csv with names based on statements

tools/normalization.py

@@ -0,0 +1,32 @@
+import csv
+
+file_path = "tools/statements.csv"
+output_file_path = "tools/filtered_results.csv"
+
+try:
+    # Open and read the input CSV file
+    with open(file_path, mode='r', newline='', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+
+        # Open the output CSV file for writing
+        with open(output_file_path, mode='w', newline='', encoding='utf-8') as output_file:
+            fieldnames = ['value','original_value' 'lang']  # Define the output CSV column headers
+            writer = csv.DictWriter(output_file, fieldnames=fieldnames)
+
+            # Write header to the output CSV file
+            writer.writeheader()
+
+            # Iterate over rows and filter for 'name' in the 'prop' column
+            for i, row in enumerate(reader):
+                if i >= 5000:  # Stop after processing x rows
+                    break
+                if row["prop"] == "name" and row["schema"] in ["Company", "Organization"]:
+                    # Write the filtered row to the output CSV file
+                    writer.writerow({'value': row['value'], 
+                                     'original_value': row['original_value'],
+                                        'lang': row['lang']})
+
+    print(f"Filtered results have been saved to {output_file_path}")
+
+except Exception as e:
+    print(f"An error occurred: {e}")