Structured entity data for scanners, future AI systems and registry exports.
{
"@context": "https://schema.org",
"@type": "Thing",
"identifier": "ENT-00002369",
"name": "EmbodiedQA",
"alternateName": [],
"additionalType": "Dataset / Benchmark",
"description": "EmbodiedQA is a evaluation / robotics resource associated with EmbodiedQA project.",
"creator": "Georgia Tech / Meta AI",
"url": "entity.php?id=ENT-00002369",
"sameAs": "https://embodiedqa.org",
"lxkeysWorld": {
"classification": "Evaluation / Robotics Resource",
"organization": "EmbodiedQA project",
"originContext": "AI data and evaluation infrastructure",
"firstPublicAppearance": "2018",
"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"
},
"capabilities": [
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"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": [
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"Benchmark",
"Robotics",
"Evaluation"
],
"timeline": [
{
"date": "2018",
"title": "Public release or publication",
"description": "EmbodiedQA appears in public documentation or research records associated with EmbodiedQA project."
}
],
"relationships": [
{
"target": "Georgia Tech / Meta AI",
"type": "Creator",
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},
{
"target": "EmbodiedQA project",
"type": "Associated organization",
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},
{
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"type": "Classification",
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}
],
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}
]
}
}