--- language: - en license: mit size_categories: - 10K

# Summary This is the dataset proposed in our paper [**Image Copy Detection for Diffusion Models**](https://arxiv.org/abs/2410.xxxxx) (NeurIPS 2024). D-Rep consists of 40, 000 image-replica pairs, in which each replica is generated by a diffusion model. The 40, 000 image-replica pairs are manually labeled with 6 replication levels ranging from 0 (no replication) to 5 (total replication). We divide D-Rep into a training set with 90% (36, 000) pairs and a test set with the remaining 10% (4, 000) pairs. # Download ### Automatical Install the [datasets](https://huggingface.co/docs/datasets/en/installation) library first, by: ``` pip install datasets ``` Then it can be downloaded automatically with ```python from datasets import load_dataset dataset = load_dataset('WenhaoWang/D-Rep') ``` ### Manual You can also download each file by ```wget```: ``` wget https://huggingface.co/datasets/WenhaoWang/D-Rep/resolve/main/training_pairs.tar wget https://huggingface.co/datasets/WenhaoWang/D-Rep/resolve/main/test_pairs.tar wget https://huggingface.co/datasets/WenhaoWang/D-Rep/resolve/main/labels.csv ``` # Curators D-Rep is created by [Wenhao Wang](https://wangwenhao0716.github.io/), Dr. [Yifan Sun](https://yifansun-reid.github.io/), [Zhentao Tan](https://scholar.google.com.hk/citations?user=jDsfBUwAAAAJ) and Professor [Yi Yang](https://scholar.google.com/citations?user=RMSuNFwAAAAJ). # License We release our D-Rep under the [MIT license](https://opensource.org/license/mit). # Citation ``` @article{wang2024icdiff, title={Image Copy Detection for Diffusion Models}, author={Wang, Wenhao and Sun, Yifan and Tan, Zhentao and Yang, Yi}, booktitle={Thirty-eighth Conference on Neural Information Processing Systems}, year={2024}, url={https://openreview.net/forum?id=gvlOQC6oP1} } ``` # Contact If you have any questions, feel free to contact Wenhao Wang (wangwenhao0716@gmail.com).