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README.md

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+---
+license: unknown
+tags:
+- legal-classification
+language:
+- ind
+---
+
+# indo_law
+
+This study presents predictions of first-level judicial decisions by utilizing a collection of Indonesian court decision documents. 
+
+We propose using multi-level learning, namely, CNN+attention, using decision document sections as features to predict the category and the length of punishment in Indonesian courts. 
+
+Our results demonstrate that the decision document sections that strongly affected the accuracy of the prediction model were prosecution history, facts, legal facts, and legal considerations.
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```
+@article{nuranti2022predicting,
+  title={Predicting the Category and the Length of Punishment in Indonesian Courts Based on Previous Court Decision Documents},
+  author={Nuranti, Eka Qadri and Yulianti, Evi and Husin, Husna Sarirah},
+  journal={Computers},
+  volume={11},
+  number={6},
+  pages={88},
+  year={2022},
+  publisher={Multidisciplinary Digital Publishing Institute}
+}
+```
+
+## License
+
+Unknown
+
+
+### NusaCatalogue
+
+For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)