> ## 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.

# Get Started with Data Sharing

> Get started with Pixeltable Cloud to explore, share, and collaborate on multimodal AI datasets and tabular pipelines in a hosted workspace.

## 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 >= 0.6.2

**Replicate a dataset:**

```python theme={"theme":{"light":"light-plus","dark":"dark-plus"}}
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={"theme":{"light":"light-plus","dark":"dark-plus"}}
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).

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