language:ind license:unknown emotion-classification region:us
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.
@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
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)