Scrap turns EPUBs into hobbyist LLM training text
Scrap is a personal collection of shell and Python utilities that helps hobbyists build text corpora from EPUB files for language-model experiments. The workflow is technically approachable, but LibGen-derived books raise serious copyright and dataset-quality concerns.
Scrap captures the scrappy, low-budget side of LLM experimentation: the bottleneck is often data preparation, not model architecture. The cleverness is real, but the legal and curation risks are impossible to ignore.
- –EPUB-to-text conversion removes formatting noise and creates a corpus that is easy to tokenize and process
- –A large book dump provides volume, but not necessarily clean, diverse, representative training data
- –Copyright status and usage rights make LibGen a risky foundation for anything beyond private experimentation
- –Hobbyists can pursue safer alternatives through public-domain books, openly licensed datasets, and opt-in content
- –The project’s broader value is its reproducible Unix-style tooling for turning messy files into machine-readable data
DISCOVERED
1d ago
2026-08-12
PUBLISHED
1d ago
2026-08-11
RELEVANCE
AUTHOR
theshawwn