CO
ENT-00002938 · Dataset

CoQA

CoQA is a dataset associated with Stanford NLP, classified in LXKeys.world as Language / Training Dataset.

Level V PersistentActiveDocumented
Human 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

  1. 2018Initial dataset release

    CoQA entered the documented public record in 2018. This event is retained at the precision supported by the Entry’s reviewed source history.

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 structured detail

Technical description

Structured LXKeys.world registry record for CoQA. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: Stanford NLP. Canonical source anchor: https://stanfordnlp.github.io/coqa/. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Controlled tags

DatasetNLPBenchmarkLanguage Understanding
Relationship graph

CoQA

Open in full graph
CoQA
Associated organizationOutgoing
Stanford NLP

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

Domain contextOutgoing
Language 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 entry data for human tools, AI systems and machine clients.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002938",
    "name": "CoQA",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "CoQA is a dataset associated with Stanford NLP, classified in LXKeys.world as Language / Training Dataset.",
    "creator": "Stanford NLP",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002938&lang=en",
    "sameAs": "https://stanfordnlp.github.io/coqa/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002938",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Language / Training Dataset",
        "organization": "Stanford NLP",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2018",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "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"
        },
        "facts": [],
        "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": "Initial dataset release",
                "description": "CoQA entered the documented public record in 2018. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://stanfordnlp.github.io/coqa/",
                "verification_status": "source_backed_official"
            }
        ],
        "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",
                "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.