NLPC-UOM/Sinhala-News-Category-classification

---
annotations_creators: []
language_creators:
- crowdsourced
language:
- si
license:
- mit
multilinguality:
- monolingual
pretty_name: sinhala-news-category-classification
size_categories:
- 1K<n<10K
source_datasets: []
task_categories:
- text-classification
task_ids: []
---

This file contains news texts (sentences) belonging to 5 different news categories (political, business, technology, sports and Entertainment). The original dataset was released by Nisansa de Silva (*Sinhala Text Classification: Observations from the Perspective of a Resource Poor Language, 2015*). The original dataset is processed and cleaned of single word texts, English only sentences etc.

If you use this dataset, please cite {*Nisansa de Silva, Sinhala Text Classification: Observations from the Perspective of a Resource Poor Language, 2015*} and {*Dhananjaya et al. BERTifying Sinhala - A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classification, 2022*}

原始信息汇总

数据集概述

基本信息

• 数据集名称: sinhala-news-category-classification
• 语言: 僧伽罗语
• 许可证: MIT
• 多语言性: 单语种
• 数据规模: 1K<n<10K
• 任务类别: 文本分类

数据内容

• 数据类型: 新闻文本（句子）
• 类别数量: 5个不同的新闻类别（政治、商业、技术、体育和娱乐）
• 原始数据来源: Nisansa de Silva 的《Sinhala Text Classification: Observations from the Perspective of a Resource Poor Language, 2015》
• 数据处理: 原始数据经过处理和清洗，去除了单字文本、仅包含英语的句子等。

引用信息

• 使用该数据集时，请引用以下文献：
  • Nisansa de Silva, 《Sinhala Text Classification: Observations from the Perspective of a Resource Poor Language, 2015》
  • Dhananjaya et al., 《BERTifying Sinhala - A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classification, 2022》