Update README.md

README.md

@@ -52,15 +52,15 @@ This dataset consists of summaries of leading Swiss Supreme Court decisions. The
 
 The dataset can be used for various natural language processing tasks such as multilingual text alignment, machine translation, and legal text analysis.
 
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
+- **Curated by:** Joel Niklaus
+- **Funded by [optional]:** Swiss Federal Supreme Court
+- **Shared by [optional]:** Joel Niklaus
 - **Language(s) (NLP):** German (de), French (fr), Italian (it)
 - **License:** [More Information Needed]
 
 ### Dataset Sources [optional]
 
-- **Repository:** [More Information Needed]
+- **Repository:** https://github.com/JoelNiklaus/SwissLegalTranslations
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
 
@@ -122,9 +122,9 @@ The dataset is structured into three levels:
 from datasets import load_dataset
 
 # Load the datasets for each level
-bge_dataset = load_dataset('swiss_resume_translations.py', name='bge_level', trust_remote_code=True)
-regeste_dataset = load_dataset('swiss_resume_translations.py', name='regeste_level', trust_remote_code=True)
-text_dataset = load_dataset('swiss_resume_translations.py', name='text_level', trust_remote_code=True)
+bge_dataset = load_dataset('joelniklaus/SwissResumeTranslations', name='bge_level', trust_remote_code=True)
+regeste_dataset = load_dataset('joelniklaus/SwissResumeTranslations', name='regeste_level', trust_remote_code=True)
+text_dataset = load_dataset('joelniklaus/SwissResumeTranslations', name='text_level', trust_remote_code=True)
 
 # Print datasets for inspection
 print(bge_dataset, regeste_dataset, text_dataset)
@@ -189,4 +189,4 @@ Joel Niklaus
 
 ## Dataset Card Contact
 
-[Joel Niklaus](mailto:[email protected])
+[Joel Niklaus](mailto:[email protected])