BO
ENT-00001519 · Dataset

BoolQ

BoolQ is a dataset associated with Google, classified in LXKeys.world as Language / Training Dataset.

Level IV ConnectedActiveDocumented
Human record

Overview

BoolQ is a documented AI dataset or benchmark associated with Google. 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

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

Capabilities

Evaluation referenceDataset recordResearch infrastructure

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 BoolQ. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Google AI Language. Canonical source anchor: https://github.com/google-research-datasets/boolean-questions. 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

BenchmarkDatasetEvaluation
Relationship graph

BoolQ

Open in full graph
BoolQ
Published byOutgoing
Google

BoolQ is associated with Google through its documented source context.

Machine readable layer

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

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    "name": "BoolQ",
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    "creator": "Google AI Language",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001519&lang=en",
    "sameAs": "https://github.com/google-research-datasets/boolean-questions",
    "image": "",
    "lxkeysWorld": {
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        "classification": "Language / Training Dataset",
        "organization": "Google",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
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            "documentation": 25,
            "evidence": 13,
            "structure": 25,
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            "level": "Level IV Connected"
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        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
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            "updated_utc": "2026-06-16T23:59:28+00:00",
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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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                "date": "2019",
                "title": "Initial dataset release",
                "description": "BoolQ entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/google-research-datasets/boolean-questions",
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