Datasets for RAG, fine-tuning and training built from public sources
Fix your English right where you type, on Mac
Stage
Not given
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Founded
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Based in
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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)
Free: $0 forever with daily allowance after 7-day trial. Pro month: $1.99 for 30 days. Pro year: $19.99 for 365 days.
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
Fix with grammar and tense correction
Native rewrite suggestions
Works in every application with text boxes
Suggested replies with four options
Translation between languages
Custom snippets with shortcuts
Personal writing style customization
Explanation of corrections
Optional chat context for tone matching
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
No subscription, pay once with no auto-renewal
Works across all Mac applications through accessibility
Preserves personal writing voice with customization
nonolingo