BR
ENT-00002363 · Jeu de données

Brax

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

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

Brax is a data or evaluation resource used in artificial intelligence research. It is associated with Google and is documented as differentiable physics engine for reinforcement learning.

Chronologie

  1. 2021Initial dataset release

    Brax entered the documented public record in 2021. 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 Brax. Entity type: Dataset; classification: Robotics / RL Dataset; creator/organization context: Google Research. Canonical source anchor: https://github.com/google/brax. 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

DatasetBenchmarkRoboticsEvaluation
Graphe relationnel

Brax

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Brax
CréateurSortante
Google Research

Google Research is documented as creator, contributor or originating team for Brax.

Organisation associéeSortante
Google

Google is the organization or institutional context associated with Brax.

ClassificationSortante
Evaluation / Robotics Resource

Brax is classified as Evaluation / Robotics 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-00002363",
    "name": "Brax",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "Brax is a dataset associated with Google, classified in LXKeys.world as Robotics / RL Dataset.",
    "creator": "Google Research",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002363&lang=fr",
    "sameAs": "https://github.com/google/brax",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002363",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Robotics / RL Dataset",
        "organization": "Google",
        "originContext": "AI data and evaluation infrastructure",
        "firstPublicAppearance": "2021",
        "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": "2021",
                "title": "Initial dataset release",
                "description": "Brax entered the documented public record in 2021. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/google/brax",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Google Research",
                "type": "Creator",
                "description": "Google Research is documented as creator, contributor or originating team for Brax.",
                "evidence_level": "documentary"
            },
            {
                "target": "Google",
                "type": "Associated organization",
                "description": "Google is the organization or institutional context associated with Brax.",
                "evidence_level": "documentary"
            },
            {
                "target": "Evaluation / Robotics Resource",
                "type": "Classification",
                "description": "Brax is classified as Evaluation / Robotics Resource.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://github.com/google/brax",
                "source_type": "Reference Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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