RE
ENT-00002946 · Jeu de données

ReClor

ReClor is a dataset associated with ReClor contributors, classified in LXKeys.world as Language / Training Dataset.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

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

Chronologie

  1. 2020Initial dataset release

    ReClor entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

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

Limites connues

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.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for ReClor. Entity type: Dataset; classification: Language / Training Dataset; creator/organization context: ReClor contributors. Canonical source anchor: https://github.com/yuweihao/reclor. 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.

Tags contrôlés

DatasetNLPBenchmarkLanguage Understanding
Graphe relationnel

ReClor

Ouvrir dans le graphe complet
ReClor
Organisation associéeSortante
ReClor contributors

ReClor contributors is the organization, project community or institutional context associated with ReClor.

Contexte de domaineSortante
Language model evaluation and NLP data

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

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
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        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002946",
    "name": "ReClor",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "ReClor is a dataset associated with ReClor contributors, classified in LXKeys.world as Language / Training Dataset.",
    "creator": "ReClor contributors",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002946&lang=fr",
    "sameAs": "https://github.com/yuweihao/reclor",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002946",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Language / Training Dataset",
        "organization": "ReClor contributors",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2020",
        "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": "2020",
                "title": "Initial dataset release",
                "description": "ReClor entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/yuweihao/reclor",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "ReClor contributors",
                "type": "Associated organization",
                "description": "ReClor contributors is the organization, project community or institutional context associated with ReClor.",
                "evidence_level": "documentary"
            },
            {
                "target": "Language model evaluation and NLP data",
                "type": "Domain context",
                "description": "ReClor 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/yuweihao/reclor",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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