Compare
MIMIC-IV vs MATH Dataset
Side-by-side comparison of MIMIC-IV (Dataset) and MATH Dataset (Dataset).
Live Data← All Comparisons
78.8
Composite Score
MIMIC-IV
Dataset · MIT Laboratory for Computational Physiology / Beth Israel Deaconess Medical Center
77.3
Composite Score
MATH Dataset
Dataset · UC Berkeley
Overall Winner
MIMIC-IV
MIMIC-IV wins 5 of 6 categories · MATH Dataset wins 0 of 6 categories
Score Comparison
MIMIC-IVvsMATH Dataset
Composite
78.8:77.3
Adoption
90:88
Quality
94:93
Freshness
80:72
Citations
96:94
Engagement
0:0
Details
FieldMIMIC-IVMATH Dataset
TypeDatasetDataset
ProviderMIT Laboratory for Computational Physiology / Beth Israel Deaconess Medical CenterUC Berkeley
Version2.21.0
Categorymedicalbenchmarks
Pricingfreeopen-source
LicensePhysioNet Credentialed Health Data License 1.5.0MIT
DescriptionMIMIC-IV (Medical Information Mart for Intensive Care) is a comprehensive de-identified electronic health record database covering over 300,000 patients admitted to Beth Israel Deaconess Medical Center's ICU between 2008 and 2019. It contains detailed clinical data including diagnoses, procedures, medications, laboratory values, and waveforms, enabling a wide range of clinical AI research.A challenging benchmark of 12,500 competition mathematics problems from AMC, AIME, and similar competitions across 5 difficulty levels and 7 subjects. Each problem includes a full step-by-step solution in LaTeX, making it suitable for both evaluation and training of mathematical reasoning.
Capabilities
Only MIMIC-IV
clinical-predictionicu-mortality-predictiondrug-interaction-analysisreadmission-prediction
Shared
None
Only MATH Dataset
math-evaluationadvanced-reasoning-benchmarkstep-by-step-solutions
Integrations
Only MIMIC-IV
BigQueryPostgreSQLPython (MIMIC-Extract)
Shared
None
Only MATH Dataset
huggingface-datasetslm-eval-harness
Tags
Only MIMIC-IV
ehrclinicalicuhospital-recordsde-identifiedlongitudinal
Shared
None
Only MATH Dataset
benchmarkcompetition-mathhard-mathstep-by-steplatex
Use Cases
MIMIC-IV
- ▸clinical ai research
- ▸model training
- ▸benchmark
MATH Dataset
- ▸model evaluation
- ▸advanced math reasoning
- ▸mathematical training
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