Add multilingual to the language tag

README.md

@@ -1,17 +1,22 @@
 ---
-language: 
+language:
 - de
 - fr
 - it
-pipeline_tag: fill-mask
+- multilingual
 license: cc-by-nc-sa-4.0
 tags:
 - legal
 - fairlex
+pipeline_tag: fill-mask
 widget:
-- text: "Aus seinem damaligen strafbaren Verhalten resultierte eine Forderung der Nachlassverwaltung eines <mask>, worüber eine aussergerichtliche Vereinbarung über Fr. 500'000."
-- text: " Elle avait pour but social les <mask> dans le domaine des changes, en particulier l'exploitation d'une plateforme internet."
-- text: "Il Pretore ha accolto la petizione con sentenza 16 luglio 2015, accordando all'attore l'importo <mask>, con interessi di mora a partire dalla notifica del precetto esecutivo, e ha rigettato in tale misura l'opposizione interposta a quest'ultimo."
+- text: Aus seinem damaligen strafbaren Verhalten resultierte eine Forderung der Nachlassverwaltung
+    eines <mask>, wor�ber eine aussergerichtliche Vereinbarung �ber Fr. 500'000.
+- text: ' Elle avait pour but social les <mask> dans le domaine des changes, en particulier
+    l''exploitation d''une plateforme internet.'
+- text: Il Pretore ha accolto la petizione con sentenza 16 luglio 2015, accordando
+    all'attore l'importo <mask>, con interessi di mora a partire dalla notifica del
+    precetto esecutivo, e ha rigettato in tale misura l'opposizione interposta a quest'ultimo.
 ---
 
 
@@ -21,7 +26,7 @@ We present a benchmark suite of four datasets for evaluating the fairness of pre
 
 ---
 
-Ilias Chalkidis, Tommaso Passini, Sheng Zhang, Letizia Tomada, Sebastian Felix Schwemer, and Anders Søgaard. 2022.  FairLex:  A multilingual bench-mark for evaluating fairness in legal text processing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland.
+Ilias Chalkidis, Tommaso Passini, Sheng Zhang, Letizia Tomada, Sebastian Felix Schwemer, and Anders S�gaard. 2022.  FairLex:  A multilingual bench-mark for evaluating fairness in legal text processing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland.
 
 ---
 
@@ -57,7 +62,7 @@ model = AutoModel.from_pretrained("coastalcph/fairlex-fscs-minlm")
 
 Consider the experiments in the article:
 
-_Ilias Chalkidis, Tommaso Passini, Sheng Zhang, Letizia Tomada, Sebastian Felix Schwemer, and Anders Søgaard. 2022.  Fairlex:  A multilingual bench-mark for evaluating fairness in legal text processing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland._
+_Ilias Chalkidis, Tommaso Passini, Sheng Zhang, Letizia Tomada, Sebastian Felix Schwemer, and Anders S�gaard. 2022.  Fairlex:  A multilingual bench-mark for evaluating fairness in legal text processing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland._
 
 
 ## Author - Publication
@@ -65,7 +70,7 @@ _Ilias Chalkidis, Tommaso Passini, Sheng Zhang, Letizia Tomada, Sebastian Felix
 ```
 @inproceedings{chalkidis-2022-fairlex,
 author={Chalkidis, Ilias and Passini, Tommaso and Zhang, Sheng and
-        Tomada, Letizia and Schwemer, Sebastian Felix and Søgaard, Anders},
+        Tomada, Letizia and Schwemer, Sebastian Felix and S�gaard, Anders},
 title={FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing},
 booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics},
 year={2022},