Release RICE Billion-scale Candidate Region Dataset on Hugging Face

Hi @anxiangsir 🤗

I'm Niels and work as part of 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/2507.20025.
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.

It's fantastic to see that the pre-trained RICE and MLCD models are already available on Hugging Face!

I noticed that your paper also introduces a "billion-scale candidate region dataset" which is crucial for enhancing region-level visual and OCR capabilities. Would you be interested in hosting this new dataset on https://huggingface.co/datasets as well?
Hosting it on Hugging Face will give you more visibility and enable better discoverability for the data, allowing people to easily use it:

```python
from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")
```

If you're interested, here's a guide to get started: https://huggingface.co/docs/datasets/loading. We also support Webdataset, which is useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.

Additionally, there's the [dataset viewer](https://huggingface.co/docs/hub/en/datasets-viewer) which allows people to quickly explore the first few rows of the data directly in the browser. After it's uploaded, we can also link the dataset to the paper page (read [here](https://huggingface.co/docs/hub/en/model-cards#linking-a-paper)) so people can discover your work more easily.

Let me know if you're interested or need any guidance!

Kind regards,

Niels