Data Preparation for LLMs 🧹: Garbage In, Garbage Out – Clean Text Feast

Master dataset cleaning guide for training powerful large language models.

Collecting Data for LLMs

• Web scraping, books, code repositories – gather diverse sources.
• Aim for variety to build robust models.

Cleaning Datasets

• Deduplicate, filter out junk and noise.
• Normalize text: Lowercase, remove artifacts.

Curating High-Quality Data

• Annotate for tasks, quality assurance checks.
• Push to Hugging Face Hub for sharing.

Why Data Prep is Crucial

Bad data kills models! What’s your go-to data cleaning hack? Drop it! 📊

My Data Prep Notes

• Medium: Data Preparation Guide
• Colab: Data Hacks

Top Data Preparation Resources

• Hugging Face Datasets
• OpenWebText
• The Pile Paper
• RedPajama Blog
• Dolma Paper

Keywords: data preparation for LLMs, dataset cleaning guide, LLM training data, AI data curation, text normalization techniques