This repository provides the processed code datasets used in the HAM-Net
experiments for cross-project software defect prediction.
Each JSONL record represents one source-code file or Java class containing
multiple functions.
For datasets organized by file or class, HAM-Net treats the file/class as a
bag and its functions as instances, following the multiple-instance
learning (MIL) setting. Each record includes a binary defect label, a project
identifier, and… See the full description on the dataset page:
https://huggingface.co/datasets/Scream9371/hamnet-datasets.
