> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.umnai.com/guides/data/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.umnai.com/_mcp/server.

# Data

## Docs

- [Data](https://docs.umnai.com/guides/data/overview.md): Prepare source data and turn it into model-ready datasets.
- [Prepare data](https://docs.umnai.com/guides/data/prepare-data.md): Shape source files so ingestion and onboarding can run cleanly.
- [Source storage](https://docs.umnai.com/guides/data/source-storage.md): Connect a read-only Amazon S3 source bucket for data ingestion.
- [Schema](https://docs.umnai.com/guides/data/schema/overview.md): Describe how Umnai should interpret source data during ingestion and onboarding.
- [Encoding](https://docs.umnai.com/guides/data/schema/encoding.md): Understand how schema fields are transformed for model training.
- [Ingestion](https://docs.umnai.com/guides/data/ingestion/overview.md): Turn source data into validated datasources.
- [Configuration](https://docs.umnai.com/guides/data/ingestion/configuration.md): Create reusable ingestion settings for datasource jobs.
- [Jobs](https://docs.umnai.com/guides/data/ingestion/jobs.md): Run ingestion to create or update datasources.
- [Datasources](https://docs.umnai.com/guides/data/ingestion/datasources.md): Inspect and manage the output of ingestion.
- [Onboarding](https://docs.umnai.com/guides/data/onboarding/overview.md): Turn datasources into datasets for training.
- [Configuration](https://docs.umnai.com/guides/data/onboarding/configuration.md): Define how datasources are prepared for training.
- [Jobs](https://docs.umnai.com/guides/data/onboarding/jobs.md): Run onboarding to create or update datasets.
- [Datasets](https://docs.umnai.com/guides/data/onboarding/datasets.md): Inspect and manage the output of onboarding.