llm on segmentsgst

1 files changed, 277 insertions, 326 deletions

diff --git a/notebooks/cc/llm_annotation.ipynb b/notebooks/cc/llm_annotation.ipynb
index 3ff93971..9aedc0e5 100644
--- a/notebooks/cc/llm_annotation.ipynb
+++ b/notebooks/cc/llm_annotation.ipynb
@@ -32,13 +32,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Method auxiliary_datasets_dir can only be called on backed dataset.\n",
+      "Method auxiliary_datasets_dir can only be called on backed dataset.\n",
+      "Method auxiliary_datasets_dir can only be called on backed dataset.\n",
+      "Method auxiliary_datasets_dir can only be called on backed dataset.\n",
+      "Method auxiliary_datasets_dir can only be called on backed dataset.\n",
+      "Method auxiliary_datasets_dir can only be called on backed dataset.\n"
+     ]
+    }
+   ],
    "source": [
     "if \"dgst_map.csv\" not in os.listdir():\n",
     "    # get dgst mappings\n",
-    "    dset = CCDataset.from_web()\n",
+    "    if os.path.exists(\"../../cc_data/dataset.json\"):\n",
+    "        dset = CCDataset.from_json(\"../../cc_data/dataset.json\")\n",
+    "    else:\n",
+    "        dset = CCDataset.from_web()\n",
     "    data = [(row.name, row.heuristics.cert_id, row.dgst, row.old_dgst) for row in dset]\n",
     "    with open('dgst_map.csv', 'w', newline='') as file:\n",
     "        writer = csv.writer(file)\n",
@@ -49,7 +65,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not 'dset' in vars() and not 'dset' in globals():\n",
+    "    dset = CCDataset.from_json(\"../../cc_data/dataset.json\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sec_certs.model.references_nlp.segment_extractor import ReferenceSegmentExtractor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,167 +110,27 @@
     "    .rename(columns={\"dgst\": \"old_dgst\", \"canonical_reference_keyword\": \"target_cert_id\"}) \\\n",
     "    .merge(dgst_map_df, on=\"old_dgst\") \\\n",
     "    .merge(dgst_map_df[[\"name\", \"cert_id\"]].rename(columns={\"name\": \"target_name\", \"cert_id\": \"target_cert_id\"}), on=\"target_cert_id\")\n",
+    "\n",
+    "## get fulltext\n",
     "df_annotations[\"text_content\"] = df_annotations[\"dgst\"] \\\n",
-    "    .apply(add_text_content)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>old_dgst</th>\n",
-       "      <th>target_cert_id</th>\n",
-       "      <th>label</th>\n",
-       "      <th>comment</th>\n",
-       "      <th>name</th>\n",
-       "      <th>cert_id</th>\n",
-       "      <th>dgst</th>\n",
-       "      <th>older_dgst</th>\n",
-       "      <th>target_name</th>\n",
-       "      <th>text_content</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>00efeb17bcaafce6</td>\n",
-       "      <td>ANSSI-CC-2009/34</td>\n",
-       "      <td>component_used</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Trusted Logic. Carte à puce JCLXxxjTOPyyIDv2 :...</td>\n",
-       "      <td>ANSSI-CC-2009/35</td>\n",
-       "      <td>4e9ff22a844c6003</td>\n",
-       "      <td>6f55526f9162a4bb</td>\n",
-       "      <td>JCLX80jTOP20ID : Java Trusted Open Platform IF...</td>\n",
-       "      <td>PREMIER MINISTRE\\nSecrétariat général de la dé...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>01e8805514b4ef67</td>\n",
-       "      <td>BSI-DSZ-CC-0891-V3-2018</td>\n",
-       "      <td>component_used</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>ID&amp;Trust IDentity-J with SAC (BAC+PACE) and AA...</td>\n",
-       "      <td>JISEC-CC-CRP-C0649-01-2019</td>\n",
-       "      <td>abb304884762a560</td>\n",
-       "      <td>42586e3d73fb8bd4</td>\n",
-       "      <td>Infineon Security Controller M7892 Design Step...</td>\n",
-       "      <td>JISEC-CC-CRP-C0649-01-2019\\nCertification Repo...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>037577fc2019fcfa</td>\n",
-       "      <td>ANSSI-CC-2021/49</td>\n",
-       "      <td>previous_version</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NPCT7xx TPM2.0 rev 1.59 (configuration version...</td>\n",
-       "      <td>ANSSI-CC-2022/28</td>\n",
-       "      <td>88b3519651a7b7c0</td>\n",
