We introduce CommissionsQC, a novel Québec French speech corpus designed for training and evaluation of Automatic Speech Recognition (ASR) systems. The dataset addresses the underrepresentation of Québec French in existing multilingual speech corpora, which mostly include European French. CommissionsQC includes over 1,000 hours of high-quality, spontaneous Québec French speech derived from two public inquiries commissioned by Québec's provincial government. The official pdf transcripts, produced by stenographers, were processed to standardize text and align it with audio recordings. The corpus underwent extensive normalization and filtering to ensure accurate alignment and segmentation. Quality metrics and ASR training results confirm that CommissionsQC is suitable for evaluating or enhancing of speech recognition performance in Québec French.