OK
ENT-00002039 · Jeu de données

OK-VQA

OK-VQA is a dataset associated with AI2, classified in LXKeys.world as AI Dataset.

Niveau V PersistantActifDocumenté
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Vue d’ensemble

OK-VQA is a data or evaluation resource used in artificial intelligence research. It is associated with AI2 and is documented as open-domain visual question answering benchmark.

Chronologie

  1. 2019Initial dataset release

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

Capacités

Evaluation resource for AI systemsDataset or benchmark documentationMachine-learning task referenceSource-linked registry metadataRelationship graph compatibility

Limites connues

Coverage and licensing should be interpreted through the linked source record.Benchmark scores or dataset contents can evolve over time through external updates.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for OK-VQA. Entity type: Dataset; classification: AI Dataset; creator/organization context: Allen Institute for AI. Canonical source anchor: https://okvqa.allenai.org. 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

DatasetBenchmarkEvaluationData Resource
Graphe relationnel

OK-VQA

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OK-VQA
CréateurSortante
Allen Institute for AI

Allen Institute for AI is documented as creator, contributor or originating team for OK-VQA.

Organisation associéeSortante
AI2

AI2 is the organization or institutional context associated with OK-VQA.

ClassificationSortante
Evaluation / Data Resource

OK-VQA is classified as Evaluation / Data Resource.

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-00002039",
    "name": "OK-VQA",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "OK-VQA is a dataset associated with AI2, classified in LXKeys.world as AI Dataset.",
    "creator": "Allen Institute for AI",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002039&lang=fr",
    "sameAs": "https://okvqa.allenai.org",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002039",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "AI Dataset",
        "organization": "AI2",
        "originContext": "AI evaluation and data infrastructure",
        "firstPublicAppearance": "2019",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "Evaluation resource for AI systems",
            "Dataset or benchmark documentation",
            "Machine-learning task reference",
            "Source-linked registry metadata",
            "Relationship graph compatibility"
        ],
        "limitations": [
            "Coverage and licensing should be interpreted through the linked source record.",
            "Benchmark scores or dataset contents can evolve over time through external updates."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Evaluation",
            "Data Resource"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "Initial dataset release",
                "description": "OK-VQA 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://okvqa.allenai.org",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Allen Institute for AI",
                "type": "Creator",
                "description": "Allen Institute for AI is documented as creator, contributor or originating team for OK-VQA.",
                "evidence_level": "documentary",
                "target_id": "ENT-00000728"
            },
            {
                "target": "AI2",
                "type": "Associated organization",
                "description": "AI2 is the organization or institutional context associated with OK-VQA.",
                "evidence_level": "documentary"
            },
            {
                "target": "Evaluation / Data Resource",
                "type": "Classification",
                "description": "OK-VQA is classified as Evaluation / Data Resource.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://okvqa.allenai.org",
                "source_type": "Reference Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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