ENT-00001100 · Evaluation System

CommonsenseQA

CommonsenseQA is a commonsense question answering benchmark associated with Allen Institute for AI.

Level IV — ConnectedDocumentedStructured

Human readable record

Overview

CommonsenseQA is a documented commonsense question answering 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

2019CommonsenseQA public release or documentation
CommonsenseQA appears in public documentation as a commonsense question answering benchmark associated with Allen Institute for AI.

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 registry detail

Technical description

Structured reference record for CommonsenseQA. 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

CommonsenseQA

Created or maintained byAllen Institute for AI

CommonsenseQA is associated with Allen Institute for AI.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

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    "name": "CommonsenseQA",
    "alternateName": [],
    "additionalType": "Evaluation System",
    "description": "CommonsenseQA is a commonsense question answering benchmark associated with Allen Institute for AI.",
    "creator": "Allen Institute for AI",
    "url": "entity.php?id=ENT-00001100",
    "sameAs": "https://www.tau-nlp.sites.tau.ac.il/commonsenseqa",
    "lxkeysWorld": {
        "classification": "Commonsense question answering benchmark",
        "organization": "Allen Institute for AI",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Documented",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "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",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "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": [
            "Benchmark",
            "Evaluation",
            "Documentation",
            "Established",
            "Batch 03 Candidate"
        ],
        "timeline": [
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        ],
        "sources": [
            {
                "label": "CommonsenseQA public reference",
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                "source_type": "Primary or Research Source",
                "verification_status": "verified"
            }
        ]
    }
}

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