A
ENT-00001930 · AI Benchmark

ARC-AGI

ARC-AGI is a abstraction and reasoning benchmark associated with ARC Prize Foundation.

Level IV — ConnectedActiveDocumented
Human readable record

Overview

ARC-AGI is a documented AI dataset or benchmark associated with ARC Prize Foundation. The record identifies its role in evaluation, training, measurement or comparison of intelligent systems, with emphasis on the source context and the type of capability it helps assess.

Timeline

  1. 2019ARC-AGI public documentation anchor

    ARC-AGI appears in public documentation or stable reference sources as a abstraction and reasoning benchmark associated with ARC Prize Foundation.

Capabilities

Data resourceEvaluation supportResearch reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.
Technical and registry detail

Technical description

Structured record for ARC-AGI. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://arcprize.org/.

Controlled tags

DatasetBenchmarkEvaluation
Relationship graph
ARC-AGI
Published byARC Prize Foundation

ARC-AGI is associated with ARC Prize Foundation through its documented source context.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001930",
    "name": "ARC-AGI",
    "alternateName": [],
    "additionalType": "AI Benchmark",
    "description": "ARC-AGI is a abstraction and reasoning benchmark associated with ARC Prize Foundation.",
    "creator": "François Chollet",
    "url": "entity.php?id=ENT-00001930",
    "sameAs": "https://arcprize.org/",
    "lxkeysWorld": {
        "classification": "abstraction and reasoning benchmark",
        "organization": "ARC Prize Foundation",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:29+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:29+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:29+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Data resource",
            "Evaluation support",
            "Research reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "ARC-AGI public documentation anchor",
                "description": "ARC-AGI appears in public documentation or stable reference sources as a abstraction and reasoning benchmark associated with ARC Prize Foundation."
            }
        ],
        "relationships": [
            {
                "target": "ARC Prize Foundation",
                "type": "Published by",
                "description": "ARC-AGI is associated with ARC Prize Foundation through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "ARC Prize site",
                "url": "https://arcprize.org/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
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