diff --git a/notebooks/codeio.ipynb b/notebooks/codeio.ipynb
index 4d24110e..0b9f9c99 100644
--- a/notebooks/codeio.ipynb
+++ b/notebooks/codeio.ipynb
@@ -552,9 +552,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "371d38e1fe9e41d587b2cfa64ca9ef91",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/7053 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Response 404\n",
+      "Response 404\n",
+      "Response 404\n",
+      "Response 404\n",
+      "Response 404\n",
+      "Response 404\n",
+      "Response 404\n",
+      "Response 404\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "full_sampling_fails: 913\n",
+      "warmup_fails: 528\n",
+      "missing_input_generator: 36\n",
+      "cannot_initialize_code: 98\n",
+      "Total errors: 1575\n"
+     ]
+    }
+   ],
    "source": [
     "CODE_TEMPLATE = \"\"\"from random import Random\n",
     "{code_sample}\n",
@@ -584,7 +624,7 @@
     "    iterator = tqdm(enumerate(f_in), total=total_entries)\n",
     "\n",
     "    for i, line in iterator:\n",
-    "        iterator.set_description(f\"Failures:\" + \" | \".join(f\"{k}: {v}\" for k, v in errors.items()) + f\" | total: {sum(errors.values())}\")\n",
+    "        iterator.set_description(f\"Failures: \" + \" | \".join(f\"{k}: {v}\" for k, v in errors.items()) + f\" | total: {sum(errors.values())}\")\n",
     "        entry = json.loads(line)\n",
     "\n",
     "        if not \"input_generator\" in entry:\n",
@@ -652,72 +692,6 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "errors = defaultdict(int)\n",
-    "total_entries = sum(1 for _ in open(\"data/codeio-pyedu-with-input-generator.jsonl\", \"r\"))\n",
-    "\n",
-    "# with open(\"data/codeio-pyedu-with-input-generator.jsonl\", \"r\") as f_in, \\\n",
-    "#     open(\"data/codeio-pyedu-with-input-generator-filtered.jsonl\", \"w+\") as f_out:\n",
-    "\n",
-    "#     iterator = tqdm(enumerate(f_in), total=total_entries)\n",
-    "\n",
-    "#     for i, line in iterator:\n",
-    "#         iterator.set_description(f\"Processing {i}/{total_entries} | \" + \" | \".join(f\"{k}: {v}\" for k, v in errors.items()) + f\" | total: {sum(errors.values())}\")\n",
-    "#         entry = json.loads(line)\n",
-    "#         # Check if input generator is present\n",
-    "#         if not \"input_generator\" in entry:\n",
-    "#             errors[\"missing_input_generator\"] += 1\n",
-    "#             continue\n",
-    "        \n",
-    "#         # Check if input generator is valid function\n",
-    "#         try:\n",
-    "#             input_generator_func = get_input_generator_func(entry['code_sample'], entry['input_generator'])\n",
-    "#         except Exception as e:\n",
-    "#             errors[\"cannot_instantiate_input_generator\"] += 1\n",
-    "#             continue\n",
-    "\n",
-    "#         skip = False\n",
-    "#         seen_inputs, seen_outputs = set(), set()\n",
-    "\n",
-    "#         for _ in range(NUM_INPUT_GENERATE):\n",
-    "#             try:\n",
-    "#                 # Check if you can generate input\n",
-    "#                 signal.alarm(ALARM_TOLERANCE)\n",
-    "#                 random_input = input_generator_func(rng)\n",
-    "#                 signal.alarm(0)\n",
-    "#                 seen_inputs.add(hash(json.dumps(random_input)))\n",
-    "\n",
-    "#                 # Check if code snippet can execute with generated input\n",
-    "#                 signal.alarm(ALARM_TOLERANCE)\n",
-    "#                 random_output = execute_code_sample(entry[\"code_sample\"], random_input)\n",
-    "#                 signal.alarm(0)\n",
-    "#                 seen_outputs.add(hash(json.dumps(random_output)))\n",
-    "#             except Exception as e:\n",
-    "#                 signal.alarm(0)\n",
-    "#                 errors[\"unreliable_input_generator\"] += 1\n",
-    "#                 skip = True\n",
-    "#                 break\n",
-    "#         if skip: \n",
-    "#             continue\n",
-    "            \n",
-    "#         if len(seen_inputs) / NUM_INPUT_GENERATE < PERCENT_UNIQUE_INPUTS:\n",
-    "#             errors[\"insufficient_unique_inputs\"] += 1\n",
-    "#             continue\n",
-    "            \n",
-    "#         if len(seen_outputs) / NUM_INPUT_GENERATE < PERCENT_UNIQUE_OUTPUTS:\n",
-    "#             errors[\"insufficient_unique_outputs\"] += 1\n",
-    "#             continue\n",
-    "\n",
-    "#         f_out.write(json.dumps(entry))\n",
-    "#         f_out.write(\"\\n\")\n",
-    "\n",
-    "# for k, v in errors.items():\n",
-    "#     print(f\"{k}: {v}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
    "source": []
   }
  ],