Commit-Level Dataset on Organizational Participation in 975 Open Source Software Projects

This dataset provides a commit-level view of organizational participation in 975 popular Python open-source software (OSS) projects, constructed for research on OSS governance, contribution dynamics, and leadership patterns. Projects were drawn from two Software Heritage snapshots (2019 and 2024). From 3,495 candidates, 975 GitHub-hosted repositories were successfully mined using PyDriller. Contributor emails were processed to extract registered domains, filter out generic providers and bots, and map domains to canonical organization names, retaining only firm-likely and academic-likely commits. The dataset contains 1,924,792 commit records attributed to 10,054 unique organizations. Fields include: Project, Contributor Email, Commit Date, Insertions, Deletions, Files Changed, Email Domain, Organization, and Label. Released to support reproducibility and further research on OSS governance. Source: Software Heritage (2019 & 2024). Tool: PyDriller. Format: CSV (UTF-8).本数据集提供了975个热门Python开源软件（OSS，Open-Source Software）项目的提交级组织参与视角，专为开源治理、贡献动态及领导模式的相关研究构建。 项目源自两份Software Heritage快照（2019年与2024年）。研究人员从3495个候选仓库中，通过PyDriller成功挖掘出975个托管于GitHub的代码仓库。随后对贡献者邮箱进行处理：提取注册域名、过滤通用服务提供商与机器人账号，并将域名映射至规范组织名称，仅保留疑似企业与学术机构的提交记录。 本数据集包含1924792条提交记录，归属于10054个独立组织。字段包括：项目名称、贡献者邮箱、提交日期、新增代码行数、删除代码行数、变更文件数、邮箱域名、所属组织及标签。 本数据集发布旨在支撑开源治理领域的可复现研究与后续拓展研究。 数据来源：Software Heritage（2019年与2024年）。工具：PyDriller。格式：CSV（UTF-8）。