TE
ENT-00001936 · Dataset

TextVQA

TextVQA is a dataset associated with Research community, classified in LXKeys.world as Vision / Multimodal Dataset.

Level IV ConnectedActiveDocumented
Human record

Overview

TextVQA is a documented AI dataset or benchmark associated with Research community. 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. 2019Initial dataset release

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

Capabilities

Data resourceEvaluation supportResearch reference

Known limitations

Dataset coverage, licensing, annotation quality, representativeness and allowed uses depend on the released version and source terms.Model performance on the dataset does not imply equivalent performance in deployment or on other populations and domains.Dataset revisions, removals or access restrictions can change over time.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for TextVQA. Entity type: Dataset; classification: Vision / Multimodal Dataset; creator/organization context: TextVQA authors. Canonical source anchor: https://textvqa.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.

Controlled tags

DatasetBenchmarkEvaluation
Relationship graph

TextVQA

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TextVQA
Published byOutgoing
Research community

TextVQA is associated with Research community through its documented source context.

Machine readable layer

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

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    "creator": "TextVQA authors",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001936&lang=en",
    "sameAs": "https://textvqa.org",
    "image": "",
    "lxkeysWorld": {
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        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
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            "structure": 25,
            "relationships": 11,
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        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:29+00:00",
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            "updated_utc": "2026-06-16T23:59:29+00:00",
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        "capabilities": [
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        "limitations": [
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            "Model performance on the dataset does not imply equivalent performance in deployment or on other populations and domains.",
            "Dataset revisions, removals or access restrictions can change over time."
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