V
ENT-00001600 · AI Dataset

VGGSound

VGGSound is a audio-visual dataset associated with University of Oxford.

Level IV — ConnectedActiveDocumented
Human readable record

Overview

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.

Timeline

  1. 2020VGGSound public documentation anchor

    VGGSound appears in public documentation or stable reference sources as a audio-visual dataset associated with University of Oxford.

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 VGGSound. 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://www.robots.ox.ac.uk/~vgg/data/vggsound/.

Controlled tags

DatasetBenchmarkAI Infrastructure
Relationship graph
VGGSound
Published byUniversity of Oxford

VGGSound is associated with University of Oxford through its documented source context.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001600",
    "name": "VGGSound",
    "alternateName": [],
    "additionalType": "AI Dataset",
    "description": "VGGSound is a audio-visual dataset associated with University of Oxford.",
    "creator": "University of Oxford",
    "url": "entity.php?id=ENT-00001600",
    "sameAs": "https://www.robots.ox.ac.uk/~vgg/data/vggsound/",
    "lxkeysWorld": {
        "classification": "audio-visual dataset",
        "organization": "University of Oxford",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2020",
        "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": "2020",
                "title": "VGGSound public documentation anchor",
                "description": "VGGSound appears in public documentation or stable reference sources as a audio-visual dataset associated with University of Oxford."
            }
        ],
        "relationships": [
            {
                "target": "University of Oxford",
                "type": "Published by",
                "description": "VGGSound is associated with University of Oxford through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "VGGSound dataset page",
                "url": "https://www.robots.ox.ac.uk/~vgg/data/vggsound/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
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