Published • loading... • Updated
Building a Vertical Corpus Builder: Clean JSONL Datasets for LLM Fine-Tuning
Summary by DEV Community
This story is only covered by news sources that have yet to be evaluated by the independent media monitoring agencies we use to assess the quality and reliability of news outlets on our platform. Learn more here.1 Articles
1 Articles
Building a Vertical Corpus Builder: Clean JSONL Datasets for LLM Fine-Tuning
Raw web pages are terrible training data. Nav bars, cookie banners, "related articles" and ads drown the signal, and near-identical syndicated text pollutes the corpus. If you're fine-tuning a domain model — legal reasoning, medical QA, financial analysis — you want clean vertical text with provenance, not a pile of HTML. I built an actor that goes from seed URLs to a token-aware JSONL dataset in one run. The pipeline seed URLs → crawl (same-do…
Coverage Details
Total News Sources1
Leaning Left0Leaning Right0Center0Last UpdatedBias DistributionNo sources with tracked biases.
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
Factuality
To view factuality data please Upgrade to Premium
