LGizkde/code_quality

这是一个包含多个字段的数据集，主要用于训练机器学习模型。数据集中的字段包括但不限于文件标识符、目录标识符、路径、内容标识符、检测到的许可证类型、仓库名称、快照ID、修订ID、分支名称、访问日期、修订日期、提交者日期、GitHub ID、星标事件数量、分支事件数量、许可证ID、事件创建时间、创建时间、编程语言、源编码、语言、是否为供应商、是否生成、文件大小、扩展名、内容、质量反馈和质量反馈长度。数据集分为训练集，并提供相应的字节数和示例数。

This dataset contains multiple fields and is primarily used for training machine learning models. The fields include, but are not limited to, file identifier, directory identifier, path, content identifier, detected license types, repository name, snapshot ID, revision ID, branch name, visit date, revision date, committer date, GitHub ID, star events count, fork events count, license ID, event created at, created at, programming language, source encoding, language, whether it is a vendor, whether it is generated, file size, extension, content, quality feedback, and quality feedback length. The dataset is split into a training set, with corresponding byte size and number of examples provided.