restructure for hf

README.md

@@ -59,15 +59,15 @@ dataset = load_dataset("siavava/ai-tech-articles")
 df = dataset["train"].to_pandas()
 ```
 
-> [!NOTE]
-> You do not need to clone this repo.
->
-> HuggingFace will download the dataset for you, the first time that you load it,
-> and cache it so it does not need to re-download it again
-> (unless it detects a change upstream).
+You do not need to clone this repo.
+HuggingFace will download the dataset for you, the first time that you load it,
+and cache it locally so it does not need to re-download it again
+(unless it detects a change upstream).
 
 ## File Structure
 
-- [analytics.ipynb](analytics.ipynb) - Notebook containing some details about the dataset and how to load it.
-- [data/index.parquet](./index.csv) - compressed [parquet](https://www.databricks.com/glossary/what-is-parquet) containing the data.
+- [`analytics.ipynb`](analytics.ipynb) - Notebook containing some details about the dataset.
+- [`example.ipynb`](example.ipynb) - A minimal notebook that loads in the dataset and converts to Pandas.
+- [`raw.csv`](raw.csv) - The raw data, in CSV format.
+- `data/*.parquet`- compressed [parquet](https://www.databricks.com/glossary/what-is-parquet) containing the data.
 - For raw text files, see the [scraper repo](https://github.com/siavava/scrape.hs) on GitHub.

analytics.ipynb

@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -31,9 +31,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "15d5e7a1a1f44517adab6907cd675b92",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading readme:   0%|          | 0.00/1.87k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "text/html": [
@@ -60,66 +74,60 @@
        "      <th>title</th>\n",
        "      <th>url</th>\n",
        "      <th>text</th>\n",
-       "      <th>__index_level_0__</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>0</td>\n",
-       "      <td>2023.0</td>\n",
+       "      <td>2023</td>\n",
        "      <td>\"MIT Technology Review\"</td>\n",
        "      <td>\"https://www.technologyreview.com\"</td>\n",
        "      <td>\"Featured Topics Newsletters Events Podcasts F...</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>1</td>\n",
-       "      <td>2023.0</td>\n",
+       "      <td>2023</td>\n",
        "      <td>\"WIRED - The Latest in Technology, Science, Cu...</td>\n",
        "      <td>\"https://www.wired.com\"</td>\n",
        "      <td>\"Open Navigation Menu To revisit this article,...</td>\n",
-       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>2</td>\n",
-       "      <td>2019.0</td>\n",
+       "      <td>2019</td>\n",
        "      <td>\"The Verge\"</td>\n",
        "      <td>\"https://www.theverge.com\"</td>\n",
        "      <td>\"The Verge homepage The Verge The Verge logo.\\...</td>\n",
-       "      <td>2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>3</td>\n",
-       "      <td>2023.0</td>\n",
+       "      <td>2023</td>\n",
        "      <td>\"TechCrunch | Startup and Technology News\"</td>\n",
        "      <td>\"https://www.techcrunch.com\"</td>\n",
        "      <td>\"WeWork reportedly on the verge of filing for ...</td>\n",
-       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>4</td>\n",
-       "      <td>2022.0</td>\n",
+       "      <td>2022</td>\n",
        "      <td>\"A new vision of artificial intelligence for t...</td>\n",
        "      <td>\"https://www.technologyreview.com/2022/04/22/1...</td>\n",
        "      <td>\"Featured Topics Newsletters Events Podcasts A...</td>\n",
-       "      <td>4</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   id    year                                              title  \\\n",
-       "0   0  2023.0                            \"MIT Technology Review\"   \n",
-       "1   1  2023.0  \"WIRED - The Latest in Technology, Science, Cu...   \n",
-       "2   2  2019.0                                        \"The Verge\"   \n",
-       "3   3  2023.0         \"TechCrunch | Startup and Technology News\"   \n",
-       "4   4  2022.0  \"A new vision of artificial intelligence for t...   \n",
