UniParser/RxnBench-Doc

RxnBench-Doc: A Benchmark for Multimodal Understanding of Chemistry Reaction Literature News: This work has been accepted by Journal of Chemical Information and Modeling 📘 Benchmark Summary RxnBench (FD-QA) is a document-level question answering (DocQA) benchmark comprising 540 multiple-select questions designed to assess PhD-level understanding of organic chemistry reactions in textual and multimodal contexts. All questions underwent multiple rounds of expert… See the full description on the dataset page: https://huggingface.co/datasets/UniParser/RxnBench-Doc.

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