VG
ENT-00001600 · Dataset

VGGSound

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

Level IV ConnectedActiveDocumented
Human 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. 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.

Capabilities

Data recordEvaluationTechnical reference

Known 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.
Technical and structured detail

Technical description

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.

Controlled tags

DatasetBenchmarkAI Infrastructure
Relationship graph

VGGSound

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VGGSound
Published byOutgoing
University of Oxford

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

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

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    "name": "VGGSound",
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    "creator": "University of Oxford",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001600&lang=en",
    "sameAs": "https://www.robots.ox.ac.uk/~vgg/data/vggsound/",
    "image": "",
    "lxkeysWorld": {
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        "organization": "University of Oxford",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
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            "documentation": 25,
            "evidence": 13,
            "structure": 25,
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        },
        "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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        "limitations": [
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            "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."
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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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