ObsCrisis Bench A multimodal benchmark for evaluating large vision language models on extreme weather event analysis tasks. Dataset Description ObsCrisis Bench contains 4,202 VQA samples across 127 extreme weather events in 8 disaster categories , covering 61 countries . Each sample combines satellite multispectral imagery (AMSU A, HIRS, MHS sensors) with optional weather station data, and requires models to perform risk assessment, type classification, timing prediction, and impact analysis. Disaster Categories Category Events VQA Samples Subtypes cold wave 5 140 cold wave earthquake 10 417 ground movement, tsunami flood 17 523 coastal flood, flash flood, general flood, riverine flood heat wave 5 165 heat wave mass movement (wet) 6 189 landslide (wet), mudslide storm 55 1,852 blizzard/winter storm, derecho, extra tropical storm, general storm, hail, lightning/thunderstorm, sand/dust storm, severe weather, storm surge, tornado, tropical cyclone volcanic activity 15 450 ash fall, general activity, lava flow, pyroclastic flow wildfire 14 466 forest fire, general wildfire, land fire Total 127 4,202 Task Structure Each VQA sample belongs to one of three task categories: Task Category S…
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