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  "@type": "sc:Dataset",
  "name": "Poisson_Multimode PDEFieldDataset",
  "description": "PosteriorBench v2.0 Hugging Face Arrow training dataset for the Poisson_Multimode inverse problem. Each of the 50,000 records contains an integer id, raw float32 forcing field a=f with shape [128, 128], raw float32 solution field u=phi with shape [128, 128], and scalar generation parameters alpha and tau. Runtime loaders concatenate a and u into channel-first [2, 128, 128] tensors and apply normalization from metadata.json.",
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  "rai:dataBiases": "The generation metadata records alpha in [1.5, 3.0] and tau in [2.0, 4.0]; behavior outside those ranges is not represented.",
  "rai:personalSensitiveInformation": "No personal or sensitive information is present.",
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        {
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          "value": "(x - mean) * (0.5 / std), with stats stored in metadata.json."
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