diff --git a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
index 2102eec0d..5de7f715e 100644
--- a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
+++ b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
@@ -963,16 +963,19 @@
         "\n",
         "client.benchmarks.register(\n",
         "    benchmark_id=\"meta-reference::mmmu\",\n",
+        "    # Note: we can use any value as `dataset_id` because we'll be using the `evaluate_rows` API which accepts the \n",
+        "    # `input_rows` argument and does not fetch data from the dataset.\n",
         "    dataset_id=f\"mmmu-{subset}-{split}\",\n",
-        "    scoring_functions=[\"basic::regex_parser_multiple_choice_answer\"],\n",
+        "    # Note: for the same reason as above, we can use any value as `scoring_functions`.\n",
+        "    scoring_functions=[],\n",
         ")\n",
         "\n",
-        "response = client.eval.evaluate_rows_alpha(\n",
+        "response = client.eval.evaluate_rows(\n",
         "    benchmark_id=\"meta-reference::mmmu\",\n",
         "    input_rows=eval_rows,\n",
+        "    # Note: Here we define the actual scoring functions.\n",
         "    scoring_functions=[\"basic::regex_parser_multiple_choice_answer\"],\n",
         "    benchmark_config={\n",
-        "        \"type\": \"benchmark\",\n",
         "        \"eval_candidate\": {\n",
         "            \"type\": \"model\",\n",
         "            \"model\": \"meta-llama/Llama-3.2-90B-Vision-Instruct\",\n",
@@ -1139,12 +1142,11 @@
         "    scoring_functions=[\"llm-as-judge::405b-simpleqa\"],\n",
         ")\n",
         "\n",
-        "response = client.eval.evaluate_rows_alpha(\n",
+        "response = client.eval.evaluate_rows(\n",
         "    benchmark_id=\"meta-reference::simpleqa\",\n",
         "    input_rows=eval_rows.data,\n",
         "    scoring_functions=[\"llm-as-judge::405b-simpleqa\"],\n",
         "    benchmark_config={\n",
-        "        \"type\": \"benchmark\",\n",
         "        \"eval_candidate\": {\n",
         "            \"type\": \"model\",\n",
         "            \"model\": \"meta-llama/Llama-3.2-90B-Vision-Instruct\",\n",
@@ -1288,12 +1290,11 @@
         "    \"enable_session_persistence\": False,\n",
         "}\n",
         "\n",
-        "response = client.eval.evaluate_rows_alpha(\n",
+        "response = client.eval.evaluate_rows(\n",
         "    benchmark_id=\"meta-reference::simpleqa\",\n",
         "    input_rows=eval_rows.data,\n",
         "    scoring_functions=[\"llm-as-judge::405b-simpleqa\"],\n",
         "    benchmark_config={\n",
-        "        \"type\": \"benchmark\",\n",
         "        \"eval_candidate\": {\n",
         "            \"type\": \"agent\",\n",
         "            \"config\": agent_config,\n",