Hi @TianpengAbaAba 🤗
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/2605.29447.
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.
I saw on your GitHub repository that you are currently preparing the RoTS-7B/32B models, the RoTS dataset, and the GUI-RobustEval benchmark for public release. It'd be great to make these checkpoints and datasets available on the 🤗 hub to improve their discoverability and visibility within the AI community. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
Since your models are fine-tuned versions of Qwen2.5-VL, they should be very easy to integrate. We encourage researchers to push each model checkpoint to a separate model repository so that download stats and model cards work effectively. We can then also link the checkpoints directly to the paper page.
Uploading dataset
With 800k high-quality training samples, it would be awesome to make the RoTS dataset available on 🤗 so that people can easily use it:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/RoTS-Dataset")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 trajectory data and screenshots directly in the browser.
Let me know if you're interested or need any help regarding this! Congrats on the ICML Spotlight!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @TianpengAbaAba 🤗
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/2605.29447.
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.
I saw on your GitHub repository that you are currently preparing the RoTS-7B/32B models, the RoTS dataset, and the GUI-RobustEval benchmark for public release. It'd be great to make these checkpoints and datasets available on the 🤗 hub to improve their discoverability and visibility within the AI community. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
Since your models are fine-tuned versions of Qwen2.5-VL, they should be very easy to integrate. We encourage researchers to push each model checkpoint to a separate model repository so that download stats and model cards work effectively. We can then also link the checkpoints directly to the paper page.
Uploading dataset
With 800k high-quality training samples, it would be awesome to make the RoTS dataset available on 🤗 so that people can easily use it:
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 trajectory data and screenshots directly in the browser.
Let me know if you're interested or need any help regarding this! Congrats on the ICML Spotlight!
Cheers,
Niels
ML Engineer @ HF 🤗