CIIRC-NLP/czech-subjectivity-en
收藏资源简介：
--- dataset_info: features: - name: text dtype: string - name: label dtype: int64 - name: label_text dtype: string splits: - name: train num_bytes: 1081305 num_examples: 7443 - name: validation num_bytes: 72570 num_examples: 500 - name: test num_bytes: 288457 num_examples: 2000 download_size: 862284 dataset_size: 1442332 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* task_categories: - text-classification language: - en pretty_name: Czech Subjectivity Dataset - English translation license: cc-by-nc-sa-4.0 size_categories: - 1K<n<10K --- # Czech Subjectivity Dataset - English translation This is an English translation of the original [Subj-CS](https://huggingface.co/datasets/pauli31/czech-subjectivity-dataset) dataset, created using the [WMT 21 X-En](https://huggingface.co/facebook/wmt21-dense-24-wide-x-en) model. The translation was completed for use within the [Czech-Bench](https://gitlab.com/jirkoada/czech-bench) evaluation framework. The script used for translation can be reviewed [here](https://gitlab.com/jirkoada/czech-bench/-/blob/main/benchmarks/dataset_translation.py?ref_type=heads). ## Citation Original dataset: ```bibtex @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} } ``` English translation: ```bibtex @masterthesis{jirkovsky-thesis, author = {Jirkovský, Adam}, title = {Benchmarking Techniques for Evaluation of Large Language Models}, school = {Czech Technical University in Prague, Faculty of Electrical Engineering}, year = 2024, URL = {https://dspace.cvut.cz/handle/10467/115227} } ```
数据集概述
数据集名称
Czech Subjectivity Dataset - English translation
数据集特征
- text：字符串类型
- label：整数类型（int64）
- label_text：字符串类型
数据集划分
- 训练集：7443个样本，1081305字节
- 验证集：500个样本，72570字节
- 测试集：2000个样本，288457字节
数据集大小
- 下载大小：862284字节
- 数据集总大小：1442332字节
配置
- 默认配置：包含训练、验证和测试数据文件的路径
任务类别
- 文本分类
语言
- 英语
许可证
- cc-by-nc-sa-4.0
大小类别
- 1K<n<10K
