G
ENT-00002838 · Benchmark

GeoQuery

GeoQuery is a code / data reasoning benchmark associated with Semantic parsing research community.

Level V — PersistentActiveDocumented
Human readable record

Overview

GeoQuery is a documented benchmark or dataset used to evaluate code intelligence, program synthesis, debugging, semantic parsing or data reasoning. It is recorded as geography query semantic parsing dataset.

Timeline

  1. 1996Public release or documentation

    GeoQuery appears in public documentation, project records, benchmark descriptions or research references associated with Semantic parsing research community.

Capabilities

Evaluation protocol documentationModel comparison supportTask taxonomy mappingReproducible benchmark anchoringRelationship graph compatibility

Known limitations

Benchmark results can become stale as models improve and evaluation protocols evolve.A benchmark measures a defined task scope rather than complete intelligence.
Technical and registry detail

Technical description

Structured record for GeoQuery. 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

BenchmarkCode IntelligenceSoftware EngineeringEvaluation
Relationship graph
GeoQuery
Associated organizationSemantic parsing research community

Semantic parsing research community is the organization, project community or institutional context associated with GeoQuery.

Domain contextCode and data reasoning evaluation

GeoQuery belongs to the Code and data reasoning evaluation layer of the intelligent-entity registry.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002838",
    "name": "GeoQuery",
    "alternateName": [],
    "additionalType": "Benchmark",
    "description": "GeoQuery is a code / data reasoning benchmark associated with Semantic parsing research community.",
    "creator": "Semantic parsing research community",
    "url": "entity.php?id=ENT-00002838",
    "sameAs": "https://github.com/jkkummerfeld/text2sql-data",
    "lxkeysWorld": {
        "classification": "Code / Data Reasoning Benchmark",
        "organization": "Semantic parsing research community",
        "originContext": "Code and data reasoning evaluation",
        "firstPublicAppearance": "1996",
        "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": [
            "Evaluation protocol documentation",
            "Model comparison support",
            "Task taxonomy mapping",
            "Reproducible benchmark anchoring",
            "Relationship graph compatibility"
        ],
        "limitations": [
            "Benchmark results can become stale as models improve and evaluation protocols evolve.",
            "A benchmark measures a defined task scope rather than complete intelligence."
        ],
        "tags": [
            "Benchmark",
            "Code Intelligence",
            "Software Engineering",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "1996",
                "title": "Public release or documentation",
                "description": "GeoQuery appears in public documentation, project records, benchmark descriptions or research references associated with Semantic parsing research community."
            }
        ],
        "relationships": [
            {
                "target": "Semantic parsing research community",
                "type": "Associated organization",
                "description": "Semantic parsing research community is the organization, project community or institutional context associated with GeoQuery.",
                "evidence_level": "documentary"
            },
            {
                "target": "Code and data reasoning evaluation",
                "type": "Domain context",
                "description": "GeoQuery belongs to the Code and data reasoning evaluation layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official or reference source",
                "url": "https://github.com/jkkummerfeld/text2sql-data",
                "source_type": "Research Source",
                "verification_status": "verified"
            }
        ]
    }
}
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