EM
ENT-00002369 · Dataset

EmbodiedQA

EmbodiedQA is a dataset associated with EmbodiedQA project, classified in LXKeys.world as Robotics / RL Dataset.

Level V PersistentActiveDocumented
Human record

Overview

EmbodiedQA is a data or evaluation resource used in artificial intelligence research. It is associated with EmbodiedQA project and is documented as embodied question answering benchmark.

Timeline

  1. 2018Initial dataset release

    EmbodiedQA entered the documented public record in 2018. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

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

Known limitations

Coverage and licensing should be interpreted through the linked source record.Benchmark scores or dataset contents can evolve over time through external updates.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for EmbodiedQA. Entity type: Dataset; classification: Robotics / RL Dataset; creator/organization context: Georgia Tech / Meta AI. Canonical source anchor: https://embodiedqa.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.

Controlled tags

DatasetBenchmarkRoboticsEvaluation
Relationship graph

EmbodiedQA

Open in full graph
EmbodiedQA
CreatorOutgoing
Georgia Tech / Meta AI

Georgia Tech / Meta AI is documented as creator, contributor or originating team for EmbodiedQA.

Associated organizationOutgoing
EmbodiedQA project

EmbodiedQA project is the organization or institutional context associated with EmbodiedQA.

ClassificationOutgoing
Evaluation / Robotics Resource

EmbodiedQA is classified as Evaluation / Robotics Resource.

Machine readable layer

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

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        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002369",
    "name": "EmbodiedQA",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "EmbodiedQA is a dataset associated with EmbodiedQA project, classified in LXKeys.world as Robotics / RL Dataset.",
    "creator": "Georgia Tech / Meta AI",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002369&lang=en",
    "sameAs": "https://embodiedqa.org",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002369",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Robotics / RL Dataset",
        "organization": "EmbodiedQA project",
        "originContext": "AI data and evaluation infrastructure",
        "firstPublicAppearance": "2018",
        "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",
            "Robotics",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2018",
                "title": "Initial dataset release",
                "description": "EmbodiedQA entered the documented public record in 2018. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://embodiedqa.org",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Georgia Tech / Meta AI",
                "type": "Creator",
                "description": "Georgia Tech / Meta AI is documented as creator, contributor or originating team for EmbodiedQA.",
                "evidence_level": "documentary"
            },
            {
                "target": "EmbodiedQA project",
                "type": "Associated organization",
                "description": "EmbodiedQA project is the organization or institutional context associated with EmbodiedQA.",
                "evidence_level": "documentary"
            },
            {
                "target": "Evaluation / Robotics Resource",
                "type": "Classification",
                "description": "EmbodiedQA is classified as Evaluation / Robotics Resource.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://embodiedqa.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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