{
 "id": "RussianNLP/rucola",
 "owner": "RussianNLP",
 "name": "rucola",
 "downloads": 436,
 "likes": 6,
 "last_modified": "2024-07-15T09:58:56.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "```\n@inproceedings{mikhailov-etal-2022-rucola,\n    title = \"{R}u{C}o{LA}: {R}ussian Corpus of Linguistic Acceptability\",\n    author = \"Mikhailov, Vladislav  and\n      Shamardina, Tatiana  and\n      Ryabinin, Max  and\n      Pestova, Alena  and\n      Smurov, Ivan  and\n      Artemova, Ekaterina\",\n    booktitle = \"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing\",\n    month = dec,\n    year = \"2022\",\n    address = \"Abu Dhabi, United Arab Emirates\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2022.emnlp-main.348\",\n    pages = \"5207--5227\",\n    abstract = \"Linguistic acceptability (LA) attracts the attention of the research community due to its many uses, such as testing the grammatical knowledge of language models and filtering implausible texts with acceptability classifiers.However, the application scope of LA in languages other than English is limited due to the lack of high-quality resources.To this end, we introduce the Russian Corpus of Linguistic Acceptability (RuCoLA), built from the ground up under the well-established binary LA approach. RuCoLA consists of 9.8k in-domain sentences from linguistic publications and 3.6k out-of-domain sentences produced by generative models. The out-of-domain set is created to facilitate the practical use of acceptability for improving language generation.Our paper describes the data collection protocol and presents a fine-grained analysis of acceptabi",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "00e61d446ceb0daff4ac584798221bd0c7aa90c4",
 "stated_evidence": "https://huggingface.co/datasets/RussianNLP/rucola/blob/00e61d446ceb0daff4ac584798221bd0c7aa90c4/README.md",
 "file_evidence": "https://huggingface.co/datasets/RussianNLP/rucola/tree/00e61d446ceb0daff4ac584798221bd0c7aa90c4",
 "card_nc": false
}