---
license: mit
tags:
- named-entity-recognition
language:
- ind
---

# indonlu_nergrit

This NER dataset is taken from the Grit-ID repository, and the labels are spans in IOB chunking representation.

The dataset consists of three kinds of named entity tags, PERSON (name of person), PLACE (name of location), and

ORGANIZATION (name of organization).

## Dataset Usage

Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.

## Citation

```
@inproceedings{wilie2020indonlu,
  title={IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},
  author={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},
  booktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},
  year={2020}
}
@online{nergrit2019,
  title={NERGrit Corpus},
  author={NERGrit Developers},
  year={2019},
  url={https://github.com/grit-id/nergrit-corpus}
}
```

## License

MIT

## Homepage

[https://github.com/grit-id/nergrit-corpus](https://github.com/grit-id/nergrit-corpus)

### NusaCatalogue

For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)