small updates to text (#1583)

Co-authored-by: ovalle15 <aovalle@Andreas-MacBook-Pro-2.local>

Author: ovalle15

examples/basics/custom_embeddings_sdk.ipynb

@@ -145,7 +145,7 @@
     {
       "metadata": {},
       "source": [
-        "data_row_dict = [{\"data_row_id\": dr[\"data_row\"][\"id\"], \"row_data\": dr[\"data_row\"][\"row_data\"]} for dr in data_rows]\n",
+        "data_row_dict = [{\"data_row_id\": dr[\"data_row\"][\"id\"]} for dr in data_rows]\n",
         "data_row_dict = data_row_dict[:1000] # keep the first 1000 examples for the sake of this demo"
       ],
       "cell_type": "code",
@@ -221,8 +221,7 @@
     {
       "metadata": {},
       "source": [
-        "- The payload should encompass all the data you wish to retain, along with the new embeddings vector data.\n",
-        "- `row_data` and `key` is required when using `dataset.upsert_data_rows()` "
+        "The payload should encompass the `key` (data row id  or global key) and the new embedding vector data. Note that the `dataset.upsert_data_rows()` operation will only update the values you pass in the payload; all other existing row data will not be modified."
       ],
       "cell_type": "markdown"
     },
@@ -231,7 +230,7 @@
       "source": [
         "payload = []\n",
         "for data_row_dict, custom_embedding in zip(data_row_dict,custom_embeddings):\n",
-        "  payload.append({\"key\": lb.UniqueId(data_row_dict['data_row_id']), \"row_data\": data_row_dict['row_data'], \"embeddings\": [{\"embedding_id\": embedding.id, \"vector\": custom_embedding}]})\n",
+        "  payload.append({\"key\": lb.UniqueId(data_row_dict['data_row_id']), \"embeddings\": [{\"embedding_id\": embedding.id, \"vector\": custom_embedding}]})\n",
         "\n",
         "print('payload', len(payload),payload[:1])"
       ],