diff --git a/.vscode/settings.json b/.vscode/settings.json
index ed64833..6efe7f6 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -1,5 +1,5 @@
 {
-  "python.defaultInterpreterPath": "/local_scratch/lfainsin/.conda/envs/pyg/bin/python", // required for python ide tools
+  // "python.defaultInterpreterPath": "/local_scratch/lfainsin/.conda/envs/pyg/bin/python", // required for python ide tools
   "python.terminal.activateEnvironment": false, // or else terminal gets bugged
   "python.analysis.typeCheckingMode": "basic", // get ready to be annoyed
   "python.formatting.provider": "black", // opinionated, fuck off
diff --git a/dataset/rotor37_data.py b/dataset/rotor37_data.py
index 6e247cb..d390926 100644
--- a/dataset/rotor37_data.py
+++ b/dataset/rotor37_data.py
@@ -2,6 +2,7 @@ from pathlib import Path
 
 import datasets
 import h5py
+import numpy as np
 
 DATASET_DIR = Path("/gpfs_new/cold-data/InputData/public_datasets/rotor37/rotor37_1200/")
 H5FILE_TRAIN = DATASET_DIR / "h5" / "blade_meshes_train.h5"
@@ -51,8 +52,17 @@ class Rotor37(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, h5file: Path):
         with h5py.File(h5file, "r") as f:
+            # compute mean and std of positions
+            positions = np.asarray(f["points"])
+            positions_mean = positions.mean(axis=(0, 1))
+            positions_std = positions.std(axis=(0, 1))
+
+            # normalize positions
+            positions = (positions - positions_mean) / positions_std
+
+            # zip attributes
             attributes = zip(
-                f["points"],  # type: ignore
+                positions,
                 f["normals"],  # type: ignore
                 f["output_fields"],  # type: ignore
             )
diff --git a/dataset/test_rotor37_data.py b/dataset/test_rotor37_data.py
index f25852b..dede2d7 100644
--- a/dataset/test_rotor37_data.py
+++ b/dataset/test_rotor37_data.py
@@ -1,11 +1,11 @@
 import datasets
 
-train_ds = datasets.load_dataset("dataset/rotor37_data.py", split="train")
-train_ds = train_ds.with_format("torch")
-print(train_ds)
-
 test_ds = datasets.load_dataset("dataset/rotor37_data.py", split="test")
 test_ds = test_ds.with_format("torch")
 print(test_ds)
 
+train_ds = datasets.load_dataset("dataset/rotor37_data.py", split="train")
+train_ds = train_ds.with_format("torch")
+print(train_ds)
+
 print("yay")
diff --git a/environment.yml b/environment.yml
index 14f7796..364b494 100644
--- a/environment.yml
+++ b/environment.yml
@@ -19,6 +19,7 @@ dependencies:
   - scipy
   - scikit-learn
   - pyvista
+  - h5py
   - datasets
 #---# toolings
   - ruff
diff --git a/train_generation.py b/train_generation.py
index e208afd..a8b53ec 100644
--- a/train_generation.py
+++ b/train_generation.py
@@ -900,7 +900,7 @@ def parse_args():
     parser.add_argument("--gpu", default=None, type=int, help="GPU id to use. None means using all available GPUs.")
 
     """eval"""
-    parser.add_argument("--saveIter", default=100, help="unit: epoch")
+    parser.add_argument("--saveIter", default=100, type=int, help="unit: epoch")
     parser.add_argument("--diagIter", default=50, help="unit: epoch")
     parser.add_argument("--vizIter", default=50, help="unit: epoch")
     parser.add_argument("--print_freq", default=50, help="unit: iter")