-       "      <td>cca6ba2fdb06af5a</td>\n",
-       "      <td>NPCT7xx TPM2.0 rev 1.59 (configuration version...</td>\n",
-       "      <td>Secrétariat général de la défense\\net de la sé...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>055985699aee1e09</td>\n",
-       "      <td>ANSSI-CC-2010/02</td>\n",
-       "      <td>component_used</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Carte CC IDeal Citiz (sur composants SB23YR80B...</td>\n",
-       "      <td>ANSSI-CC-2011/62</td>\n",
-       "      <td>338e26cd240f6572</td>\n",
-       "      <td>700f9a9a01a58722</td>\n",
-       "      <td>STMicroelectronics SA23YR48/80B and SB23YR48/8...</td>\n",
-       "      <td>PREMIER MINISTRE\\nSecrétariat général de la dé...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>05726637bd47a762</td>\n",
-       "      <td>BSI-DSZ-CC-0891-V3-2018</td>\n",
-       "      <td>component_used</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Java Card Platform Implementation for Infineon...</td>\n",
-       "      <td>BSI-DSZ-CC-0869-V2-2019</td>\n",
-       "      <td>179ef93627203d9f</td>\n",
-       "      <td>377db3692d1a6bf6</td>\n",
-       "      <td>Infineon Security Controller M7892 Design Step...</td>\n",
-       "      <td>BSI-DSZ-CC-0869-V2-2019\\nfor\\nJava Card Platfo...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           old_dgst           target_cert_id             label comment  \\\n",
-       "0  00efeb17bcaafce6         ANSSI-CC-2009/34    component_used     NaN   \n",
-       "1  01e8805514b4ef67  BSI-DSZ-CC-0891-V3-2018    component_used     NaN   \n",
-       "2  037577fc2019fcfa         ANSSI-CC-2021/49  previous_version     NaN   \n",
-       "3  055985699aee1e09         ANSSI-CC-2010/02    component_used     NaN   \n",
-       "4  05726637bd47a762  BSI-DSZ-CC-0891-V3-2018    component_used     NaN   \n",
-       "\n",
-       "                                                name  \\\n",
-       "0  Trusted Logic. Carte à puce JCLXxxjTOPyyIDv2 :...   \n",
-       "1  ID&Trust IDentity-J with SAC (BAC+PACE) and AA...   \n",
-       "2  NPCT7xx TPM2.0 rev 1.59 (configuration version...   \n",
-       "3  Carte CC IDeal Citiz (sur composants SB23YR80B...   \n",
-       "4  Java Card Platform Implementation for Infineon...   \n",
-       "\n",
-       "                      cert_id              dgst        older_dgst  \\\n",
-       "0            ANSSI-CC-2009/35  4e9ff22a844c6003  6f55526f9162a4bb   \n",
-       "1  JISEC-CC-CRP-C0649-01-2019  abb304884762a560  42586e3d73fb8bd4   \n",
-       "2            ANSSI-CC-2022/28  88b3519651a7b7c0  cca6ba2fdb06af5a   \n",
-       "3            ANSSI-CC-2011/62  338e26cd240f6572  700f9a9a01a58722   \n",
-       "4     BSI-DSZ-CC-0869-V2-2019  179ef93627203d9f  377db3692d1a6bf6   \n",
-       "\n",
-       "                                         target_name  \\\n",
-       "0  JCLX80jTOP20ID : Java Trusted Open Platform IF...   \n",
-       "1  Infineon Security Controller M7892 Design Step...   \n",
-       "2  NPCT7xx TPM2.0 rev 1.59 (configuration version...   \n",
-       "3  STMicroelectronics SA23YR48/80B and SB23YR48/8...   \n",
-       "4  Infineon Security Controller M7892 Design Step...   \n",
-       "\n",
-       "                                        text_content  \n",
-       "0  PREMIER MINISTRE\\nSecrétariat général de la dé...  \n",
-       "1  JISEC-CC-CRP-C0649-01-2019\\nCertification Repo...  \n",
-       "2  Secrétariat général de la défense\\net de la sé...  \n",
-       "3  PREMIER MINISTRE\\nSecrétariat général de la dé...  \n",
-       "4  BSI-DSZ-CC-0869-V2-2019\\nfor\\nJava Card Platfo...  "
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_annotations.head()"
+    "    .apply(add_text_content)\n",
+    "\n",
+    "## get segments\n",
+    "if \"ref_segments.parquet\" not in os.listdir():\n",
+    "    used_certs = []\n",
+    "    for cert in dset:\n",
+    "        if cert.dgst in df_annotations[\"dgst\"].values:\n",
+    "            used_certs.append(cert)\n",
+    "    extracted_refs = ReferenceSegmentExtractor()(used_certs)\n",
+    "    extracted_refs.to_parquet(\"ref_segments.parquet\")\n",
