diff --git a/README.md b/README.md
index 5256efa..6c12a8e 100644
--- a/README.md
+++ b/README.md
@@ -115,7 +115,10 @@ Training progress can be visualized using:
 tensorboard --logdir training-runs/
 ```
 
-Note on datasets: beyond the standard FFHQ and LSUN Church datasets, we train on datasets scraped from flickr. Due to licensing we cannot release this images directly. Please see `datasets/download/download_dataset.sh` for examples on how to download the flickr datasets. You will need to fill in a flickr api key and secret.
+## Datasets
+Beyond the standard FFHQ and LSUN Church datasets, we train on datasets scraped from flickr. Due to licensing we cannot release this images directly. Please see `datasets/download/download_dataset.sh` for examples on how to download the flickr datasets. You will need to fill in a flickr api key and secret. 
+
+For the LSUN Church dataset, you can follow the standard stylegan [data preparation](https://github.com/NVlabs/stylegan3/blob/main/dataset_tool.py) and use the resulting archive for training.
 
 <a name="evaluation"/>
 
diff --git a/datasets/download/download_dataset.sh b/datasets/download/download_dataset.sh
index 4e7471e..f2625d0 100644
--- a/datasets/download/download_dataset.sh
+++ b/datasets/download/download_dataset.sh
@@ -5,4 +5,5 @@ python download_dataset.py --filelist flickr_birds_HR.txt --minsize 512 --maxsiz
 # python download_dataset.py --filelist flickr_birds_LR.txt --minsize 256
 
 ### church HR: min = 1024, no max
+### NOTE: these images were then center cropped for training
 # python download_dataset.py --filelist flickr_church_exteriors_HR.txt --minsize 1024 --download_HR