All datasets / RussianNLP

RussianNLP/rucola

398 downloads in 30 days6 likesLast modified 15 Jul 2024View on Hugging Face

Permissive or share-alike

The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at 00e61d4
Licence files: No licence file at the top level of the repositoryEvidence: file list at 00e61d4
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

text-classification

Citation text from the card

```
@inproceedings{mikhailov-etal-2022-rucola,
    title = "{R}u{C}o{LA}: {R}ussian Corpus of Linguistic Acceptability",
    author = "Mikhailov, Vladislav  and
      Shamardina, Tatiana  and
      Ryabinin, Max  and
      Pestova, Alena  and
      Smurov, Ivan  and
      Artemova, Ekaterina",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.348",
    pages = "5207--5227",
    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

All datasets marked Permissive or share-alike | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "RussianNLP/rucola" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0