An Empirical Comparison of Jupyter Notebooks in Kaggle and GitHub Data Science Projects
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This dataset includes the extracted metadata of public Jupyter Notebooks in data science projects. The initial dataset is collected from the KGTorrent dataset proposed by Quaranta et al., notebooks in GitHub repositories proposed by Pimentel et al., and additional dataset from Settewong et al. The study explores the characteristics of high-ranking computational notebooks on Kaggle and popular data science projects on GitHub to understand what contributes to their success.
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Zenodo创建时间：
2026-09-30
