diff --git a/README.md b/README.md
index 8995a50..f045725 100644
--- a/README.md
+++ b/README.md
@@ -56,6 +56,9 @@ pip install -e .
 
 Please download the Mip-NeRF 360 dataset from the [official webiste](https://jonbarron.info/mipnerf360/), the NeRF-Synthetic dataset from the [NeRF's official Google Drive](https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1), the preprocessed DTU dataset from [2DGS](https://surfsplatting.github.io/), the proprocessed Tanks and Temples dataset from [here](https://huggingface.co/datasets/ZehaoYu/gaussian-opacity-fields/tree/main). You need to download the ground truth point clouds from the [DTU dataset](https://roboimagedata.compute.dtu.dk/?page_id=36) and save to `dtu_eval/Offical_DTU_Dataset` to evaluate the geometry reconstruction. For the [Tanks and Temples](https://www.tanksandtemples.org/download/) dataset, you need to download the ground truth point clouds, alignments and cropfiles and save to `eval_tnt/TrainingSet`, such as `eval_tnt/TrainingSet/Caterpillar/Caterpillar.ply`.
 
+# Preprocessed Dataset
+The preprocessed surface reconstruction datasets (DTU, BlendedMVS, MobileBrick) are generated using the ground truth poses and triangulation from COLMAP. The datasets have been converted to the COLMAP format. You can download the processed datasets from [gaustudio-dataset](https://cuhko365-my.sharepoint.com/:f:/g/personal/118010378_link_cuhk_edu_cn/En7TRlmsyTtMor40XQlUswMBLy63gqItvrV5z0gRiiXjOg?e=mggVpx).
+
 
 # Training and Evaluation
 ```