metadata
license: mit
language:
- zh
task_categories:
- text-classification
- question-answering
- summarization
tags:
- caexpo
- china-asean
- news
pretty_name: CAEXPO News Dataset
size_categories:
- 1K<n<10K
CAEXPO News Dataset
Dataset Description
The CAEXPO (China-ASEAN Expo) News Dataset is a comprehensive collection of news articles from the offical China-ASEAN Expo website. The dataset covers various aspects including:
- Trade and economic cooperation
- Cultural exchanges
- Regional development
- Policy announcements
- Innovation and technology cooperation
- ......
Data Fields
title
: The headline of the news articleurl
: URL link to the original news articlepublishTime
: Publication timestamp of the articledescription
: Brief summary of the article(may be empty)sourceNew
: Source of the news article(may be empty)markdown
: Full content of the article in markdown format(Converted from HTML to Markdown by the deepseek-chat model.)
Dataset Structure
Data Instances
Example of a typical data instance:
{
"title": "中国—东盟青年领军者成长计划大咖沙龙——与专家面对面活动成功举办",
"url": "https://www.caexpo.org.cn/zh-CN/posts/831448314061901824",
"publishTime": "2024-12-12T08:34:19",
"description": "2024年12月11日,中国—东盟青年领军者成长计划大咖沙龙——与专家面对面活动在线上举办。",
"sourceNew": "中国—东盟博览会官方微信公众号",
"markdown": "2024年12月11日,中国—东盟青年领军者成长计划大咖沙龙——与专家面对面活动在线上举办..."
}
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("GXMZU/caexpo_news")
# Print the first example
print("Example news item:")
print(f"Title: {dataset['train'][0]['title']}")
Limitations
- The primary language of the dataset is Chinese
- Some articles may have empty description or source fields
License
This dataset is licensed under MIT.
Citation
If you use this dataset in your research, please cite:
@misc{caexpo_news_dataset,
title={CAEXPO News Dataset},
author={real-jiakai},
year={2025},
url={https://huggingface.co/datasets/GXMZU/caexpo_news/}
}