SARLO-80 is a large-scale dataset combining very-high-resolution SAR SLC, aligned optical imagery, and natural-language descriptions. It includes 119,566 triplets from 2,500 global scenes across 72 countries, standardized to an 80cm slant-range grid with pixel-level alignment and three caption variants. The dataset is publicly available on Hugging Face for multimodal learning benchmarks in native SAR geometry.