TR
ENT-00001096 · Dataset

TriviaQA

TriviaQA is a dataset associated with University of Washington, classified in LXKeys.world as AI Dataset.

Level IV ConnectedDocumentedDocumented
Human record

Overview

TriviaQA is a documented reading comprehension 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. 2017Initial dataset release

    TriviaQA entered the documented public record in 2017. 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 TriviaQA. 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

TriviaQA

Open in full graph
TriviaQA
Created or maintained byOutgoing
University of Washington

TriviaQA is associated with University of Washington.

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-00001096",
    "name": "TriviaQA",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "TriviaQA is a dataset associated with University of Washington, classified in LXKeys.world as AI Dataset.",
    "creator": "University of Washington",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001096&lang=en",
    "sameAs": "https://nlp.cs.washington.edu/triviaqa/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001096",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "AI Dataset",
        "organization": "University of Washington",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2017",
        "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": "2017",
                "title": "Initial dataset release",
                "description": "TriviaQA entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://nlp.cs.washington.edu/triviaqa/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "University of Washington",
                "type": "Created or maintained by",
                "description": "TriviaQA is associated with University of Washington.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "TriviaQA public reference",
                "url": "https://nlp.cs.washington.edu/triviaqa/",
                "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.