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TSV

A tab-separated values (TSV) 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.

UnstructuredTSVLoader

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.

from langchain_community.document_loaders.tsv import UnstructuredTSVLoader

loader = UnstructuredTSVLoader(
file_path="./example_data/mlb_teams_2012.csv", mode="elements"
)
docs = loader.load()

print(docs[0].metadata["text_as_html"])
API Reference:UnstructuredTSVLoader
<table border="1" class="dataframe">
<tbody>
<tr>
<td>Team, "Payroll (millions)", "Wins"</td>
</tr>
<tr>
<td>Nationals, 81.34, 98</td>
</tr>
<tr>
<td>Reds, 82.20, 97</td>
</tr>
<tr>
<td>Yankees, 197.96, 95</td>
</tr>
<tr>
<td>Giants, 117.62, 94</td>
</tr>
<tr>
<td>Braves, 83.31, 94</td>
</tr>
<tr>
<td>Athletics, 55.37, 94</td>
</tr>
<tr>
<td>Rangers, 120.51, 93</td>
</tr>
<tr>
<td>Orioles, 81.43, 93</td>
</tr>
<tr>
<td>Rays, 64.17, 90</td>
</tr>
<tr>
<td>Angels, 154.49, 89</td>
</tr>
<tr>
<td>Tigers, 132.30, 88</td>
</tr>
<tr>
<td>Cardinals, 110.30, 88</td>
</tr>
<tr>
<td>Dodgers, 95.14, 86</td>
</tr>
<tr>
<td>White Sox, 96.92, 85</td>
</tr>
<tr>
<td>Brewers, 97.65, 83</td>
</tr>
<tr>
<td>Phillies, 174.54, 81</td>
</tr>
<tr>
<td>Diamondbacks, 74.28, 81</td>
</tr>
<tr>
<td>Pirates, 63.43, 79</td>
</tr>
<tr>
<td>Padres, 55.24, 76</td>
</tr>
<tr>
<td>Mariners, 81.97, 75</td>
</tr>
<tr>
<td>Mets, 93.35, 74</td>
</tr>
<tr>
<td>Blue Jays, 75.48, 73</td>
</tr>
<tr>
<td>Royals, 60.91, 72</td>
</tr>
<tr>
<td>Marlins, 118.07, 69</td>
</tr>
<tr>
<td>Red Sox, 173.18, 69</td>
</tr>
<tr>
<td>Indians, 78.43, 68</td>
</tr>
<tr>
<td>Twins, 94.08, 66</td>
</tr>
<tr>
<td>Rockies, 78.06, 64</td>
</tr>
<tr>
<td>Cubs, 88.19, 61</td>
</tr>
<tr>
<td>Astros, 60.65, 55</td>
</tr>
</tbody>
</table>

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