ENT-00002938 · Dataset

CoQA

CoQA is a language dataset / benchmark associated with Stanford NLP.

Level V — PersistentActiveDocumented

Human readable record

Overview

CoQA is a documented language dataset or benchmark. It is recorded as conversational question answering dataset, supporting evaluation or training for question answering, reasoning, dialogue, classification, translation or multilingual language understanding.

Timeline

2018Public release or documentation
CoQA appears in public documentation, project records, benchmark descriptions or research references associated with Stanford NLP.

Capabilities

Dataset referenceBenchmark or training-data contextTask-level documentationModel evaluation supportSource-based traceability

Known limitations

Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone.

Technical and registry detail

Technical description

Structured record for CoQA. The technical layer identifies the entity type, classification, creator or organization, official source anchor, capabilities, limitations, timeline entries and graph relationships without adding internal import events to the public history.

Controlled tags

DatasetNLPBenchmarkLanguage Understanding

Relationship graph

CoQA

Associated organizationStanford NLP

Stanford NLP is the organization, project community or institutional context associated with CoQA.

Domain contextLanguage model evaluation and NLP data

CoQA belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002938",
    "name": "CoQA",
    "alternateName": [],
    "additionalType": "Dataset",
    "description": "CoQA is a language dataset / benchmark associated with Stanford NLP.",
    "creator": "Stanford NLP",
    "url": "entity.php?id=ENT-00002938",
    "sameAs": "https://stanfordnlp.github.io/coqa/",
    "lxkeysWorld": {
        "classification": "Language Dataset / Benchmark",
        "organization": "Stanford NLP",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2018",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V — Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:48:33+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:48:33+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "reviewed_utc": "2026-06-17T01:48:33+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "capabilities": [
            "Dataset reference",
            "Benchmark or training-data context",
            "Task-level documentation",
            "Model evaluation support",
            "Source-based traceability"
        ],
        "limitations": [
            "Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.",
            "Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone."
        ],
        "tags": [
            "Dataset",
            "NLP",
            "Benchmark",
            "Language Understanding"
        ],
        "timeline": [
            {
                "date": "2018",
                "title": "Public release or documentation",
                "description": "CoQA appears in public documentation, project records, benchmark descriptions or research references associated with Stanford NLP."
            }
        ],
        "relationships": [
            {
                "target": "Stanford NLP",
                "type": "Associated organization",
                "description": "Stanford NLP is the organization, project community or institutional context associated with CoQA.",
                "evidence_level": "documentary"
            },
            {
                "target": "Language model evaluation and NLP data",
                "type": "Domain context",
                "description": "CoQA belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official or reference source",
                "url": "https://stanfordnlp.github.io/coqa/",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified"
            }
        ]
    }
}

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