diff --git a/scripts/data_to_csv.py b/scripts/data_to_csv.py
index 1c33e7b..b968cf0 100644
--- a/scripts/data_to_csv.py
+++ b/scripts/data_to_csv.py
@@ -1,28 +1,36 @@
 import pandas as pd
 import json
 import argparse
+import os
 
 
 def data_to_csv(data_path, output_path):
     header_written = False
 
     with open(data_path, 'r') as f:
+        step = 0
         for line in f:
             try:
                 clean_line = line.rstrip(",\n")
                 data = json.loads(clean_line)
                 normalized = pd.json_normalize(data)
+                normalized['step'] = step
                 normalized.to_csv(output_path, mode='a', header=not header_written, index=False)
                 
                 # Set the header_written flag to True after the first write
                 header_written = True
             except json.JSONDecodeError:
                 print(f"Failed to parse line: {line}")
+            step += 1
+
+def all_data_to_csv(all_data_path):
+    for filename in os.listdir(all_data_path):
+        config_name = os.path.splitext(filename)[0]
+        data_to_csv(f"{all_data_path}/{config_name}.json", f"{all_data_path}/{config_name}.csv")
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="Normalize JSON lines in a file to a Pandas DataFrame and append to CSV.")
     parser.add_argument("data_path", type=str, help="Path to the file containing JSON lines.")
-    parser.add_argument("output_path", type=str, help="Path to the output CSV file.")
     
     args = parser.parse_args()
-    data_to_csv(args.data_path, args.output_path)
+    all_data_to_csv(args.data_path)