ENT-00001602 · AI Benchmark

MTEB

MTEB is a massive text embedding benchmark associated with Hugging Face ecosystem.

Level IV — ConnectedActiveDocumented

Human readable record

Overview

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.

Timeline

2022MTEB public documentation anchor
MTEB appears in public documentation or stable reference sources as a massive text embedding benchmark associated with Hugging Face ecosystem.

Capabilities

Data recordEvaluationTechnical reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.

Technical and registry detail

Technical description

Structured record for MTEB. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://github.com/embeddings-benchmark/mteb.

Controlled tags

DatasetBenchmarkAI Infrastructure

Relationship graph

MTEB

Published byHugging Face ecosystem

MTEB is associated with Hugging Face ecosystem through its documented source context.

Machine readable layer

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

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    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001602",
    "name": "MTEB",
    "alternateName": [],
    "additionalType": "AI Benchmark",
    "description": "MTEB is a massive text embedding benchmark associated with Hugging Face ecosystem.",
    "creator": "MTEB authors",
    "url": "entity.php?id=ENT-00001602",
    "sameAs": "https://github.com/embeddings-benchmark/mteb",
    "lxkeysWorld": {
        "classification": "massive text embedding benchmark",
        "organization": "Hugging Face ecosystem",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2022",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "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",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Data record",
            "Evaluation",
            "Technical reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "AI Infrastructure"
        ],
        "timeline": [
            {
                "date": "2022",
                "title": "MTEB public documentation anchor",
                "description": "MTEB appears in public documentation or stable reference sources as a massive text embedding benchmark associated with Hugging Face ecosystem."
            }
        ],
        "relationships": [
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                "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"
            }
        ]
    }
}

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