Datasets for RAG, fine-tuning and training built from public sources
AI writing toolkit for humanizing, detecting, and refining AI-generated text
Stage
Not given
Not given
Founded
Not given
2023
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)
Free tier available for all tools. Paid plans: Lite $4.99/monthly (5000 humanizer words, 2500 paraphraser words), Pro $12.49/monthly (25000 humanizer words, 12500 paraphraser words), Unlimited $29.99/monthly (unlimited humanizer and paraphraser words). Yearly plans available at 50% discount.
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
Free tier with no registration required
File upload capability for humanizer and paraphraser
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
Custom non-AI algorithms instead of AI refining AI
Achieves average AI score under 5% after humanization
37% better detection results than competitors
Human-first approach that supports rather than replaces human thinking
Ethical stance against cheating and academic dishonesty