---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/intelligent-experiences

 Release :

    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Add a ground truth to each dataset record

# Add a ground truth to each dataset record {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 min. de leitura

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 do this task by using the Now Assist Data Kit application.

## Antes de Iniciar

Role required: sn_data_kit.admin, sn_data_kit.analyst

## Procedimento

1. After you create a data set, select Create ground truth guidelines.
2. On the form, fill in the fields.  
   {#add-ground-truth__table_irk_ttk_ddc__entry__2}

   | Field | Description |
   |-|-|
   | Type | * Manual * AI Generated {#add-ground-truth__ul_ifz_tl3_xfc} |
   | Ground truth type | * Summarization * Content generation * Other {#add-ground-truth__ul_rvw_rrd_xfc} |
   | Instructions | Guidelines for labelers and linguists who manually add the ground truth. If you select AI generated, the information from the form will be passed to the LLM to generate the ground truth. |
   | Column type | If you chose AI generated ground truth, select the column type. * String * Number * JSON {#add-ground-truth__ul_ogf_dsd_xfc} |
   | Column label | The name of the column that is added for the ground truth in the dataset. |
   [Tabela 1. Add ground truth info form]

   {#add-ground-truth__table_irk_ttk_ddc}
3. Select Confirm.  
   A new Record detail page opens.
4. On the form, fill in the fields.  
   {#add-ground-truth__table_irz_v2t_ddc__entry__2}

   | Field | Description |
   |-|-|
   | Form label | Incident record number. |
   | State | Time of the record creation. |
   | Summarization | Manual entry of the ground truth. |
   [Tabela 2. Record detail info form]

   {#add-ground-truth__table_irz_v2t_ddc}You can manually enter the ground truth and rate the ground truth. These options appear in a separate column in the dataset record.
5. Select Save and next  
   The ground truth column is added in a separate column in the dataset. Use the Add to data collection pop-up window to combine similar records from different datasets.
6. Add the dataset to an existing collection by selecting Add to data collection.
   1. Enter the data collection name, description, data collection category, and relevant tags.
   2. To create a new data collection, slide the toggle bar.
   {#add-ground-truth__substeps_zvs_2vt_bdc}
7. Select Next.  
   A new data collection page populates.
8. Select the Choose columns form and then select the columns that you want to add to the data collection.
9. Select the Choose records form and select how you want to sample the dataset again (manually or sampling method).  
   For a random sample, select Run to preview the record. Choose a sampling method, and select Run to preview the record.  
   The selected records are added to the data collection.
10. Select the data collection to preview the records.
11. SelectPublish to make the data available for validation.  
    When you publish a collection, the data freezes curation and makes the dataset available for use through ServiceNow SDK.
12. Select Confirm to make your collection available.  
    The data collection is published and available in Mobile SDK for evaluation.
{#add-ground-truth__steps_zdr_1bn_bdc}