{
 "id": "SEACrowd/indo4b",
 "owner": "SEACrowd",
 "name": "indo4b",
 "downloads": 67,
 "likes": 4,
 "last_modified": "2024-06-24T13:32:26.000Z",
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 "stated_from": "none",
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 "sources": [],
 "gated": false,
 "tasks": [
  "self-supervised-pretraining"
 ],
 "citation": "@inproceedings{wilie-etal-2020-indonlu,\n        title = \"{I}ndo{NLU}: Benchmark and Resources for Evaluating {I}ndonesian \n            Natural Language Understanding\",\n        author = \"Wilie, Bryan  and\n          Vincentio, Karissa  and\n          Winata, Genta Indra  and\n          Cahyawijaya, Samuel  and\n          Li, Xiaohong  and\n          Lim, Zhi Yuan  and\n          Soleman, Sidik  and\n          Mahendra, Rahmad  and\n          Fung, Pascale  and\n          Bahar, Syafri  and\n          Purwarianti, Ayu\",\n        booktitle = \"Proceedings of the 1st Conference of the Asia-Pacific Chapter of the \n                Association for Computational Linguistics and the 10th International Joint \n                Conference on Natural Language Processing\",\n        month = dec,\n        year = \"2020\",\n        address = \"Suzhou, China\",\n        publisher = \"Association for Computational Linguistics\",\n        url = \"https://aclanthology.org/2020.aacl-main.85\",\n        pages = \"843--857\",\n        abstract = \"Although Indonesian is known to be the fourth most frequently used language \n            over the internet, the research progress on this language in natural language processing (NLP) \n            is slow-moving due to a lack of available resources. In response, we introduce the first-ever vast \n            resource for training, evaluation, and benchmarking on Indonesian natural language understanding \n            (IndoNLU) tasks. IndoNLU includes twelve tasks, ranging from single sent",
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 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "37f7b25ad5f27827f7da3bbd974cdf462e0179e8",
 "stated_evidence": "https://huggingface.co/datasets/SEACrowd/indo4b/blob/37f7b25ad5f27827f7da3bbd974cdf462e0179e8/README.md",
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}