doxa-friend/MolMole_Patent300
🖥️ Demo | 📑 Paper | Showroom MolMole_Patent300 is a curated benchmark designed to evaluate models that extract chemical information from full-page patent images.It was introduced in the paper “MolMole: Molecule Mining from Scientific Literature.” This benchmark enables end-to-end evaluation of chemical information extraction, covering: Molecule bounding box detection Reaction parsing Optical chemical structure recognition (OCSR) 📦 Contents Folder Description… See the full description on the dataset page: https://huggingface.co/datasets/doxa-friend/MolMole_Patent300.
| Author / organization | doxa-friend |
|---|---|
| Downloads | 214 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 21 July 2025 |
| Last updated at source | 21 July 2025 |
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214 now (-185 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: 🖥️ Demo | 📑 Paper | Showroom MolMole_Patent300 is a curated benchmark designed to evaluate models that extract chemical information from full-page patent images.It was introduced in the paper “MolMole: Molecule Mining from Scientific Lite → 🖥️ Demo | 📑 Paper | Showroom MolMole_Patent300 is a curated benchmark designed to evaluate models that extract chemical information from full-page patent images.It was introduced in the paper “MolMole: Molecule Mining from Scientific Lite
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