diff --git a/argilla/src/argilla/datasets/_resource.py b/argilla/src/argilla/datasets/_resource.py
index f631d32653..7637d90da0 100644
--- a/argilla/src/argilla/datasets/_resource.py
+++ b/argilla/src/argilla/datasets/_resource.py
@@ -238,7 +238,7 @@ def api_model(self) -> DatasetModel:
 
     def _publish(self) -> "Dataset":
         self._settings.create()
-        self._api.publish(dataset_id=self._model.id)
+        # self._api.publish(dataset_id=self._model.id)
 
         return self.get()
 
diff --git a/examples/add-records-to-draft-dataset.ipynb b/examples/add-records-to-draft-dataset.ipynb
new file mode 100644
index 0000000000..9ac6898902
--- /dev/null
+++ b/examples/add-records-to-draft-dataset.ipynb
@@ -0,0 +1,178 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/ben/code/argilla/.venv/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    }
+   ],
+   "source": [
+    "from uuid import uuid4\n",
+    "import argilla as rg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/ben/code/argilla/argilla/src/argilla/datasets/_resource.py:250: UserWarning: Workspace not provided. Using default workspace: argilla id: 735cae0d-eb08-45c3-ad79-0a11ad4dd2c2\n",
+      "  warnings.warn(f\"Workspace not provided. Using default workspace: {workspace.name} id: {workspace.id}\")\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Dataset(id=UUID('bb50f766-f6f8-4526-a470-75757ae21fb3') inserted_at=datetime.datetime(2024, 10, 1, 9, 41, 14, 633100) updated_at=datetime.datetime(2024, 10, 1, 9, 41, 14, 644515) name='trtrt' status='draft' guidelines=None allow_extra_metadata=False distribution=OverlapTaskDistributionModel(strategy='overlap', min_submitted=1) workspace_id=UUID('735cae0d-eb08-45c3-ad79-0a11ad4dd2c2') last_activity_at=datetime.datetime(2024, 10, 1, 9, 41, 14, 644515))"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "client = rg.Argilla()\n",
+    "\n",
+    "dataset_name = \"trtrt\"\n",
+    "\n",
+    "dataset = rg.Dataset(\n",
+    "    name=dataset_name,\n",
+    "    settings=rg.Settings(\n",
+    "        fields=[\n",
+    "            rg.TextField(name=\"test_field\"),\n",
+    "        ],\n",
+    "        questions=[rg.RatingQuestion(name=\"test_question\", values=[1, 2, 3, 4, 5])],\n",
+    "    ),\n",
+    ")\n",
+    "dataset.create()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">DatasetRecords: The provided batch size <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">256</span> was normalized. Using value <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>.\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "DatasetRecords: The provided batch size \u001b[1;36m256\u001b[0m was normalized. Using value \u001b[1;36m1\u001b[0m.\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sending records...:   0%|          | 0/1 [00:00<?, ?batch/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sending records...: 100%|██████████| 1/1 [00:00<00:00,  6.08batch/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "DatasetRecords(Dataset(id=UUID('bb50f766-f6f8-4526-a470-75757ae21fb3') inserted_at=datetime.datetime(2024, 10, 1, 9, 41, 14, 633100) updated_at=datetime.datetime(2024, 10, 1, 9, 41, 14, 644515) name='trtrt' status='draft' guidelines=None allow_extra_metadata=False distribution=OverlapTaskDistributionModel(strategy='overlap', min_submitted=1) workspace_id=UUID('735cae0d-eb08-45c3-ad79-0a11ad4dd2c2') last_activity_at=datetime.datetime(2024, 10, 1, 9, 41, 14, 644515)))"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset.records.log(\n",
+    "    [\n",
+    "        {\n",
+    "            \"test_field\": \"test\",\n",
+    "        }\n",
+    "    ]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "TextQuestion(name=feedback, title=feedback, description=None, type=text, required=True) "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset.settings.questions.add(rg.TextQuestion(\"feedback\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset(id=UUID('bb50f766-f6f8-4526-a470-75757ae21fb3') inserted_at=datetime.datetime(2024, 10, 1, 9, 41, 14, 633100) updated_at=datetime.datetime(2024, 10, 1, 9, 41, 14, 644515) name='trtrt' status='draft' guidelines=None allow_extra_metadata=False distribution=OverlapTaskDistributionModel(strategy='overlap', min_submitted=1) workspace_id=UUID('735cae0d-eb08-45c3-ad79-0a11ad4dd2c2') last_activity_at=datetime.datetime(2024, 10, 1, 9, 41, 14, 644515))"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset.update()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}