namakoo/idfu-generalization-specialty

IDFU泛化（Transformers）专业包是一个专注于高级泛化和过拟合缓解的Python失败数据集，旨在作为IDFU代码失败数据集家族的低成本入门点。该数据集包含87个样本，其中10个样本可免费预览。数据集面向ML训练工程师，用于训练ML训练管道错误分类器、DPO拒绝侧数据以及代码审查微调等任务。数据集通过严格的QA管道进行验证，并包含详细的数据字段模式。数据集采用Apache 2.0和CC-BY-NC-4.0双重许可。

The IDFU Generalization (Transformers) Specialty Pack is a single-domain Python failure dataset focused on advanced generalization and overfitting mitigation in transformers, designed as a low-cost entry point to the IDFU Code Failure Dataset family. The dataset includes 87 samples, with a free preview of 10 samples available. It is intended for ML training engineers and is used for tasks such as training an ML training pipeline error classifier, DPO rejected-side data, and code review fine-tuning. The dataset is validated through a rigorous QA pipeline and includes a schema detailing each field in the data. The dataset is licensed under Apache 2.0 and CC-BY-NC-4.0.