five

Leveraging LLMs for Curating High-Quality~Bug~Report Datasets

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DataCite Commons2025-06-01 更新2025-09-08 收录
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https://figshare.com/articles/dataset/Leveraging_LLMs_for_Curating_High-Quality_Bug_Report_Datasets/29198486/1
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资源简介:
This repository contains (1) a manually labeled set of 2,000 bug reports and (2) five curated subsets from <b>QualDataBug</b> (SS1–SS5), selected using combinations of LLM classifications to reduce noise. The original BugHub dataset had ~40% noise, while the curated subsets have significantly lower noise levels: SS1 (9.58%), SS2 (16.25%), SS3 (19.29%), SS4 (21.59%), and SS5 (27.25%).
提供机构:
figshare
创建时间:
2025-05-30
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