update license

README.md

@@ -1,5 +1,5 @@
 ---
-license: cc-by-nc-sa-4.0
+license: cc-by-sa-4.0
 task_categories:
 - summarization
 language:
@@ -41,10 +41,10 @@ The dataset is made of 144 debates, 115 of the debates make up the train set, wh
 
 # Licensing Information
 
-non-commercial licence: CC BY-NC-ND 4.0
+non-commercial licence: CC BY-SA 4.0
 
 # Citation Information
 
 If you use this dataset, please cite the following article:
 
-    Virgile Rennard, Guokan Shang, Damien Grari, Julie Hunter, and Michalis Vazirgiannis. 2023. FREDSum: A Dialogue Summarization Corpus for French Political Debates. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 4241–4253, Singapore. Association for Computational Linguistics.
+    Virgile Rennard, Guokan Shang, Damien Grari, Julie Hunter, and Michalis Vazirgiannis. 2023. FREDSum: A Dialogue Summarization Corpus for French Political Debates. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 4241–4253, Singapore. Association for Computational Linguistics.