Duplicate from darrow-ai/USClassActions

Co-authored-by: Gila <agila@users.noreply.huggingface.co>

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README.md

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+---
+license: gpl-3.0
+task_categories:
+- text-classification
+- zero-shot-classification
+language:
+- en
+tags:
+- legal
+- legalnlp
+- class action
+- darrow
+---
+## Dataset Description
+
+- **Homepage:** https://www.darrow.ai/
+- **Repository:** https://github.com/darrow-labs/ClassActionPrediction
+- **Paper:** https://arxiv.org/abs/2211.00582
+- **Leaderboard:** N/A
+- **Point of Contact:** [Gila Hayat](mailto:gila@darrow.ai),[Gil Semo](mailto:gil.semo@darrow.ai)
+
+#### More Details & Collaborations
+Feel free to contact us in order to get a larger dataset.
+We would be happy to collaborate on future works.
+### Dataset Summary
+
+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. The data was annotated using Darrow.ai proprietary tool.
+
+
+### Data Instances
+```python
+from datasets import load_dataset
+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 \
+
+### 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,
+  author = {Semo, Gil
+                and Bernsohn, Dor
+                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, EMNLP2022},
+}
+```

us_classactions_verdicts.csv

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