{
 "id": "SEACrowd/indo4b_plus",
 "owner": "SEACrowd",
 "name": "indo4b_plus",
 "downloads": 50,
 "likes": 1,
 "last_modified": "2024-06-24T13:23:22.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "self-supervised-pretraining"
 ],
 "citation": "@inproceedings{cahyawijaya-etal-2021-indonlg,\n        title = \"{I}ndo{NLG}: Benchmark and Resources for Evaluating {I}ndonesian Natural Language Generation\",\n        author = \"Cahyawijaya, Samuel  and\n          Winata, Genta Indra  and\n          Wilie, Bryan  and\n          Vincentio, Karissa  and\n          Li, Xiaohong  and\n          Kuncoro, Adhiguna  and\n          Ruder, Sebastian  and\n          Lim, Zhi Yuan  and\n          Bahar, Syafri  and\n          Khodra, Masayu  and\n          Purwarianti, Ayu  and\n          Fung, Pascale\",\n        booktitle = \"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing\",\n        month = nov,\n        year = \"2021\",\n        address = \"Online and Punta Cana, Dominican Republic\",\n        publisher = \"Association for Computational Linguistics\",\n        url = \"https://aclanthology.org/2021.emnlp-main.699\",\n        doi = \"10.18653/v1/2021.emnlp-main.699\",\n        pages = \"8875--8898\",\n        abstract = \"Natural language generation (NLG) benchmarks provide an important avenue to measure progress \n        and develop better NLG systems. Unfortunately, the lack of publicly available NLG benchmarks for low-resource \n        languages poses a challenging barrier for building NLG systems that work well for languages with limited \n        amounts of data. Here we introduce IndoNLG, the first benchmark to measure natural language generation (NLG)\n        progress in three low-resource{---}yet widely spoken{---}languages o",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "d917635d697c00154922fd6fe0187dac1eefa4b0",
 "stated_evidence": "https://huggingface.co/datasets/SEACrowd/indo4b_plus/blob/d917635d697c00154922fd6fe0187dac1eefa4b0/README.md",
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 "card_nc": false
}