+    "ref_segments = pd.read_parquet(\"ref_segments.parquet\")\n",
+    "\n",
+    "df_annotations = ref_segments.rename(columns={\"canonical_reference_keyword\": \"target_cert_id\"})[[\"dgst\", \"target_cert_id\", \"segments\", \"actual_reference_keywords\"]].merge(df_annotations, on=[\"dgst\", \"target_cert_id\"])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -283,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
@@ -299,7 +194,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -310,7 +205,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
     {
@@ -323,7 +218,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -334,7 +229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
@@ -362,10 +257,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [],
    "source": [
+    "from tqdm.asyncio import tqdm\n",
+    "import nest_asyncio # otherwise async tasks can't be called from a running event loop (jupyter)\n",
+    "nest_asyncio.apply()\n",
+    "import asyncio\n",
+    "\n",
     "system_message = {\n",
     "    \"role\": \"system\",\n",
     "    \"content\": open(\"llm_annotation_prompt.txt\").read()\n",
@@ -379,7 +279,7 @@
     "        Target: {target_cert_id} ({target_name})\n",
     "        Reviewed: {cert_id} ({name})\n",
     "\n",
-    "        Text from reviewed certificate {cert_id}:\n",
+    "        Text from the examined certificate {cert_id}:\n",
     "        '{text_content}'\n",
     "        \"\"\"}\n",
     "    ]\n",
@@ -395,28 +295,13 @@
     "            wait_time = 60\n",
     "            if verbose:\n",
     "                print(f\"Error: {e}, retrying in {wait_time}s..\")\n",
-    "            await asyncio.sleep(wait_time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from tqdm.asyncio import tqdm"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "            await asyncio.sleep(wait_time)\n",
+    "\n",
     "async def process_row_async(text_content: str, name: str, target_name: str, cert_id: str, target_cert_id: str):\n",
     "    result = await get_ai_label(text_content, name, target_name, cert_id, target_cert_id)\n",
     "    return result.label.value, result.explanation\n",
-    "async def process_dataframe_async(df):\n",
+    "\n",
+    "async def process_dataframe_async_fulltext(df):\n",
     "    tasks = [process_row_async(\n",
     "        row[\"text_content\"], \n",
     "        row[\"name\"], \n",
@@ -427,24 +312,90 @@
     "    for coro in tqdm(asyncio.as_completed(tasks), total=len(tasks)):  # tracks actual completion\n",
     "        results.append(await coro)\n",
     "    return results\n",
-    "import nest_asyncio # otherwise async tasks can't be called from a running event loop (jupyter)\n",
-    "nest_asyncio.apply()"
+    "\n",
+    "async def process_dataframe_async_segments(df):\n",
+    "    all_tasks = []\n",
+    "    row_indices = []\n",
+    "    \n",
+    "    # flatten for async\n",
+    "    for idx, row in df.iterrows():\n",
+    "        segments = row[\"segments\"]\n",
+    "        for segment in segments:\n",
+    "            all_tasks.append(process_row_async(\n",
+    "                segment,\n",
+    "                row[\"name\"], \n",
+    "                row[\"target_name\"],\n",
+    "                row[\"cert_id\"],\n",
+    "                row[\"target_cert_id\"]\n",
+    "            ))\n",
+    "            row_indices.append(idx)\n",
+    "    \n",
+    "    # async\n",
+    "    results = []\n",
+    "    for coro in tqdm(asyncio.as_completed(all_tasks), total=len(all_tasks)):\n",
+    "        results.append(await coro)\n",
+    "    \n",
+    "    # reorganize and group\n",
+    "    row_results = {}\n",
+    "    for i, (label, explanation) in enumerate(results):\n",
+    "        row_idx = row_indices[i]\n",
+    "        if row_idx not in row_results:\n",
+    "            row_results[row_idx] = {\"labels\": [], \"explanations\": []}\n",
+    "        row_results[row_idx][\"labels\"].append(label)\n",
+    "        row_results[row_idx][\"explanations\"].append(explanation)\n",
+    "    \n",
+    "    # vote on labels\n",
+    "    final_results = []\n",
