diff --git a/.gitignore b/.gitignore
index 1933b04..ba297aa 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,3 +8,6 @@ __pycache__
 *.npz
 eval_model
 eval_data
+
+ShapeNetCore.v2.PC15k*
+checkpoints
\ No newline at end of file
diff --git a/README.md b/README.md
index 92965f6..a906fd2 100644
--- a/README.md
+++ b/README.md
@@ -30,7 +30,7 @@ The code was tested on Unbuntu with Titan RTX.
 
 ## Data
 
-For generation, we use ShapeNet point cloud, which can be downloaded [here](https://github.com/stevenygd/PointFlow).
+For generation, we use ShapeNet point cloud, which can be downloaded [here](https://github.com/stevenygd/PointFlow). Or at `/data/users/lfainsin/PVD/ShapeNetCore.v2.PC15k.zip`.
 
 For completion, we use ShapeNet rendering provided by [GenRe](https://github.com/xiumingzhang/GenRe-ShapeHD).
 We provide script `convert_cam_params.py` to process the provided data.
@@ -43,7 +43,7 @@ $ python convert_cam_params.py --dataroot DATA_DIR --mitsuba_xml_root XML_DIR
 which will create `..._cam_params.npz` in each provided data folder for each view.
 
 ## Pretrained models
-Pretrained models can be downloaded [here](https://drive.google.com/drive/folders/1Q7aSaTr6lqmo8qx80nIm1j28mOHAHGiM?usp=sharing).
+Pretrained models can be downloaded [here](https://drive.google.com/drive/folders/1Q7aSaTr6lqmo8qx80nIm1j28mOHAHGiM?usp=sharing). Or at `/data/users/lfainsin/PVD/checkpoints`.
 
 ## Training: