Recent advances in artificial intelligence offer considerable promise for enhancing industrial computational simulation workflows, yet practical adoption is limited by a shortage of high-quality, real-world datasets. Most existing CFD-related datasets focus on a single phase of the simulation lifecycle, typically post-processed flow snapshots, and lack the upstream information needed to train models that can exploit the full pipeline. In this work, we present three such datasets, collected fr...

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