ENT-00002973 · Dataset

CLINC150

CLINC150 is a language dataset / benchmark associated with CLINC / University of Michigan.

Level V — PersistentActiveDocumented

Human readable record

Overview

CLINC150 is a documented language dataset or benchmark. It is recorded as intent classification dataset, supporting evaluation or training for question answering, reasoning, dialogue, classification, translation or multilingual language understanding.

Timeline

2019Public release or documentation
CLINC150 appears in public documentation, project records, benchmark descriptions or research references associated with CLINC / University of Michigan.

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 CLINC150. 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

CLINC150

Associated organizationCLINC / University of Michigan

CLINC / University of Michigan is the organization, project community or institutional context associated with CLINC150.

Domain contextLanguage model evaluation and NLP data

CLINC150 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.

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    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002973",
    "name": "CLINC150",
    "alternateName": [],
    "additionalType": "Dataset",
    "description": "CLINC150 is a language dataset / benchmark associated with CLINC / University of Michigan.",
    "creator": "CLINC / University of Michigan",
    "url": "entity.php?id=ENT-00002973",
    "sameAs": "https://github.com/clinc/oos-eval",
    "lxkeysWorld": {
        "classification": "Language Dataset / Benchmark",
        "organization": "CLINC / University of Michigan",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2019",
        "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": "2019",
                "title": "Public release or documentation",
                "description": "CLINC150 appears in public documentation, project records, benchmark descriptions or research references associated with CLINC / University of Michigan."
            }
        ],
        "relationships": [
            {
                "target": "CLINC / University of Michigan",
                "type": "Associated organization",
                "description": "CLINC / University of Michigan is the organization, project community or institutional context associated with CLINC150.",
                "evidence_level": "documentary"
            },
            {
                "target": "Language model evaluation and NLP data",
                "type": "Domain context",
                "description": "CLINC150 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://github.com/clinc/oos-eval",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified"
            }
        ]
    }
}

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