BD-benchmarks is a comprehensive collection of denoised versions of popular NLP benchmark datasets. This repository contains original and cleaned versions of 11 widely-used benchmarks processed using two state-of-the-art denoising methods: DeepSeek-R1 and WAC-GEC (Whitespace Anomaly Correction - Grammar Error Correction).