Hi @AoiDragon,
Niels here from the open-source team at Hugging Face. Congrats on your work and the ECCV Oral! Discovered it from here: https://huggingface.co/papers/2403.09792 (feel free to claim it as an author).
Would you be interested in providing the dataset on the hub, rather than Google Drive, to improve its usability/discoverability? We can then also link it to the paper page. So that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-username-or-organization/hades-images")See here for a guide: https://huggingface.co/docs/datasets/image_dataset (you can then call dataset.push_to_hub("your-hf-username-or-organization/hades-images") to push it to the hub).
This would make the dataset easier accessible, and also discoverable since you can add metadata tags to a dataset card, like "jailbreaking".
Let us know if you need any help.
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @AoiDragon,
Niels here from the open-source team at Hugging Face. Congrats on your work and the ECCV Oral! Discovered it from here: https://huggingface.co/papers/2403.09792 (feel free to claim it as an author).
Would you be interested in providing the dataset on the hub, rather than Google Drive, to improve its usability/discoverability? We can then also link it to the paper page. So that people can do:
See here for a guide: https://huggingface.co/docs/datasets/image_dataset (you can then call
dataset.push_to_hub("your-hf-username-or-organization/hades-images")to push it to the hub).This would make the dataset easier accessible, and also discoverable since you can add metadata tags to a dataset card, like "jailbreaking".
Let us know if you need any help.
Cheers,
Niels
ML Engineer @ HF 🤗