> For the complete documentation index, see [llms.txt](https://docs.segments.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.segments.ai/how-to-integrate/export.md).

# Export data

To download your labeled data, create a release on the Releases tab of your dataset. A release is a snapshot of your dataset at a specific point in time.

By clicking the download link of a release, you obtain a release file in JSON format. This release file contains all information about the dataset, tasks, samples, and labels in the release.

This section contains information about

1. [The structure of the release file](/how-to-integrate/export/structure-of-the-release-file.md)
2. [How to export the release file to different formats via the SDK](/how-to-integrate/export/exporting-image-annotations-to-different-formats.md)

Please refer to [this blog post](https://segments.ai/blog/speed-up-image-segmentation-with-model-assisted-labeling) for an example of training a segmentation model on exported data with some useful code snippets.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.segments.ai/how-to-integrate/export.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.