+       "   id  year                                              title  \\\n",
+       "0   0  2023                            \"MIT Technology Review\"   \n",
+       "1   1  2023  \"WIRED - The Latest in Technology, Science, Cu...   \n",
+       "2   2  2019                                        \"The Verge\"   \n",
+       "3   3  2023         \"TechCrunch | Startup and Technology News\"   \n",
+       "4   4  2022  \"A new vision of artificial intelligence for t...   \n",
        "\n",
        "                                                 url  \\\n",
        "0                 \"https://www.technologyreview.com\"   \n",
@@ -128,15 +136,15 @@
        "3                       \"https://www.techcrunch.com\"   \n",
        "4  \"https://www.technologyreview.com/2022/04/22/1...   \n",
        "\n",
-       "                                                text  __index_level_0__  \n",
-       "0  \"Featured Topics Newsletters Events Podcasts F...                  0  \n",
-       "1  \"Open Navigation Menu To revisit this article,...                  1  \n",
-       "2  \"The Verge homepage The Verge The Verge logo.\\...                  2  \n",
-       "3  \"WeWork reportedly on the verge of filing for ...                  3  \n",
-       "4  \"Featured Topics Newsletters Events Podcasts A...                  4  "
+       "                                                text  \n",
+       "0  \"Featured Topics Newsletters Events Podcasts F...  \n",
+       "1  \"Open Navigation Menu To revisit this article,...  \n",
+       "2  \"The Verge homepage The Verge The Verge logo.\\...  \n",
+       "3  \"WeWork reportedly on the verge of filing for ...  \n",
+       "4  \"Featured Topics Newsletters Events Podcasts A...  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -150,7 +158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {

counts.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:06a4a5ec4a4ac58a3f578ae83ad05450730de0a7700dab86e0ce8c21c60dde9f
-size 535

test.ipynb

@@ -22,43 +22,14 @@
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b56274faa04d46c0a8ce3871242ffc6e",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading readme:   0%|          | 0.00/1.37k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "ename": "FileNotFoundError",
-     "evalue": "Couldn't find a dataset script at /Users/amittaijoel/workspace/crawl.hs/data/metadata/siavava/ai-tech-articles/ai-tech-articles.py or any data file in the same directory. Couldn't find 'siavava/ai-tech-articles' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in siavava/ai-tech-articles. ",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[1;32m/Users/amittaijoel/workspace/crawl.hs/data/metadata/test.ipynb Cell 3\u001b[0m line \u001b[0;36m1\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/amittaijoel/workspace/crawl.hs/data/metadata/test.ipynb#W2sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m dt \u001b[39m=\u001b[39m load_dataset(\u001b[39m\"\u001b[39;49m\u001b[39msiavava/ai-tech-articles\u001b[39;49m\u001b[39m\"\u001b[39;49m)\n",
-      "File \u001b[0;32m~/miniconda3/envs/data-mining/lib/python3.11/site-packages/datasets/load.py:2129\u001b[0m, in \u001b[0;36mload_dataset\u001b[0;34m(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_kwargs)\u001b[0m\n\u001b[1;32m   2124\u001b[0m verification_mode \u001b[39m=\u001b[39m VerificationMode(\n\u001b[1;32m   2125\u001b[0m     (verification_mode \u001b[39mor\u001b[39;00m VerificationMode\u001b[39m.\u001b[39mBASIC_CHECKS) \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m save_infos \u001b[39melse\u001b[39;00m VerificationMode\u001b[39m.