langchain/docs/versioned_docs/version-0.2.x/integrations/document_loaders/tsv.ipynb

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    "# TSV\n",
    "\n",
    ">A [tab-separated values (TSV)](https://en.wikipedia.org/wiki/Tab-separated_values) file is a simple, text-based file format for storing tabular data.[3] Records are separated by newlines, and values within a record are separated by tab characters."
   ]
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   "source": [
    "## `UnstructuredTSVLoader`\n",
    "\n",
    "You can also load the table using the `UnstructuredTSVLoader`. One advantage of using `UnstructuredTSVLoader` is that if you use it in `\"elements\"` mode, an HTML representation of the table will be available in the metadata."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_community.document_loaders.tsv import UnstructuredTSVLoader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = UnstructuredTSVLoader(\n",
    "    file_path=\"example_data/mlb_teams_2012.csv\", mode=\"elements\"\n",
    ")\n",
    "docs = loader.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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     "text": [
      "<table border=\"1\" class=\"dataframe\">\n",
      "  <tbody>\n",
      "    <tr>\n",
      "      <td>Nationals,     81.34, 98</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Reds,          82.20, 97</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Yankees,      197.96, 95</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Giants,       117.62, 94</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Braves,        83.31, 94</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Athletics,     55.37, 94</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Rangers,      120.51, 93</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Orioles,       81.43, 93</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Rays,          64.17, 90</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Angels,       154.49, 89</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Tigers,       132.30, 88</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Cardinals,    110.30, 88</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Dodgers,       95.14, 86</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>White Sox,     96.92, 85</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Brewers,       97.65, 83</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Phillies,     174.54, 81</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Diamondbacks,  74.28, 81</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Pirates,       63.43, 79</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Padres,        55.24, 76</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Mariners,      81.97, 75</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Mets,          93.35, 74</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Blue Jays,     75.48, 73</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Royals,        60.91, 72</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Marlins,      118.07, 69</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Red Sox,      173.18, 69</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Indians,       78.43, 68</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Twins,         94.08, 66</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Rockies,       78.06, 64</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Cubs,          88.19, 61</td>\n",
      "    </tr>\n",
      "    <tr>\n",
      "      <td>Astros,        60.65, 55</td>\n",
      "    </tr>\n",
      "  </tbody>\n",
      "</table>\n"
     ]
    }
   ],
   "source": [
    "print(docs[0].metadata[\"text_as_html\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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