ML
ENT-00001968 · Benchmark

MLE-bench

MLE-bench is a AI benchmark associated with OpenAI, classified in LXKeys.world as AI Benchmark / Evaluation.

Niveau IV ConnectéActifDocumenté
Fiche publique

Vue d’ensemble

MLE-bench is a documented AI dataset or benchmark associated with OpenAI. The record identifies its role in evaluation, training, measurement or comparison of intelligent systems, with emphasis on the source context and the type of capability it helps assess.

Chronologie

  1. 2024Initial benchmark release

    MLE-bench entered the documented public record in 2024. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Documented source contextPublic reference anchorStructured classification

Limites connues

Benchmark scores depend on the exact dataset version, prompt or evaluation protocol, scoring implementation and contamination controls.Leaderboard performance should not be treated as a complete measure of real-world capability or safety.Benchmark relevance can decline as models, data and evaluation practices evolve.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for MLE-bench. Entity type: Benchmark; classification: AI Benchmark / Evaluation; creator/organization context: OpenAI. Canonical source anchor: https://github.com/openai/mle-bench. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

Documented EntityAI SystemRegistry Candidate
Graphe relationnel

MLE-bench

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MLE-bench
Publié parSortante
OpenAI

MLE-bench is associated with OpenAI through its documented source context.

Couche lisible par machine

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

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    "@context": [
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        }
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    "@type": "Thing",
    "identifier": "ENT-00001968",
    "name": "MLE-bench",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "MLE-bench is a AI benchmark associated with OpenAI, classified in LXKeys.world as AI Benchmark / Evaluation.",
    "creator": "OpenAI",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001968&lang=fr",
    "sameAs": "https://github.com/openai/mle-bench",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001968",
        "kind": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "classification": "AI Benchmark / Evaluation",
        "organization": "OpenAI",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2024",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:29+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:29+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Documented source context",
            "Public reference anchor",
            "Structured classification"
        ],
        "limitations": [
            "Benchmark scores depend on the exact dataset version, prompt or evaluation protocol, scoring implementation and contamination controls.",
            "Leaderboard performance should not be treated as a complete measure of real-world capability or safety.",
            "Benchmark relevance can decline as models, data and evaluation practices evolve."
        ],
        "tags": [
            "Documented Entity",
            "AI System",
            "Registry Candidate"
        ],
        "timeline": [
            {
                "date": "2024",
                "title": "Initial benchmark release",
                "description": "MLE-bench entered the documented public record in 2024. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/openai/mle-bench",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "OpenAI",
                "type": "Published by",
                "description": "MLE-bench is associated with OpenAI through its documented source context.",
                "evidence_level": "documentary",
                "target_id": "ENT-00000048"
            }
        ],
        "sources": [
            {
                "label": "MLE-bench repository",
                "url": "https://github.com/openai/mle-bench",
                "source_type": "Official Repository",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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