CIIRC-NLP/czech-subjectivity-en

---
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}
}
```

原始信息汇总

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