DO
ENT-00001132 · Benchmark

DocVQA

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

Level IV ConnectedActiveDocumented
Human record

Overview

DocVQA is a documented document visual 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

  1. 2020Initial benchmark release

    DocVQA entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.

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 structured detail

Technical description

Structured reference record for DocVQA. 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

DocVQA

Open in full graph
DocVQA
Created or maintained byOutgoing
DocVQA authors

DocVQA is associated with DocVQA authors.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00001132",
    "name": "DocVQA",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "DocVQA is a AI benchmark associated with DocVQA authors, classified in LXKeys.world as AI Benchmark / Evaluation.",
    "creator": "DocVQA authors",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001132&lang=en",
    "sameAs": "https://www.docvqa.org/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001132",
        "kind": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "classification": "AI Benchmark / Evaluation",
        "organization": "DocVQA authors",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2020",
        "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": "2020",
                "title": "Initial benchmark release",
                "description": "DocVQA entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://www.docvqa.org/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "DocVQA authors",
                "type": "Created or maintained by",
                "description": "DocVQA is associated with DocVQA authors.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "DocVQA public reference",
                "url": "https://www.docvqa.org/",
                "source_type": "Primary or Research Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
Proofs

Contribute to this record

Submit a source, correction or comment. Public changes remain moderated.

Submit proof or comment

Approved comments

No approved public comment yet.