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The IndoNLU benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems for Bahasa Indonesia. It is a joint venture from many Indonesia NLP enthusiasts from different institutions such as Gojek, Institut Teknologi Bandung, HKUST, Universitas Multimedia Nusantara, Prosa.ai, and Universitas Indonesia.
IndoNLU has been accepted by AACL 2020 and you can find the paper here .
IndoNLU downstream tasks covers 12 different tasks divided into four categories: (a) single-sentence classification , (b) single-sentence sequence-tagging , (c) sentence-pair classification , and (d) sentence-pair sequence labeling .