JetBrains/git_good_bench-train

104 downloads in 30 days2 likesLast modified 18 Nov 2025View on Hugging Face

The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at 3dd1714
Licence files: No licence file at the top level of the repositoryEvidence: file list at 3dd1714
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@inproceedings{lindenbauer-etal-2025-gitgoodbench,
    title = "{G}it{G}ood{B}ench: A Novel Benchmark For Evaluating Agentic Performance On Git",
    author = "Lindenbauer, Tobias  and
      Bogomolov, Egor  and
      Zharov, Yaroslav",
    editor = "Kamalloo, Ehsan  and
      Gontier, Nicolas  and
      Lu, Xing Han  and
      Dziri, Nouha  and
      Murty, Shikhar  and
      Lacoste, Alexandre",
    booktitle = "Proceedings of the 1st Workshop for Research on Agent Language Models (REALM 2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.realm-1.19/",
    doi = "10.18653/v1/2025.realm-1.19",
    pages = "272--288",
    ISBN = "979-8-89176-264-0",
    abstract = "Benchmarks for Software Engineering (SE) AI agents, most notably SWE-bench, have catalyzed progress in programming capabilities of AI agents. However, they overlook critical developer workflows such as Version Control System (VCS) operations. To address this issue, we present GitGoodBench, a novel benchmark for evaluating AI agent performance on Version Control System (VCS) tasks. GitGoodBench covers three core Git scenarios extracted from permissive open-source Python, Java, and Kotlin repositories. Our benchmark provides three datasets: a comprehensive evaluation suite (900 samples), a rapid prototyping version (120 samples), and a training corpus (17,469 samples). We establish baseline p

All datasets marked Permissive or share-alike | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "JetBrains/git_good_bench-train" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0