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README.md

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+---
+tags:
+- keyword-extraction
+language:
+- ind
+---
+
+The KEPS dataset (Mahfuzh, Soleman and Purwarianti, 2019) consists of text from Twitter
+discussing banking products and services and is written in the Indonesian language. A phrase
+containing important information is considered a keyphrase. Text may contain one or more
+keyphrases since important phrases can be located at different positions.
+- tokens: a list of string features.
+- seq_label: a list of classification labels, with possible values including O, B, I.
+The labels use Inside-Outside-Beginning (IOB) tagging.
+
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```@inproceedings{mahfuzh2019improving,
+  title={Improving Joint Layer RNN based Keyphrase Extraction by Using Syntactical Features},
+  author={Miftahul Mahfuzh, Sidik Soleman, and Ayu Purwarianti},
+  booktitle={Proceedings of the 2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA)},
+  pages={1--6},
+  year={2019},
+  organization={IEEE}
+}
+```
+
+## License
+
+Creative Common Attribution Share-Alike 4.0 International
+
+## Homepage
+
+### NusaCatalogue
+
+For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)