{
 "id": "Yuma-Ichikawa/qqa4co-bench",
 "owner": "Yuma-Ichikawa",
 "name": "qqa4co-bench",
 "downloads": 1683,
 "likes": 1,
 "last_modified": "2026-04-22T15:15:48.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "graph-ml",
  "other"
 ],
 "citation": "@article{ichikawa2024pqqa,\n  title   = {Optimization by Parallel Quasi-Quantum Annealing with\n             Gradient-Based Sampling},\n  author  = {Ichikawa, Yuma and Iwashita, Hiroshi},\n  journal = {arXiv preprint arXiv:2409.02135},\n  year    = {2024},\n  url     = {https://arxiv.org/abs/2409.02135}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "88c7301a90eb428e9e992b1b35e616dd9946686a",
 "stated_evidence": "https://huggingface.co/datasets/Yuma-Ichikawa/qqa4co-bench/blob/88c7301a90eb428e9e992b1b35e616dd9946686a/README.md",
 "file_evidence": "https://huggingface.co/datasets/Yuma-Ichikawa/qqa4co-bench/tree/88c7301a90eb428e9e992b1b35e616dd9946686a",
 "card_nc": false
}