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@@ -89,11 +89,14 @@ test = Dataset.to_pandas(load_dataset('ACCORD-NLP/CODE-ACCORD-Relations', split=
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  More details about data annotation, statistics, and distribution are available in the following paper.
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  ```
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- @article{hettiarachchi2024code,
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- title={{CODE-ACCORD}: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking},
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  author={Hettiarachchi, Hansi and Dridi, Amna and Gaber, Mohamed Medhat and Parsafard, Pouyan and Bocaneala, Nicoleta and Breitenfelder, Katja and Costa, Gon{\c{c}}al and Hedblom, Maria and Juganaru-Mathieu, Mihaela and Mecharnia, Thamer and Park, Sumee and Tan, He and Tawil, Abdel-Rahman H. and Vakaj, Edlira},
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- journal={arXiv preprint arXiv:2403.02231},
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- year={2024},
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- url={https://arxiv.org/abs/2403.02231}
 
 
 
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  }
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  ```
 
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  More details about data annotation, statistics, and distribution are available in the following paper.
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  ```
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+ @article{hettiarachchi-etal-2025-code,
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+ title={{CODE-ACCORD}: A Corpus of building regulatory data for rule generation towards automatic compliance checking},
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  author={Hettiarachchi, Hansi and Dridi, Amna and Gaber, Mohamed Medhat and Parsafard, Pouyan and Bocaneala, Nicoleta and Breitenfelder, Katja and Costa, Gon{\c{c}}al and Hedblom, Maria and Juganaru-Mathieu, Mihaela and Mecharnia, Thamer and Park, Sumee and Tan, He and Tawil, Abdel-Rahman H. and Vakaj, Edlira},
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+ journal={Scientific Data},
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+ volume={12},
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+ number={1},
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+ pages={170},
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+ year={2025},
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+ publisher={Nature Publishing Group UK London}
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  }
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  ```