Dataset Dashboard

The Datasets dashboard provides a comprehensive view for managing and monitoring your dataset tasks efficiently. This section offers an overview of the following key elements:

Dataset Dashboard

Account and Credits

  • Project ID: Displays your project id associated with current project.

  • Credits: Shows the remaining credits in your account, including details about your subscription and any purchased credits.

Accounts and Credits

Dataset Status Visualization

A data visualization chart categorizes the status of your datasets into:

  • Queued

  • Processing

  • Processed

Dataset Visualization

Recent Action

This section highlights your recent actions within the dataset section of your project, providing quick insights into your latest tasks associated with your datasets.

Recent Actions

Dataset Table

This table lists the datasets within your project and includes the following information:

Dataset Table

  • Name: The name of the dataset.

  • Status: Indicates whether the dataset is processed, queued, or in progress.

  • Latest Version: The current version of the dataset.

  • #Samples: The number of samples available in the dataset.

  • #Classes: The number of classes represented in the dataset.

  • #Versions: The number of versions available for the dataset.

  • Last Updated: The date and time when the dataset was last modified.

Delete your dataset

  1. To delete a dataset, first click the checkbox next to the dataset you wish to delete in the dataset table section of your dashboard.

Delete Dataset

  1. This will reveal a three dots menu at the top left of the dataset table. Click on the three dots menu to see the option to delete the dataset.

Delete Dataset

  1. Select the Delete Dataset option, and an alert will appear, prompting you to type CONFIRM and then click CONFIRM to delete the dataset.

Delete Dataset

Rename your dataset

  1. To rename a dataset, first click the checkbox next to the dataset you wish to rename in the dataset table section of your dashboard.

Rename Dataset

  1. This will reveal a three dots menu at the top left of the dataset table. Click on the three dots menu to see the option to rename the dataset.

Rename Dataset

  1. Select the Rename Dataset option, and an alert will appear, prompting you to enter the provide a new dataset name, type your new dataset name and then click RENAME to rename the dataset.

Rename Dataset

Clone a Dataset

To clone a dataset within an experiment, follow the same steps as deleting a dataset. Instead of clicking on the trash icon, select the clone icon at the top of the dataset sub-table. This will open a form where you can select the target project and specify a name for the cloned dataset. Once completed, click Clone to create a duplicate of the selected dataset within the current or chosen project.

Clone Dataset

Publish a Dataset

To publish a dataset to the solutions tab, use the same steps as deleting a dataset. However, instead of clicking the trash icon, select the publish icon at the top of the dataset sub-table. This will open a form where you can choose the application for publishing and set the target dataset name. Once the details are filled, click Add to make the dataset available in the solutions section, accessible to others.

Publish Dataset

Note

You can also manage your dataset using our Python SDK, which brings extra flexibility, especially if you prefer automating parts of your workflow. Whether you’re working within the platform or prefer coding, you’ve got options. Explore both the platform and SDK options to find the best approach for your workflow needs!