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README.md

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+---
+license: unknown
+tags:
+- emotion-classification
+language:
+- ind
+---
+
+# jadi_ide
+
+The JaDi-Ide dataset is a Twitter dataset for Javanese dialect identification, containing 16,498 
+
+data samples. The dialect is classified into `Standard Javanese`, `Ngapak Javanese`, and `East 
+
+Javanese` dialects.
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```
+@article{hidayatullah2020attention,
+  title={Attention-based cnn-bilstm for dialect identification on javanese text},
+  author={Hidayatullah, Ahmad Fathan and Cahyaningtyas, Siwi and Pamungkas, Rheza Daffa},
+  journal={Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control},
+  pages={317--324},
+  year={2020}
+}
+```
+
+## License
+
+Unknown
+
+## Homepage
+
+[https://github.com/fathanick/Javanese-Dialect-Identification-from-Twitter-Data](https://github.com/fathanick/Javanese-Dialect-Identification-from-Twitter-Data)
+
+### NusaCatalogue
+
+For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)