ENT-00001133 · Evaluation System

ChartQA

ChartQA is a chart question answering benchmark associated with ChartQA authors.

Level IV — ConnectedActiveStructured

Human readable record

Overview

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.

Timeline

2022ChartQA public release or documentation
ChartQA appears in public documentation as a chart question answering benchmark associated with ChartQA authors.

Capabilities

Evaluation referenceComparable measurementResearch reproducibilityModel documentation support

Known limitations

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

Technical and registry detail

Technical description

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.

Controlled tags

BenchmarkEvaluationDocumentationContemporaryBatch 03 Candidate

Relationship graph

ChartQA

Created or maintained byChartQA authors

ChartQA is associated with ChartQA authors.

Machine readable layer

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

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    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001133",
    "name": "ChartQA",
    "alternateName": [],
    "additionalType": "Evaluation System",
    "description": "ChartQA is a chart question answering benchmark associated with ChartQA authors.",
    "creator": "ChartQA authors",
    "url": "entity.php?id=ENT-00001133",
    "sameAs": "https://github.com/vis-nlp/ChartQA",
    "lxkeysWorld": {
        "classification": "Chart question answering benchmark",
        "organization": "ChartQA authors",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2022",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+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",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "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": "ChartQA public release or documentation",
                "description": "ChartQA appears in public documentation as a chart question answering benchmark associated with ChartQA authors."
            }
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        "relationships": [
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                "type": "Created or maintained by",
                "description": "ChartQA is associated with ChartQA authors.",
                "evidence_level": "documentary"
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        ],
        "sources": [
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                "source_type": "Primary or Research Source",
                "verification_status": "verified"
            }
        ]
    }
}

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