| { |
| "@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": "Linalg-Spec-30", |
| "description": "Hand-authored NL\u2192MLIR pairs for linalg named ops under memref semantics (matmul, matvec, fill, copy, transpose, broadcast, add, sub, mul, div, exp, abs).", |
| "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": "Linalg-Spec-30-archive", |
| "name": "Linalg-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), 12 linalg named ops." |
| } |
| } |
