AI BENCHMARK PROFILE
ScienceQA Visual
ScienceQA Visual is a multimodal science question answering benchmark consisting of 21,208 multiple-choice questions from elementary and high school science curricula. The dataset covers 3 subjects (natural science, language science, social science), 26 topics, 127 categories, and 379 skills. 48.7% of questions include image context requiring multimodal reasoning. Questions are annotated with lectures (83.9%) and explanations (90.5%) to support chain-of-thought reasoning for science question answering.
- Released
- Unknown
- Readiness
- Paper only
- Primary field
- General AI
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.