Update README.md

Added information regarding additional metadata.

README.md

@@ -74,6 +74,8 @@ Our dataset is formatted in a Parquet data frame of the following structure:
 `split`: Train/test split. \
 `label`: Fake/Real label. (1: Fake, 0: Real)
 
+- Additional metadata such as model architecture, hyperparameters, and Hugging Face pipeline used can be found under [data/metadata](https://huggingface.co/datasets/OwensLab/CommunityForensics/tree/main/data/metadata).
+
 ## Data splits
 `Systematic` (1,919,493 images): Systematically downloaded subset of the data (data downloaded from Hugging Face via automatic pipeline) \
 `Manual` (774,023 images): Manually downloaded subset of the data \
@@ -167,6 +169,7 @@ We thank the creators of the many open source models that we used to collect the
 We release the dataset with a `cc-by-4.0` license for research purposes only. In addition, we note that each image in this dataset has been generated by the models with their respective licenses. We therefore provide metadata of all models present in our dataset with their license information. A vast majority of the generators use the [CreativeML OpenRAIL-M license](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE). Please refer to the [metadata](https://huggingface.co/datasets/OwensLab/CommunityForensics/tree/main/data/metadata) for detailed licensing information for your specific application.
 
 ## 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},