MMLU

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
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    ],
    "@type": "Thing",
    "identifier": "ENT-00000704",
    "name": "MMLU",
    "alternateName": [],
    "additionalType": {
        "category": "Methods and Research",
        "type": "Research System",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "MMLU is a research system associated with Academic benchmark, classified in LXKeys.world as AI Research / Specialized System.",
    "creator": "Dan Hendrycks et al.",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000704&lang=fr",
    "sameAs": "https://github.com/hendrycks/test",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000704",
        "kind": "Methods and Research",
        "type": "Research System",
        "subtype": "",
        "classification": "AI Research / Specialized System",
        "organization": "Academic benchmark",
        "originContext": "Benchmark",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Research evaluation or discovery",
            "Scientific or benchmark utility",
            "Structured evidence generation",
            "Model or system analysis"
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        "limitations": [
            "Capabilities vary by release, deployment setting and evaluation method.",
            "Operational details may differ across hosted APIs, open releases or downstream integrations.",
            "The registry keeps MMLU as the suite-level entity; individual subject tasks are treated as components rather than independent intelligent entities."
        ],
        "tags": [
            "Academic benchmark",
            "Research System",
            "Research",
            "AI",
            "Curated Parent Entity"
        ],
        "timeline": [
            {
                "date": "2020",
                "title": "Initial research publication or demonstration",
                "description": "MMLU entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.",
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                "type": "Creator or Developer",
                "description": "Dan Hendrycks et al. is identified as a creator, developer or originating actor for MMLU.",
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                "label": "MMLU official reference",
                "url": "https://github.com/hendrycks/test",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
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