D
ENT-00001098 · Dataset

DROP

DROP is a discrete reasoning over paragraphs associated with Allen Institute for AI.

Level IV — ConnectedDocumentedStructured
Human readable record

Overview

DROP is a documented discrete reasoning over paragraphs used in artificial-intelligence research, evaluation or dataset construction. Its record captures the task context, public source, evaluation role and relationships to models, agents or research systems that rely on comparable measurements.

Timeline

  1. 2019DROP public release or documentation

    DROP appears in public documentation as a discrete reasoning over paragraphs associated with Allen Institute for AI.

Capabilities

Evaluation referenceComparable measurementResearch reproducibilityModel documentation support

Known limitations

Benchmark interpretation depends on task design, data quality and contamination controls.Scores should not be treated as a complete measure of intelligence.
Technical and registry detail

Technical description

Structured reference record for DROP. The technical layer captures source URL, creator, first-public year, evaluation or dataset role, measurable task family and relationships to model testing, retrieval, safety, coding, reasoning or multimodal assessment.

Controlled tags

DatasetEvaluationDocumentationEstablishedBatch 03 Candidate
Relationship graph
DROP
Created or maintained byAllen Institute for AI

DROP is associated with Allen Institute for AI.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001098",
    "name": "DROP",
    "alternateName": [],
    "additionalType": "Dataset",
    "description": "DROP is a discrete reasoning over paragraphs associated with Allen Institute for AI.",
    "creator": "Allen Institute for AI",
    "url": "entity.php?id=ENT-00001098",
    "sameAs": "https://allenai.org/data/drop",
    "lxkeysWorld": {
        "classification": "Discrete reasoning over paragraphs",
        "organization": "Allen Institute for AI",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Documented",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Evaluation reference",
            "Comparable measurement",
            "Research reproducibility",
            "Model documentation support"
        ],
        "limitations": [
            "Benchmark interpretation depends on task design, data quality and contamination controls.",
            "Scores should not be treated as a complete measure of intelligence."
        ],
        "tags": [
            "Dataset",
            "Evaluation",
            "Documentation",
            "Established",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "DROP public release or documentation",
                "description": "DROP appears in public documentation as a discrete reasoning over paragraphs associated with Allen Institute for AI."
            }
        ],
        "relationships": [
            {
                "target": "Allen Institute for AI",
                "type": "Created or maintained by",
                "description": "DROP is associated with Allen Institute for AI.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "DROP public reference",
                "url": "https://allenai.org/data/drop",
                "source_type": "Primary or Research Source",
                "verification_status": "verified"
            }
        ]
    }
}
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