AI RESEARCH
AirQualityBench: A Realistic Evaluation Benchmark for Global Air Quality Forecasting
arXiv CS.AI
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ArXi:2605.05854v1 Announce Type: new Air-quality forecasting models are commonly evaluated on regional, preprocessed, and normalized datasets, where missing observations are removed or artificially completed. Such protocols simplify comparison but hide the conditions that dominate real monitoring networks: uneven global coverage, structured missingness, heterogeneous pollutant scales, and deployment cost. We