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license: apache-2.0
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license: apache-2.0
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<p align="center">
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<img src="https://raw.githubusercontent.com/PandaVT/DataTager/main/assert/datatager_logo_right.png" width="650" style="margin-bottom: 0.2;"/>
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<p>
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<h5 align="center"> If you like our project, please give us a star ⭐ </h2>
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<h4 align="center"> [<a href="https://github.com/PandaVT/DataTager">GitHub</a> | <a href="https://datatager.com/">DataTager Home</a>]
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# Legal Split Cases Dataset
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## Description
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AnyTaskTune is a publication by the DataTager team. We advocate for rapid training of large models suitable for specific business scenarios through task-specific fine-tuning. We have open-sourced several datasets across various domains such as legal, medical, education, and HR, and this dataset is one of them.
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The Legal Split dataset is a collection organized by DataTager to enhance the efficiency of analyzing complex cases. This dataset breaks down complex cases into several relatively independent sub-cases, each focusing on specific legal issues or disputes. This approach helps to precisely identify and analyze the specific legal issues in each sub-case, thereby improving the efficiency of legal practitioners in handling cases.
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## Usage
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This dataset is an important resource for developing legal AI tools, which can enhance the efficiency of handling complex cases involving multiple legal issues in legal consultations. AI systems can use this dataset to help lawyers and judges thoroughly sort out the legal issues, relevant evidence, and other key information involved in different sub-cases, enabling legal practitioners to make more informed decisions quickly. It can also be used for educational purposes, training law students and junior lawyers to identify and handle the intertwined sub-cases in complex cases, enhancing their case analysis and legal research capabilities.
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## Citation
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Please cite this dataset in your work as follows:
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```
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@misc{ Extract Medical Information Dataset,
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author = {DataTager},
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title = {Extract Medical Information Dataset},
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year = {2024},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {https://github.com/PandaVT/DataTager}
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}
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```
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