israel/Amharic-News-Text-classification-Dataset

---
license: cc-by-4.0
---

# An Amharic News Text classification Dataset

> In NLP, text classification is one of the primary problems we try to solve and its uses in language analyses are indisputable. The lack of labeled training data made it harder to do these tasks in low resource languages like Amharic. The task of collecting, labeling, annotating, and making valuable this kind of data will encourage junior researchers, schools, and machine learning practitioners to implement existing classification models in their language. In this short paper, we aim to introduce the Amharic text classification dataset that consists of more than 50k news articles that were categorized into 6 classes. This dataset is made available with easy baseline performances to encourage studies and better performance experiments.

```
@misc{https://doi.org/10.48550/arxiv.2103.05639,
doi = {10.48550/ARXIV.2103.05639},

url = {https://arxiv.org/abs/2103.05639},

author = {Azime, Israel Abebe and Mohammed, Nebil},

keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},

title = {An Amharic News Text classification Dataset},

publisher = {arXiv},

year = {2021},

copyright = {arXiv.org perpetual, non-exclusive license}
}
```

原始信息汇总

数据集概述

数据集名称

An Amharic News Text classification Dataset

数据集内容

该数据集包含超过50,000篇新闻文章，这些文章被分类为6个类别。

数据集目的

旨在解决自然语言处理中缺乏标记训练数据的问题，特别是在低资源语言如阿姆哈拉语中。数据集的发布旨在鼓励初级研究人员、学校和机器学习实践者实施现有的分类模型于其语言中。

许可证

数据集采用CC-BY-4.0许可证。

发布年份

2021年