Clean OpenLegalData - German

<p>This&nbsp;dataset of German court cases&nbsp;is obtained from <a href="https://arxiv.org/abs/2005.13342">OpenLegalData</a>. The data received clearly mentioned information such as <em>court</em>, <em>level of appeal</em>, and <em>ECLI</em> (<em>European Case Law Identifier</em>). However, <em>tenor</em>, <em>tatbestand</em>, <em>gr&uuml;nde</em>, and <em>entscheidungsgr&uuml;nde</em> were available only in HTML format. Out of over <em>100000</em> extracted cases, we were able to parse &nbsp;<em>43337</em> HTML only due to structural problems with HTML content.</p> <p>The resulting dataset is approximate <em>~1.1 GBs</em> with <em>43337</em> rows and has the following <em>12</em> features:</p> <table> <tbody> <tr> <td><strong>Feature</strong></td> <td><strong>Total</strong></td> <td><strong>Example content</strong></td> </tr> <tr> <td>id</td> <td>43337</td> <td>127981</td> </tr> <tr> <td>slug</td> <td>43337</td> <td>ag-volklingen-2002-07-10-5c-c-24102</td> </tr> <tr> <td>ecli</td> <td>10831</td> <td>NaN</td> </tr> <tr> <td>date</td> <td>43337</td> <td>2002-07-10</td> </tr> <tr> <td>court</td> <td>43337</td> <td>Amtsgericht V&ouml;lklingen</td> </tr> <tr> <td>jurisdiction</td> <td>43337</td> <td>Ordentliche Gerichtsbarkeit</td> </tr> <tr> <td>level_of_appeal</td> <td>43337</td> <td>Amtsgericht</td> </tr> <tr> <td>type</td> <td>43337</td> <td>Urteil</td> </tr> <tr> <td>tenor</td> <td>36282</td> <td>1. Die Beklagten werden als Gesamtschuldner verurteilt, an die ...</td> </tr> <tr> <td>tatbestand</td> <td>24243</td> <td>Auf die Darstellung des Tatbestandes wird gem&auml;&szlig; &sect; 313 Abs ...</td> </tr> <tr> <td>gr&uuml;nde</td> <td>27144</td> <td>Die Klage ist zul&auml;ssig und begr&uuml;ndet. Die Kl&auml;gerin kann von de...</td> </tr> <tr> <td>entscheidungsgr&uuml;nde</td> <td>24038</td> <td>Die Klage ist zul&auml;ssig und begr&uuml;ndet. Die Kl&auml;gerin kann von de...</td> </tr> </tbody> </table> <p><strong>Important</strong>: Make sure to use &quot;<strong>|</strong>&quot;<strong> </strong><em>(pipe-symbol)</em>&nbsp;as CSV separator.</p> <p><strong>Example</strong>:</p> <pre><code class="language-python">data = pd.read_csv('clean_OLD.csv', sep="|")</code></pre> <p>&nbsp;</p>