ENT-00002446 · Dataset / Benchmark

MMLU Business Ethics

MMLU Business Ethics is a dataset variant / benchmark task associated with MMLU authors.

Level V — PersistentActiveDocumented

Human readable record

Overview

MMLU Business Ethics is a data or evaluation resource used in artificial intelligence research. It is associated with MMLU authors and is documented as MMLU subject task for business ethics.

Timeline

2020Public release or publication
MMLU Business Ethics appears in public documentation or research records associated with MMLU authors.

Capabilities

Evaluation resource for AI systemsDataset or benchmark documentationMachine-learning task referenceSource-linked registry metadataRelationship graph compatibility

Known limitations

Coverage and licensing should be interpreted through the linked source record.Benchmark scores or dataset contents can evolve over time through external updates.

Technical and registry detail

Technical description

Structured dataset or benchmark record for MMLU Business Ethics. The technical layer identifies the resource category, originating organization, public source, evaluation context, related machine-learning tasks and registry-safe metadata.

Controlled tags

DatasetBenchmarkEvaluationData ResourceDataset Variant

Relationship graph

MMLU Business Ethics

CreatorDan Hendrycks et al.

Dan Hendrycks et al. is documented as creator, contributor or originating team for MMLU Business Ethics.

Associated organizationMMLU authors

MMLU authors is the organization or institutional context associated with MMLU Business Ethics.

ClassificationDataset Variant / Benchmark Task

MMLU Business Ethics is classified as Dataset Variant / Benchmark Task.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002446",
    "name": "MMLU Business Ethics",
    "alternateName": [],
    "additionalType": "Dataset / Benchmark",
    "description": "MMLU Business Ethics is a dataset variant / benchmark task associated with MMLU authors.",
    "creator": "Dan Hendrycks et al.",
    "url": "entity.php?id=ENT-00002446",
    "sameAs": "https://huggingface.co/datasets/cais/mmlu",
    "lxkeysWorld": {
        "classification": "Dataset Variant / Benchmark Task",
        "organization": "MMLU authors",
        "originContext": "AI evaluation and data infrastructure",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V — Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "reviewed_utc": "2026-06-17T01:33:48+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "capabilities": [
            "Evaluation resource for AI systems",
            "Dataset or benchmark documentation",
            "Machine-learning task reference",
            "Source-linked registry metadata",
            "Relationship graph compatibility"
        ],
        "limitations": [
            "Coverage and licensing should be interpreted through the linked source record.",
            "Benchmark scores or dataset contents can evolve over time through external updates."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Evaluation",
            "Data Resource",
            "Dataset Variant"
        ],
        "timeline": [
            {
                "date": "2020",
                "title": "Public release or publication",
                "description": "MMLU Business Ethics appears in public documentation or research records associated with MMLU authors."
            }
        ],
        "relationships": [
            {
                "target": "Dan Hendrycks et al.",
                "type": "Creator",
                "description": "Dan Hendrycks et al. is documented as creator, contributor or originating team for MMLU Business Ethics.",
                "evidence_level": "documentary"
            },
            {
                "target": "MMLU authors",
                "type": "Associated organization",
                "description": "MMLU authors is the organization or institutional context associated with MMLU Business Ethics.",
                "evidence_level": "documentary"
            },
            {
                "target": "Dataset Variant / Benchmark Task",
                "type": "Classification",
                "description": "MMLU Business Ethics is classified as Dataset Variant / Benchmark Task.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Hugging Face dataset card",
                "url": "https://huggingface.co/datasets/cais/mmlu",
                "source_type": "Dataset Card / Reference Source",
                "verification_status": "verified"
            }
        ]
    }
}

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