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GameCommBench

GameCommBench: A Unified Benchmark and Type-Aware Evaluation for AI-Generated Game Commentary

A unified benchmark for AI-generated game commentary across board games, sports, and esports, featuring type-annotated data and TACE evaluation framework.

How to run

ltb · gamecommbench
$ npm i -g lettokenburn-cli
$ ltb bench info gamecommbench

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

6 sourced entries
HarnessSourceConfidenceLink
GPT-5.40.6N/AIndependentmediumOct 8, 2026arxiv.org
Claude Sonnet 4.5 (2025-09-29)0.5N/AIndependentmediumOct 8, 2026arxiv.org
Gemini 3.1 Pro0.5N/AIndependentmediumOct 8, 2026arxiv.org
Qwen3-VL-32B0.5N/AIndependentmediumOct 8, 2026arxiv.org
InternVL3.5-38B0.4N/AIndependentmediumOct 8, 2026arxiv.org
GLM-4.6V0.3N/AIndependentmediumOct 8, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

GameCommBench spans chess, Go, soccer, basketball, and LoL, providing aligned game contexts and commentary annotated as descriptive, analytical, or background. It uses the Type-Aware Commentary Evaluation (TACE) framework to assess functional heterogeneity rather than holistic scores.

The benchmark reveals non-uniform capabilities in AI commentators, identifying live observation and strategic analysis as key bottlenecks. TACE is validated for reliability and human agreement, offering a diagnostic foundation for interpretable evaluation.