NQ
ENT-00001095 · Dataset

Natural Questions

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

Level IV ConnectedDocumentedDocumented
Human record

Overview

Natural Questions is a documented real-user question answering dataset 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. 2019Initial dataset release

    Natural Questions entered the documented public record in 2019. 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 Natural Questions. 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

DatasetEvaluationDocumentationEstablishedBatch 03 Candidate
Relationship graph

Natural Questions

Open in full graph
Natural Questions
Created or maintained byOutgoing
Google Research

Natural Questions is associated with Google Research.

Machine readable layer

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

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        }
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    "@type": "Thing",
    "identifier": "ENT-00001095",
    "name": "Natural Questions",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "Natural Questions is a dataset associated with Google Research, classified in LXKeys.world as Language / Training Dataset.",
    "creator": "Google Research",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001095&lang=en",
    "sameAs": "https://ai.google.com/research/NaturalQuestions",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001095",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Language / Training Dataset",
        "organization": "Google Research",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Documented",
        "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": [
            "Dataset",
            "Evaluation",
            "Documentation",
            "Established",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "Initial dataset release",
                "description": "Natural Questions 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://ai.google.com/research/NaturalQuestions",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Google Research",
                "type": "Created or maintained by",
                "description": "Natural Questions is associated with Google Research.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Natural Questions public reference",
                "url": "https://ai.google.com/research/NaturalQuestions",
                "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": []
    }
}
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