{
 "id": "timlawrenz/gnn-ruby-code-study",
 "owner": "timlawrenz",
 "name": "gnn-ruby-code-study",
 "downloads": 70,
 "likes": 0,
 "last_modified": "2026-04-13T13:36:33.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "graph-ml",
  "text-classification"
 ],
 "citation": "@misc{lawrenz2025gnnruby,\n  title={Graph Neural Networks for Ruby Code Complexity Prediction and Generation: A Systematic Architecture Study},\n  author={Tim Lawrenz},\n  year={2025},\n  howpublished={\\url{https://huggingface.co/datasets/timlawrenz/gnn-ruby-code-study}}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "ef6d889d736ae493b8e7b6a3ec81dc6c8c1a18e2",
 "stated_evidence": "https://huggingface.co/datasets/timlawrenz/gnn-ruby-code-study/blob/ef6d889d736ae493b8e7b6a3ec81dc6c8c1a18e2/README.md",
 "file_evidence": "https://huggingface.co/datasets/timlawrenz/gnn-ruby-code-study/tree/ef6d889d736ae493b8e7b6a3ec81dc6c8c1a18e2",
 "card_nc": false
}