+    "    for idx in sorted(row_results.keys()):\n",
+    "        labels = row_results[idx][\"labels\"]\n",
+    "        explanations = row_results[idx][\"explanations\"]\n",
+    "        \n",
+    "        if labels:\n",
+    "            from collections import Counter\n",
+    "            vote_results = Counter(labels)\n",
+    "            final_label = vote_results.most_common(1)[0][0]\n",
+    "            \n",
+    "            # get explanation for the winning label\n",
+    "            for i, label in enumerate(labels):\n",
+    "                if label == final_label:\n",
+    "                    explanation = explanations[i]\n",
+    "                    break\n",
+    "        else:\n",
+    "            final_label = LabelType.NONE.value\n",
+    "            explanation = \"No segments available for analysis\"\n",
+    "        \n",
+    "        final_results.append((final_label, explanation))\n",
+    "    \n",
+    "    return final_results"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 99/99 [06:56<00:00,  4.21s/it]\n"
+      "100%|██████████| 406/406 [10:06<00:00,  1.49s/it] \n"
      ]
     }
    ],
    "source": [
+    "if \"llm_annotation_results_segments.parquet\" not in os.listdir():\n",
+    "    results = asyncio.run(process_dataframe_async_segments(df_annotations))\n",
+    "    df_annotations[\"gpt4omini_label\"], df_annotations[\"gpt4omini_reason\"] = zip(*results)\n",
+    "    df_annotations.to_parquet(\"llm_annotation_results_segments.parquet\")\n",
+    "df_results = pd.read_parquet(\"llm_annotation_results_segments.parquet\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# running this cell costs about 0.15EUR with gpt4o-mini\n",
     "if \"llm_annotation_results.parquet\" not in os.listdir(): # delete the file if you want to re-run things\n",
     "    results = asyncio.run(process_dataframe_async(df_annotations))\n",
@@ -455,7 +406,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
@@ -492,58 +443,58 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>ANSSI-CC-2009/34</td>\n",
-       "      <td>ANSSI-CC-2009/35</td>\n",
-       "      <td>Trusted Logic. Carte à puce JCLXxxjTOPyyIDv2 :...</td>\n",
-       "      <td>JCLX80jTOP20ID : Java Trusted Open Platform IF...</td>\n",
+       "      <td>BSI-DSZ-CC-1040-2019</td>\n",
+       "      <td>NSCIB-CC-0229284-CR</td>\n",
+       "      <td>NXP eDoc Suite v3.5 on JCOP4 P71 - cryptovisio...</td>\n",
+       "      <td>NXP Secure Smart Card Controller N7121 with IC...</td>\n",
        "      <td>component_used</td>\n",
        "      <td>None</td>\n",
-       "      <td>previous_version</td>\n",
-       "      <td>The ANSSI-CC-2016/69 certificate is a newer ve...</td>\n",
+       "      <td>re-evaluation</td>\n",
+       "      <td>The text indicates that BSI-DSZ-CC-0961-2017 i...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>BSI-DSZ-CC-0891-V3-2018</td>\n",
-       "      <td>JISEC-CC-CRP-C0649-01-2019</td>\n",
-       "      <td>ID&amp;Trust IDentity-J with SAC (BAC+PACE) and AA...</td>\n",
-       "      <td>Infineon Security Controller M7892 Design Step...</td>\n",
-       "      <td>component_used</td>\n",
-       "      <td>None</td>\n",
+       "      <td>BSI-DSZ-CC-0827-V8-2020</td>\n",
+       "      <td>BSI-DSZ-CC-1158-2020</td>\n",
+       "      <td>Digital Tachograph DTCO 1381, Release 4.0e</td>\n",
+       "      <td>Infineon Technologies Smart Card IC (Security ...</td>\n",
+       "      <td>irrelevant</td>\n",
+       "      <td>unclear</td>\n",
        "      <td>component_used</td>\n",
-       "      <td>The examined certificate NSCIB-CC-146301-CR2 r...</td>\n",
+       "      <td>The relationship between ANSSI-CC-2018/18 and ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>ANSSI-CC-2021/49</td>\n",
-       "      <td>ANSSI-CC-2022/28</td>\n",
-       "      <td>NPCT7xx TPM2.0 rev 1.59 (configuration version...</td>\n",
-       "      <td>NPCT7xx TPM2.0 rev 1.59 (configuration version...</td>\n",
-       "      <td>previous_version</td>\n",
+       "      <td>BSI-DSZ-CC-0782-2012</td>\n",
+       "      <td>BSI-DSZ-CC-0879-2014</td>\n",
