AI glossary · Machine learning
Dataset
A dataset is an organised collection of data, such as a table of house prices or a folder of labelled photos, used to train or test AI models.
Also called data set
In more detail
Datasets are usually split into parts: one to train the model, one to tune it and one to test how well it works on examples it hasn’t seen. Testing on separate data is how you catch overfitting.
Public datasets like ImageNet, a large collection of labelled photos, have driven major progress in AI.
Related terms
Training dataTraining data is the set of examples, such as text, images or past records, that an AI model learns from. Its quality and range shape what the model can do.OverfittingOverfitting is when an AI model learns its training examples too closely, including their noise, so it does well on them but poorly on new data.AI benchmarkAn AI benchmark is a standard test used to measure and compare how well AI models perform on a task, such as maths problems, coding or general knowledge.Synthetic dataSynthetic data is artificial data generated by computers, often by AI, to train or test models when real data is scarce, expensive or private.
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