--- title: "Dataset (in)validation" slug: "dataset-invalidation" updated: 2024-07-31T23:28:46Z published: 2024-07-31T23:28:46Z canonical: "docs.kernel.com/dataset-invalidation" --- > ## Documentation Index > Fetch the complete documentation index at: https://docs.kernel.com/llms.txt > Use this file to discover all available pages before exploring further. # Dataset (in)validation You may want to hide some datasets from view. For example, a dataset that was interrupted or otherwise rendered unusable during recording might best be removed from the list of datasets when reviewing the Study results. Hiding a dataset in Kernel Cloud is done by *invalidating* it. Invalidating a dataset removes it from the default view in Dataset Lists. The dataset remains available for researchers (with sufficient privileges) to view, download, and analyze, as well as to re-validate if you change your mind. --- #### To invalidate a recorded dataset: 1. In the Portal, navigate to the **Datasets** tab containing the dataset you want to invalidate. 2. Find the dataset in the list and click it. The Dataset detail page opens. 3. Click the **Info** tab. 4. Scroll down to the **Invalidate Dataset** section.![](https://cdn.document360.io/c97072d7-dbc3-41f6-b55e-b62dbde0527b/Images/Documentation/image-1691451907646.png) 5. Type the reason for invalidation in the (mandatory) **Reason Invalid** field. 6. Click the **Invalidate Dataset** button. The dataset is invalidated. --- #### To re-validate an invalidated dataset: 1. In the Portal, navigate to the **Dataset** tab containing the session you want to revalidate. 2. In the Filter settings on the left, enable the **Include Invalid** checkbox. 3. Find the session you want to modify in the list and click it. The Dataset Detail page opens. 4. Click the **Info** tab on the left. 5. Scroll down to the **Invalidate Dataset** section.![](https://cdn.document360.io/c97072d7-dbc3-41f6-b55e-b62dbde0527b/Images/Documentation/image-1691451969884.png) 6. Click the **Revalidate Dataset** button. The invalidation tag is removed from the dataset, and the dataset becomes visible in all dataset lists to which it belongs.