# Export a Dataset Version

You can export data from Roboflow at any time. You can export data using the Roboflow web interface or our Python package.

To export data, first generate a dataset version in the Roboflow dashboard. You can do so on the "Versions" page associated with your project.

After you have generated a dataset, click "Export" next to your dataset version:

<figure><img src="/files/RvFiwewLi3VzH3iwiXHt" alt="" width="563"><figcaption></figcaption></figure>

You can download your data in a wide variety of formats. You can see a full list of supported export formats in the "Export" tab of our [formats directory](https://roboflow.com/formats).

After selecting an export format, you can choose to either download the data as a `.zip` file, or as a `curl` link to download from the command line.

![Exporting to a .zip folder on your device.](/files/-Mhen8pzAqoFOsCB6mpM)

{% hint style="warning" %}
*The `curl` and Python code will contain a private key unique to your account. Do not share this key!*
{% endhint %}

![The window that appears for "show download code" after selecting "Continue."](/files/-MAEBtt6UYVFGW5C_5fK)

## Notes

Dataset versions are designed to be used as training data for computer vision models. Therefore, we make some optimizations to improve the training experience and performance of the models.

### Image Compression

To prevent training slowdowns, we compress images at a level that maintains a balance between training speed and resolution needed for sufficient model performance.

If you're looking to download the original quality image, you can do so by clicking on a image on your dataset and selecting "Download Image".

<figure><img src="/files/AOVtKDEFbn4qj3ardVoE" alt="" width="375"><figcaption></figcaption></figure>

{% hint style="info" %}
You can also access your images programmatically via the [Image Details API](/developer/rest-api/manage-images/get-details-about-an-image.md). The `image.urls.original` property states the link to the original quality image.
{% endhint %}

If you're looking to download your entire dataset original quality images, you can do so by using the [Image Search API](/developer/rest-api/manage-images/get-details-about-an-image.md). Here's a code snippet you can use to do that:

```python
import os
import requests
from roboflow import Roboflow

rf = Roboflow("YOUR_ROBOFLOW_API_KEY")

project = rf.project("my-dataset-id")

records = []

for page in project.search_all(
    offset = 0,
    limit = 100,
    in_dataset = True,
    batch = False,
    fields = ["id", "name", "owner"],
):
    records.extend(page)

print(f"{len(records)} images found")

for record in records:
        base_url = "https://source.roboflow.com"
        url = f"{base_url}/{record['owner']}/{record['id']}/original.jpg"

        try:
            response = requests.get(url)
            response.raise_for_status()

            # Save to temp directory
            save_path = os.path.join('temp_images', record['name'])
            with open(save_path, 'wb') as f:
                f.write(response.content)

            print(f"Downloaded: {record['name']}")

        except requests.exceptions.RequestException as e:
            print(f"Error downloading image: {e}")

```

### Accepted Characters

To prevent issues from arising during training, we sanitize class names both at upload/import and export. At export, we perform the following:

* Class names are converted to ASCII
  * Where possible, characters are anglicized (ex: `ü` to `u`)
  * Otherwise, they are replaced with a dash (`-`)

{% hint style="info" %}
[Class name sanitization also occurs during upload](/datasets/adding-data.md#class-name-sanitization)
{% endhint %}

### Export with the Python Package

You can both generate versions and export datasets with the Python package.

{% content-ref url="/spaces/e5GEiPeDoFksvZv1vH3A/pages/0zziwbyAo255wXPCoF3O" %}
[Create a Dataset Version](/developer/python-sdk/create-a-dataset-version.md)
{% endcontent-ref %}


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