ENT-00002837 · Benchmark

Text-to-SQL WikiTableQuestions

Text-to-SQL WikiTableQuestions is a code / data reasoning benchmark associated with Stanford NLP.

Level V — PersistentActiveDocumented

Human readable record

Overview

Text-to-SQL WikiTableQuestions is a documented benchmark or dataset used to evaluate code intelligence, program synthesis, debugging, semantic parsing or data reasoning. It is recorded as semantic parsing dataset.

Timeline

2015Public release or documentation
Text-to-SQL WikiTableQuestions appears in public documentation, project records, benchmark descriptions or research references associated with Stanford NLP.

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 Text-to-SQL WikiTableQuestions. 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

Text-to-SQL WikiTableQuestions

Associated organizationStanford NLP

Stanford NLP is the organization, project community or institutional context associated with Text-to-SQL WikiTableQuestions.

Domain contextCode and data reasoning evaluation

Text-to-SQL WikiTableQuestions 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-00002837",
    "name": "Text-to-SQL WikiTableQuestions",
    "alternateName": [],
    "additionalType": "Benchmark",
    "description": "Text-to-SQL WikiTableQuestions is a code / data reasoning benchmark associated with Stanford NLP.",
    "creator": "Stanford NLP",
    "url": "entity.php?id=ENT-00002837",
    "sameAs": "https://nlp.stanford.edu/software/sempre/wikitable/",
    "lxkeysWorld": {
        "classification": "Code / Data Reasoning Benchmark",
        "organization": "Stanford NLP",
        "originContext": "Code and data reasoning evaluation",
        "firstPublicAppearance": "2015",
        "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": "2015",
                "title": "Public release or documentation",
                "description": "Text-to-SQL WikiTableQuestions appears in public documentation, project records, benchmark descriptions or research references associated with Stanford NLP."
            }
        ],
        "relationships": [
            {
                "target": "Stanford NLP",
                "type": "Associated organization",
                "description": "Stanford NLP is the organization, project community or institutional context associated with Text-to-SQL WikiTableQuestions.",
                "evidence_level": "documentary"
            },
            {
                "target": "Code and data reasoning evaluation",
                "type": "Domain context",
                "description": "Text-to-SQL WikiTableQuestions 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://nlp.stanford.edu/software/sempre/wikitable/",
                "source_type": "Research Source",
                "verification_status": "verified"
            }
        ]
    }
}

Proof and discussion layer

Contribute to this record

Submit a proof, correction or comment. Public display is moderated. Every submission remains preserved in the export archive.

Submit proof or comment

Approved comments

No approved public comment yet.