# datasets.do

> Store and query ML training datasets at the edge with automatic versioning and lineage tracking. Stream billions of records, train models globally, and deploy in <50ms with zero data movement.

ML Datasets That Train AI at the Edge. Deploy machine learning datasets with automatic versioning and lineage tracking. Stream training data efficiently and track experiments across teams.

datasets.do is one of the primitives of Platform.do, in the Data layer (records, vocabulary and search). Every .do shares one grammar, Business-as-Code, and one SDK.

## Page

- [datasets.do](https://datasets.do/): Datasets.do - Deploy ML Datasets at the Edge | Train AI Models Globally ([Markdown](https://datasets.do/index.md))

## Business-as-Code

- [What is Business-as-Code?](https://platform.do/business-as-code): the grammar every .do shares ([Markdown](https://platform.do/business-as-code.md))
- [Platform.do](https://platform.do/): infrastructure for autonomous business ([llms.txt](https://platform.do/llms.txt))

## Docs

- [Documentation](https://docs.platform.do): guides and reference for the whole platform
- [SDK](https://docs.platform.do/sdk): TypeScript SDK, `import { on, send, db, $ } from 'sdk.do'`
- [CLI](https://docs.platform.do/cli): the `do` command
- [MCP](https://docs.platform.do/mcp): one MCP tool, `do`, that runs a script
- [API](https://docs.platform.do/api): REST API

## Other Data primitives

- [databases.do](https://databases.do)
- [nouns.do](https://nouns.do)
- [verbs.do](https://verbs.do)
- [lists.do](https://lists.do)
- [searches.do](https://searches.do)
- [mdx.do](https://mdx.do)
- [resources.do](https://resources.do)
- [directory.do](https://directory.do)

## Optional

- [Full text](https://datasets.do/llms-full.txt): this index plus the page in full