diff --git a/examples/dataloader/Untitled.ipynb b/examples/dataloader/Untitled.ipynb
index fbb879c..36eef2b 100644
--- a/examples/dataloader/Untitled.ipynb
+++ b/examples/dataloader/Untitled.ipynb
@@ -283,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 52,
    "id": "89164adb",
    "metadata": {},
    "outputs": [],
@@ -291,32 +291,17 @@
     "number_of_samples = 1\n",
     "def iterate_dataset(loader: BaseLoader, number_of_samples):\n",
     "    for i, data in enumerate(loader): \n",
-    "        list(dict(data)[\"steps\"])\n",
     "        if i == number_of_samples:\n",
     "            break"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 54,
    "id": "f192e1d7",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "I 2024-06-22 20:30:54,640 dataset_info.py:617] Load dataset info from /home/kych/datasets/berkeley_autolab_ur5/0.1.0\n",
-      "I 2024-06-22 20:30:54,653 reader.py:261] Creating a tf.data.Dataset reading 1 files located in folders: /home/kych/datasets/berkeley_autolab_ur5/0.1.0.\n",
-      "I 2024-06-22 20:30:54,703 logging_logger.py:49] Constructing tf.data.Dataset berkeley_autolab_ur5 for split train[:1], from /home/kych/datasets/berkeley_autolab_ur5/0.1.0\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "\n",
-    "\n",
-    "rtx_loader = RTXLoader(os.path.expanduser(\"~/datasets/berkeley_autolab_ur5/0.1.0\"), split = f'train[:{number_of_samples}]')\n",
-    "\n",
     "import pandas as pd\n",
     "import pyarrow as pa\n",
     "import pyarrow.parquet as pq\n",
@@ -350,12 +335,13 @@
     "            table = pa.Table.from_pandas(combined_df)\n",
     "            pq.write_table(table, output_path)\n",
     "\n",
-    "ParquetExporter().export(rtx_loader, \"output.parquet\")\n"
+    "ParquetExporter().export(RTXLoader(os.path.expanduser(\"~/datasets/berkeley_autolab_ur5/0.1.0\"), split = f'train[:{number_of_samples}]')\n",
+    ", \"output.parquet\")\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 55,
    "id": "1d56f44d",
    "metadata": {},
    "outputs": [],
@@ -376,18 +362,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 56,
    "id": "80867561",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/home/kych/fog_x/examples/dataloader/mkv_output//output_0.mkv\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "exporter = MKVExporter()\n",
@@ -397,7 +375,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 57,
    "id": "fcfc1bdb",
    "metadata": {},
    "outputs": [
@@ -423,11 +401,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 58,
    "id": "0822a45a",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "iterate_dataset(rtx_loader, number_of_samples)"
+   ]
   },
   {
    "cell_type": "code",