R
ENT-00001687 · AI Dataset

ReCoRD

ReCoRD is a reading comprehension dataset associated with Allen Institute for AI.

Level IV — ConnectedActiveDocumented
Human readable record

Overview

ReCoRD is a documented AI dataset or benchmark associated with Allen Institute for AI. The record identifies its role in evaluation, training, measurement or comparison of intelligent systems, with emphasis on the source context and the type of capability it helps assess.

Timeline

  1. 2018ReCoRD public documentation anchor

    ReCoRD appears in public documentation or stable reference sources as a reading comprehension dataset associated with Allen Institute for AI.

Capabilities

Data resourceEvaluation supportResearch reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.
Technical and registry detail

Technical description

Structured record for ReCoRD. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://sheng-z.github.io/ReCoRD-explorer/.

Controlled tags

DatasetBenchmarkEvaluation
Relationship graph
ReCoRD
Published byAllen Institute for AI

ReCoRD is associated with Allen Institute for AI through its documented source context.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

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    "identifier": "ENT-00001687",
    "name": "ReCoRD",
    "alternateName": [],
    "additionalType": "AI Dataset",
    "description": "ReCoRD is a reading comprehension dataset associated with Allen Institute for AI.",
    "creator": "Allen Institute for AI",
    "url": "entity.php?id=ENT-00001687",
    "sameAs": "https://sheng-z.github.io/ReCoRD-explorer/",
    "lxkeysWorld": {
        "classification": "reading comprehension dataset",
        "organization": "Allen Institute for AI",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2018",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Data resource",
            "Evaluation support",
            "Research reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2018",
                "title": "ReCoRD public documentation anchor",
                "description": "ReCoRD appears in public documentation or stable reference sources as a reading comprehension dataset associated with Allen Institute for AI."
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        "relationships": [
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                "type": "Published by",
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        ],
        "sources": [
            {
                "label": "Official dataset or benchmark reference",
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                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
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