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README.md

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+---
+license: cc-by-4.0
+tags:
+- named-entity-recognition
+language:
+- ind
+---
+
+# indolem_nerui
+
+NER UI is a Named Entity Recognition dataset that contains 2,125 sentences obtained via an annotation assignment in an NLP course at the University of Indonesia in 2016.
+
+The corpus has three named entity classes: location, organisation, and person with training/dev/test distribution: 1,530/170/42 and based on 5-fold cross validation.
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```
+@INPROCEEDINGS{8275098,
+  author={Gultom, Yohanes and Wibowo, Wahyu Catur},
+  booktitle={2017 International Workshop on Big Data and Information Security (IWBIS)},
+  title={Automatic open domain information extraction from Indonesian text},
+  year={2017},
+  volume={},
+  number={},
+  pages={23-30},
+  doi={10.1109/IWBIS.2017.8275098}}
+
+@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)