Data & Databases
Data labeling
Assigning target categories, answers, or tags to training examples.
Example
Each support message is labeled with its correct issue category.
Why it matters
It turns raw examples into material with stated answers for learning or checking.
You'll hear it
“These two reviewers assigned different answers to the same example.”
Can you control it?
Set by the team
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Can labels come from existing records instead of manual review?
- Yes. Suitable records or automated rules can supply them, although errors still need checking.
- Can old labels stop fitting a changed task?
- Yes. A new goal or category definition may require relabeling.
- Does majority agreement guarantee the correct label?
- No. Several reviewers can share the same misunderstanding.