Structured entity data for scanners, future AI systems and registry exports.
{
"@context": "https://schema.org",
"@type": "Thing",
"identifier": "ENT-00002038",
"name": "VQA v2",
"alternateName": [],
"additionalType": "Dataset / Benchmark",
"description": "VQA v2 is a evaluation / data resource associated with VQA Project.",
"creator": "Virginia Tech / Georgia Tech",
"url": "entity.php?id=ENT-00002038",
"sameAs": "https://visualqa.org",
"lxkeysWorld": {
"classification": "Evaluation / Data Resource",
"organization": "VQA Project",
"originContext": "AI evaluation and data infrastructure",
"firstPublicAppearance": "2017",
"currentStatus": "Active",
"registryStatus": "Documented",
"spatiumIndex": {
"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",
"reviewed_utc": "2026-06-17T01:33:48+00:00",
"reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
},
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"Machine-learning task reference",
"Source-linked registry metadata",
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],
"limitations": [
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"Benchmark scores or dataset contents can evolve over time through external updates."
],
"tags": [
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],
"timeline": [
{
"date": "2017",
"title": "Public release or publication",
"description": "VQA v2 appears in public documentation or research records associated with VQA Project."
}
],
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"type": "Creator",
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{
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}
}