CH
ENT-00001133 · Benchmark

ChartQA

ChartQA is a AI benchmark associated with ChartQA authors, classified in LXKeys.world as AI Benchmark / Evaluation.

Niveau IV ConnectéActifDocumenté
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Vue d’ensemble

ChartQA is a documented chart question answering benchmark used in artificial-intelligence research, evaluation or dataset construction. Its record captures the task context, public source, evaluation role and relationships to models, agents or research systems that rely on comparable measurements.

Chronologie

  1. 2022Initial benchmark release

    ChartQA entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Evaluation referenceComparable measurementResearch reproducibilityModel documentation support

Limites connues

Benchmark interpretation depends on task design, data quality and contamination controls.Scores should not be treated as a complete measure of intelligence.
Détail technique et structuré

Description technique

Structured reference record for ChartQA. The technical layer captures source URL, creator, first-public year, evaluation or dataset role, measurable task family and relationships to model testing, retrieval, safety, coding, reasoning or multimodal assessment.

Tags contrôlés

BenchmarkEvaluationDocumentationContemporaryBatch 03 Candidate
Graphe relationnel

ChartQA

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ChartQA
Créé ou maintenu parSortante
ChartQA authors

ChartQA is associated with ChartQA authors.

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-00001133",
    "name": "ChartQA",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "ChartQA is a AI benchmark associated with ChartQA authors, classified in LXKeys.world as AI Benchmark / Evaluation.",
    "creator": "ChartQA authors",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001133&lang=fr",
    "sameAs": "https://github.com/vis-nlp/ChartQA",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001133",
        "kind": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "classification": "AI Benchmark / Evaluation",
        "organization": "ChartQA authors",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2022",
        "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": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Evaluation reference",
            "Comparable measurement",
            "Research reproducibility",
            "Model documentation support"
        ],
        "limitations": [
            "Benchmark interpretation depends on task design, data quality and contamination controls.",
            "Scores should not be treated as a complete measure of intelligence."
        ],
        "tags": [
            "Benchmark",
            "Evaluation",
            "Documentation",
            "Contemporary",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2022",
                "title": "Initial benchmark release",
                "description": "ChartQA entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/vis-nlp/ChartQA",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "ChartQA authors",
                "type": "Created or maintained by",
                "description": "ChartQA is associated with ChartQA authors.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "ChartQA public reference",
                "url": "https://github.com/vis-nlp/ChartQA",
                "source_type": "Primary or Research 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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