# Training Data

Training data is the collection of examples used to teach a machine-learning model patterns and relationships.

## Why it matters

Training data shapes what a model can learn and which errors it makes. Teams need provenance, appropriate rights, representative coverage, quality checks, privacy controls, and a separate evaluation set.

## Example

A classifier dataset records label definitions, source period, consent and license status, class balance, reviewer agreement, and known gaps before training begins.

## FAQ

### What is Training Data in simple terms?

Training data is the collection of examples used to teach a machine-learning model patterns and relationships.

### Why does Training Data matter for teams using AI?

Training data shapes what a model can learn and which errors it makes. Teams need provenance, appropriate rights, representative coverage, quality checks, privacy controls, and a separate evaluation set.

### What is a practical example of Training Data?

A classifier dataset records label definitions, source period, consent and license status, class balance, reviewer agreement, and known gaps before training begins.


Source: https://www.luffy.so/ai-glossary/training-data

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