A repository-level software engineering dataset for deep learning frameworks. FrameSWE contains 102 real-world software engineering tasks drawn from the PaddlePaddle deep learning framework. The dataset covers bug fixes, enhancements, implementations, and API changes, with an emphasis on framework-specific code understanding and repository-level reasoning. Each task provides a problem description and supporting artifacts, including a reference patch and task-specific tests. FrameSWE is intended for research on coding agents, automated program repair, and software engineering benchmarks. The enhancement category includes one task previously labeled Unspecified in an earlier summary. Affected…