MT
ENT-00001602 · Benchmark

MTEB

MTEB is a AI benchmark associated with Hugging Face ecosystem, classified in LXKeys.world as AI Benchmark / Evaluation.

Niveau IV ConnectéActifDocumenté
Fiche publique

Vue d’ensemble

MTEB is a documented AI dataset or benchmark associated with Hugging Face ecosystem. 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. 2022Initial benchmark release

    MTEB entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Data recordEvaluationTechnical reference

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 MTEB. Entity type: Benchmark; classification: AI Benchmark / Evaluation; creator/organization context: MTEB authors. Canonical source anchor: https://github.com/embeddings-benchmark/mteb. 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

DatasetBenchmarkAI InfrastructureCurated Parent Entity
Graphe relationnel

MTEB

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MTEB
Publié parSortante
Hugging Face ecosystem

MTEB is associated with Hugging Face ecosystem 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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        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00001602",
    "name": "MTEB",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "MTEB is a AI benchmark associated with Hugging Face ecosystem, classified in LXKeys.world as AI Benchmark / Evaluation.",
    "creator": "MTEB authors",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001602&lang=fr",
    "sameAs": "https://github.com/embeddings-benchmark/mteb",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001602",
        "kind": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "classification": "AI Benchmark / Evaluation",
        "organization": "Hugging Face ecosystem",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2022",
        "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": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Data record",
            "Evaluation",
            "Technical reference"
        ],
        "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": [
            "Dataset",
            "Benchmark",
            "AI Infrastructure",
            "Curated Parent Entity"
        ],
        "timeline": [
            {
                "date": "2022",
                "title": "Initial benchmark release",
                "description": "MTEB entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/embeddings-benchmark/mteb",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Hugging Face ecosystem",
                "type": "Published by",
                "description": "MTEB is associated with Hugging Face ecosystem through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "MTEB repository",
                "url": "https://github.com/embeddings-benchmark/mteb",
                "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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