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sourceDocument: Brazil Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

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    - brazil

ft:locale :

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ft:publication_title :

    - Brazil Enable AI

ft:clusterId :

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---

# Mark a labeling project complete

# Mark a labeling project complete {#ariaid-title1}

Release version: Brazil  
Updated October 16, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Mark a labeling project complete to save its ground truth values in a new dataset and data collection that you can use for evaluation.

## Before you begin

Role required: sn_data_kit.admin

## About this task

When you mark a project complete, every task is published, including tasks that labelers haven't finished. The results are added to a new dataset and a new data collection, and the collection is published so that it's ready for evaluation. After you mark a project complete, you can't change it.  
Important:  
Mark the project complete only after labelers finish their tasks. Unfinished tasks are added to the new data collection without ground truth values.

## Procedure

1. Navigate to AllAI Data KitHome.
2. In the Data labeling section, on the Projects tab, select the project.
3. Check the task counts to confirm that labeling is finished.  
   The Published tasks count shows how many tasks labelers have submitted.
4. Select Mark complete.
5. In the Mark project as complete dialog box, enter a Dataset name and a Data collection name.  
   Optionally, enter a Description.
6. Select Mark as complete.  
   The project's tasks are closed. The new dataset appears on the Datasets tab, and the new data collection appears on the Data collections tab. Refresh the list if the dataset doesn't show as Published yet.

## Result

The new dataset contains the record columns and a column for each component in the project layout, including the ground truth.

## What to do next

To evaluate a skill with the ground truth, select the new data collection in AI Skill Kit.

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