Content Processing & Cleaning
Content Processing & Cleaning
Content Processing & Cleaning
Clean, normalize, and transform text content to meet specific requirements for training language models using NeMo Curator’s tools and utilities.
Content processing involves transforming your text data while preserving essential information. This includes fixing encoding issues and standardizing text format to ensure high-quality input for model training.
Content processing transformations typically modify documents in place or create new versions with specific changes. Most processing tools follow this pattern:
You can combine processing tools in sequence or use them alongside other curation steps like filtering and language management.
Add unique identifiers to documents for tracking and deduplication identifiers tracking preprocessing deduplication
Fix Unicode issues, standardize spacing, and remove URLs unicode normalization preprocessing urls
Here’s an example of a typical content processing pipeline: