Datasets:

UniParser
/

RxnBench

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Visual Question Answering

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AI4Industry commited on Sep 16, 2025

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 ## 📘 Benchmark Summary
-RxnBench is a visual question answering (VQA) benchmark comprising 1,525 multiple-choice questions (MCQs) at the PhD-level of organic chemistry reaction understanding.
 The benchmark is built from 305 scientific figures drawn from high-impact OpenAssess journals.
 For each figure, domain experts carefully designed five multiple-choice VQA questions targeting the interpretation of organic reaction diagrams.

 ## 📘 Benchmark Summary
+RxnBench is a visual question answering (VQA) benchmark comprising 1,525 multiple-choice questions (MCQs) at the PhD-level of organic chemistry reaction understanding. All data are annotated by experts in the organic chemistry domain and subsequently validated through two rounds of expert review.
 The benchmark is built from 305 scientific figures drawn from high-impact OpenAssess journals.
 For each figure, domain experts carefully designed five multiple-choice VQA questions targeting the interpretation of organic reaction diagrams.