{"data":{"full_name":"RaptorMai/MLLM-CompBench","name":"MLLM-CompBench","description":"[NeurIPS'25] MLLM-CompBench evaluates the comparative reasoning of MLLMs with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, temporality, spatiality, quantity, and quality. CompBench covers diverse visual domains, including animals, fashion, sports, and scenes","stars":44.0,"forks":2.0,"language":"Jupyter Notebook","license":"NOASSERTION","archived":0.0,"subcategory":"domain-specific-benchmarks","last_pushed_at":"2025-04-21T04:48:19+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":8.0,"maturity_score":16.0,"community_score":5.0,"quality_score":31.0,"quality_tier":"emerging","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T20:27:04.923200+00:00"}}