ENT-00001131 · Benchmark

GQA

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

Level IV ConnectedDocumentedDocumented

Human record

Overview

GQA is a documented visual reasoning 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

2019Initial benchmark release
GQA 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 GQA. 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

BenchmarkEvaluationDocumentationEstablishedBatch 03 Candidate

Relationship graph

GQA

Open in full graph

GQA

Created or maintained byOutgoing

Stanford / GQA authors

GQA is associated with Stanford / GQA authors.

Machine readable layer

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

JSON API Graph JSON

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    "sameAs": "https://cs.stanford.edu/people/dorarad/gqa/",
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        "organization": "Stanford / GQA authors",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Documented",
        "documentationStatus": "Documented",
        "documentationIndex": {
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            "documentation": 25,
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        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
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            "updated_utc": "2026-06-16T23:59:14+00:00",
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GQA