ReScraper is a 0.6B refiner that replaces the heuristic HTML-to-text stack of a pretraining data pipeline — a rule-based scraper followed by rule-based cleaning filters — with a single small language model. The model reads the visible text of a raw web page, rendered one block per line with line ids, and generates a short program: 1. An block of line removals (rm 1-4, rm 6, …) that strips headers, menus, boilerplate and other non-content lines. 2. One operation tag for the page: An executor applies the program to the page, so extraction and cleaning happen in one model instead of a cascade of separate stages. The system prompt and the executor that applies the generated program are in the…
Organization
Chenyan Xiong Research Group at CMU
cx-cmu
Models in Library1
Datasets in Library0
Models on Hugging Face6
Followers30
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Published tasks: Text generation.
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