diff --git a/data/QUGS/convert.py b/data/QUGS/convert.py
new file mode 100644
index 0000000..4eed1e9
--- /dev/null
+++ b/data/QUGS/convert.py
@@ -0,0 +1,63 @@
+import pandas as pd
+import os
+import sys
+from colorama import Fore, Style, init
+
+def create_damage_files(base_path, output_base):
+    # Initialize colorama
+    init(autoreset=True)
+    
+    # Generate column labels based on expected duplication in input files
+    columns = ['Real'] + [f'Real.{i}' for i in range(1, 30)]  # Explicitly setting column names
+
+    sensor_end_map = {1: 'Real.25', 2: 'Real.26', 3: 'Real.27', 4: 'Real.28', 5: 'Real.29'}
+
+    # Define the damage scenarios and the corresponding original file indices
+    damage_scenarios = {
+        1: range(6, 11),  # Damage 1 files from zzzAD6.csv to zzzAD10.csv
+        2: range(11, 16), # Damage 2 files from zzzAD11.csv to zzzAD15.csv
+        3: range(16, 21), # Damage 3 files from zzzAD16.csv to zzzAD20.csv
+        4: range(21, 26)  # Damage 4 files from zzzAD21.csv to zzzAD25.csv
+    }
+
+    for damage, files in damage_scenarios.items():
+        for i, file_index in enumerate(files, start=1):
+            # Load original data file
+            file_path = os.path.join(base_path, f'zzzAD{file_index}.TXT')
+            df = pd.read_csv(file_path, sep='\t', skiprows=10)  # Read with explicit column names
+
+            top_sensor = columns[damage-1]
+            print(top_sensor, type(top_sensor))
+            output_file_1 = os.path.join(output_base, f'DAMAGE_{damage}', f'D{damage}_TEST{i}_01.csv')
+            print(f"Creating {output_file_1} from taking zzzAD{file_index}.TXT")
+            print("Taking datetime column on index 0...")
+            print(f"Taking `{top_sensor}`...")
+            df[['Time', top_sensor]].to_csv(output_file_1, index=False)
+            print(Fore.GREEN + "Done")
+
+            bottom_sensor = sensor_end_map[damage]
+            output_file_2 = os.path.join(output_base, f'DAMAGE_{damage}', f'D{damage}_TEST{i}_02.csv')
+            print(f"Creating {output_file_2} from taking zzzAD{file_index}.TXT")
+            print("Taking datetime column on index 0...")
+            print(f"Taking `{bottom_sensor}`...")
+            df[['Time', bottom_sensor]].to_csv(output_file_2, index=False)
+            print(Fore.GREEN + "Done")
+            print("---")
+
+def main():
+    if len(sys.argv) < 2:
+        print("Usage: python convert.py <path_to_csv_files>")
+        sys.exit(1)
+
+    base_path = sys.argv[1]
+    output_base = "output_data"  # Define output directory
+
+    # Create output folders if they don't exist
+    for i in range(1, 5):
+        os.makedirs(os.path.join(output_base, f'DAMAGE_{i}'), exist_ok=True)
+
+    create_damage_files(base_path, output_base)
+    print(Fore.YELLOW + Style.BRIGHT + "All files have been created successfully.")
+
+if __name__ == "__main__":
+    main()