GneissWeb Annotations, powered by IBM Research's GneissWeb methodology, is a dataset of quality and category annotations applied to the Common Crawl corpus.
This dataset enables precise filtering of web content across medical, educational, technology, and scientific domains, making it easier to build high-quality corpora for research projects, language models, and specialized applications.
Learn more about the annotation process and methodology in our official… See the full description on the dataset page:
https://huggingface.co/datasets/commoncrawl/gneissweb-annotation-url-testing-v1.
