孟加拉健康:孟加拉语对健康领域的一组数据集
Faisal Ibn Aziz1, Muhammad Nazrul Islam1
1Department of Computer Science and Engineering, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka 1216, Bangladesh.
Data in brief
|June 16, 2025
概括
这项研究引入了新的孟加拉语健康转述数据集,对于在专业领域推进自然语言处理 (NLP) 和语言模型至关重要.
科学领域:
- 自然语言处理 (NLP) 是一种自然语言处理.
- 计算语言学 计算语言学
- 医疗信息学 医疗信息学
背景情况:
- 孟加拉语数据集的有限可用性阻碍了NLP研究,特别是在健康等专业领域.
- 重述研究需要特定领域的资源,才能有效地开发模型.
研究的目的:
- 为了解决孟加拉语在卫生领域资源的稀缺问题.
- 为了呈现一个新的,大规模的孟加拉语健康转述数据集.
主要方法:
- 来自孟加拉语报纸的健康相关句子.
- 开发了一种独特的方法,包括数据提取,预处理,英语翻译,转述和反向翻译到孟加拉语.
- 在100名参与者中进行了一项用户研究,以评估转述图书馆,选择VamsiT5 Paws.
- 提取并转述了20万个句子.
主要成果:
- 成功创建了一个新的孟加拉语转述数据集,专注于健康领域.
- 确定 VamsiT5 Paws 是一个适合生成翻译的孟加拉语句子的库.
- 创建了一个包含20万个转述句子的数据集.
结论:
- 开发的数据集显著增强了孟加拉语NLP的资源,特别是与健康相关的转述任务.
- 预计这项资源将加速先进语言模型的开发,并提高孟加拉语专业领域的NLP能力.
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