> ## Documentation Index > Fetch the complete documentation index at: https://alphacastio.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Publish to Dataset > Write pipeline output to a dataset that updates automatically whenever the pipeline runs. **Publish to Dataset** is one of the pipeline's output steps. It creates a dataset that is automatically kept up to date by the pipeline. Publish Dataset step in the pipeline editor Once you have made every transformation you need, publish the result as a dataset. The step lets you choose the dataset name and the repository it is stored in. Naming the published dataset and choosing a repository After naming and saving, click the link to navigate to the new dataset. Link to the newly published dataset You need write access to the destination repository. See [Repositories](/concepts/repositories) for how permission levels work. A published dataset is a first-class dataset: it can be queried through the [API](/api/datasets/data), read with the [Python SDK](/python-sdk/downloading), and fetched by other pipelines with [Fetch Dataset](/steps/fetch-dataset). ## Next steps Chart the result instead of, or as well as, publishing it. Produce a downloadable, embeddable snapshot.