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Delete Dataset

Deletes a dataset and all its associated images from Leonardo AI.

Common Properties​

  • Name - The custom name of the node.
  • Color - The custom color of the node.
  • Delay Before (sec) - Waits in seconds before executing the node.
  • Delay After (sec) - Waits in seconds after executing node.
  • Continue On Error - Automation will continue regardless of any error. The default value is false.

Inputs​

  • Connection Id (String) - Connection ID from the Connect node (optional if API Key credentials are provided directly).
  • Dataset ID (String) - ID of the dataset to delete.

Options​

  • API Key - Leonardo AI API key (optional if using Connection ID).

Outputs​

  • Response (Object) - Deleted dataset details including:
    • Dataset ID of the deleted dataset

How It Works​

The Delete Dataset node permanently removes a dataset. When executed, the node:

  1. Validates the dataset ID is not empty
  2. Sends a delete request to Leonardo AI API
  3. Removes the dataset and all associated images
  4. Returns the ID of the deleted dataset

Requirements​

  • Valid Leonardo AI API key (via Connection ID or credentials)
  • Valid dataset ID
  • Permission to delete the dataset (must be the owner)

Error Handling​

The node will return specific errors in the following cases:

  • Empty dataset ID - "Dataset ID cannot be empty. Please provide a valid dataset ID."
  • API error - "Failed to delete dataset. API response: {details}"
  • Dataset not found - "Dataset not found. Please verify the dataset ID is correct and the dataset exists."

Usage Examples​

Clean Up After Model Training​

Delete a dataset after creating a model from it:

  1. Create Dataset
  2. Upload images to the dataset
  3. Create Model from the dataset
  4. Verify model was created successfully
  5. Delete Dataset to free up storage

Delete Unused Datasets​

Remove datasets that are no longer needed:

// List of dataset IDs to delete
const unusedDatasets = [
  'dataset-id-1',
  'dataset-id-2',
  'dataset-id-3'
];

// Loop through and delete each
unusedDatasets.forEach(datasetId => {
  // Use Delete Dataset with datasetId
});

Delete Failed Dataset​

Remove a dataset if image upload or model training failed:

  1. Create Dataset
  2. Try to upload images
  3. If upload fails or dataset is incorrect
  4. Delete Dataset to start over

Automated Cleanup​

Set up periodic dataset cleanup:

  1. Get list of all datasets (via your tracking system)
  2. Filter for datasets older than a certain date
  3. Check if they have associated models
  4. Delete datasets without models that are old

Usage Notes​

  • Deletion is permanent and cannot be undone
  • All images in the dataset are also deleted
  • Models created from the dataset are NOT deleted
  • The dataset ID becomes invalid after deletion
  • Use caution when deleting - ensure you have backups if needed
  • Useful for managing storage quota
  • Deleting the dataset doesn't affect models already trained from it
  • You can only delete datasets you own
  • Consider downloading dataset images before deletion if they might be needed
  • Failed deletions indicate the dataset may not exist or you lack permission
  • Regular cleanup helps keep your account organized