Update README.md

README.md

@@ -11,12 +11,39 @@ license: gpl-3.0
 
 ### Dataset Summary
 
-**Documents**
-
-USClassActions is an English dataset of 3K US Federal Court cases annotated with the respective binarized judgment outcome (Win/Lose), posing a challenging text classification task. We are happy to share this dataset in order to promote robustness and fairness studies on the critical area of legal NLP.
+USClassActions is an English dataset of 3K complaints from the US Federal Court with the respective binarized judgment outcome (Win/Lose). The dataset poses a challenging text classification task. We are happy to share this dataset in order to promote robustness and fairness studies on the critical area of legal NLP.USClassActions is an English dataset of 3K US Federal Court complaints annotated with the respective binarized judgment outcome (Win/Lose), posing a challenging text classification task. We are happy to share this dataset in order to promote robustness and fairness studies on the critical area of legal NLP.
 
 ### Data Instances
 ```python
 from datasets import load_dataset
-dataset = load_dataset('darrow-ai/USClassActions',split='train')
+dataset = load_dataset('darrow-ai/USClassActions')
+```
+### Data Fields
+`id`: (**int**) a unique identifier of the document \
+`target_text`: (**str**) the complaint text \
+`verdict`: (**str**) the outcome of the case \
+`target_text`: (**str**) the facts of the case \
+
+### Curation Rationale
+
+The dataset was curated by Darrow.ai (2022).
+
+### Citation Information
+
+*Gil Semo, Dor Bernsohn, Ben Hagag, Gila Hayat, and Joel Niklaus*
+*ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US*
+*Proceedings of the 2022 Natural Legal Language Processing Workshop. Abu Dhabi. 2022*
+```
+@InProceedings{darrow-niklaus-2022-uscp,
+ author = {Semo, Gil
+ and Bernsohn, Dor
+ and Stürmer, Matthias
+ and Hagag, Ben
+ and Hayat, Gila
+ and Niklaus, Joel},
+ title = {ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US},
+ booktitle = {Proceedings of the 2022 Natural Legal Language Processing Workshop},
+ year = {2022},
+ location = {Abu Dhabi},
+}
 ```