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

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ft:locale :

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ft:publication_title :

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# Creating a dataset using Now Assist Skill Kit

# Creating a dataset using Now Assist Skill Kit {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 min. de leitura

Use these guidelines to create an effective dataset. Having an effective dataset provides better results for your prompt.

## Now Assist Skill Kit dataset creation overview {#creating-a-dataset__section_fbg_zqh_ccc}

A data-driven approach to skill development relies on the collection of a high-quality dataset to develop and test the skill. When you use Now Assist Skill Kit, you can also leverage the existing capabilities of the ServiceNow AI Platform to create a high-quality dataset.  
When collecting data for this purpose, you should aim to create datasets that are:

1. Representative of the skill's intended deployment environment. The data should:
   * Seek to reflect the expected distribution of inputs in the deployment environment.
   * Capture variance along several identified axes, for example, input length, urgency.
   * Include any examples of inputs that are known to be important to the use case.
   * Consider edge cases (which may be rare) but that are suspected to cause problems, for example, long examples.
2. Sized appropriately for the team's risk appetite.
   * It's possible to develop and deploy a skill with little data. However, a lack of data creates more uncertainty about how the skill performs in deployment.
   * You should think like statisticians and produce confidence intervals for any associated performance scores and prompt comparisons.
   {#creating-a-dataset__ul_cyq_hrh_ccc}
3. Isolated from the data used for developing and writing the prompts.
   * You should split the data collected into development and testing sets. By splitting the data, you are protecting some data solely for evaluation purposes.
   * If you use all the data during the process of developing the prompt, your final evaluation of the skill is biased, meaning that it over-reports performance. This bias is because of a phenomenon known as prompt overfitting.
   {#creating-a-dataset__ul_jzb_3rh_ccc}