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

# CREATE DATASETS

> Bringing your datasets into the Oumi Platform

Oumi allows you the flexibility to work with your existing datasets or synthesize new ones from scratch.

## UPLOADING YOUR DATASET

You can upload your data from your project's **Overview** page:

1. Click the `Create` button and select `Dataset` from the menu to launch the Builder.
2. Select `Upload a File`.
3. Provide a `Dataset Name` and select the file to upload.
4. Click `Create Dataset`.

<video autoPlay controls muted loop playsInline allowFullScreen className="w-full aspect-video rounded-xl" src="https://mintcdn.com/oumi/-C82V_kXqoBIcXEj/videos/datasets-add-dataset1.mp4?fit=max&auto=format&n=-C82V_kXqoBIcXEj&q=85&s=3e6aae444026d878661ebe8da785ac10" data-path="videos/datasets-add-dataset1.mp4" />

You can check your new dataset's upload status from the main **Datasets** page.

## SYNTHESIZING DATASETS

You can generate datasets using Oumi’s data synthesis features, which are integrated throughout the workflow. For example, you can [create datasets from failure modes](/guides/evaluations/failure-modes) or define generation logic (e.g., rules, templates, and constraints) to produce synthetic data at scale instead of manually authoring examples.

This approach enables consistent, reproducible datasets while allowing controlled variation in complexity, style, and structure.

Please see [Data synthesis](/guides/synthesis) to learn more.