\u001b[39mALL_CHECKS\n\u001b[1;32m   2126\u001b[0m )\n\u001b[1;32m   2128\u001b[0m \u001b[39m# Create a dataset builder\u001b[39;00m\n\u001b[0;32m-> 2129\u001b[0m builder_instance \u001b[39m=\u001b[39m load_dataset_builder(\n\u001b[1;32m   2130\u001b[0m     path\u001b[39m=\u001b[39;49mpath,\n\u001b[1;32m   2131\u001b[0m     name\u001b[39m=\u001b[39;49mname,\n\u001b[1;32m   2132\u001b[0m     data_dir\u001b[39m=\u001b[39;49mdata_dir,\n\u001b[1;32m   2133\u001b[0m     data_files\u001b[39m=\u001b[39;49mdata_files,\n\u001b[1;32m   2134\u001b[0m     cache_dir\u001b[39m=\u001b[39;49mcache_dir,\n\u001b[1;32m   2135\u001b[0m     features\u001b[39m=\u001b[39;49mfeatures,\n\u001b[1;32m   2136\u001b[0m     download_config\u001b[39m=\u001b[39;49mdownload_config,\n\u001b[1;32m   2137\u001b[0m     download_mode\u001b[39m=\u001b[39;49mdownload_mode,\n\u001b[1;32m   2138\u001b[0m     revision\u001b[39m=\u001b[39;49mrevision,\n\u001b[1;32m   2139\u001b[0m     token\u001b[39m=\u001b[39;49mtoken,\n\u001b[1;32m   2140\u001b[0m     storage_options\u001b[39m=\u001b[39;49mstorage_options,\n\u001b[1;32m   2141\u001b[0m     \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mconfig_kwargs,\n\u001b[1;32m   2142\u001b[0m )\n\u001b[1;32m   2144\u001b[0m \u001b[39m# Return iterable dataset in case of streaming\u001b[39;00m\n\u001b[1;32m   2145\u001b[0m \u001b[39mif\u001b[39;00m streaming:\n",
-      "File \u001b[0;32m~/miniconda3/envs/data-mining/lib/python3.11/site-packages/datasets/load.py:1815\u001b[0m, in \u001b[0;36mload_dataset_builder\u001b[0;34m(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, use_auth_token, storage_options, **config_kwargs)\u001b[0m\n\u001b[1;32m   1813\u001b[0m     download_config \u001b[39m=\u001b[39m download_config\u001b[39m.\u001b[39mcopy() \u001b[39mif\u001b[39;00m download_config \u001b[39melse\u001b[39;00m DownloadConfig()\n\u001b[1;32m   1814\u001b[0m     download_config\u001b[39m.\u001b[39mstorage_options\u001b[39m.\u001b[39mupdate(storage_options)\n\u001b[0;32m-> 1815\u001b[0m dataset_module \u001b[39m=\u001b[39m dataset_module_factory(\n\u001b[1;32m   1816\u001b[0m     path,\n\u001b[1;32m   1817\u001b[0m     revision\u001b[39m=\u001b[39;49mrevision,\n\u001b[1;32m   1818\u001b[0m     download_config\u001b[39m=\u001b[39;49mdownload_config,\n\u001b[1;32m   1819\u001b[0m     download_mode\u001b[39m=\u001b[39;49mdownload_mode,\n\u001b[1;32m   1820\u001b[0m     data_dir\u001b[39m=\u001b[39;49mdata_dir,\n\u001b[1;32m   1821\u001b[0m     data_files\u001b[39m=\u001b[39;49mdata_files,\n\u001b[1;32m   1822\u001b[0m )\n\u001b[1;32m   1823\u001b[0m \u001b[39m# Get dataset builder class from the processing script\u001b[39;00m\n\u001b[1;32m   1824\u001b[0m builder_kwargs \u001b[39m=\u001b[39m dataset_module\u001b[39m.\u001b[39mbuilder_kwargs\n",
-      "File \u001b[0;32m~/miniconda3/envs/data-mining/lib/python3.11/site-packages/datasets/load.py:1508\u001b[0m, in \u001b[0;36mdataset_module_factory\u001b[0;34m(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, **download_kwargs)\u001b[0m\n\u001b[1;32m   1506\u001b[0m                 \u001b[39mraise\u001b[39;00m e1 \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m   1507\u001b[0m             \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(e1, \u001b[39mFileNotFoundError\u001b[39;00m):\n\u001b[0;32m-> 1508\u001b[0m                 \u001b[39mraise\u001b[39;00m \u001b[39mFileNotFoundError\u001b[39;00m(\n\u001b[1;32m   1509\u001b[0m                     \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mCouldn\u001b[39m\u001b[39m'\u001b[39m\u001b[39mt find a dataset script at \u001b[39m\u001b[39m{\u001b[39;00mrelative_to_absolute_path(combined_path)\u001b[39m}\u001b[39;00m\u001b[39m or any data file in the same directory. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m   1510\u001b[0m                     \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mCouldn\u001b[39m\u001b[39m'\u001b[39m\u001b[39mt find \u001b[39m\u001b[39m'\u001b[39m\u001b[39m{\u001b[39;00mpath\u001b[39m}\u001b[39;00m\u001b[39m'\u001b[39m\u001b[39m on the Hugging Face Hub either: \u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mtype\u001b[39m(e1)\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m\u001b[39m}\u001b[39;00m\u001b[39m: \u001b[39m\u001b[39m{\u001b[39;00me1\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m\n\u001b[1;32m   1511\u001b[0m                 ) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m   1512\u001b[0m             \u001b[39mraise\u001b[39;00m e1 \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m   1513\u001b[0m \u001b[39melse\u001b[39;00m:\n",
