SeaIce Bench Dataset description SeaIce Bench is a multimodal benchmark for evaluating large language models (LLMs) and multimodal large language models (MLLMs) on sea ice analysis and prediction tasks. The dataset combines multispectral satellite imagery, monthly sea ice extent records, weekly sea ice motion vectors, and textual question answer pairs. The image data were collected between 2017 and 2026 near the Arctic and Antarctic polar regions. The numerical data cover both the Northern and Southern Hemispheres through 40 year moving windows. SeaIce Bench can be used to evaluate a model's ability to: interpret original size and cropped multispectral satellite images; estimate or analyze sea ice conditions from visual inputs; reason over long term monthly sea ice extent records; analyze and forecast weekly sea ice motion vectors; and answer domain specific textual questions about sea ice. Dataset structure dataset img ori png This directory contains satellite images at their original spatial dimensions and resolution. The source imagery is converted from JPEG 2000 to PNG because current LLM and MLLM interfaces generally do not accept the original JPEG 2000 format. The dataset img…
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