Datasets for RAG, fine-tuning and training built from public sources
AI-powered lyrics, with structure
Stage
Not given
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Founded
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Based in
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CH
Pricing model
Paid
Not given
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 plan with 5 credits per month, Standard plan with 20 credits per month, Professional plan with 100 credits per month. Additional credit packages available for one-time purchase.
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
Structured lyric generation from ideas
Quality scoring for lyrics
Style Creator for consistent musical direction
Vocal Studio for recording and arrangement
Vocal Arrangement with timeline and loop
AI mode with genre, mood and theme selection
Cloud sync for session metadata and audio
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
25 creative actions for song development
Structured workflow from idea to polished lyrics
Vocal recording integrated into songwriting studio
Lyriccreator AI