-      "\u001b[0;31mFileNotFoundError\u001b[0m: Couldn't find a dataset script at /Users/amittaijoel/workspace/crawl.hs/data/metadata/siavava/ai-tech-articles/ai-tech-articles.py or any data file in the same directory. Couldn't find 'siavava/ai-tech-articles' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in siavava/ai-tech-articles. "
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "dt = load_dataset(\"siavava/ai-tech-articles\")\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -87,116 +58,105 @@
        "      <th>title</th>\n",
        "      <th>url</th>\n",
        "      <th>text</th>\n",
-       "      <th>__index_level_0__</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>0</td>\n",
-       "      <td>2023.0</td>\n",
+       "      <td>2023</td>\n",
        "      <td>\"MIT Technology Review\"</td>\n",
        "      <td>\"https://www.technologyreview.com\"</td>\n",
        "      <td>\"Featured Topics Newsletters Events Podcasts F...</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>1</td>\n",
-       "      <td>2023.0</td>\n",
+       "      <td>2023</td>\n",
        "      <td>\"WIRED - The Latest in Technology, Science, Cu...</td>\n",
        "      <td>\"https://www.wired.com\"</td>\n",
        "      <td>\"Open Navigation Menu To revisit this article,...</td>\n",
-       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>2</td>\n",
-       "      <td>2019.0</td>\n",
+       "      <td>2019</td>\n",
        "      <td>\"The Verge\"</td>\n",
        "      <td>\"https://www.theverge.com\"</td>\n",
        "      <td>\"The Verge homepage The Verge The Verge logo.\\...</td>\n",
-       "      <td>2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>3</td>\n",
-       "      <td>2023.0</td>\n",
+       "      <td>2023</td>\n",
        "      <td>\"TechCrunch | Startup and Technology News\"</td>\n",
        "      <td>\"https://www.techcrunch.com\"</td>\n",
        "      <td>\"WeWork reportedly on the verge of filing for ...</td>\n",
-       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>4</td>\n",
-       "      <td>2022.0</td>\n",
+       "      <td>2022</td>\n",
        "      <td>\"A new vision of artificial intelligence for t...</td>\n",
        "      <td>\"https://www.technologyreview.com/2022/04/22/1...</td>\n",
        "      <td>\"Featured Topics Newsletters Events Podcasts A...</td>\n",
-       "      <td>4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>5</td>\n",
-       "      <td>2022.0</td>\n",
+       "      <td>2022</td>\n",
        "      <td>\"The scientist who co-created CRISPR isn’t rul...</td>\n",
        "      <td>\"https://www.technologyreview.com/2022/04/26/1...</td>\n",
        "      <td>\"Featured Topics Newsletters Events Podcasts F...</td>\n",
-       "      <td>5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>6</td>\n",
-       "      <td>2022.0</td>\n",
+       "      <td>2022</td>\n",
        "      <td>\"These fast, cheap tests could help us coexist...</td>\n",
        "      <td>\"https://www.technologyreview.com/2022/04/27/1...</td>\n",
        "      <td>\"Featured Topics Newsletters Events Podcasts F...</td>\n",
-       "      <td>6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>7</td>\n",
-       "      <td>2022.0</td>\n",
+       "      <td>2022</td>\n",
        "      <td>\"Tackling multiple tasks with a single visual ...</td>\n",
        "      <td>\"http://www.deepmind.com/blog/tackling-multipl...</td>\n",
        "      <td>\"DeepMind Search Search Close DeepMind About O...</td>\n",
-       "      <td>7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>8</td>\n",
-       "      <td>2019.0</td>\n",
+       "      <td>2019</td>\n",
        "      <td>\"About - Google DeepMind\"</td>\n",
        "      <td>\"https://www.deepmind.com/about\"</td>\n",
        "      <td>\"DeepMind Search Search Close DeepMind About O...</td>\n",
-       "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>9</td>\n",
-       "      <td>2023.0</td>\n",
+       "      <td>2023</td>\n",
        "      <td>\"Blog - Google DeepMind\"</td>\n",
