Deep4ge: Mutation-Induced Training Dynamics Dataset for DNN Fault Detection and Diagnosis
Deep4ge: Mutation-Induced Training Dynamics Dataset for DNN Fault Detection and Diagnosis
Deep4ge v1.0.0 A dataset of 14,227 mutation-induced per-epoch training logs generated from 60 real-world DNN programs, engineered for fault detection and diagnosis research in deep neural networks. Dataset contents 9,845 faulty training logs across 7 fault categories 4,382 correct baseline logs 60 StackOverflow seed programs (FNN / CNN / RNN) 31 dynamic features per epoch (gradients, activations, weights, hardware) Manifest index, data dictionary, and validation scripts Licenses Dataset: CC BY 4.0 Mutation framework: MIT Citation If you use Deep4ge, please cite this release and refer to the CITATION.cff file in the repository. Submitted to ICST 2026 Testing Tools and Data Showcase Track.
If you use Deep4ge, please cite this dataset and repository.
mutation testing, deep learning, dataset, software testing, fault diagnosis
mutation testing, deep learning, dataset, software testing, fault diagnosis
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