# Re-import a deleted sample dataset
<a name="canvas-sample-datasets-reimport"></a>

Amazon SageMaker Canvas provides you with sample datasets for various use cases that highlight the capabilities of Canvas. To learn more about the sample datasets that are available, see [Sample datasets in Canvas](canvas-sample-datasets.md). If you no longer wish to use the sample datasets, you can delete them from the **Datasets** page of your SageMaker Canvas application. However, these datasets are still stored in the Amazon S3 bucket that you specified as the [Canvas storage location](https://docs.aws.amazon.com/sagemaker/latest/dg/canvas-storage-configuration.html), so you can always access them later. 

If you used the default Amazon S3 bucket, the bucket name follows the pattern `sagemaker-{region}-{account ID}`. You can find the sample datasets in the directory path `Canvas/sample_dataset`.

If you delete a sample dataset from your SageMaker Canvas application and want to access the sample dataset again, use the following procedure.

1. Navigate to the **Datasets** page in your SageMaker Canvas application.

1. Choose **Import data**.

1. From the list of Amazon S3 buckets, select the bucket that is your Canvas storage location. If using the default SageMaker AI-created Amazon S3 bucket, it follows the naming pattern `sagemaker-{region}-{account ID}`.

1. Select the **Canvas** folder.

1. Select the **sample\$1dataset** folder, which contains all of the sample datasets for SageMaker Canvas.

1. Select the dataset you want to import, and then choose **Import data**.