ENT-00001077 · Evaluation System

MMLU-Pro

MMLU-Pro is a advanced multitask language benchmark associated with TIGER-Lab.

Level IV — ConnectedActiveConnected

Human readable record

Overview

MMLU-Pro is a documented advanced multitask language 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

2024MMLU-Pro public release or documentation
MMLU-Pro appears in public documentation as a advanced multitask language benchmark associated with TIGER-Lab.

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 MMLU-Pro. 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

BenchmarkEvaluationDocumentationBatch 03 Candidate

Relationship graph

MMLU-Pro

Created or maintained byTIGER-Lab

MMLU-Pro is associated with TIGER-Lab.

Machine readable layer

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

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    "sameAs": "https://arxiv.org/abs/2406.01574",
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        "firstPublicAppearance": "2024",
        "currentStatus": "Active",
        "registryStatus": "Connected",
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        "lxCalendarium": {
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            "updated_utc": "2026-06-16T23:59:14+00:00",
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            "reviewed_utc": "2026-06-16T23:59:14+00:00",
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        "limitations": [
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