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> Hands-on tutorials for text curation workflows including quality assessment with NeMo Curator

# Text Curation Tutorials

Hands-on tutorials for text curation workflows are available in the [`tutorials/text` directory](https://github.com/NVIDIA-NeMo/Curator/tree/main/tutorials/text) of the NeMo Curator GitHub repository.

## End-to-End Recipes

#### [Nemotron-CLIMB Data Curation](/curate-text/tutorials/nemotron-climb)

Discover a pretraining data mixture by embedding, clustering, pruning, tokenizing, training proxy models, and fitting a performance predictor.

## Key Concepts for Tutorial Success

Before diving into the tutorials, familiarize yourself with these essential NeMo Curator concepts:

#### [Pipeline Architecture](/about/concepts/text/data/data-curation-pipeline)

Core processing stages and pipeline concepts for text curation workflows
data-structures
distributed

#### [Quality Assessment](/curate-text/process-data/quality-assessment)

Scoring and filtering techniques used in tutorials
heuristics
classifiers

#### [Data Loading](/curate-text/load-data)

Loading data from various sources
common-crawl
custom-data

#### [Distributed Classification](/curate-text/process-data/quality-assessment/distributed-classifier)

GPU-accelerated classification concepts
gpu
scalable