Stop training your LLMs on noisy internet scrapes. We provide meticulously structured, ethically sourced, domain-specific data arrays optimized for pre-training and fine-tuning.
Our ingestion engine transforms millions of complex XML/PDF clinical trials and technical documents into clean JSONL — the exact format expected by HuggingFace datasets, PyTorch DataLoaders, and major cloud ML platforms.
Our structured data is optimized for LoRA fine-tuning and RAG (Retrieval-Augmented Generation) architectures. Each document ships with metadata fields enabling targeted domain filtering.
{
"text": "Acetaminophen-induced...",
"domain": "clinical_pharmacology",
"source": "PMC",
"tokens": 312,
"quality_score": 0.94,
"pii_clean": true
}We price by token count and delivery method. Enterprise agreements include unlimited re-download rights and schema update guarantees.
Get a Token-Volume Quote