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stealthhumanizer-corpus-style-model
Lynote/stealthhumanizer-corpus-style-model
stealthhumanizer-corpus-style-model is a machine learning model from Lynote. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A lightweight, fully open writing-style statistics model trained by Lynote from a corpus of 10,000 Q1 open-access papers (OpenAlex, ranked by citedbycount). It describes the statistical fingerprint of high-quality aca…
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Updated Aug 21, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026
- SHA
- 5ddcb149
Model card
From the Hugging Face model README
StealthHumanizer Corpus Style Model (Lynote)
A lightweight, fully open writing-style statistics model trained by Lynote
from a corpus of 10,000 Q1 open-access papers (OpenAlex, ranked by
cited_by_count). It describes the statistical fingerprint of high-quality
academic human writing and is used by StealthHumanizer as the target-style
reference when rewriting AI-flavored prose.
This is a JSON statistics model (no neural weights): small (~14 KB), deterministic, and trivially auditable.
Contents
- global — corpus-level style statistics: average sentence length, burstiness (sentence-rhythm variance), vocabulary diversity, contraction frequency, passive-voice ratio, first-person pronoun rate, hedging frequency, transition-word frequency, AI-phrase frequency, sentence starters, punctuation profile.
- byDomain — the same profile split across 11 disciplines (Physical Sciences, Medicine, Computer Science, Social Sciences, Education, Mathematics, Life Sciences, Engineering, Economics & Business, Environmental Science, Multidisciplinary).
- sentenceLengthDistribution / burstinessProfile / vocabularyDiversityRange — fine-grained distributions used by the humanizer to shape output rhythm.
- humanWritingExamples — 50 excerpted examples of human academic prose.
Training / lineage
- Corpus: Q1 OA papers via OpenAlex (
cited_by_count-ranked, with DOI). - Pipeline:
scripts/papers/batch-download-and-train.mjsin StealthHumanizer, run daily byscripts/ops/daily-train.shwith a quality gate (accuracy/f1/auroc ≥ 0.55/0.55/0.6 on the held-out benchmark). - Lineage:
data/models/lineage/experiments.jsonlin the same repo.
License
MIT. Part of the StealthHumanizer project (fendouai/StealthHumanizer, MIT).
- License
- mit
- Languages
- en
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026