language:ind license:cc-by-4.0 dependency-parsing arxiv:2011.00677 region:us
The Indonesian-GSD treebank consists of 5598 sentences and 122k words split into train/dev/test of 97k/12k/11k words.
The treebank was originally converted from the content head version of the universal dependency treebank v2.0 (legacy) in 2015.In order to comply with the latest Indonesian annotation guidelines, the treebank has undergone a major revision between UD releases v2.8 and v2.9 (2021).
@inproceedings{mcdonald-etal-2013-universal,
    title = "{U}niversal {D}ependency Annotation for Multilingual Parsing",
    author = {McDonald, Ryan  and
      Nivre, Joakim  and
      Quirmbach-Brundage, Yvonne  and
      Goldberg, Yoav  and
      Das, Dipanjan  and
      Ganchev, Kuzman  and
      Hall, Keith  and
      Petrov, Slav  and
      Zhang, Hao  and
      T{\"a}ckstr{\"o}m, Oscar  and
      Bedini, Claudia  and
      Bertomeu Castell{\'o}, N{\'u}ria  and
      Lee, Jungmee},
    booktitle = "Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = aug,
    year = "2013",
    address = "Sofia, Bulgaria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P13-2017",
    pages = "92--97",
}

@article{DBLP:journals/corr/abs-2011-00677,
    author    = {Fajri Koto and
                 Afshin Rahimi and
                 Jey Han Lau and
                 Timothy Baldwin},
    title     = {IndoLEM and IndoBERT: {A} Benchmark Dataset and Pre-trained Language
                 Model for Indonesian {NLP}},
    journal   = {CoRR},
    volume    = {abs/2011.00677},
    year      = {2020},
    url       = {https://arxiv.org/abs/2011.00677},
    eprinttype = {arXiv},
    eprint    = {2011.00677},
    timestamp = {Fri, 06 Nov 2020 15:32:47 +0100},
    biburl    = {https://dblp.org/rec/journals/corr/abs-2011-00677.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}
---
license: cc-by-4.0
tags:
- dependency-parsing
language:
- ind
---

# indolem_ud_id_gsd

The Indonesian-GSD treebank consists of 5598 sentences and 122k words split into train/dev/test of 97k/12k/11k words.

The treebank was originally converted from the content head version of the universal dependency treebank v2.0 (legacy) in 2015.In order to comply with the latest Indonesian annotation guidelines, the treebank has undergone a major revision between UD releases v2.8 and v2.9 (2021).

## Dataset Usage

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

## Citation

```
@inproceedings{mcdonald-etal-2013-universal,
    title = "{U}niversal {D}ependency Annotation for Multilingual Parsing",
    author = {McDonald, Ryan  and
      Nivre, Joakim  and
      Quirmbach-Brundage, Yvonne  and
      Goldberg, Yoav  and
      Das, Dipanjan  and
      Ganchev, Kuzman  and
      Hall, Keith  and
      Petrov, Slav  and
      Zhang, Hao  and
      T{"a}ckstr{"o}m, Oscar  and
      Bedini, Claudia  and
      Bertomeu Castell{'o}, N{'u}ria  and
      Lee, Jungmee},
    booktitle = "Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = aug,
    year = "2013",
    address = "Sofia, Bulgaria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P13-2017",
    pages = "92--97",
}

@article{DBLP:journals/corr/abs-2011-00677,
    author    = {Fajri Koto and
                 Afshin Rahimi and
                 Jey Han Lau and
                 Timothy Baldwin},
    title     = {IndoLEM and IndoBERT: {A} Benchmark Dataset and Pre-trained Language
                 Model for Indonesian {NLP}},
    journal   = {CoRR},
    volume    = {abs/2011.00677},
    year      = {2020},
    url       = {https://arxiv.org/abs/2011.00677},
    eprinttype = {arXiv},
    eprint    = {2011.00677},
    timestamp = {Fri, 06 Nov 2020 15:32:47 +0100},
    biburl    = {https://dblp.org/rec/journals/corr/abs-2011-00677.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}
```

## License

Creative Commons Attribution 4.0

## Homepage

[https://indolem.github.io/](https://indolem.github.io/)

### NusaCatalogue

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