+       "      <td>Infineon Security Controller M7893 B11 with op...</td>\n",
+       "      <td>Infineon Security Controller M7892 B11 with op...</td>\n",
+       "      <td>re-evaluation</td>\n",
        "      <td>None</td>\n",
        "      <td>component_used</td>\n",
-       "      <td>The ANSSI-CC-2018/44-S01 certificate explicitl...</td>\n",
+       "      <td>The referenced certificate BSI-DSZ-CC-0891-V3-...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>ANSSI-CC-2010/02</td>\n",
-       "      <td>ANSSI-CC-2011/62</td>\n",
-       "      <td>Carte CC IDeal Citiz (sur composants SB23YR80B...</td>\n",
-       "      <td>STMicroelectronics SA23YR48/80B and SB23YR48/8...</td>\n",
-       "      <td>component_used</td>\n",
-       "      <td>None</td>\n",
+       "      <td>BSI-DSZ-CC-0957-V2-2016</td>\n",
+       "      <td>BSI-DSZ-CC-1035-2017</td>\n",
+       "      <td>TCOS Secure Crypto Module Version 1.0 Release ...</td>\n",
+       "      <td>TCOS Smart Meter Security Module Version 1.0 R...</td>\n",
        "      <td>evaluation_reused</td>\n",
-       "      <td>The certificate ANSSI-CC-2022/28 explicitly st...</td>\n",
+       "      <td>unclear, mentions that this is a “re-evaluatio...</td>\n",
+       "      <td>component_used</td>\n",
+       "      <td>The certificate BSI-DSZ-CC-1040-2019 is refere...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>BSI-DSZ-CC-0891-V3-2018</td>\n",
-       "      <td>BSI-DSZ-CC-0869-V2-2019</td>\n",
-       "      <td>Java Card Platform Implementation for Infineon...</td>\n",
-       "      <td>Infineon Security Controller M7892 Design Step...</td>\n",
+       "      <td>ANSSI-CC-2012/68</td>\n",
+       "      <td>ANSSI-CC-2014/25</td>\n",
+       "      <td>SOMA801STM - application BAC, version 1.0</td>\n",
+       "      <td>Microcontrôleurs sécurisés SA23YR80/48 et SB23...</td>\n",
        "      <td>component_used</td>\n",
        "      <td>None</td>\n",
-       "      <td>evaluation_reused</td>\n",
-       "      <td>The evaluated certificate ANSSI-CC-2022/29 sta...</td>\n",
+       "      <td>re-evaluation</td>\n",
+       "      <td>The text indicates that BSI-DSZ-CC-0680-2010 i...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -558,58 +509,58 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>94</th>\n",
-       "      <td>ANSSI-CC-2012/68</td>\n",
-       "      <td>ANSSI-CC-2014/25</td>\n",
-       "      <td>SOMA801STM - application BAC, version 1.0</td>\n",
-       "      <td>Microcontrôleurs sécurisés SA23YR80/48 et SB23...</td>\n",
-       "      <td>component_used</td>\n",
+       "      <td>ANSSI-CC-2018/40</td>\n",
+       "      <td>ANSSI-CC-2020/71</td>\n",
+       "      <td>S3FV9RR/S3FV9RQ/S3FV9RP/S3FV9RK 32-bit RISC Mi...</td>\n",
+       "      <td>S3FV9RR/S3FV9RQ/S3FV9RP/S3FV9RK 32-bit RISC Mi...</td>\n",
+       "      <td>previous_version</td>\n",
        "      <td>None</td>\n",
-       "      <td>re-evaluation</td>\n",
-       "      <td>The text from the reviewed certificate BSI-DSZ...</td>\n",
+       "      <td>component_used</td>\n",
+       "      <td>The examined certificate ANSSI-CC-2020/43 incl...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>95</th>\n",
-       "      <td>ANSSI-CC-2017/47</td>\n",
-       "      <td>ANSSI-CC-2017/72</td>\n",
-       "      <td>Taiwan eID Applet PACE with CAM, CA and AA on ...</td>\n",
-       "      <td>Plateforme ID-One Cosmo v8.1-N-Standard LDS ma...</td>\n",
-       "      <td>component_used</td>\n",
-       "      <td>None</td>\n",
-       "      <td>evaluation_reused</td>\n",
-       "      <td>The referenced certificate BSI-DSZ-CC-0957-V2-...</td>\n",
+       "      <td>BSI-DSZ-CC-0835-V2-2017</td>\n",
+       "      <td>BSI-DSZ-CC-0836-V2-2017</td>\n",
+       "      <td>TCOS Residence Permit Card Version 1.1 Release...</td>\n",
+       "      <td>TCOS Residence Permit Card Version 1.1 Release...</td>\n",
+       "      <td>component_shared</td>\n",
+       "      <td>BAC, EAC thingy</td>\n",
+       "      <td>re-evaluation</td>\n",
+       "      <td>The evaluated certificate CSEC2014007 referenc...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>96</th>\n",
