---
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


---

# Test set creation and management

# Test set creation and management {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 4 min. de leitura

Use the default test set of your NLU model to test the model's
performance and accuracy. Manage your test set over time by building or updating its content in
the NLU Workbench.
Nota:  
To test your model, install the ServiceNow® Store application NLU Workbench - Advanced Features. For more information, see [Install NLU Workbench - Advanced Features](https://servicenow-prod.fluidtopics.net/JiuLlgqdogTADoL6R_cpgg "You can install the NLU Workbench - Advanced Features application (com.snc.nlu.workbench.advanced) if you have the admin role.").
When you create an NLU model for Virtual Agent or AI Search, a default test set is created and associated to the model. You can use the default test set to evaluate the model's performance. Initially the test set is empty, ready to be populated with your content.

## Access your default test set {#nlu-test-set-creation-management__section_qyl_v5r_dwb}

Access your default test set with one of the following methods.

* Navigate to AllNLU WorkbenchModels. Select the tab for your model's application, then the name of your model from the list. On the model's overview page, find the Build and Train your model card and select its View phase button. Then select the Test set tab.
* Navigate to AllNLU WorkbenchModels. Select the tab for your model's application, then the name of your model from the list. On the model's overview page, select the Test Coverage tile.
* Navigate to AllMulti-model Batch TestingTest sets tab. Find the name of your model. Default test sets are labeled as Default.
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## Add content to your default test set {#nlu-test-set-creation-management__section_ccp_1vr_dwb}

Add utterances and their expected intents to build and manage your test set over time. You can add
content to the default test set with the following methods:

* Add test utterances and their expected intents manually. From the model's overview page navigate to Build and train your modelTest set tab. Type your input into the Type a test utterance here field, select an appropriate intent, then select the Add button.

  These test
  utterances are assigned a source of Manual.
* Import test utterances and their expected intents from a CSV file or from other models. To import content to a default test set, from the model's overview page navigate to Build and train your modelTest set tab. Select Import test utterances.

  Imported test
  utterances are assigned a source of Manual.
* The Expert Feedback Loop feature lets you add actual user utterances from Virtual Agent chat logs to the test set.

  These test utterances are assigned a source of Expert Feedback. For more information, see [NLU Expert Feedback Loop](https://servicenow-prod.fluidtopics.net/bluSID3mLqsddg8wN1MfBw "Provide feedback on Virtual Agent chat log utterances to help the system continuously learn and to better predict user input.").
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## Test Coverage {#nlu-test-set-creation-management__section_drd_pwr_dwb}

The Test Coverage score is the percentage of a model's enabled intents that have test
utterances in the default test set. Before testing your model, ensure that there is at least
60% coverage. The higher the Test Coverage score, the more accurate the performance testing
results.

Your test coverage needs to be at least 60%, with at least 5 test utterances per intent, in
order for the system to provide an optimal confidence threshold during batch testing. For
more information about the confidence threshold, see [NLU model settings](https://servicenow-prod.fluidtopics.net/urfHZKYwF9qj3QWMWFz_qg "Change your NLU model's name, description, or confidence threshold on the Settings page of the model overview.").


Aim to have about 10 percent of a model's test utterances marked as "not relevant", meaning
that there is no intent associated. This helps assess how the model handles irrelevant
utterances which should not have any intent predicted. For more information about irrelevant
utterances, see [Irrelevance detection in NLU](https://servicenow-prod.fluidtopics.net/w56bCE_NEmyXFrxSX9vlKw "Keep Virtual Agent chats focused with Irrelevance detection. Use the Irrelevance detection feature to train your NLU model to avoid making predictions for utterances that are not relevant.").

## Use the test set {#nlu-test-set-creation-management__section_dn1_jlt_dwb}

To use the default test set from the Test and publish your model
phase, see [Test and publish your model](https://servicenow-prod.fluidtopics.net/rrdVPR_y92_hfkDj4G3CgQ "Assess the performance of your NLU model to identify areas for improvement. Then publish your model to make it available to other applications such as Virtual Agent.").

To use the test set in Multi-model Batch Testing, see [Multi-model Batch Testing](https://servicenow-prod.fluidtopics.net/nn2o~zfSyJxfG0TPQ6QOCg "Test multiple Natural Language Understanding (NLU) models against a large set of utterances to evaluate the performance of the models. Add test sets, test multiple models, and see test results.").

## Characteristics of default test sets {#nlu-test-set-creation-management__section_zyj_2zr_dwb}

When an instance is upgraded, default test sets are created for any existing models that
don't already have them.

When you copy a model using Duplicate this model, the original's
default test set is copied into the new model. For more information, see [Duplicate an NLU model](https://servicenow-prod.fluidtopics.net/a0U_NqJPDO~~_xWoIARofQ "Duplicate an existing Natural Language Understanding (NLU) model to create a new one. Duplicating a model copies the settings and contents of the original model, including its default test set.").

The utterances in the test set shouldn't be the same as the utterances in the training
set.

Default test sets can't be deleted separately from their models.

Test set utterances should be in the same language as their model.

Test sets are available for Virtual Agent
or AI Search models.

## Downloading or moving default test sets {#nlu-test-set-creation-management__section_pgc_5zr_dwb}

Default test sets can be downloaded or moved as follows.

* Default test sets can be separately downloaded in CSV format. To download the test set, from the model's overview page navigate to Build and train your modelTest set tab. Select Download test set.  
  Nota:  
  Test sets that are downloaded from Download test set contain test utterances and their expected intents, but not the sources.
* Default test sets can be moved with update sets. When you add an NLU model to an update set, its default test set is added, including test utterances, expected intents, and sources. For more information, see [Add an NLU model to an update set](https://servicenow-prod.fluidtopics.net/OGjmab7jVIg6jmqcuAqRlA "Use update sets to move your Natural Language Understanding (NLU) models from one instance to another. Update sets include all records needed for your model to function on the target instance.").
* When using the Export model as CSV function in the All existing models table, the default test set is not included. For more information, see [Export an NLU model](https://servicenow-prod.fluidtopics.net/zd3s_~6lwQcDM8iHMYdIuw "Export a Natural Language Understanding (NLU) model to create a CSV file of the intents and utterances. You can then use the CSV file to edit, share, and import.").
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