Working with datasets

Efficient dataset management is central to ACL AI Studio. This section explains how to create, organize, collaborate on, and secure data collections for analysis. It covers key steps such as uploading files, adding metadata, managing access, and working with datasets throughout their lifecycle, so you can confidently use AI-powered tools and collaborative workflows to support your organization’s data needs.

Add a dataset

  1. On the ACL AI Studio home page, select + Add dataset.

  2. In the Add dataset panel, enter the details as described in the following table:

    Field Description
    Name Enter a unique name. This is a mandatory field.
    Description Enter a description of up to 800 characters.
    Upload data

    You can upload data in one of the following ways:

    • Upload a single file by either dragging and dropping it or selecting it manually. Supported formats include CSV (.csv) and Excel (.xlsx, .xls), with a maximum file size of 1 GB.

    • Select a file from the ACL Robots that you have access to.

    For more information, see Add a source table.

  3. Select Add.

Edit a dataset

You can edit the name of a dataset.

  1. On the Datasets home page, go to the dataset that you want to edit.

  2. From the more options menu (three dots), select Edit.

  3. Edit the name and select Save.

Delete a dataset

Only an ACL AI Studio Admin or an Owner collaborator can delete a dataset. When a dataset is deleted, the system deletes:

  • All the source and output tables associated with the dataset.

  • All analyses, associated chat history, and AI-generated content from the dataset.

  1. On the Datasets home page, go to the dataset that you want to delete.

  2. From the more options menu (three dots), select Delete.

  3. In the Delete dataset confirmation box, select Yes, delete.