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

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Create a data collection

# Create a data collection {#ariaid-title1}

Release version: Brazil  
Updated October 16, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read  
Combine one or more datasets into a data collection, choosing the columns and records to include. Then, publish the collection so that you can use it to evaluate a skill in AI Skill Kit.

## Before you begin

At least one dataset must exist. To learn more, see .

Role required: sn_data_kit.admin

## About this task

A data collection is the object that AI Skill Kit uses to evaluate a skill. A collection can combine records from more than one dataset.

## Procedure

1. Navigate to AllAI Data KitHome.
2. In the An overview of your data assets section, on the Datasets tab, select the dataset that contains the records that you want.  
   If the dataset isn't listed, select View all datasets.
3. At the top of the dataset page, select Add to data collection.
   * To create a collection, enter a name in the Data collection name field. Optionally, enter a description, and add tags by typing each tag and pressing Enter.
   * To add the dataset to an existing collection, turn off the Create data collection toggle. Then select the collection from the Available data collection field.
   {#create-data-collection__choices_cdc_004_aaa}
4. Select Confirm.  
   The Add to data collection page opens, with a Choose columns section and a Choose records section.
5. In the Choose columns section, select the columns that you want to add to the data collection, and then select Save \& next.
6. In the Choose records section, select a selection method.

   | Selection method | Action |
   | Manual selection | Select the check box for each record that you want to include. If you don't select any records, all records in the dataset are added to the collection. |
   | Sampling selection | In the Sample size field, enter the number of records to include, and then select Run. Random sampling is the only sampling method. The sampled records appear in the records list. |
   |-|-|

7. At the bottom of the page, select Add to data collection.  
   For sampling selection, this button is available only after you run the sample.

   Adding
   a dataset to a collection changes the dataset's state to Published. You can't edit or delete the records in a published dataset.  
   The data collection page opens.
8. Select Publish data collection.  
   When you publish a collection, the collection freezes curation and becomes available for use through AI Skill Kit.
9. Select Confirm to make your collection available.  
   The data collection is published.
{#create-data-collection__steps_cdc_003_aaa}

## What to do next

Select the published data collection in AI Skill Kit and run the evaluation.

You can also use a published data collection as the source for a labeling project, which adds ground truth to its records. Labeling projects can only use published collections. For details, see [Add a ground truth to each dataset record](https://www.servicenow.com/docs/3vCh~Vt0TiREOugFmDhZ5w "Add a ground truth, which is the real-world data that is used to train and test AI models to each dataset record. You can perform this task by using the AI Data Kit application.").

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