> ## Documentation Index
> Fetch the complete documentation index at: https://docs.openpipe.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Datasets Quick Start

> Create your first dataset and import training data.

Datasets are the raw material for training models. They're where you'll go to collect, evaluate, and refine your training data.

<Steps>
  <Step title="Create Dataset">
    To create a dataset, navigate to the **Datasets** tab and click **New Dataset**.

    Your dataset will be given a default name including the time at which it was created. We suggest editing the name to something more descriptive.

    <Frame>
      <img src="https://mintcdn.com/openpipe/yLyh_RHELnvU-7tP/images/features/datasets/editing-dataset-name.png?fit=max&auto=format&n=yLyh_RHELnvU-7tP&q=85&s=3403dc46943d49b6f262ea14eaaf5161" alt="" width="3024" height="1716" data-path="images/features/datasets/editing-dataset-name.png" />
    </Frame>
  </Step>

  <Step title="Import Data">
    Now that you have a shiny new dataset, you need to somehow import data into it. This can be done in one of two ways:

    1. [Importing request logs](/features/datasets/importing-logs)
    2. [Uploading a file from your machine](/features/datasets/uploading-data)

    Click the links to learn more about each method.
  </Step>
</Steps>