> For the complete documentation index, see [llms.txt](https://jtheta-ai.gitbook.io/docs.jtheta.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://jtheta-ai.gitbook.io/docs.jtheta.ai/domain-specific-workflow/general-image-annotation/dataset-managment/manage-dataset.md).

# Manage Dataset

### 🧭 Accessing Your Dataset

1. Go to your **Project Dashboard**
2. Click on the **"Dataset"** tab to open the dataset associated with your project

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#### ✏️ Edit or Remove Draft Images

* Click any **Draft** image to open it in the annotation editor
* Make changes (e.g., update labels, adjust shapes)
* Remove unwanted images before releasing a version

> 🔄 **Draft images** can be modified at any time until they are submitted

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#### ✅ Submit Images

* After editing, click **Submit** to mark the image as finalized for the next dataset version
* Submitted images are locked and will be included in the version release

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#### 🔁 Version History

* View all released dataset versions
* Click any version to browse the exact images and annotations included
* Use this to compare versions or roll back if needed

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### 🧩 Use Cases for Dataset Management

* Clean up and verify annotation quality before releasing
* Organize large datasets into manageable subsets
* Track progress between different stages of review or training
* Maintain a clear audit trail of annotation updates

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Here’s an updated version of the documentation with your instructions, written clearly for your users:

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### 📤 Exporting Your Dataset

You can export your annotated dataset in various formats directly from the Jtheta platform.

#### 🔽 How to Export Data:

1. **Go to the Dataset**
   * Open the project that contains the dataset you want to export.
2. **Choose a Version**
   * Before downloading, you’ll see a version selector.
   * By default, the **latest version** is selected.
   * You can choose an older version if needed.
3. **Click the "Download" Button**
   * After selecting the version, click the **Download** button to begin the export.
4. **Select Export Format**
   * Choose from the following supported formats:
     * **COCO**
     * **CSV**
     * **JSON**
     * **Excel (XLS/XLSX)**
5. **Download Begins Automatically**
   * Your dataset will be packaged and downloaded in the format you selected.

{% embed url="<https://youtu.be/1gar50SHTtQ>" %}

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#### 📁 Supported Export Formats

| Format    | Best For                                                                 |
| --------- | ------------------------------------------------------------------------ |
| **COCO**  | Training computer vision models (bounding boxes, polygons, segmentation) |
| **CSV**   | Simple annotation summaries in row format                                |
| **JSON**  | Structured data for integrations and custom tools                        |
| **Excel** | Easy sharing, filtering, and viewing in spreadsheets                     |

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💡 **Tip:** Always check the version before downloading to make sure you're exporting the correct snapshot of your data.

Let me know if you want to add UI screenshots or step-by-step visuals!

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### 🔐 Permissions

* **Annotators** can view and edit draft images
* **Reviewers and Admins** can submit images and release versions