-       "      <td>BSI-DSZ-CC-0945-V2-2018</td>\n",
-       "      <td>NSCIB-CC-200689-CR</td>\n",
-       "      <td>Idemia CombICAO Applet in EAC configuration on...</td>\n",
-       "      <td>Infineon smart card IC (Security Controller) I...</td>\n",
-       "      <td>irrelevant</td>\n",
+       "      <td>ANSSI-CC-2013/55</td>\n",
+       "      <td>ANSSI-CC-2013/64</td>\n",
+       "      <td>Carte à puce SLJ 52 Gxx yyy AL : application p...</td>\n",
+       "      <td>Plateforme jTOP INFv#46 masquée sur composants...</td>\n",
+       "      <td>component_used</td>\n",
        "      <td>None</td>\n",
-       "      <td>re-evaluation</td>\n",
-       "      <td>The reviewed certificate BSI-DSZ-CC-0976-V2-20...</td>\n",
+       "      <td>none</td>\n",
+       "      <td>The text from the examined certificate BSI-DSZ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>97</th>\n",
-       "      <td>BSI-DSZ-CC-0950-V2-2018</td>\n",
-       "      <td>BSI-DSZ-CC-0596-V2-2018</td>\n",
-       "      <td>ORGA 930 M online and Cherry ST-1530</td>\n",
-       "      <td>KoCoBox MED+ Netzkonnektor, 1.3.4</td>\n",
+       "      <td>ANSSI-CC-2018/52</td>\n",
+       "      <td>ANSSI-CC-2018/55</td>\n",
+       "      <td>P73N2M0B0.2C2</td>\n",
+       "      <td>P73N2M0B0.202</td>\n",
+       "      <td>component_used</td>\n",
        "      <td>None</td>\n",
-       "      <td>unclear, mentions just ToE delivery</td>\n",
-       "      <td>previous_version</td>\n",
-       "      <td>BSI-DSZ-CC-0911-2014 provides Basic Access Con...</td>\n",
+       "      <td>component_used</td>\n",
+       "      <td>The ANSSI-CC-2020/43 certificate makes a refer...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>98</th>\n",
-       "      <td>BSI-DSZ-CC-0827-V8-2020</td>\n",
-       "      <td>BSI-DSZ-CC-1158-2020</td>\n",
-       "      <td>Digital Tachograph DTCO 1381, Release 4.0e</td>\n",
-       "      <td>Infineon Technologies Smart Card IC (Security ...</td>\n",
-       "      <td>irrelevant</td>\n",
-       "      <td>unclear</td>\n",
+       "      <td>BSI-DSZ-CC-0410-2007</td>\n",
+       "      <td>ANSSI-CC-2008/14</td>\n",
+       "      <td>ID-One EPass 64 v2.0 with EAC ECC</td>\n",
+       "      <td>NXP Secure Smart Card Controller P5CD080V0B, P...</td>\n",
        "      <td>component_used</td>\n",
-       "      <td>The referenced certificate BSI-DSZ-CC-0750-V2-...</td>\n",
+       "      <td>None</td>\n",
+       "      <td>previous_version</td>\n",
+       "      <td>The certificate BSI-DSZ-CC-0911-2014 is refere...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -617,75 +568,75 @@
        "</div>"
       ],
       "text/plain": [
-       "             target_cert_id                     cert_id  \\\n",
-       "0          ANSSI-CC-2009/34            ANSSI-CC-2009/35   \n",
-       "1   BSI-DSZ-CC-0891-V3-2018  JISEC-CC-CRP-C0649-01-2019   \n",
-       "2          ANSSI-CC-2021/49            ANSSI-CC-2022/28   \n",
-       "3          ANSSI-CC-2010/02            ANSSI-CC-2011/62   \n",
-       "4   BSI-DSZ-CC-0891-V3-2018     BSI-DSZ-CC-0869-V2-2019   \n",
-       "..                      ...                         ...   \n",
-       "94         ANSSI-CC-2012/68            ANSSI-CC-2014/25   \n",
-       "95         ANSSI-CC-2017/47            ANSSI-CC-2017/72   \n",
-       "96  BSI-DSZ-CC-0945-V2-2018          NSCIB-CC-200689-CR   \n",
-       "97  BSI-DSZ-CC-0950-V2-2018     BSI-DSZ-CC-0596-V2-2018   \n",
-       "98  BSI-DSZ-CC-0827-V8-2020        BSI-DSZ-CC-1158-2020   \n",
+       "             target_cert_id                  cert_id  \\\n",
+       "0      BSI-DSZ-CC-1040-2019      NSCIB-CC-0229284-CR   \n",
+       "1   BSI-DSZ-CC-0827-V8-2020     BSI-DSZ-CC-1158-2020   \n",
+       "2      BSI-DSZ-CC-0782-2012     BSI-DSZ-CC-0879-2014   \n",
+       "3   BSI-DSZ-CC-0957-V2-2016     BSI-DSZ-CC-1035-2017   \n",
+       "4          ANSSI-CC-2012/68         ANSSI-CC-2014/25   \n",
+       "..                      ...                      ...   \n",
+       "94         ANSSI-CC-2018/40         ANSSI-CC-2020/71   \n",
