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

Rule-based annotation Indonesian NER Dataset of 48,957 sentences or 1,478,286 tokens.
Annotation conforms the Stanford-NER format (https://stanfordnlp.github.io/CoreNLP/ner.html) for 3 NER tags of Person, Organisation, and Place.
This dataset consists of 41,297, 14,770, and 82,179 tokens of entity (respectively) from over 14, 6, and 5 rules.


## Dataset Usage

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

## Citation

```@INPROCEEDINGS{8355036,
  author={Alfina, Ika and Savitri, Septiviana and Fanany, Mohamad Ivan},
  title={Modified DBpedia entities expansion for tagging automatically NER dataset},
  booktitle={2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS)},
  pages={216-221},
  year={2017},
  url={https://ieeexplore.ieee.org/document/8355036},
  doi={10.1109/ICACSIS.2017.8355036}}

@INPROCEEDINGS{7872784,
  author={Alfina, Ika and Manurung, Ruli and Fanany, Mohamad Ivan},
  booktitle={2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)},
  title={DBpedia entities expansion in automatically building dataset for Indonesian NER},
  year={2016},
  pages={335-340},
  doi={10.1109/ICACSIS.2016.7872784}}
```

## License

You can use this dataset for free. You don't need our permission to use it. Please cite our paper if your work uses our data in your publication.
Please note that you are not allowed to create a copy of this dataset and share it publicly in your own repository without our permission.

## Homepage

### NusaCatalogue

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