        "      <td>\"https://www.deepmind.com/blog-categories/appl...</td>\n",
        "      <td>\"DeepMind Search Search Close DeepMind About O...</td>\n",
-       "      <td>9</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   id    year                                              title  \\\n",
-       "0   0  2023.0                            \"MIT Technology Review\"   \n",
-       "1   1  2023.0  \"WIRED - The Latest in Technology, Science, Cu...   \n",
-       "2   2  2019.0                                        \"The Verge\"   \n",
-       "3   3  2023.0         \"TechCrunch | Startup and Technology News\"   \n",
-       "4   4  2022.0  \"A new vision of artificial intelligence for t...   \n",
-       "5   5  2022.0  \"The scientist who co-created CRISPR isn’t rul...   \n",
-       "6   6  2022.0  \"These fast, cheap tests could help us coexist...   \n",
-       "7   7  2022.0  \"Tackling multiple tasks with a single visual ...   \n",
-       "8   8  2019.0                          \"About - Google DeepMind\"   \n",
-       "9   9  2023.0                           \"Blog - Google DeepMind\"   \n",
+       "   id  year                                              title  \\\n",
+       "0   0  2023                            \"MIT Technology Review\"   \n",
+       "1   1  2023  \"WIRED - The Latest in Technology, Science, Cu...   \n",
+       "2   2  2019                                        \"The Verge\"   \n",
+       "3   3  2023         \"TechCrunch | Startup and Technology News\"   \n",
+       "4   4  2022  \"A new vision of artificial intelligence for t...   \n",
+       "5   5  2022  \"The scientist who co-created CRISPR isn’t rul...   \n",
+       "6   6  2022  \"These fast, cheap tests could help us coexist...   \n",
+       "7   7  2022  \"Tackling multiple tasks with a single visual ...   \n",
+       "8   8  2019                          \"About - Google DeepMind\"   \n",
+       "9   9  2023                           \"Blog - Google DeepMind\"   \n",
        "\n",
        "                                                 url  \\\n",
        "0                 \"https://www.technologyreview.com\"   \n",
@@ -210,20 +170,20 @@
        "8                   \"https://www.deepmind.com/about\"   \n",
        "9  \"https://www.deepmind.com/blog-categories/appl...   \n",
        "\n",
-       "                                                text  __index_level_0__  \n",
-       "0  \"Featured Topics Newsletters Events Podcasts F...                  0  \n",
-       "1  \"Open Navigation Menu To revisit this article,...                  1  \n",
-       "2  \"The Verge homepage The Verge The Verge logo.\\...                  2  \n",
-       "3  \"WeWork reportedly on the verge of filing for ...                  3  \n",
-       "4  \"Featured Topics Newsletters Events Podcasts A...                  4  \n",
-       "5  \"Featured Topics Newsletters Events Podcasts F...                  5  \n",
-       "6  \"Featured Topics Newsletters Events Podcasts F...                  6  \n",
-       "7  \"DeepMind Search Search Close DeepMind About O...                  7  \n",
-       "8  \"DeepMind Search Search Close DeepMind About O...                  8  \n",
-       "9  \"DeepMind Search Search Close DeepMind About O...                  9  "
+       "                                                text  \n",
+       "0  \"Featured Topics Newsletters Events Podcasts F...  \n",
+       "1  \"Open Navigation Menu To revisit this article,...  \n",
+       "2  \"The Verge homepage The Verge The Verge logo.\\...  \n",
+       "3  \"WeWork reportedly on the verge of filing for ...  \n",
+       "4  \"Featured Topics Newsletters Events Podcasts A...  \n",
+       "5  \"Featured Topics Newsletters Events Podcasts F...  \n",
+       "6  \"Featured Topics Newsletters Events Podcasts F...  \n",
+       "7  \"DeepMind Search Search Close DeepMind About O...  \n",
+       "8  \"DeepMind Search Search Close DeepMind About O...  \n",
+       "9  \"DeepMind Search Search Close DeepMind About O...  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }