ENT-00002969 · Dataset

DSTC2

DSTC2 is a language dataset / benchmark associated with Dialogue State Tracking Challenge.

Level V — PersistentActiveDocumented

Human readable record

Overview

DSTC2 is a documented language dataset or benchmark. It is recorded as dialogue state tracking dataset, supporting evaluation or training for question answering, reasoning, dialogue, classification, translation or multilingual language understanding.

Timeline

2014Public release or documentation
DSTC2 appears in public documentation, project records, benchmark descriptions or research references associated with Dialogue State Tracking Challenge.

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 DSTC2. 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

DSTC2

Associated organizationDialogue State Tracking Challenge

Dialogue State Tracking Challenge is the organization, project community or institutional context associated with DSTC2.

Domain contextLanguage model evaluation and NLP data

DSTC2 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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    "identifier": "ENT-00002969",
    "name": "DSTC2",
    "alternateName": [],
    "additionalType": "Dataset",
    "description": "DSTC2 is a language dataset / benchmark associated with Dialogue State Tracking Challenge.",
    "creator": "Dialogue State Tracking Challenge",
    "url": "entity.php?id=ENT-00002969",
    "sameAs": "https://github.com/matthen/dstc",
    "lxkeysWorld": {
        "classification": "Language Dataset / Benchmark",
        "organization": "Dialogue State Tracking Challenge",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2014",
        "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"
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        "timeline": [
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            }
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        "relationships": [
            {
                "target": "Dialogue State Tracking Challenge",
                "type": "Associated organization",
                "description": "Dialogue State Tracking Challenge is the organization, project community or institutional context associated with DSTC2.",
                "evidence_level": "documentary"
            },
            {
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                "type": "Domain context",
                "description": "DSTC2 belongs to the Language model evaluation and NLP data layer of the intelligent-entity registry.",
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        "sources": [
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                "verification_status": "verified"
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        ]
    }
}

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