---
description: "Essential concepts for text data curation including loading and processing."
categories: ["concepts-architecture"]
tags: ["concepts", "text-curation", "data-processing", "distributed"]
personas: ["data-scientist-focused", "mle-focused"]
difficulty: "beginner"
content_type: "concept"
modality: "text-only"
---

# Text Curation Concepts

This document covers the essential concepts for text data curation in NVIDIA NeMo Curator. These concepts assume basic familiarity with data science and machine learning principles.

## Core Concept Areas

Text curation in NeMo Curator focuses on these key areas:

<Cards>

<Card title="Text Curation Pipeline" href="/about/concepts/text/data/data-curation-pipeline">

Comprehensive overview of the end-to-end text curation architecture and workflow
overview architecture
</Card>

<Card title="Data Loading" href="/about/concepts/text/data/loading">

Core concepts for loading and managing text datasets from local files
local-files formats
</Card>

<Card title="Data Acquisition" href="/about/concepts/text/data/acquisition">

Components for downloading and extracting data from remote sources
remote-sources download
</Card>

<Card title="Data Processing" href="/about/concepts/text/data/processing">

Concepts for filtering, deduplication, and classification
filtering quality
</Card>

</Cards>

## Infrastructure Components

The text curation concepts build on NVIDIA NeMo Curator's core infrastructure components, which are shared across all modalities. These components include:

<Cards>

<Card title="Memory Management" href="/reference/infra/memory-management">
Optimize memory usage when processing large datasets
partitioning
batching
monitoring
</Card>

<Card title="GPU Acceleration" href="/reference/infra/gpu-processing">
Leverage NVIDIA GPUs for faster data processing
cuda
rmm
performance
</Card>

<Card title="Resumable Processing" href="/reference/infra/resumable-processing">
Continue interrupted operations across large datasets
checkpoints
recovery
batching
</Card>

</Cards>
