Update README.md

README.md

@@ -8,7 +8,7 @@ language:
 language_creators:
 - expert-generated
 license:
-- cc-by-nc-sa-4.0
+- cc-by-sa-4.0
 multilinguality:
 - multilingual
 pretty_name: 'Swiss Doc2doc Information Retrieval'
@@ -63,7 +63,7 @@ https://huggingface.co/spaces/huggingface/datasets-tagging
 
 ### Dataset Summary
 
-Swiss_doc2doc_ir is a multilingual, diachronic dataset of 131K Swiss Federal Supreme Court (FSCS) cases annotated with law citations and ruling citations, posing a challenging text classification task. As unique label we are using decision_id of cited rulings and uuid of cited law articles, which can be found in the SwissCourtRulingCorpus. We also provide additional metadata, i.e., the publication year, the legal area and the canton of origin per case, to promote robustness and fairness studies on the critical area of legal NLP.
+Swiss Doc2doc Information Retrieval is a multilingual, diachronic dataset of 131K Swiss Federal Supreme Court (FSCS) cases annotated with law citations and ruling citations, posing a challenging text classification task. As unique label we are using decision_id of cited rulings and uuid of cited law articles, which can be found in the SwissCourtRulingCorpus. We also provide additional metadata, i.e., the publication year, the legal area and the canton of origin per case, to promote robustness and fairness studies on the critical area of legal NLP.
 
 ### Supported Tasks and Leaderboards