ENT-00001707 · AI Dataset

Kinetics-400

Kinetics-400 is a human action video dataset associated with Google DeepMind.

Level IV — ConnectedActiveDocumented

Human readable record

Overview

Kinetics-400 is a documented AI dataset or benchmark associated with Google DeepMind. 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

2017Kinetics-400 public documentation anchor
Kinetics-400 appears in public documentation or stable reference sources as a human action video dataset associated with Google DeepMind.

Capabilities

Data resourceEvaluation supportResearch 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 Kinetics-400. 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.deepmind.com/open-source/kinetics.

Controlled tags

DatasetBenchmarkEvaluation

Relationship graph

Kinetics-400

Published byGoogle DeepMind

Kinetics-400 is associated with Google DeepMind 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",
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    "identifier": "ENT-00001707",
    "name": "Kinetics-400",
    "alternateName": [],
    "additionalType": "AI Dataset",
    "description": "Kinetics-400 is a human action video dataset associated with Google DeepMind.",
    "creator": "DeepMind",
    "url": "entity.php?id=ENT-00001707",
    "sameAs": "https://www.deepmind.com/open-source/kinetics",
    "lxkeysWorld": {
        "classification": "human action video dataset",
        "organization": "Google DeepMind",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2017",
        "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 resource",
            "Evaluation support",
            "Research 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",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2017",
                "title": "Kinetics-400 public documentation anchor",
                "description": "Kinetics-400 appears in public documentation or stable reference sources as a human action video dataset associated with Google DeepMind."
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        ],
        "sources": [
            {
                "label": "Official dataset or benchmark reference",
                "url": "https://www.deepmind.com/open-source/kinetics",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}

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