Update README.md

README.md

@@ -9,7 +9,10 @@ model-index:
 - name: lexlms/legal-longformer-large
   results: []
 widget:
-- text: "The applicant submitted that her husband was subjected to treatment amounting to [MASK] whilst in the custody of police."
+- text: "The applicant submitted that her husband was subjected to treatment amounting to <mask> whilst in the custody of police."
+- text: "This <mask> Agreement is between General Motors and John Murray."
+- text: "Establishing a system for the identification and registration of <mask> animals and regarding the labelling of beef and beef products."
+- text: "Because the Court granted <mask> before judgment, the Court effectively stands in the shoes of the Court of Appeals and reviews the defendants’ appeals."
 datasets:
 - lexlms/lex_files
 ---
@@ -33,7 +36,7 @@ LexLM (Base/Large) are our newly released RoBERTa models. We follow a series of
 
 [*Ilias Chalkidis\*, Nicolas Garneau\*, Catalina E.C. Goanta, Daniel Martin Katz, and Anders Søgaard.*
 *LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development.*
-*2022. In the Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada.*](https://arxiv.org/abs/2305.07507)
+*2022. In the Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Toronto, Canada.*](https://arxiv.org/abs/2305.07507)
 ```
 @inproceedings{chalkidis-garneau-etal-2023-lexlms,
     title = {{LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development}},
@@ -42,8 +45,8 @@ LexLM (Base/Large) are our newly released RoBERTa models. We follow a series of
               Goanta, Catalina and 
               Katz, Daniel Martin and 
               Søgaard, Anders",
-    booktitle = "Proceedings of the 61h Annual Meeting of the Association for Computational Linguistics",
-    month = june,
+    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics",
+    month = july,
     year = "2023",
     address = "Toronto, Canada",
     publisher = "Association for Computational Linguistics",