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We present the dataset accompanying the ICML 2025 paper “Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction.” In this work, we proposed a novel architecture of attention for spatial correlation in modelling high-dimensional chaotic systems, with a focus on achieving faithful long-time statistical behaviour.
This dataset addresses a benchmark on the Turbulent Channel Flow.
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