RV
ENT-00002370 · Dataset

R2R Vision-and-Language Navigation

R2R Vision-and-Language Navigation is a dataset associated with Georgia Tech, classified in LXKeys.world as Vision / Multimodal Dataset.

Level V PersistentActiveDocumented
Human record

Overview

R2R Vision-and-Language Navigation is a data or evaluation resource used in artificial intelligence research. It is associated with Georgia Tech and is documented as vision-and-language navigation dataset.

Timeline

  1. 2018Initial dataset release

    R2R Vision-and-Language Navigation 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 R2R Vision-and-Language Navigation. Entity type: Dataset; classification: Vision / Multimodal Dataset; creator/organization context: Georgia Tech. Canonical source anchor: https://bringmeaspoon.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

R2R Vision-and-Language Navigation

Open in full graph
R2R Vision-and-Language Navigation
Associated organizationOutgoing
Georgia Tech

Georgia Tech is the organization or institutional context associated with R2R Vision-and-Language Navigation.

ClassificationOutgoing
Evaluation / Robotics Resource

R2R Vision-and-Language Navigation 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-00002370",
    "name": "R2R Vision-and-Language Navigation",
    "alternateName": [],
    "additionalType": {
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        "subtype": "",
        "lxkeysEntity": false
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    "description": "R2R Vision-and-Language Navigation is a dataset associated with Georgia Tech, classified in LXKeys.world as Vision / Multimodal Dataset.",
    "creator": "Georgia Tech",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002370&lang=en",
    "sameAs": "https://bringmeaspoon.org",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002370",
        "kind": "Data and Evaluation",
        "type": "Dataset",
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        "classification": "Vision / Multimodal Dataset",
        "organization": "Georgia Tech",
        "originContext": "AI data and evaluation infrastructure",
        "firstPublicAppearance": "2018",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "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"
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        "facts": [],
        "capabilities": [
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            "Dataset or benchmark documentation",
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            "Source-linked registry metadata",
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        "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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            "Robotics",
            "Evaluation"
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        "timeline": [
            {
                "date": "2018",
                "title": "Initial dataset release",
                "description": "R2R Vision-and-Language Navigation entered the documented public record in 2018. This event is retained at the precision supported by the Entry’s reviewed source history.",
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                "verification_status": "source_backed_official"
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        ],
        "relationships": [
            {
                "target": "Georgia Tech",
                "type": "Associated organization",
                "description": "Georgia Tech is the organization or institutional context associated with R2R Vision-and-Language Navigation.",
                "evidence_level": "documentary"
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            {
                "target": "Evaluation / Robotics Resource",
                "type": "Classification",
                "description": "R2R Vision-and-Language Navigation is classified as Evaluation / Robotics Resource.",
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        "sources": [
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                "authority_basis": "curated-corpus-refresh-2026-09-08"
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}
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