> This page is for version 26.07 · v1.3.0.
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> - 26.04 · v1.2.0: https://docs.nvidia.com/nemo/curator/v26.04/llms.txt
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> Quickstart guides for getting started with NeMo Curator across text, image, and video modalities with minimal setup

# About Getting Started

## Before You Start

Welcome to NeMo Curator! This framework streamlines the curation and pre-processing of large-scale datasets for training generative AI models across text, image, audio and video modalities.

**Who are these quickstarts for?**

* AI/ML engineers and researchers who want to quickly test NeMo Curator's capabilities
* Users looking to run an initial curation pipeline with minimal setup
* Individuals exploring NeMo Curator prior to a full production deployment

**What you'll find here:**
Each quickstart enables you to get started with a specific domain in less than 30 minutes. Quickstarts provide basic installation steps, sample data, and a working example.

> **Tip**
>
> For production deployments, cluster configurations, or detailed system requirements, refer to the [Setup & Deployment documentation](/admin).

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## Install

Install NeMo Curator once with support for every modality, then jump into a quickstart below.

#### [Install (All Modalities)](/get-started/installation)

Full installation guide covering PyPI, source, and container methods, package extras for each modality, and post-install verification steps.

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## Modality Quickstarts

The following quickstarts allow you to test NeMo Curator using a selected data modality.

#### [Text Curation Quickstart](/get-started/text)

Set up your environment and execute your first text curation pipeline with NeMo Curator. Instructions cover installation, data preparation, and use of the modular pipeline architecture for efficient large-scale text dataset curation.

#### [Image Curation Quickstart](/get-started/image)

Set up your environment and install the NeMo Curator image modules. The quickstart explains prerequisites, installation methods, and the use of the framework to curate large-scale image-text datasets for generative AI model training.

#### [Video Curation Quickstart](/get-started/video)

Set up your environment and execute your first video curation pipeline. The instructions include prerequisites, installation options, and guidance on splitting, encoding, embedding, and exporting curated video clips at scale.

#### [Audio Curation Quickstart](/get-started/audio)

Set up your environment and execute your first audio curation pipeline with NeMo Curator. Instructions cover installation, data preparation, and use of the modular pipeline architecture for efficient large-scale audio speech dataset curation.