+       "95  BSI-DSZ-CC-0835-V2-2017  BSI-DSZ-CC-0836-V2-2017   \n",
+       "96         ANSSI-CC-2013/55         ANSSI-CC-2013/64   \n",
+       "97         ANSSI-CC-2018/52         ANSSI-CC-2018/55   \n",
+       "98     BSI-DSZ-CC-0410-2007         ANSSI-CC-2008/14   \n",
        "\n",
        "                                                 name  \\\n",
-       "0   Trusted Logic. Carte à puce JCLXxxjTOPyyIDv2 :...   \n",
-       "1   ID&Trust IDentity-J with SAC (BAC+PACE) and AA...   \n",
-       "2   NPCT7xx TPM2.0 rev 1.59 (configuration version...   \n",
-       "3   Carte CC IDeal Citiz (sur composants SB23YR80B...   \n",
-       "4   Java Card Platform Implementation for Infineon...   \n",
+       "0   NXP eDoc Suite v3.5 on JCOP4 P71 - cryptovisio...   \n",
+       "1          Digital Tachograph DTCO 1381, Release 4.0e   \n",
+       "2   Infineon Security Controller M7893 B11 with op...   \n",
+       "3   TCOS Secure Crypto Module Version 1.0 Release ...   \n",
+       "4           SOMA801STM - application BAC, version 1.0   \n",
        "..                                                ...   \n",
-       "94          SOMA801STM - application BAC, version 1.0   \n",
-       "95  Taiwan eID Applet PACE with CAM, CA and AA on ...   \n",
-       "96  Idemia CombICAO Applet in EAC configuration on...   \n",
-       "97               ORGA 930 M online and Cherry ST-1530   \n",
-       "98         Digital Tachograph DTCO 1381, Release 4.0e   \n",
+       "94  S3FV9RR/S3FV9RQ/S3FV9RP/S3FV9RK 32-bit RISC Mi...   \n",
+       "95  TCOS Residence Permit Card Version 1.1 Release...   \n",
+       "96  Carte à puce SLJ 52 Gxx yyy AL : application p...   \n",
+       "97                                      P73N2M0B0.2C2   \n",
+       "98                  ID-One EPass 64 v2.0 with EAC ECC   \n",
        "\n",
-       "                                          target_name             label  \\\n",
-       "0   JCLX80jTOP20ID : Java Trusted Open Platform IF...    component_used   \n",
-       "1   Infineon Security Controller M7892 Design Step...    component_used   \n",
-       "2   NPCT7xx TPM2.0 rev 1.59 (configuration version...  previous_version   \n",
-       "3   STMicroelectronics SA23YR48/80B and SB23YR48/8...    component_used   \n",
-       "4   Infineon Security Controller M7892 Design Step...    component_used   \n",
-       "..                                                ...               ...   \n",
-       "94  Microcontrôleurs sécurisés SA23YR80/48 et SB23...    component_used   \n",
-       "95  Plateforme ID-One Cosmo v8.1-N-Standard LDS ma...    component_used   \n",
-       "96  Infineon smart card IC (Security Controller) I...        irrelevant   \n",
-       "97                  KoCoBox MED+ Netzkonnektor, 1.3.4              None   \n",
-       "98  Infineon Technologies Smart Card IC (Security ...        irrelevant   \n",
+       "                                          target_name              label  \\\n",
+       "0   NXP Secure Smart Card Controller N7121 with IC...     component_used   \n",
+       "1   Infineon Technologies Smart Card IC (Security ...         irrelevant   \n",
+       "2   Infineon Security Controller M7892 B11 with op...      re-evaluation   \n",
+       "3   TCOS Smart Meter Security Module Version 1.0 R...  evaluation_reused   \n",
+       "4   Microcontrôleurs sécurisés SA23YR80/48 et SB23...     component_used   \n",
+       "..                                                ...                ...   \n",
+       "94  S3FV9RR/S3FV9RQ/S3FV9RP/S3FV9RK 32-bit RISC Mi...   previous_version   \n",
+       "95  TCOS Residence Permit Card Version 1.1 Release...   component_shared   \n",
+       "96  Plateforme jTOP INFv#46 masquée sur composants...     component_used   \n",
+       "97                                      P73N2M0B0.202     component_used   \n",
+       "98  NXP Secure Smart Card Controller P5CD080V0B, P...     component_used   \n",
        "\n",
-       "                                comment    gpt4omini_label  \\\n",
-       "0                                  None   previous_version   \n",
