Remove outputs

notebooks/en/rag_evaluation.ipynb

@@ -87,20 +87,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Token has not been saved to git credential helper. Pass `add_to_git_credential=True` if you want to set the git credential as well.\n",
-      "Token is valid (permission: read).\n",
-      "Your token has been saved to /Users/aymeric/.cache/huggingface/token\n",
-      "Login successful\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from huggingface_hub import notebook_login\n",
     "\n",
@@ -150,26 +139,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {
     "id": "3gTOlRKO9jVM"
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "84b857caf9314005be499369f99638ee",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/2647 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
     "from langchain.docstore.document import Document as LangchainDocument\n",
@@ -192,26 +166,6 @@
     "    docs_processed += text_splitter.split_documents([doc])"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2000"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "max([len(doc.page_content) for doc in docs_processed])"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -307,33 +261,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": null,
    "metadata": {
     "id": "8fteqDDD9jVN"
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Generating 10 QA couples...\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "84a6817f8a64408eb05f16fdca3fe9f9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/10 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import random\n",
     "\n",
@@ -527,33 +459,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": null,
    "metadata": {
     "id": "b9tbk7ME9jVO"
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Generating critique for each QA couple...\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "41d674592e6a4200824277b52900b0aa",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/8 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(\"Generating critique for each QA couple...\")\n",
     "for output in tqdm(outputs):\n",
@@ -1593,9 +1503,9 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "cookbook",
+   "display_name": "cookbook2",
    "language": "python",
-   "name": "cookbook"
+   "name": "cookbook2"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1607,7 +1517,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.12.0"
   }
  },
  "nbformat": 4,