diff --git a/dataset_creation/CPFC_both.py b/dataset_creation/CPFC_both.py
index 3b37b9d..06e5a6c 100644
--- a/dataset_creation/CPFC_both.py
+++ b/dataset_creation/CPFC_both.py
@@ -2,7 +2,7 @@ import os
 import pandas as pd
 from pathlib import Path
 
-data_dir = Path("/home/jovyan/Fahrsimulator_MSY2526_AI/EDA")
+data_dir = Path("/home/jovyan/data-paulusjafahrsimulator-gpu/raw_data")
 
 # Get all .h5 files and sort them
 matching_files = sorted(data_dir.glob("*.h5"))
@@ -56,16 +56,16 @@ for i, file_path in enumerate(matching_files):
             start=start_row,
             stop=stop_row
         )
-        
+        # print(f"[DEBUG] Vor Dropna: {df_chunk["EYE_LEFT_PUPIL_VALIDITY"].value_counts()}")
         # Add metadata columns
         df_chunk["subjectID"] = i
         df_chunk["rowID"] = range(start_row, stop_row)
         
         # Clean data
         df_chunk = df_chunk[df_chunk["LEVEL"] != 0]
-        df_chunk = df_chunk.dropna()
-        # problematisch, weil die eye tracking auflösung kaputt geht
-        
+        df_chunk = df_chunk.dropna(subset=face_au_cols)
+     
+        # print(f"[DEBUG] Nach Dropna: {df_chunk["EYE_LEFT_PUPIL_VALIDITY"].value_counts()}")
         # Only keep non-empty chunks
         if len(df_chunk) > 0:
             chunks_to_save.append(df_chunk)
diff --git a/dataset_creation/combined_feature_creation.py b/dataset_creation/combined_feature_creation.py
index ad8fec4..9b6097e 100644
--- a/dataset_creation/combined_feature_creation.py
+++ b/dataset_creation/combined_feature_creation.py
@@ -11,9 +11,9 @@ from pygazeanalyser.detectors import fixation_detection, saccade_detection
 # KONFIGURATION
 ##############################################################################
 INPUT_DIR = Path(r"/home/jovyan/data-paulusjafahrsimulator-gpu/both_mod_parquet_files")
-OUTPUT_FILE = Path(r"/home/jovyan/data-paulusjafahrsimulator-gpu/new_datasets/fix_blink_combined_dataset_25hz.parquet")
+OUTPUT_FILE = Path(r"/home/jovyan/data-paulusjafahrsimulator-gpu/new_datasets/blink_fix_dataset.parquet")
 
-WINDOW_SIZE_SAMPLES = 1250  # 50s bei 25Hz
+WINDOW_SIZE_SAMPLES = 25*50  # 50s bei 25Hz
 STEP_SIZE_SAMPLES = 125     # 5s bei 25Hz
 SAMPLING_RATE = 25          # Hz
 MIN_DUR_BLINKS = 2          # x * 40ms
@@ -368,9 +368,6 @@ def main():
         print(result.head())
         
         print("\nSpalten-Übersicht:")
-        print(result.columns.tolist())
-        
-        print("\nDatentypen:")
         print(result.dtypes)
         
         print("\nStatistik:")