Active Benchmarks by Domain
Browse verified, actively-maintained benchmarks by problem domain. These are the recommended datasets for evaluating your models.
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Browse by problem domain
Natural Language Processing
Processing and understanding text? Evaluate your models on language understanding, generation, translation, and information extraction benchmarks.
Computer Vision
Building systems that understand images and video? Find benchmarks for recognition, detection, segmentation, and document analysis tasks.
Reasoning
Testing if your model can think logically? Benchmark math problem solving, commonsense understanding, and multi-step reasoning capabilities.
Computer Code
Developing AI coding assistants? Test code generation, completion, translation, bug detection, and repair capabilities.
Time Series
Predicting future trends or detecting anomalies? Benchmark forecasting accuracy and pattern recognition in sequential data.
Medical
Building healthcare AI? Find benchmarks for medical imaging, disease diagnosis, clinical text processing, and drug discovery.
Agentic AI
Measuring autonomous AI capabilities? METR benchmarks track time horizon, multi-step reasoning, and sustained task performance - key metrics for AGI progress.
Speech
Working with voice and audio? Evaluate speech-to-text accuracy, voice synthesis quality, and speaker identification performance.
Mobile Development
Benchmarks evaluating AI code generation for mobile platforms — React Native, Flutter, Swift, Kotlin. Tests real-world patterns: navigation, animation, state management, platform APIs.
Multimodal
Combining vision and language? Evaluate image captioning, visual QA, text-to-image generation, and cross-modal retrieval models.
Industrial Inspection
Building quality control systems? Benchmark anomaly detection, defect classification, and automated visual inspection for manufacturing.
Reinforcement Learning
Training agents to make decisions? Benchmark your policies on game playing, continuous control, and offline learning tasks.
Graphs
Working with network data? Test graph learning models on node classification, link prediction, and molecular property tasks.
Knowledge Base
Building knowledge systems? Evaluate graph completion, relation extraction, and entity linking performance.
Audio
Processing general audio signals? Test your models on sound classification, event detection, music analysis, and source separation.
Methodology
Improving learning efficiency? Test self-supervised, few-shot, transfer, and continual learning approaches.
Adversarial
Need to test model robustness? Benchmark resilience against adversarial attacks and evaluate defense mechanisms.
Robots
Building robotic systems? Find benchmarks for manipulation, navigation, and simulation-to-reality transfer.
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Research Areas
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Tasks
361
Datasets
8447
Benchmark Results