dataset on the 馃 hub under the THU-SI organization! It really improves their discoverability and visibility.
I noticed in your README TODO list that you're planning to release the full model checkpoints (larger-scale) and the full training data (dense scene caption data). It'd be awesome to make those available on the hub as well once they are ready.
Uploading models
We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page. See here for a guide: https://huggingface.co/docs/hub/models-uploading.
Uploading dataset
For the full datasets, hosting on 馃 would allow people to do:
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 馃