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D DianShi-RxnDB is presented, a large-scale, fine-grained organic reaction data platform built via a fully automated extraction and normalization pipeline integrating patent text, images, and reaction schemes integrating patent text, images, and reaction schemes.
Achieving 93.02% accuracy in molecular structure recognition, MinerU.Chem outperforms existing systems, unlocking new possibilities for AI-driven chemistry research.
Forget tedious fine-tuning: leveraging molecule identifiers as visual prompts unlocks surprisingly powerful zero-shot chemical reaction diagram parsing in VLMs.