P
ENT-00002382 · Dataset / Benchmark

PerAct

PerAct is a evaluation / robotics resource associated with PerAct project.

Level V — PersistentActiveDocumented
Human readable record

Overview

PerAct is a data or evaluation resource used in artificial intelligence research. It is associated with PerAct project and is documented as perceiver-based action model for robot manipulation.

Timeline

  1. 2022Public release or publication

    PerAct appears in public documentation or research records associated with PerAct project.

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 registry detail

Technical description

Structured dataset or benchmark record for PerAct. The technical layer identifies the resource category, originating organization, public source, evaluation context, related machine-learning tasks and registry-safe metadata.

Controlled tags

DatasetBenchmarkRoboticsEvaluation
Relationship graph
PerAct
CreatorPerAct authors

PerAct authors is documented as creator, contributor or originating team for PerAct.

Associated organizationPerAct project

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

ClassificationEvaluation / Robotics Resource

PerAct is classified as Evaluation / Robotics Resource.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002382",
    "name": "PerAct",
    "alternateName": [],
    "additionalType": "Dataset / Benchmark",
    "description": "PerAct is a evaluation / robotics resource associated with PerAct project.",
    "creator": "PerAct authors",
    "url": "entity.php?id=ENT-00002382",
    "sameAs": "https://peract.github.io",
    "lxkeysWorld": {
        "classification": "Evaluation / Robotics Resource",
        "organization": "PerAct project",
        "originContext": "AI data and evaluation infrastructure",
        "firstPublicAppearance": "2022",
        "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": [
            "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": "2022",
                "title": "Public release or publication",
                "description": "PerAct appears in public documentation or research records associated with PerAct project."
            }
        ],
        "relationships": [
            {
                "target": "PerAct authors",
                "type": "Creator",
                "description": "PerAct authors is documented as creator, contributor or originating team for PerAct.",
                "evidence_level": "documentary"
            },
            {
                "target": "PerAct project",
                "type": "Associated organization",
                "description": "PerAct project is the organization or institutional context associated with PerAct.",
                "evidence_level": "documentary"
            },
            {
                "target": "Evaluation / Robotics Resource",
                "type": "Classification",
                "description": "PerAct is classified as Evaluation / Robotics Resource.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://peract.github.io",
                "source_type": "Reference Source",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

Contribute to this record

Submit a proof, correction or comment. Public display is moderated. Every submission remains preserved in the export archive.

Submit proof or comment

Approved comments

No approved public comment yet.