AR
ENT-00001930 · Benchmark

ARC-AGI

ARC-AGI is a AI benchmark associated with ARC Prize Foundation, classified in LXKeys.world as AI Benchmark / Evaluation.

Niveau IV ConnectéActifDocumenté
Fiche publique

Vue d’ensemble

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.

Chronologie

  1. 2019Initial benchmark release

    ARC-AGI entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Data resourceEvaluation supportResearch reference

Limites connues

Benchmark scores depend on the exact dataset version, prompt or evaluation protocol, scoring implementation and contamination controls.Leaderboard performance should not be treated as a complete measure of real-world capability or safety.Benchmark relevance can decline as models, data and evaluation practices evolve.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for ARC-AGI. Entity type: Benchmark; classification: AI Benchmark / Evaluation; creator/organization context: François Chollet. Canonical source anchor: https://arcprize.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.

Tags contrôlés

DatasetBenchmarkEvaluation
Graphe relationnel

ARC-AGI

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ARC-AGI
Publié parSortante
ARC Prize Foundation

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

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

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    "@type": "Thing",
    "identifier": "ENT-00001930",
    "name": "ARC-AGI",
    "alternateName": [],
    "additionalType": {
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    "creator": "François Chollet",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001930&lang=fr",
    "sameAs": "https://arcprize.org/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001930",
        "kind": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "classification": "AI Benchmark / Evaluation",
        "organization": "ARC Prize Foundation",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "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"
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        "facts": [],
        "capabilities": [
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            "Evaluation support",
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        "limitations": [
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            "Leaderboard performance should not be treated as a complete measure of real-world capability or safety.",
            "Benchmark relevance can decline as models, data and evaluation practices evolve."
        ],
        "tags": [
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            "Evaluation"
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                "date": "2019",
                "title": "Initial benchmark release",
                "description": "ARC-AGI entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.",
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        "relationships": [
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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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