Update README.md

README.md

@@ -29,9 +29,10 @@ language:
 # *Community Forensics: Using Thousands of Generators to Train Fake Image Detectors (CVPR 2025)*
 [Paper](https://arxiv.org/abs/2411.04125)/[Project Page](https://jespark.net/projects/2024/community_forensics/)
 
-*We are currently working on releasing a smaller version of our dataset paired with redistributable "real" data for easier prototyping.*
+*Please also check our [Community Forensics-Small](https://huggingface.co/datasets/OwensLab/CommunityForensics-Small) dataset, which contains approximately 11% of the base dataset and is paired with real data with redistributable licenses.*
 
 *Changes:* \
+*06/06/25: Community Forensics-Small released. Updated BibTeX to be CVPR instead of arXiv.* \
 *04/09/25: Initial version released.*
 
 ## Dataset Summary
@@ -139,7 +140,8 @@ Please check [Hugging Face documentation](https://huggingface.co/docs/datasets/v
 For training a fake image classifier, it is necessary to pair the generated images with "real" images (here, "real" refers to images that are not generated by AI).
 In our [paper](https://arxiv.org/abs/2411.04125), we used 11 different image datasets: [LAION](https://laion.ai/), [ImageNet](https://www.image-net.org/), [COCO](https://cocodataset.org/), [FFHQ](https://github.com/NVlabs/ffhq-dataset), [CelebA](https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html), [MetFaces](https://github.com/NVlabs/metfaces-dataset), [AFHQ-v2](https://github.com/clovaai/stargan-v2/), [Forchheim](https://faui1-files.cs.fau.de/public/mmsec/datasets/fodb/), [IMD2020](https://staff.utia.cas.cz/novozada/db/), [Landscapes HQ](https://github.com/universome/alis), and [VISION](https://lesc.dinfo.unifi.it/VISION/), for sampling the generators and training the classifiers.
 To accurately reproduce our training settings, it is necessary to download all datasets and pair them with the generated images.
-We understand that this may be inconvenient for simple prototyping, and thus are also working on releasing a smaller subset of our dataset, paired with datasets with licenses that allow redistribution (e.g., COCO, FFHQ).
+We understand that this may be inconvenient for simple prototyping, 
+and thus we also release [Community Forensics-Small](https://huggingface.co/datasets/OwensLab/CommunityForensics-Small) dataset, which is paired with real datasets that have redistributable licenses and contains roughly 11% of the base dataset.
 
 # Dataset Creation
 ## Curation Rationale
@@ -171,13 +173,12 @@ We release the dataset with a `cc-by-4.0` license for research purposes only. In
 ## Citation Information
 Please cite our work as below if you used our dataset for your project.
 ```
-@misc{park2024communityforensics,
-    title={Community Forensics: Using Thousands of Generators to Train Fake Image Detectors}, 
-    author={Jeongsoo Park and Andrew Owens},
-    year={2024},
-    eprint={2411.04125},
-    archivePrefix={arXiv},
-    primaryClass={cs.CV},
-    url={https://arxiv.org/abs/2411.04125}, 
+@InProceedings{Park_2025_CVPR,
+    author    = {Park, Jeongsoo and Owens, Andrew},
+    title     = {Community Forensics: Using Thousands of Generators to Train Fake Image Detectors},
+    booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
+    month     = {June},
+    year      = {2025},
+    pages     = {8245-8257}
 }
 ```