> ## Documentation Index
> Fetch the complete documentation index at: https://enrolla-nk-hub-guardrails.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Quick Start

Datasets are simple data tables that you can use to manage your data for experiments and evaluation of your AI applications.
Datasets are available in the SDK, and they enable you to create versioned snapshots for reproducible testing.

<Frame>
  <img className="block dark:hidden" src="https://mintcdn.com/enrolla-nk-hub-guardrails/MnHRGhi6rxtiPuOU/img/dataset/dataset-list-light.png?fit=max&auto=format&n=MnHRGhi6rxtiPuOU&q=85&s=993969653e6f3f7d1f30e6bba8339d5b" width="3266" height="504" data-path="img/dataset/dataset-list-light.png" />

  <img className="hidden dark:block" src="https://mintcdn.com/enrolla-nk-hub-guardrails/MnHRGhi6rxtiPuOU/img/dataset/dataset-list-dark.png?fit=max&auto=format&n=MnHRGhi6rxtiPuOU&q=85&s=4ed6d39f801ce1e2763ddfd0014f9855" width="3260" height="504" data-path="img/dataset/dataset-list-dark.png" />
</Frame>

<Steps>
  <Step title="Create a new dataset">
    Click **New Dataset** to create a dataset, give it a descriptive name that reflects its purpose or use case, add a description to help your team understand its context, and provide a slug that allows you to use the dataset in the SDK.
  </Step>

  <Step title="Add your data">
    Add rows and columns to structure your dataset.
    You can add different column types:

    * **Text**: For prompts, model responses, or any textual data
    * **Number**: For numerical values, scores, or metrics
    * **Boolean**: For true/false flags or binary classifications

    <Tip>
      Use meaningful column names that clearly describe what each field contains,
      making it easier to work with your dataset in code, ensure clarity when using evaluators, and collaborate with team members.
    </Tip>
  </Step>

  <Step title="Publish your dataset version">
    <Frame>
      <img className="block dark:hidden" src="https://mintcdn.com/enrolla-nk-hub-guardrails/MnHRGhi6rxtiPuOU/img/dataset/dataset-view-light.png?fit=max&auto=format&n=MnHRGhi6rxtiPuOU&q=85&s=0bdfbbbd6e3e336ec0848660cf7693f4" width="3298" height="600" data-path="img/dataset/dataset-view-light.png" />

      <img className="hidden dark:block" src="https://mintcdn.com/enrolla-nk-hub-guardrails/MnHRGhi6rxtiPuOU/img/dataset/dataset-view-dark.png?fit=max&auto=format&n=MnHRGhi6rxtiPuOU&q=85&s=57e9a2f2e5a75b519578e66deb61f00e" width="3270" height="594" data-path="img/dataset/dataset-view-dark.png" />
    </Frame>

    Once you're satisfied with your dataset structure and data:

    1. Click **Publish Version** to create a stable snapshot
    2. Published versions are immutable
    3. Publish versions are accessible in the SDK
  </Step>

  <Step title="View your version history">
    You can access all published versions of your dataset by opening the version history modal. This allows you to:

    * Compare different versions of your dataset
    * Track changes over time
    * Switch between versions
  </Step>
</Steps>