ENT-00002946 · Dataset

ReClor

ReClor is a language dataset / benchmark associated with ReClor contributors.

Level V — PersistentActiveDocumented

Human readable record

Overview

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.

Timeline

2020Public release or documentation
ReClor appears in public documentation, project records, benchmark descriptions or research references associated with ReClor contributors.

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 ReClor. 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

ReClor

Associated organizationReClor contributors

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

Domain contextLanguage model evaluation and NLP data

ReClor 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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    "@type": "Thing",
    "identifier": "ENT-00002946",
    "name": "ReClor",
    "alternateName": [],
    "additionalType": "Dataset",
    "description": "ReClor is a language dataset / benchmark associated with ReClor contributors.",
    "creator": "ReClor contributors",
    "url": "entity.php?id=ENT-00002946",
    "sameAs": "https://github.com/yuweihao/reclor",
    "lxkeysWorld": {
        "classification": "Language Dataset / Benchmark",
        "organization": "ReClor contributors",
        "originContext": "Language model evaluation and NLP data",
        "firstPublicAppearance": "2020",
        "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": [
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                "title": "Public release or documentation",
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        ],
        "relationships": [
            {
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                "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"
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        ],
        "sources": [
            {
                "label": "Official or reference source",
                "url": "https://github.com/yuweihao/reclor",
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                "verification_status": "verified"
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        ]
    }
}

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