Hello,
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Papers with Code and noticed you've already released the awesome Sing-Guard model checkpoints on Hugging Face!
The paper page at HF (https://huggingface.co/papers/2606.22873) lets people discuss your paper and find related artifacts.
I noticed in your GitHub README that the SingGuard-Bench dataset is marked as "Coming soon". Would you like to host the dataset on Hugging Face as well once it is ready for release?
Hosting on Hugging Face will give the benchmark more visibility, enable better discoverability, and will also allow people to easily load it via the datasets library:
from datasets import load_dataset
dataset = load_dataset("inclusionAI/SingGuard-Bench")If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading. We also support Webdataset, which is very useful for image/multimodal datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser. After uploading, we can also link the dataset to the paper page so people can easily find your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hello,
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Papers with Code and noticed you've already released the awesome
Sing-Guardmodel checkpoints on Hugging Face!The paper page at HF (https://huggingface.co/papers/2606.22873) lets people discuss your paper and find related artifacts.
I noticed in your GitHub README that the
SingGuard-Benchdataset is marked as "Coming soon". Would you like to host the dataset on Hugging Face as well once it is ready for release?Hosting on Hugging Face will give the benchmark more visibility, enable better discoverability, and will also allow people to easily load it via the
datasetslibrary:If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading. We also support Webdataset, which is very useful for image/multimodal datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser. After uploading, we can also link the dataset to the paper page so people can easily find your work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels