diff --git a/advanced_training_notebook.ipynb b/advanced_training_notebook.ipynb
index fbf49c3..f598fda 100644
--- a/advanced_training_notebook.ipynb
+++ b/advanced_training_notebook.ipynb
@@ -202,31 +202,28 @@
     "print(f\"Number of FLAC files found: {len(audioset_files)}\")\n",
     "\n",
     "if audioset_files:\n",
-    "    audioset_dataset = Dataset.from_dict({\"audio\": [str(file) for file in audioset_files]})\n",
-    "    audioset_dataset = audioset_dataset.cast_column(\"audio\", Audio(sampling_rate=16000))\n",
-    "\n",
     "    corrupted_files = []\n",
     "\n",
     "    print(\"Converting Audioset files to 16kHz WAV...\")\n",
-    "    for row in tqdm(audioset_dataset, desc=\"Processing Audioset files\"):\n",
+    "    for file_path in tqdm(audioset_files, desc=\"Processing Audioset files\"):\n",
     "        try:\n",
-    "            # Define output file name and path\n",
-    "            name = Path(row[\"audio\"][\"path\"]).stem + \".wav\"\n",
-    "            output_path = Path(output_dir) / name\n",
-    "\n",
-    "            # Check if audio data is valid before writing\n",
-    "            if row[\"audio\"][\"array\"] is None or len(row[\"audio\"][\"array\"]) == 0:\n",
-    "                raise ValueError(f\"Empty or invalid audio data in file: {row['audio']['path']}\")\n",
+    "            # Attempt to load the file and handle any errors\n",
+    "            audio, sampling_rate = sf.read(file_path)\n",
+    "            \n",
+    "            if audio is None or len(audio) == 0:\n",
+    "                raise ValueError(f\"Empty or invalid audio data in file: {file_path}\")\n",
     "\n",
+    "            # Resample audio to 16kHz\n",
+    "            output_path = Path(output_dir) / (file_path.stem + \".wav\")\n",
     "            scipy.io.wavfile.write(\n",
     "                output_path,\n",
     "                16000,\n",
-    "                (row[\"audio\"][\"array\"] * 32767).astype(np.int16),\n",
+    "                (audio * 32767).astype(np.int16),\n",
     "            )\n",
     "        except (sf.LibsndfileError, ValueError, Exception) as e:\n",
     "            # Log the error and skip the file\n",
-    "            print(f\"Error converting {row['audio']['path']}: {e}\")\n",
-    "            corrupted_files.append(row[\"audio\"][\"path\"])\n",
+    "            print(f\"Error converting {file_path}: {e}\")\n",
+    "            corrupted_files.append(str(file_path))\n",
     "\n",
     "    # Log corrupted files\n",
     "    if corrupted_files:\n",