Datasets for RAG, fine-tuning and training built from public sources
Turn survey data into research papers
Stage
Not given
Not given
Founded
Not given
Not given
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 plan with no monthly credits. Basic: $50/month ($20/month yearly) with 50 credits per month. Pro: $100/month ($40/month yearly) with 150 credits per month. Enterprise: $200/month ($80/month yearly) with 400 credits per month. Every task costs 30 credits to unlock.
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
Upload survey data in CSV, XLSX, and XLS formats
AI-powered data cleaning and preprocessing
Automated statistical analysis
AI research design and framing
Generate reports in 8 languages
Preview PDF results before download
Download in multiple formats: PDF, Word, LaTeX
Priority queue processing for paid plans
Email notification when reports are ready
Support for medical and clinical data
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
All-in-one paper writing agent combining data cleaning, analysis, and report generation
Automates the manual workflow between raw data and usable paper drafts
Supports multiple output languages for global research audiences
Delivers editable outputs for continued customization
Data2Paper