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AMSunda:为苏丹语信息检索提供了一个新的数据集
Aries Maesya1, Yulyani Arifin1, Amalia Zahra1
1Computer Science Department, BINUS Graduate Program-Doctor of Computer Science Program, Bina Nusantara University, Jakarta 11480, Indonesia.
Data in brief
|July 17, 2025
概括
一个新的苏丹语数据集,AMSunda,解决了信息检索 (IR) 的有限数据. 此资源有助于开发以苏丹语为重点的嵌入模型,以提高搜索引擎性能.
科学领域:
- 自然语言处理自然语言处理.
- 信息科学 信息科学 信息科学
- 计算语言学 计算语言学
背景情况:
- 信息检索 (IR) 对搜索引擎和数据库至关重要.
- 来自印度尼西亚的苏丹语语文库缺乏足够的数据来完成IR任务.
- 现有的Sundanese数据集主要支持文本分类和生成,而不是IR.
研究的目的:
- 介绍AMSunda,这是第一个专门用于Sundanese信息检索的数据集.
- 促进对Sundanese语言的嵌入模型的微调和评估.
- 弥补Sundanese NLP研究的资源差距.
主要方法:
- 使用GPT-4o-mini LLM开发了AMSunda数据集.
- 创建了1499个文档,产生了7492个三重通道用于模型微调.
- 生成了7491个与BEIR兼容的查询,用于评估检索性能.
主要成果:
- AMSunda提供三重数据,用于嵌入模型微调.
- AMSunda提供与BEIR兼容的数据,以进行可靠的检索任务评估.
- 数据集包括1499份文件,7492份三重文件和7491份查询.
结论:
- AMSunda是推动Sundanese信息检索的基础资源.
- 该数据集可以开发专业的苏丹语嵌入模型.
- 这项工作支持对Sundanese语言进行改进的NLP应用程序.
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