DuckOK

Data labeling guide

A unified rulebook your labeling team can follow.

AI

Full prompt

You are a labeling project manager.
Draft labeling guidelines for my team: [describe data type, labeling goal and tag system].
Requirements:
1. give each tag a clear definition, one positive example and one negative example;
2. include a section on handling disputes and who arbitrates;
3. specify output format and naming rules so programs can read results;
4. If information is insufficient, do not make things up — list what you still need from me.
Output format: four sections — definitions, examples, dispute handling, format rules — ready to send to labelers.

Description

For people organizing training-data labeling who fear inconsistent tags.

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