> For the complete documentation index, see [llms.txt](https://support.rendered.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.rendered.ai/application-user-guides/tutorials/creating-and-using-datasets.md). # Creating and Using Datasets Datasets are the output from the Rendered.ai platform. Most of what you have learned so far has been focused on configuring or running simulations to produce datasets. Now lets learn about what datasets are and how they can be used on the platform. ### Dataset Job After a Dataset Job has completed on the Jobs page, a dataset will be available to download via the Download button on the Jobs page.

### Dataset Library The Dataset will also appear in the Datasets Library page. By navigating to the Dataset tab and selecting the Dataset, you can learn more about it on the right-hand side. By clicking the checkbox next to the Dataset name, you can download or delete the dataset from the Dataset Library.

Information about each dataset name and description, unique identifiers and parameters for generating the dataset are shown on the right. From here, you can also edit the name and description of a dataset using the pencil icon.

### Additional Dataset Services The platform has a number of additional services to help you learn more about, compare or adapt the synthetic dataset. See the following tutorials to learn more and to get the most out of your datasets. [Dataset Annotations](/application-user-guides/tutorials/creating-and-using-datasets/dataset-annotations.md) [Dataset Analytics](/application-user-guides/tutorials/creating-and-using-datasets/dataset-analytics.md) [Dataset Comparison](/application-user-guides/tutorials/creating-and-using-datasets/dataset-comparison.md) [Dataset Best Practices](/application-user-guides/tutorials/creating-and-using-datasets/dataset-best-practices.md) [Understanding and Using Domain Adaptation](/application-user-guides/tutorials/creating-and-using-datasets/domain-adaptation.md) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://support.rendered.ai/application-user-guides/tutorials/creating-and-using-datasets.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.