{ "@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": "MLIR-Functional-Reference-30", "description": "Hand-authored functional-correctness reference set for arith+func, linalg+memref, and StableHLO (n=30, 10 per dialect). Each record specifies a canonical function name, signature, concrete inputs, and the expected output under a dialect-specific execution wrapper. The set is released as evaluation evidence (verify-valid is necessary but not sufficient for functional correctness).", "conformsTo": "http://mlcommons.org/croissant/1.0", "license": "https://spdx.org/licenses/Apache-2.0.html", "version": "1.0.0", "datePublished": "2026-04-29", "citeAs": "(anonymous submission to NeurIPS 2026 E&D track)", "url": "", "distribution": [ { "@type": "cr:FileObject", "@id": "MLIR-Functional-Reference-30-archive", "name": "MLIR-Functional-Reference-30.zip", "contentUrl": "", "encodingFormat": "application/zip", "sha256": "" } ], "recordSet": [ { "@type": "cr:RecordSet", "@id": "records", "name": "records", "description": "One functional-reference record per row.", "field": [ { "@type": "cr:Field", "@id": "records/id", "name": "id", "dataType": "sc:Text", "description": "Unique record identifier." }, { "@type": "cr:Field", "@id": "records/dialect", "name": "dialect", "dataType": "sc:Text", "description": "MLIR dialect tag (arith/linalg/stablehlo)." }, { "@type": "cr:Field", "@id": "records/source_benchmark", "name": "source_benchmark", "dataType": "sc:Text", "description": "Which sibling benchmark this prompt was authored from." }, { "@type": "cr:Field", "@id": "records/source_id", "name": "source_id", "dataType": "sc:Text", "description": "Sibling-benchmark prompt id (for cross-reference)." }, { "@type": "cr:Field", "@id": "records/canonical_fn_name", "name": "canonical_fn_name", "dataType": "sc:Text", "description": "Expected MLIR function name." }, { "@type": "cr:Field", "@id": "records/canonical_signature", "name": "canonical_signature", "dataType": "sc:Text", "description": "Expected MLIR function signature." }, { "@type": "cr:Field", "@id": "records/result_type", "name": "result_type", "dataType": "sc:Text", "description": "MLIR result type." }, { "@type": "cr:Field", "@id": "records/inputs", "name": "inputs", "dataType": "sc:Text", "description": "Concrete input values for the execution wrapper (JSON-encoded)." }, { "@type": "cr:Field", "@id": "records/expected_output", "name": "expected_output", "dataType": "sc:Text", "description": "Expected scalar/array output (JSON-encoded)." }, { "@type": "cr:Field", "@id": "records/expected_stdout_regex", "name": "expected_stdout_regex", "dataType": "sc:Text", "description": "Optional regex over the runner's stdout for matching." }, { "@type": "cr:Field", "@id": "records/nl", "name": "nl", "dataType": "sc:Text", "description": "Natural-language task description." } ] } ] }