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Home/Glossary/Dataset
AI Glossary Term

What does “Dataset” mean?

Definition

A collection of structured or unstructured examples used for training, validation, or testing.

Related terms

Evaluation Set
A held-out dataset used to measure model quality after training.
Validation Set
A dataset used during development to tune models and prevent overfitting.
Data Augmentation
Techniques that create modified training examples to improve model generalization.
Benchmark
A standardized test or dataset used to measure and compare model performance.
Supervised Learning
Training a model with labeled examples that map inputs to known outputs.
Synthetic Data
Artificially generated data used to augment, simulate, or protect sensitive training data.

Learn more in our free guides

LAION and Open Datasets

See also

Data LabelingDecision BoundaryData DriftDecision TreeDeep LearningCross-Entropy LossDiffusion ModelConvolutional Neural Network (CNN)
PreviousData LabelingNextDecision Boundary
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