-       "1                                  None     component_used   \n",
-       "2                                  None     component_used   \n",
-       "3                                  None  evaluation_reused   \n",
-       "4                                  None  evaluation_reused   \n",
-       "..                                  ...                ...   \n",
-       "94                                 None      re-evaluation   \n",
-       "95                                 None  evaluation_reused   \n",
-       "96                                 None      re-evaluation   \n",
-       "97  unclear, mentions just ToE delivery   previous_version   \n",
-       "98                              unclear     component_used   \n",
+       "                                              comment   gpt4omini_label  \\\n",
+       "0                                                None     re-evaluation   \n",
+       "1                                             unclear    component_used   \n",
+       "2                                                None    component_used   \n",
+       "3   unclear, mentions that this is a “re-evaluatio...    component_used   \n",
+       "4                                                None     re-evaluation   \n",
+       "..                                                ...               ...   \n",
+       "94                                               None    component_used   \n",
+       "95                                    BAC, EAC thingy     re-evaluation   \n",
+       "96                                               None              none   \n",
+       "97                                               None    component_used   \n",
+       "98                                               None  previous_version   \n",
        "\n",
        "                                     gpt4omini_reason  \n",
-       "0   The ANSSI-CC-2016/69 certificate is a newer ve...  \n",
-       "1   The examined certificate NSCIB-CC-146301-CR2 r...  \n",
-       "2   The ANSSI-CC-2018/44-S01 certificate explicitl...  \n",
-       "3   The certificate ANSSI-CC-2022/28 explicitly st...  \n",
-       "4   The evaluated certificate ANSSI-CC-2022/29 sta...  \n",
+       "0   The text indicates that BSI-DSZ-CC-0961-2017 i...  \n",
+       "1   The relationship between ANSSI-CC-2018/18 and ...  \n",
+       "2   The referenced certificate BSI-DSZ-CC-0891-V3-...  \n",
+       "3   The certificate BSI-DSZ-CC-1040-2019 is refere...  \n",
+       "4   The text indicates that BSI-DSZ-CC-0680-2010 i...  \n",
        "..                                                ...  \n",
-       "94  The text from the reviewed certificate BSI-DSZ...  \n",
-       "95  The referenced certificate BSI-DSZ-CC-0957-V2-...  \n",
-       "96  The reviewed certificate BSI-DSZ-CC-0976-V2-20...  \n",
-       "97  BSI-DSZ-CC-0911-2014 provides Basic Access Con...  \n",
-       "98  The referenced certificate BSI-DSZ-CC-0750-V2-...  \n",
+       "94  The examined certificate ANSSI-CC-2020/43 incl...  \n",
+       "95  The evaluated certificate CSEC2014007 referenc...  \n",
+       "96  The text from the examined certificate BSI-DSZ...  \n",
+       "97  The ANSSI-CC-2020/43 certificate makes a refer...  \n",
+       "98  The certificate BSI-DSZ-CC-0911-2014 is refere...  \n",
        "\n",
        "[99 rows x 8 columns]"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -696,7 +647,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -707,7 +658,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -716,12 +667,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x400 with 2 Axes>"
       ]
@@ -733,7 +684,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy: 0.1505, F1 score: 0.1790\n"
+      "Accuracy: 0.3636, F1 score: 0.3818\n"
      ]
     }
    ],
@@ -752,7 +703,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -762,12 +713,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x400 with 2 Axes>"
       ]
@@ -779,7 +730,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy: 0.4731, F1 score: 0.5060\n"
+      "Accuracy: 0.6136, F1 score: 0.6338\n"
      ]
     }
    ],