StenCore is StentorLabs' first dataset release — a quality-first resource built from the ground up for training language models. Derived from HuggingFaceFW/finepdfs-edu, every document passed a 14-stage automated curation pipeline including heuristic filtering, language ID, PII redaction, toxicity screening, eval decontamination, multi-strategy deduplication, KenLM + neural perplexity scoring, and domain reweighting.