Meekoye/African-klebsiella-amr-ml-dataset

ML-ready antimicrobial resistance (AMR) dataset derived from African Klebsiella pneumoniae genomes, curated for machine learning and benchmarking. # African-klebsiella-AMR-ML-Dataset ML-ready antimicrobial resistance (AMR) dataset derived from African Klebsiella pneumoniae genomes, curated for machine learning and benchmarking. # African Klebsiella pneumoniae AMR ML Dataset This repository documents a **machine learning–ready antimicrobial resistance (AMR) dataset** derived from African *Klebsiella pneumoniae* genomes. The dataset is curated to support: - ML model prototyping - Benchmarking - Teaching and demonstrations --- ## Public Prototype (Free) The public release includes: - 20 isolates - Binary AMR gene presence/absence matrix - Clean metadata (country, host, isolation source where available) - One row per isolate - One column per AMR gene feature This subset is intentionally limited and suitable for rapid experimentation. --- ## Why this dataset matters - African AMR genomic data is severely underrepresented - Most ML benchmarks rely on non-African datasets - Region-specific signals are often lost in global aggregates This dataset enables exploratory and comparative ML analysis using African-derived data. --- ## Extended Curated Dataset The public prototype represents a **small subset** of a larger curated dataset. Extended releases include: - Larger isolate collections - Improved metadata completeness - Versioned releases - Structured usage terms ➡️ **Access extended curated releases here:** 👉 oniodaniel.gumroad.com --- ## Citation If you use this dataset in academic work, please cite the repository.