OpenSQZ/Classifiers-Data

Text Quality Classifier Training Dataset This dataset is specifically designed for training text quality assessment classifiers, containing annotated data from multiple high-quality corpora covering both English and Chinese texts across various professional domains. Dataset Summary Total Size: ~40B tokens (after sampling) Languages: English, Chinese Domains: General text, Mathematics, Programming, Reasoning & QA Annotation Dimensions: Mathematical intelligence… See the full description on the dataset page: https://huggingface.co/datasets/OpenSQZ/Classifiers-Data.

<iframe src="https://silytics.si/embed/item/dd379c9a-6112-4805-8c49-c66a68f258de" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.