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KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle - MaRDI portal

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KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle

From MaRDI portal



DOI10.5281/zenodo.4468523Zenodo4468523MaRDI QIDQ6698709

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 16 February 2021

Copyright license: No records found.



Description

KGTorrent is a dataset of Python Jupyter notebooks from the Kaggle platform. The dataset is accompanied by a MySQL database containing metadata about thenotebooks and the activity of Kaggle users on the platform. The information to build theMySQL databasehas been derived from Meta Kaggle, a publicly available dataset containing Kaggle metadata. In this package, we share the complete KGTorrent dataset (consisting of the dataset itself plus its companion database), as well as the specific version of Meta Kaggle used to build the database. More specifically, the package comprises the following three compressed archives: KGT_dataset.tar.bz2, the dataset of Jupyter notebooks; KGTorrent_dump_10-2020.sql.tar.bz2, the dump of the MySQL companion database; MetaKaggle27Oct2020.tar.bz2, a copy of the Meta Kaggle version used to build the database. Moreover, we include KGTorrent_logical_schema.pdf, the logical schema of the KGTorrent MySQL database.






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