Add dataset download script

scripts/download_dataset.py

@@ -0,0 +1,32 @@
+import argparse
+import requests
+from pathlib import Path
+
+classlist = ["Blends", "Ceramic", "Concrete", "Fabric", "Leather", "Marble", "Metal", "Misc", "Plaster", "Plastic", "Stone", "Terracotta", "Wood"]
+
+def download_dataset(base_dir, class_names=None):
+    dset_url = "https://huggingface.co/datasets/gvecchio/MatSynth/resolve/main/maps/"
+
+    classes = class_names.split(",") if class_names else classlist
+    if classes:
+        for split in ["train", "test"]:
+            for class_name in classes:
+                r = requests.get(f"{dset_url}/{split}/{class_name}.zip")
+                with open(base_dir/split/(class_name + ".zip"), "wb") as f:
+                    f.write(r.content)
+                if class_name in ["Ground", "Wood"]:
+                    r = requests.get(dset_url + class_name + ".z01")
+                    with open(base_dir/split/(class_name + ".z01"), "wb") as f:
+                        f.write(r.content)
+    
+if __name__ == "__main__":
+    # Create argument parser
+    parser = argparse.ArgumentParser(description="Download dataset categories.")
+    parser.add_argument("--base_dir", required=True, help="Base directory to save the downloaded files.")
+    parser.add_argument("--class_names", help="Specify the class name to download a specific category.")
+    args = parser.parse_args()
+
+    # Call the download_dataset function with command-line arguments
+    download_dataset(Path(args.base_dir), args.class_names)
+
+# python script.py --base_dir /path/to/save --class_name Leather