Compare
AI2 Reasoning Challenge (ARC) vs MMLU
Side-by-side comparison of AI2 Reasoning Challenge (ARC) (Benchmark) and MMLU (Benchmark).
Live Data← All Comparisons
80.7
Composite Score
AI2 Reasoning Challenge (ARC)
Benchmark · Allen Institute for AI (AI2)
80.5
Composite Score
MMLU
Benchmark · UC Berkeley / CRFM
Overall Winner
AI2 Reasoning Challenge (ARC)
AI2 Reasoning Challenge (ARC) wins 2 of 6 categories · MMLU wins 4 of 6 categories
Score Comparison
AI2 Reasoning Challenge (ARC)vsMMLU
Composite
80.7:80.5
Adoption
78:96
Quality
85:88
Freshness
65:74
Citations
88:98
Engagement
70:0
Details
FieldAI2 Reasoning Challenge (ARC)MMLU
TypeBenchmarkBenchmark
ProviderAllen Institute for AI (AI2)UC Berkeley / CRFM
Versionv1.11.0
Categoryai-benchmarksllms
Pricingfreeopen-source
LicenseCC BY-SA 4.0MIT
DescriptionThe AI2 Reasoning Challenge (ARC) is a question-answering dataset designed to evaluate advanced reasoning capabilities in AI systems. It consists of elementary-level science questions specifically crafted to be difficult for retrieval-based methods and require deeper understanding and reasoning to answer correctly.Massive Multitask Language Understanding benchmark covering 57 academic subjects from STEM to humanities. Measures broad knowledge and reasoning ability through multiple-choice questions at varying difficulty levels from elementary to professional.
Capabilities
Only AI2 Reasoning Challenge (ARC)
commonsense-reasoningscientific-reasoningknowledge-integrationinference
Shared
None
Only MMLU
model-evaluationknowledge-testingmulti-domain-assessmentreasoning-evaluation
Integrations
Only AI2 Reasoning Challenge (ARC)
None
Shared
None
Only MMLU
lm-eval-harnesshelm
Tags
Only AI2 Reasoning Challenge (ARC)
question-answeringscienceelementary-schoolai2
Shared
reasoning
Only MMLU
benchmarkevaluationknowledgemultitask
Use Cases
AI2 Reasoning Challenge (ARC)
- ▸ai research
- ▸model evaluation
- ▸educational ai
- ▸knowledge representation
MMLU
- ▸model comparison
- ▸knowledge assessment
- ▸training evaluation
- ▸research
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