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DataBeginner1950s

Dataset

Dataset

A dataset is an organised collection of examples or information used to train, test or evaluate AI.

Explained simply

A dataset is an organised collection of examples or information used to train, test or evaluate AI.

1Collected examples
→
2Clean and label
→
3Train or test
→
4Measure result

At a glance

Category
Data
Difficulty
Beginner
Introduced
1950s

Real example

A fraud-detection dataset contains past transactions labelled as normal or fraudulent.

Why it matters

It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.

Timeline

Origins

The ideas behind Dataset begin developing.

1950s

Dataset becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

Dataset becomes connected to newer AI systems and products.

Today

Dataset remains relevant in the data area of AI.

Dates for broad concepts may describe the period when the idea emerged or became widely used, rather than one exact invention date.

Learn next

Continue with these connected terms:

TrainingTraining is the process of teaching an AI model by showing it data and adjusting it when its results are wrong.→ModelAn AI model is a trained system that uses patterns it learned to produce predictions, decisions or content.→BiasAI bias is a repeated unfair pattern in an AI system’s results, often caused by its data, design or use.→

Simple infographic

A quick visual way to understand Dataset.

1Collected examples
→
2Clean and label
→
3Train or test
→
4Measure result
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