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README.md
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## 📊 Dataset Overview and Highlights
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- The dataset provides **Fragment ion probability statistics for 610,117 unique peptide precursors** derived from over 183 million high-resolution HCD spectra
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- Diverse representation of precursors with varying lengths (
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- High-quality annotations derived from validated peptide assignments with 0.1% false discovery rate
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- A novel train-test split scheme is adapted to minimize structural similarity between entries in the training and the testing set.
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## 📊 Dataset Overview and Highlights
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- The dataset provides **Fragment ion probability statistics for 610,117 unique peptide precursors** derived from over 183 million high-resolution HCD spectra
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- Diverse representation of precursors with varying lengths (6-40 amino acids) and charge states (1-8)
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- High-quality annotations derived from validated peptide assignments with 0.1% false discovery rate
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- A novel train-test split scheme is adapted to minimize structural similarity between entries in the training and the testing set.
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