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  - **Repository:** https://github.com/darrow-labs/ClassActionPrediction
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  - **Paper:** https://arxiv.org/abs/2211.00582
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  - **Leaderboard:** N/A
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- - **Point of Contact:** [Gila Hayat](mailto:gila@darrow.ai)
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  ### Dataset Summary
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  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.
 
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  - **Repository:** https://github.com/darrow-labs/ClassActionPrediction
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  - **Paper:** https://arxiv.org/abs/2211.00582
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  - **Leaderboard:** N/A
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+ - **Point of Contact:** [Gila Hayat](mailto:gila@darrow.ai),[Gil Semo](mailto:gil.semo@darrow.ai)
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+ #### More Details & Collaborations
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+ Feel free to contact us in order to get a larger dataset.
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+ We would be happy to collaborate on future works.
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  ### Dataset Summary
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  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.