VG
ENT-00001600 · Jeu de données

VGGSound

VGGSound is a dataset associated with University of Oxford, classified in LXKeys.world as Vision / Multimodal Dataset.

Niveau IV ConnectéActifDocumenté
Fiche publique

Vue d’ensemble

VGGSound is a documented AI dataset or benchmark associated with University of Oxford. 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. 2020Initial dataset release

    VGGSound entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Data recordEvaluationTechnical 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 VGGSound. Entity type: Dataset; classification: Vision / Multimodal Dataset; creator/organization context: University of Oxford. Canonical source anchor: https://www.robots.ox.ac.uk/~vgg/data/vggsound/. 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 Infrastructure
Graphe relationnel

VGGSound

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VGGSound
Publié parSortante
University of Oxford

VGGSound is associated with University of Oxford 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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    "@type": "Thing",
    "identifier": "ENT-00001600",
    "name": "VGGSound",
    "alternateName": [],
    "additionalType": {
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    "creator": "University of Oxford",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001600&lang=fr",
    "sameAs": "https://www.robots.ox.ac.uk/~vgg/data/vggsound/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001600",
        "kind": "Data and Evaluation",
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        "classification": "Vision / Multimodal Dataset",
        "organization": "University of Oxford",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2020",
        "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",
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            "updated_utc": "2026-06-16T23:59:28+00:00",
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        "tags": [
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                "date": "2020",
                "title": "Initial dataset release",
                "description": "VGGSound 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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        "relationships": [
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        "sources": [
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                "authority_basis": "curated-corpus-refresh-2026-09-08"
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}
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