Datasets

Create and manage datasets that organize your logs for fine-tuning.

This article explains how to create and manage datasets in Hyperstack AI Studio. Datasets help you organize logs for fine-tuning, training analysis, and efficient model iteration.

Prefer the API?

You can also manage datasets programmatically. See the Datasets API reference for all dataset operations, including request formats, parameters, and example responses.

Create Datasets

You can create datasets directly through the AI Studio UI using the following steps:

1. Open the Logs & Datasets Page

   Navigate to the Logs & Datasets page.

2. Filter Logs by Tags or Models

   Use the filtering options to select logs associated with specific tags or models.

   Filter requirements

   At least one tag or model must be selected to create a dataset.

3. Review and Select Logs

   Once filters are applied, review the matching logs displayed in the list.

4. Create Dataset

   Click the Create Dataset button. Provide a unique name for your dataset and optionally add a description.

5. Save Dataset

   Click Save to finalize dataset creation. The new dataset will appear under the Datasets tab.

Once created, you can:

• View all logs associated with the dataset.
• Add or remove metadata tags.
• Use the dataset for fine-tuning or evaluation tasks within Hyperstack AI Studio.

Delete Datasets

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