corpus-quality is an open-source command-line tool for profiling, scoring, deduplicating, and validating document corpora in machine learning pipelines. It helps ML engineers ensure high-quality data before embedding or training models.
corpus-quality sits in PulseGate's LLM eval & observability category. It focuses on ensuring the quality and validity of text corpora before embedding in ML pipelines. corpus-quality is an open-source project aimed at machine learning engineers. The project is open source (MIT). It runs on the web and the command line.
corpus-quality first shipped in 2026. Across PulseGate's embedding index, corpus-quality has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are document scoring, deduplication, and corpus validation.
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