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Delete Data & Datasets

This article explains how to delete logs and datasets in Hyperstack AI Studio to keep your training data organized and relevant. It outlines UI-based workflows for removing individual data entries or entire datasets, along with important notes on permanence and the distinction between data and dataset deletion.

Irreversible Deletion

When data is deleted there is no way for the data to be restored.

In This Article:​

Delete Logs Using the UI​

You can delete logs directly through the AI Studio UI using the following steps:

  1. Open the Logs & Datasets Page

    Navigate to the Logs & Datasets page and switch to the Logs tab.

  2. Filter Logs for Deletion

    Use the filtering options to select logs based on:

    • Model
    • Tags

    To delete individual logs, first apply a unique tag to only those logs, then filter by that tag.

  3. Delete Selected Logs

    Once the desired logs have been selected, click the Delete button to remove them permanently.

Permanent Data Removal

Deleting logs is irreversible—once deleted, the data cannot be recovered.

Delete Datasets Using the UI​

Datasets can then be viewed or deleted from the Dataset tab within the Data & Datasets section of the UI.

Dataset vs Data Deletion

When deleting a dataset the data still persist, only the grouping is deleted. To delete the data follow the steps above in the "Delete Data" Section