F
ENT-00001097 · Evaluation System

FEVER

FEVER is a fact extraction and verification benchmark associated with FEVER authors.

Level IV — ConnectedDocumentedStructured
Human readable record

Overview

FEVER is a documented fact extraction and verification benchmark 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. 2018FEVER public release or documentation

    FEVER appears in public documentation as a fact extraction and verification benchmark associated with FEVER authors.

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 FEVER. 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

BenchmarkEvaluationDocumentationEstablishedBatch 03 Candidate
Relationship graph
FEVER
Created or maintained byFEVER authors

FEVER is associated with FEVER authors.

Machine readable layer

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

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    "identifier": "ENT-00001097",
    "name": "FEVER",
    "alternateName": [],
    "additionalType": "Evaluation System",
    "description": "FEVER is a fact extraction and verification benchmark associated with FEVER authors.",
    "creator": "FEVER authors",
    "url": "entity.php?id=ENT-00001097",
    "sameAs": "https://fever.ai/",
    "lxkeysWorld": {
        "classification": "Fact extraction and verification benchmark",
        "organization": "FEVER authors",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2018",
        "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": [
            "Benchmark",
            "Evaluation",
            "Documentation",
            "Established",
            "Batch 03 Candidate"
        ],
        "timeline": [
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        "sources": [
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                "source_type": "Primary or Research Source",
                "verification_status": "verified"
            }
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    }
}
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