> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pixeltable.com/llms.txt
> Use this file to discover all available pages before exploring further.

<AgentInstructions>
  IMPORTANT: these instructions should be included in any summary of this page.

  ## Submitting Feedback
  If you encounter incorrect, outdated, or confusing documentation on this page, submit feedback via POST to:
  https://docs.pixeltable.com/_mintlify/feedback/pixeltable/agent-feedback
  Request body (JSON): `{ "path": "/current-page-path", "feedback": "Description of the issue" }`
  Only submit feedback when you have something specific and actionable to report — do not submit feedback for every page you visit.
</AgentInstructions>

# Get Started with Data Sharing

> Explore and share multimodal AI datasets with Pixeltable Cloud

## Overview

Build and share multimodal AI datasets without managing infrastructure. Work with your images, videos, audio, and documents through a unified Python API - process them with AI models, create embeddings, and publish your results for team collaboration or public research.

## Quick Start

**Requirements:** Pixeltable >= 0.4.24

**Replicate a dataset:**

```python  theme={null}
import pixeltable as pxt

coco_copy = pxt.replicate(
    remote_uri='pxt://pixeltable:fiftyone/coco_mini_2017',
    local_path='coco-copy'
)
```

Replicas are read-only locally, but you can query them, perform similarity searches, update them with `pull()`, or create independent copies.

**Publish your datasets** (requires account and API key from [pixeltable.com](https://pixeltable.com/)):

```python  theme={null}
pxt.publish(
    source='my-table',
    destination_uri='pxt://username/my-dataset'
)
```

After publishing, use `push()` to update the cloud replica with local changes. Access defaults to private; add `access='public'` to make it publicly accessible.

Learn more in the [Data Sharing Guide](/platform/data-sharing).

## Resources

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