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README.md

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+---
+license: cc-by-4.0
+tags:
+- dependency-parsing
+language:
+- ind
+---
+
+# indolem_ud_id_pud
+
+1 of 8 sub-datasets of IndoLEM, a comprehensive dataset encompassing 7 NLP tasks (Koto et al., 2020).
+
+This dataset is part of [Parallel Universal Dependencies (PUD)](http://universaldependencies.org/conll17/) project.
+
+This is based on the first corrected version by Alfina et al. (2019), contains 1,000 sentences.
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```
+@conference{2f8c7438a7f44f6b85b773586cff54e8,
+    title = "A gold standard dependency treebank for Indonesian",
+    author = "Ika Alfina and Arawinda Dinakaramani and Fanany, {Mohamad Ivan} and Heru Suhartanto",
+    note = "Publisher Copyright: {	extcopyright} 2019 Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019. All rights reserved.; 33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019 ; Conference date: 13-09-2019 Through 15-09-2019",
+    year = "2019",
+    month = jan,
+    day = "1",
+    language = "English",
+    pages = "1--9",
+}
+
+@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)