{
 "id": "SEACrowd/bible_jv_id",
 "owner": "SEACrowd",
 "name": "bible_jv_id",
 "downloads": 137,
 "likes": 0,
 "last_modified": "2024-06-24T13:23:36.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "machine-translation"
 ],
 "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 and develop better NLG systems. Unfortunately, the lack of publicly available NLG benchmarks for low-resource languages poses a challenging barrier for building NLG systems that work well for languages with limited amounts of data. Here we introduce IndoNLG, the first benchmark to measure natural language generation (NLG) progress in three low-resource{---}yet widely spoken{---}languages of Indonesia: Indonesian, Javanese, and Sundanese. Altogether, these languages are spoken by more than 100 million native sp",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "b09147d5b48d01733d288b967d10a3b410c41c10",
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 "card_nc": false
}