Yuma-Ichikawa/qqa4co-bench
QQA4CO Combinatorial Optimization Benchmark Suite A unified, pre-converted, ready-to-benchmark collection of Combinatorial-Optimization (CO) instances for discrete samplers, annealers, and learning-based solvers. Every family referenced in the PQQA paper Ichikawa & Iwashita, 2024 is reproduced here, together with a few broadly used community benchmarks (G-set, DIMACS COLOR, Edwards-Anderson). The dataset is designed to be solver-agnostic — a companion Python loader is shipped in… See the full description on the dataset page: https://huggingface.co/datasets/Yuma-Ichikawa/qqa4co-bench.
| Author / organization | Yuma-Ichikawa |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 20 April 2026 |
| Last updated at source | 22 April 2026 |
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