J017athan/SciGenBench
Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility SciGenBench benchmarks scientific image generation with a hybrid protocol: Inverse Quiz Validation (Rinv) + LMM-as-Judge.ImgCoder enables logic-driven, verifiable diagrams via Understand → Plan → Code.High-fidelity synthetic images → stronger multimodal reasoning. Overview Scientific images require logical correctness beyond visual plausibility. We systematically study… See the full description on the dataset page: https://huggingface.co/datasets/J017athan/SciGenBench.
| Author / organization | J017athan |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 585 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 11 January 2026 |
| Last updated at source | 27 January 2026 |
Recent changes
- 16 Oct 2026 Description: Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility SciGenBench benchmarks scientific image generation with a hybrid protocol: Inverse Quiz Validation (Rinv) + LMM-as-Judge.ImgCoder enables logic-driven, verifiab → Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility SciGenBench benchmarks scientific image generation with a hybrid protocol: Inverse Quiz Validation (Rinv) + LMM-as-Judge.ImgCoder enables logic-driven, verifiab
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