JetBrains/git_good_bench-train

Dataset Summary GitGoodBench Lite is a subset of 17469 samples for collecting trajectories of AI agents resolving git tasks (see Supported Scenarios) for model training purposes. We support the programming languages Python, Java and Kotlin and the sample types merge conflict resolution and file-commit chain. All data in this dataset are collected from 816 unique, open-source GitHub repositories with permissive licenses that have >= 1000 stars, >= 5 branches, >= 10 contributors… See the full description on the dataset page: https://huggingface.co/datasets/JetBrains/git_good_bench-train.