ML
ENT-00001683 · Jeu de données

MLQA

MLQA is a dataset associated with Meta AI, classified in LXKeys.world as Language / Training Dataset.

Niveau IV ConnectéActifDocumenté
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Vue d’ensemble

MLQA is a documented AI dataset or benchmark associated with Meta AI. 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. 2019Initial dataset release

    MLQA entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Data resourceEvaluation supportResearch reference

Limites connues

Dataset coverage, licensing, annotation quality, representativeness and allowed uses depend on the released version and source terms.Model performance on the dataset does not imply equivalent performance in deployment or on other populations and domains.Dataset revisions, removals or access restrictions can change over time.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for MLQA. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Facebook AI Research. Canonical source anchor: https://github.com/facebookresearch/MLQA. 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

DatasetBenchmarkEvaluation
Graphe relationnel

MLQA

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MLQA
Publié parSortante
Meta AI

MLQA is associated with Meta AI 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.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00001683",
    "name": "MLQA",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "MLQA is a dataset associated with Meta AI, classified in LXKeys.world as Language / Training Dataset.",
    "creator": "Facebook AI Research",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001683&lang=fr",
    "sameAs": "https://github.com/facebookresearch/MLQA",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001683",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Language / Training Dataset",
        "organization": "Meta AI",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2019",
        "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 resource",
            "Evaluation support",
            "Research reference"
        ],
        "limitations": [
            "Dataset coverage, licensing, annotation quality, representativeness and allowed uses depend on the released version and source terms.",
            "Model performance on the dataset does not imply equivalent performance in deployment or on other populations and domains.",
            "Dataset revisions, removals or access restrictions can change over time."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "Initial dataset release",
                "description": "MLQA entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/facebookresearch/MLQA",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Meta AI",
                "type": "Published by",
                "description": "MLQA is associated with Meta AI through its documented source context.",
                "evidence_level": "documentary",
                "target_id": "ENT-00000033"
            }
        ],
        "sources": [
            {
                "label": "Official dataset or benchmark reference",
                "url": "https://github.com/facebookresearch/MLQA",
                "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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