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pauli31/czech-subjectivity-dataset

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Hugging Face2024-01-05 更新2024-03-04 收录
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资源简介:
--- annotations_creators: [] language_creators: [] language: - cs license: - cc-by-nc-sa-4.0 multilinguality: - monolingual pretty_name: Czech Subjectivity Dataset size_categories: - 1K<n<10K source_datasets: - original task_categories: - text-classification task_ids: - sentiment-classification --- # Dataset Card for Czech Subjectivity Dataset ### Dataset Summary Czech subjectivity dataset (Subj-CS) of 10k manually annotated subjective and objective sentences from movie reviews and descriptions. See the paper description https://arxiv.org/abs/2204.13915 ### Github https://github.com/pauli31/czech-subjectivity-dataset ### Supported Tasks and Leaderboards Subjectivity Analysis ### Languages Czech ### Data Instances train/dev/test ### Licensing Information [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.](https://creativecommons.org/licenses/by-nc-sa/4.0/) ### Citation Information If you use our dataset or software for academic research, please cite the our [paper](https://arxiv.org/abs/2204.13915) ``` @article{pib2022czech, title={Czech Dataset for Cross-lingual Subjectivity Classification}, author={Pavel Přibáň and Josef Steinberger}, year={2022}, eprint={2204.13915}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` ### Contact pribanp@kiv.zcu.cz ### Contributions Thanks to [@pauli31](https://github.com/pauli31) for adding this dataset.
提供机构:
pauli31
原始信息汇总

Czech Subjectivity Dataset 概述

数据集基本信息

  • 名称: Czech Subjectivity Dataset
  • 语言: 捷克语 (cs)
  • 许可证: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
  • 多语言性: 单语种
  • 大小: 1K<n<10K
  • 来源: 原始数据

数据集详情

  • 描述: 包含10,000个手动标注的主观和客观句子,来自电影评论和描述。
  • 任务类型: 文本分类
  • 具体任务: 情感分类
  • 数据集划分: 训练/开发/测试

引用信息

若在学术研究中使用此数据集,请引用以下文献:

@article{pib2022czech, title={Czech Dataset for Cross-lingual Subjectivity Classification}, author={Pavel Přibáň and Josef Steinberger}, year={2022}, eprint={2204.13915}, archivePrefix={arXiv}, primaryClass={cs.CL} }

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