diff --git a/src/pipeline.ipynb b/src/pipeline.ipynb
index 4946ca4751182510a5d935dd65ad885119872f49..5050b045b58da1ced5b9a45918724ecbf8a20b82 100644
--- a/src/pipeline.ipynb
+++ b/src/pipeline.ipynb
@@ -105,11 +105,11 @@
     "\n",
     "participation = {}\n",
     "\n",
-    "participation_path = os.path.join(CONSTANTS.RAW_DATA_PATH, \"participation\")\n",
+    "participation_path = os.path.join(CONSTANTS.CLEAN_DATA_PATH, \"participation\")\n",
     "for file in os.listdir(participation_path):\n",
     "\tif not file.endswith(\".csv\") or file.startswith(\"example\"): continue\n",
     "\tsemester = file.replace(\".csv\", \"\")\n",
-    "\tparticipation[semester.replace(\"-\", \"/\")] = pandas.read_csv(os.path.join(participation_path, file), sep=\";\")"
+    "\tparticipation[semester.replace(\"-\", \"/\")] = pandas.read_csv(os.path.join(participation_path, file))"
    ]
   },
   {
@@ -143,15 +143,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "#print(result_frames)\n",
-    "def norm_name(name: str) -> str:\n",
-    "\tif ', ' not in name: return name\n",
-    "\tsplit = name.split(\", \")\n",
-    "\treturn split[1] + \" \" + split[0]\n",
     "for (institute_semester, df) in result_frames.items():\n",
     "\tcollection = []\n",
     "\tinstitute, semester = institute_semester.split(\"_\") \n",
@@ -163,8 +158,7 @@
     "\t\t# This may lead to data loss but is impossible to work around\n",
     "\t\tsemester_obj = participation[semester]\n",
     "\t\tsemester_obj.drop_duplicates(inplace=True)\n",
-    "\t\tnames = semester_obj[\"Person-Name\"]\n",
-    "\t\tsemester_obj[\"Person-Name\"] = names.map(norm_name)\n",
+    "\n",
     "\t\tdf = df.merge(semester_obj[['Veranstaltung-Nr.', 'Anzahl Teilnehmende', 'Person-Name', 'Veranstaltung-Name']], on=[\"Veranstaltung-Nr.\", \"Person-Name\", \"Veranstaltung-Name\"], how=\"left\")\n",
     "\n",
     "\tfor row in df.iterrows():\n",