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  # Dataset Card for echr_rational
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  ### Dataset Summary
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  [Deconfounding Legal Judgment Prediction for European Court of Human
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  Rights Cases Towards Better Alignment with Experts](https://arxiv.org/pdf/2210.13836.pdf)
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  ### Languages
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  English
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  # Citation Information
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  @misc{https://doi.org/10.48550/arxiv.2210.13836,
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  doi = {10.48550/ARXIV.2210.13836},
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  url = {https://arxiv.org/abs/2210.13836},
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  author = {Santosh, T. Y. S. S and Xu, Shanshan and Ichim, Oana and Grabmair, Matthias},
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  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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  title = {Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts},
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- publisher = {arXiv},
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- year = {2022},
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  copyright = {Creative Commons Attribution 4.0 International}
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  }
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  # Dataset Card for echr_rational
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  ### Dataset Summary
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  [Deconfounding Legal Judgment Prediction for European Court of Human
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  Rights Cases Towards Better Alignment with Experts](https://arxiv.org/pdf/2210.13836.pdf)
 
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  ### Languages
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  English
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  # Citation Information
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  @misc{https://doi.org/10.48550/arxiv.2210.13836,
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  doi = {10.48550/ARXIV.2210.13836},
 
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  url = {https://arxiv.org/abs/2210.13836},
 
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  author = {Santosh, T. Y. S. S and Xu, Shanshan and Ichim, Oana and Grabmair, Matthias},
 
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  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
 
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  title = {Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts},
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+ publisher = {arXiv},
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+ year = {2022},
 
 
 
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  copyright = {Creative Commons Attribution 4.0 International}
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  }
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