Release Visual-ERM training data on Hugging Face #1
Description
Hi @Liuziyu77 🤗
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/2603.13224.
The paper page lets people discuss about your paper and lets them find artifacts about it (your model and benchmark 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 hosted the Visual-ERM model weights and the VC-RewardBench benchmark on the hub! Hosting on Hugging Face gives your work more visibility and enable better discoverability within the multimodal community.
I noticed in your GitHub README that the training data link is currently marked as a "TODO". Would you like to host this dataset on Hugging Face as well?
Hosting it on Hugging Face will allow people to easily load the data using the datasets library:
from datasets import load_dataset
dataset = load_dataset("internlm/your-dataset-name")If you're down, leaving a guide here. Besides that, there's the dataset viewer which allows people to quickly explore the fine-grained discrepancy annotations directly in the browser.
After uploaded, we can also link the training dataset to the paper page so people can discover the full scope of your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels