updated readme und dummy test

README.md

@@ -5,29 +5,29 @@ annotations_creators:
 language_creators:
 - found
 languages:
-- en,
-- da,
-- de,
-- nl,
-- sv,
-- bg,
-- cs,
-- hr,
-- pl,
-- sk,
-- sl,
-- es,
-- fr,
-- it,
-- pt,
-- ro,
-- et,
-- fi,
-- hu,
-- lt,
-- lv,
-- el,
-- mt,
+- en
+- da
+- de
+- nl
+- sv
+- bg
+- cs
+- hr
+- pl
+- sk
+- sl
+- es
+- fr
+- it
+- pt
+- ro
+- et
+- fi
+- hu
+- lt
+- lv
+- el
+- mt
 licenses:
 - cc-by-4.0
 multilinguality:
@@ -58,7 +58,7 @@ task_ids:
 ## Table of Contents
 - [Dataset Description](#dataset-description)
   - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Supported Tasks](#supported-tasks)
   - [Languages](#languages)
 - [Dataset Structure](#dataset-structure)
   - [Data Instances](#data-instances)
@@ -81,37 +81,137 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:**
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
+- **Repository: https://git.rwth-aachen.de/johanna.frenz/legalglue**
 
 ### Dataset Summary
 
-[More Information Needed]
+The "Legal General Language Understanding Evaluation" (LegalGLUE) dataset was created as part of a bachelor thesis.
+It consists of four already existing datasets covering three task types and a total of 23 different languages.
 
-### Supported Tasks and Leaderboards
+### Supported Tasks
 
-[More Information Needed]
+<table>
+<tr><td>Dataset</td><td>Source</td><td>Task Type</td><td>Languages</td><tr>
+
+
+<tr><td>German_LER</td><td> <a href="https://arxiv.org/abs/2003.13016">Leitner et al.</a></td><td>Named Entity Recognition</td><td>German</td></tr>
+<tr><td>LeNER_Br</td><td> <a href="https://github.com/peluz/lener-br"> de Araujo et al., 2018</a></td><td>Named Entity Recognition</td><td> Portuguese </td></tr>
+<tr><td>SwissJudgmentPrediction</td><td> <a href="https://arxiv.org/abs/2110.00806">Niklaus et al.</a> </td><td>Binary Text Classification</td><td>German, French, Italian</td></tr>
+<tr><td>MultEURLEX</td><td> <a href="https://arxiv.org/abs/2109.00904">Chalkidis et al. </a> </td><td>Multi-label Text Classification</td><td>23 languages (see below)</td></tr>
+
+</table>
 
 ### Languages
 
-[More Information Needed]
 
 ## Dataset Structure
 
 ### Data Instances
 
-[More Information Needed]
-
+####German_LER
+
+German_LER example
+
+```json
+{
+  'id': '66722',
+  'tokens':['4.', 'Die', 'Kostenentscheidung', 'für', 'das', 'gerichtliche', 'Antragsverfahren', 'beruht', 'auf', '§', '21', 'Abs.', '2', 'Satz', '1', 'i.', 'V.', 'm.', '§', '20', 'Abs.', '1', 'Satz', '1', 'WBO', '.'],
+  'ner_tags': [38, 38, 38, 38, 38, 38, 38, 38, 38, 3, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 38]
+}
+
+```
+####LeNER-Br
+
+LeNER-Br example
+
+```json
+{
+  'id': '7826',
+  'tokens': ['Firmado', 'por', 'assinatura', 'digital', '(', 'MP', '2.200-2/2001', ')', 'JOSÉ', 'ROBERTO', 'FREIRE', 'PIMENTA', 'Ministro', 'Relator', 'fls', '.', 'PROCESSO', 'Nº', 'TST-RR-1603-79.2010.5.20.0001'],
+  'ner_tags': [0, 0, 0, 0, 0, 9, 10, 0, 3, 4, 4, 4, 0, 0, 0, 0, 11, 12, 12]}
+```
+
+####SwissJudgmentPrediction
+
+swissJudgmentPrediction_de example
+
+```json
+{
+  'id': 48755,
+  'year': 2014,
+  'text': "Sachverhalt: A. X._ fuhr am 25. Juli 2012 bei Mülligen mit seinem Personenwagen auf dem zweiten Überholstreifen der Autobahn A1 in Richtung Zürich. Gemäss Anklage schloss er auf einen Lieferwagen auf und schwenkte vom zweiten auf den ersten Überholstreifen aus. Danach fuhr er an zwei Fahrzeugen rechts vorbei und wechselte auf die zweite Überholspur zurück. B. Das Obergericht des Kantons Aargau erklärte X._ am 14. Januar 2014 zweitinstanzlich der groben Verletzung der Verkehrsregeln schuldig. Es bestrafte ihn mit einer bedingten Geldstrafe von 30 Tagessätzen zu Fr. 430.-- und einer Busse von Fr. 3'000.--. C. X._ führt Beschwerde in Strafsachen. Er beantragt, er sei von Schuld und Strafe freizusprechen. Eventualiter sei die Sache an die Vorinstanz zurückzuweisen. ",
+  'label': 0,
+  'language': 'de',
+  'region': 'Northwestern Switzerland',
+  'canton': 'ag',
+  'legal area': 'penal law'
+}
+```
+
+####MultiEURLEX
+
+Monolingual example out of the MultiEURLEX-Datase
+
+```json
+{
+  'celex_id': '32002R0130',
+  'text': 'Verordnung (EG) Nr. 130/2002 der Kommission\nvom 24. Januar 2002\nbezüglich der im Rahmen der Auss...',
+  'labels': [3, 17, 5]}
+```
+
+Multilingual example out of the MultiEURLEX-Dataset
+```json
+{
+  'celex_id': '32002R0130',
+  'text': {
+    'bg': None,
+    'cs': None,
+    'da': 'Kommissionens ...',
+    'de': 'Verordnung ... ',
+    'el': '...',
+    'en': '...',
+    ...
+    },
+    'labels': [3, 17, 5]
+  }
+```
 ### Data Fields
 
 [More Information Needed]
 
 ### Data Splits
 
-[More Information Needed]
+<table>
+<tr><th>Dataset</th><th> Language </th> <th>   ISO code </th> <th>   Number of Documents train/dev/test </th> </tr>
+<tr><td>German-LER</td><td> German </td> <td>  de </td> <td>  66723 / - / -  </td> </tr>
+<tr><td>LeNER-Br</td><td> Portuguese </td> <td>   pt </td> <td>   7828 / 1177 / 1390 </td> </tr>
+<tr><td rowspan="3">SwissJudgmentPrediction</td><td> German </td> <td>  <b>de</b>   </td> <td>  35458 / 4705 / 9725 </td> </tr>
+<tr><td> French </td> <td>  <b>fr</b>   </td> <td>  21179 / 3095 / 6820 </td> </tr>
+<tr><td> Italian </td> <td>  <b>it</b>   </td> <td>  3072 / 408 / 812 </td> </tr>
+<tr><td rowspan="23">MultiEURLEX</td><td> English     </td> <td>  <b>en</b>   </td> <td>  55,000 / 5,000 / 5,000 </td> </tr>
+<tr><td> German      </td> <td>  <b>de</b>   </td> <td> 55,000 / 5,000 / 5,000 </td> </tr>
+<tr><td> French      </td> <td>  <b>fr</b>   </td> <td> 55,000 / 5,000 / 5,000 </td> </tr>
+<tr><td> Italian     </td> <td>  <b>it</b>   </td> <td>  55,000 / 5,000 / 5,000 </td> </tr>
+<tr><td> Spanish     </td> <td>  <b>es</b>   </td> <td>  52,785 / 5,000 / 5,000 </td> </tr>
+<tr><td> Polish      </td> <td>  <b>pl</b>   </td> <td>  23,197 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Romanian    </td> <td>  <b>ro</b>   </td> <td>  15,921 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Dutch       </td> <td>  <b>nl</b>   </td> <td>  55,000 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Greek       </td> <td>  <b>el</b>   </td> <td>  55,000 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Hungarian   </td> <td>  <b>hu</b>   </td> <td>  22,664 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Portuguese  </td> <td>  <b>pt</b>   </td> <td>  23,188 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Czech       </td> <td>  <b>cs</b>   </td> <td>  23,187 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Swedish     </td> <td>  <b>sv</b>   </td> <td>  42,490 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Bulgarian   </td> <td>  <b>bg</b>   </td> <td>  15,986 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Danish      </td> <td>  <b>da</b>   </td> <td>  55,000 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Finnish     </td> <td>  <b>fi</b>   </td> <td>  42,497 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Slovak      </td> <td>  <b>sk</b>   </td> <td>  15,986 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Lithuanian  </td> <td>  <b>lt</b>   </td> <td>  23,188 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Croatian    </td> <td>  <b>hr</b>   </td> <td>  7,944 / 2,500 / 5,000  </td> </tr>  
+<tr><td> Slovene     </td> <td>  <b>sl</b>   </td> <td>  23,184 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Estonian    </td> <td>  <b>et</b>   </td> <td>  23,126 / 5,000 / 5,000 </td> </tr>
+<tr><td> Latvian     </td> <td>  <b>lv</b>   </td> <td>  23,188 / 5,000 / 5,000 </td> </tr>  
+<tr><td> Maltese     </td> <td>  <b>mt</b>   </td> <td>  17,521 / 5,000 / 5,000 </td> </tr>  
+</table>
 
 ## Dataset Creation
 

dummy/multi_eurlex_all_languages/1.1.0/dummy_data.zip

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+size 504813

dummy/multi_eurlex_bg/1.1.0/dummy_data.zip

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