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  "@type": "sc:Dataset",
  "name": "Poisson_Multimode PosteriorDataset",
  "description": "PosteriorBench v2.0 Hugging Face Arrow posterior-test dataset for the Poisson_Multimode inverse problem. It contains 10 validation cases and 490 test cases. Each case stores canonical reference fields a_ref and u_ref, optional observation masks and metadata, 100 posterior samples for a and u, and normalized posterior weights. Normalization statistics are intentionally taken from the linked training dataset data/PBench/PDEFieldDataset_hf/Poisson_Multimode.",
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  "url": "https://huggingface.co/datasets/anonymousmay/PosteriorBench",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "creator": {
    "@type": "Organization",
    "name": "PosteriorBench / DDIS contributors",
    "url": "https://github.com/neuraloperator/FunDPS-Physics-Guidance"
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  "publisher": {
    "@type": "Organization",
    "name": "PosteriorBench / DDIS contributors",
    "url": "https://github.com/neuraloperator/FunDPS-Physics-Guidance"
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  "dateCreated": "2026-05-07",
  "datePublished": "2026-05-07",
  "dateModified": "2026-05-07",
  "version": "2.0",
  "keywords": [
    "Poisson equation",
    "partial differential equation",
    "inverse problems",
    "posterior sampling",
    "diffusion models",
    "scientific machine learning",
    "uncertainty quantification"
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  "rai:dataBiases": "The data are synthetic and inherit the parameter ranges, resolution, and case selection of their source generators.",
  "rai:personalSensitiveInformation": "No personal or sensitive information is present.",
  "rai:dataUseCases": [
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    "Training or evaluating scientific machine-learning models with PosteriorBench v2.0 loaders.",
    "Not recommended for claims about real-world physical systems without validation against domain data."
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}