QQA4CO Bench: A Unified Combinatorial Optimization Benchmark Suite

QQA4CO Bench is a unified, pre-converted collection of combinatorial optimization instances. The dataset bundles six independent families of instances and is maintained by Yuma-Ichikawa. It was last updated on Hugging Face on 2026-04-20.

Use Cases

• Benchmarking algorithm performance based on the six bundled families of combinatorial instances.
• Comparing solution methods for combinatorial optimization problems using a pre-converted collection.
• Developing new optimization algorithms with a ready-to-use suite of test problems.

Strengths

• The dataset is described as a unified, pre-converted, and ready-to-benchmark collection.
• It bundles six independent families of combinatorial optimization instances.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Yuma-Ichikawa on Hugging Face.

Collection Method

Pre-converted collection of instances from other sources, likely for the QQA4CO project.

Freshness

Last updated 2026-04-20 14:04:11.