{
  "@context": {
    "@language": "en",
    "@vocab": "https://schema.org/",
    "sc": "https://schema.org/",
    "cr": "http://mlcommons.org/croissant/",
    "rai": "http://mlcommons.org/croissant/RAI/",
    "dct": "http://purl.org/dc/terms/",
    "data": {
      "@id": "cr:data",
      "@type": "@json"
    },
    "dataType": {
      "@id": "cr:dataType",
      "@type": "@vocab"
    },
    "examples": {
      "@id": "cr:examples",
      "@type": "@json"
    }
  },
  "@type": "sc:Dataset",
  "name": "StableHLO-Spec-30",
  "description": "Hand-authored NL\u2192MLIR pairs for StableHLO dialect covering 10 op families.",
  "conformsTo": "http://mlcommons.org/croissant/1.0",
  "license": "https://spdx.org/licenses/Apache-2.0.html",
  "version": "1.0.0",
  "datePublished": "2026-04-21",
  "citeAs": "(anonymous submission to NeurIPS 2026 E&D track)",
  "url": "<populated-at-camera-ready>",
  "distribution": [
    {
      "@type": "cr:FileObject",
      "@id": "StableHLO-Spec-30-archive",
      "name": "StableHLO-Spec-30.zip",
      "contentUrl": "<populated-at-camera-ready>",
      "encodingFormat": "application/zip",
      "sha256": "<populated-at-camera-ready>"
    }
  ],
  "recordSet": [
    {
      "@type": "cr:RecordSet",
      "@id": "records",
      "name": "records",
      "description": "One MLIR prompt/reference pair per record.",
      "field": [
        {
          "@type": "cr:Field",
          "@id": "records/id",
          "name": "id",
          "dataType": "sc:Text",
          "description": "Unique record identifier."
        },
        {
          "@type": "cr:Field",
          "@id": "records/nl",
          "name": "nl",
          "dataType": "sc:Text",
          "description": "Natural-language description."
        },
        {
          "@type": "cr:Field",
          "@id": "records/mlir",
          "name": "mlir",
          "dataType": "sc:Text",
          "description": "Reference MLIR that verifies under mlir-opt/iree-compile."
        },
        {
          "@type": "cr:Field",
          "@id": "records/dialect",
          "name": "dialect",
          "dataType": "sc:Text",
          "description": "MLIR dialect of the reference program."
        },
        {
          "@type": "cr:Field",
          "@id": "records/difficulty",
          "name": "difficulty",
          "dataType": "sc:Text",
          "description": "Author-assigned difficulty or 'programmatic'."
        }
      ]
    }
  ],
  "rai:dataCollection": "Hand-authored by the submitting author against the target MLIR dialect's ODS.",
  "rai:dataBiases": [
    "Author-curated: prompts reflect the submitting author's mental model of the target dialect; may under-represent op combinations not present in the spec examples.",
    "No human-subject data; no PII; no demographic bias dimensions apply."
  ],
  "rai:dataLimitations": [
    "Verify-valid pass-rate measures structural validity under mlir-opt/iree-compile, not functional correctness. Programs that pass the gate may still compute the wrong function.",
    "English natural-language descriptions only.",
    "Small n (30-200 prompts per dataset) yields CI half-widths of ~3-10pp at p=0.5."
  ],
  "rai:annotationsPerExample": 0,
  "rai:annotationDemographics": "N/A \u2014 no human annotators.",
  "rai:personalSensitiveInformation": "None.",
  "rai:useCases": [
    "Evaluating NL\u2192MLIR generation systems (constrained or unconstrained) under a verifier-based pass-rate metric."
  ],
  "rai:excludedUseCases": [
    "Evaluating functional correctness without an additional lowering + execution harness.",
    "Training or fine-tuning production code-generation models without a separate held-out corpus."
  ],
  "extra": {
    "size": 30,
    "sampling": "Author-curated (single author), 10 op families."
  }
}