Dataset · Hugging Face

latent-recast-research/R-GroundBench

Name: R-GroundBench
Creator: latent-recast-research
License: other
Keywords: task_categories:question-answering, task_categories:text-generation, language:en, license:other, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, chemistry, molecular-editing

R-GroundBench R-GroundBench is a diagnostic benchmark for evaluating R-group grounding in Markush molecular editing. It tests whether a model can connect R-group placeholders in a Markush scaffold to concrete substituents under natural-language instructions or property questions. The release contains two tracks: multiple-choice visual question answering (VQA) and open-ended molecular generation. Every configuration contains a single test split. The benchmark records, their… See the full description on the dataset page: https://huggingface.co/datasets/latent-recast-research/R-GroundBench.

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Author / organization	latent-recast-research
License (as declared)	other
Downloads	744 (as reported by Hugging Face)
Likes	0
Created	29 September 2026
Last updated at source	29 September 2026

chemistrymolecular-editingmarkush-structuresr-group-grounding

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