Datasets for RAG, fine-tuning and training built from public sources
AI studio and reader for books, comics, and printables with optional cloud sync and AI audiobooks
Stage
Not given
Not given
Founded
Not given
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Based in
Not given
Not given
Pricing model
Paid
Freemium
Pricing
Web Corpus: starter sets from $49 (250,000-500,000 documents); shelf corpora from $99-$199 per shelf (one-time license); Everything (full crawl) $3,000 one-time; Whole Library (all builds for one year) $5,000 per year. Reference Collections: Encyclopedia $1,200 commercial or $349 research (one-time)
$9 per book, $9.99 per comic, $5 per printables set, $9 per blog post. Writing and reading are free; prices apply only to download files.
Key features
Web corpus with 100.7M documents and 105B tokens from Common Crawl
Documents scored with Bear Rank and shelved by subject
15 million encyclopedia entries with sources and model attribution
200 million synthetic Q&A records with metadata
Delivered as JSONL and Parquet formats
Free samples available on Hugging Face
Command-line client with resumable downloads and SHA-256 verification
Statistics collection with 7,000 topics and 140,000 figures
Glossaries for 10,000 topics with one million definitions
Book Q&A dataset with 8,000 titles for reading comprehension
AI-powered writing in 26 formats across 48 languages
Interview-based planning and chapter writing
Bite-sized card reading view for focus
Bionic Reading to improve reading speed
RSS and Atom feed integration
Offline reading with no ads
Optional free cloud sync across devices
AI audiobooks with word-by-word highlighting
Export highlights and notes as Markdown
Multiple output formats including EPUB and PDF
What makes it different
All datasets built only from public sources with full provenance tracking
Every record includes source attribution and licensing information
Eight curated subject shelves for targeted corpus selection
Flexible purchasing: buy individual shelves, slices, or entire library
Over 4 TB of clean, deduplicated text ready for machine learning
Finished, publishable files not drafts in one studio session
All output is real—no mockups shown
Line-edited writing that reads like a human wrote it
No credits or subscriptions needed to write
AI disclosure and copyright flexibility for Amazon publishing