AHD:阿拉伯医疗保健数据集
Nashwan Ahmed Al-Majmar1,2, Hezam Gawbah1,2, Akram Alsubari1
1Department of CS and IT, Faculty of Science, Ibb University, Yemen.
Data in brief
|September 17, 2024
概括
研究人员开发了一个大型的阿拉伯医疗保健数据集 (AHD),包含超过808k个问答. 这一数据集旨在为医疗保健应用推进阿拉伯自然语言处理 (NLP).
科学领域:
- 计算语言学计算语言学
- 自然语言处理 (NLP) 是一种自然语言处理.
- 医疗保健信息学 医疗保健信息学
背景情况:
- 对医疗保健系统的需求不断增长,引发了对聊天机器人等人工智能解决方案的兴趣.
- 由于缺乏专门的数据集,阿拉伯语NLP的重大进展受到阻碍.
- 由于数据稀缺,现有的模型在自然语言分类和生成任务方面面临局限性.
研究的目的:
- 引入一个全面的阿拉伯医疗保健数据集 (AHD),以支持NLP研究.
- 为阿拉伯计算语言学和机器学习模型提供有价值的资源.
- 促进在医疗保健领域的阿拉伯文本分类和生成方面的进步.
主要方法:
- 一个大规模数据集的编译,包括超过808,000个问题和答案对.
- 数据主要来自Altibbi医疗网站.
- 数据集组织在90个不同的医疗类别.
主要成果:
- 创建阿拉伯医疗保健数据集 (AHD),这是NLP任务的重要资源.
- 数据集以原始格式呈现,以最大限度的效用.
- AHD是为研究界公开提供.
结论:
- 预计AHD将大大帮助各种涉及阿拉伯文文本数据的NLP任务.
- 本资源解决了阿拉伯语NLP中大型,域特定数据集的关键需求.
- AHD的可用性将促进阿拉伯医疗保健AI的进一步研究和开发.
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