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GitHub Pull Request Quality Dataset

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Zenodo2026-01-15 更新2026-05-26 收录
下载链接:
https://zenodo.org/doi/10.5281/zenodo.18262499
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资源简介:
A dataset of 79,058 merged pull requests from 24 popular open-source GitHub repositories with 142 engineered features for predicting PR review time. Features include code complexity metrics, NLP sentiment analysis (VADER, TextBlob), readability scores (Flesch-Kincaid, Gunning Fog), author experience profiles, and PR quality indicators. Target variables: review_time_hours (regression) review_speed_category (classification: fast/medium/slow) Baseline XGBoost performance: R²=0.38, Accuracy=69% Data collected via GitHub REST API, November-December 2025.
提供机构:
Zenodo
创建时间:
2026-01-15
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