Datasets based on the 2019-01-28 export

2 datasets

• Popular 3k python columnar tables #

  Comments

  The popular-3k-python teaser contains a subset of 3052 popular repositories tagged as being written in the Python language, from GitHub, GitLab.com, PyPI and Debian. The selection criteria to pick the software origins was the following, similar to popular-4k:

  • the 1000 most popular GitHub projects written in Python (by number of stars),
  • the 131 GitLab.com projects written in Python that have 2 stars or more,
  • the 1000 most popular PyPI projects (by usage statistics, according to the Top PyPI Packages database),
  • the 1000 most popular Debian packages with the debtag implemented-in::python (by "votes" according to the Debian Popularity Contest database).

  Dataset size

  5.3 GB

  Export date

  2019-01-28

  Teaser of

  Graph export in columnar tables [2018-09-25]

  S3 URL

  s3://softwareheritage/graph/2019-01-28-popular-3k-python/parquet/

  SWH Annex URL

  https://annex.softwareheritage.org/public/dataset/graph/2019-01-28-popular-3k-python/parquet/

  Download

  The HTTP links point to directories listing all available files. For Amazon S3 links, you'll need to install either awscli or swh.datasets.

  aws s3 cp --recursive --no-sign-request s3://softwareheritage/graph/2019-01-28-popular-3k-python/parquet/ 2019-01-28-popular-3k-python-parquet

  wget --recursive --no-parent --reject "index.html*" https://annex.softwareheritage.org/public/dataset/graph/2019-01-28-popular-3k-python/parquet/

  Referencing the dataset

  If you use this dataset for research purposes, please acknowledge Software Heritage as recommended in the publications page, which means doing the next two things:

  1. Add a footnote on the title page of your paper, formatted as: “This work was made possible by Software Heritage, the universal source code archive: https://www.softwareheritage.org”
  2. Cite the following papers:
     • Jean-François Abramatic, Roberto Di Cosmo, and Stefano Zacchiroli. Building the universal archive of source code. Commun. ACM, 61(10):29–31, 2018. URL: https://doi.org/10.1145/3183558, doi:10.1145/3183558. (BibTeX)
     • Roberto Di Cosmo and Stefano Zacchiroli. Software heritage: why and how to preserve software source code. In Shoichiro Hara, Shigeo Sugimoto, and Makoto Goto, editors, Proceedings of the 14th International Conference on Digital Preservation, iPRES 2017, Kyoto, Japan, September 25-29, 2017. 2017. URL: https://hdl.handle.net/11353/10.931064. (BibTeX)

• Popular 4k columnar tables #

  Comments

  This teaser dataset contains a subset of 4000 popular repositories from GitHub, GitLab.com, PyPI and Debian. The selection criteria to pick the software origins was the following:

  • The 1000 most popular GitHub projects (by number of stars)
  • The 1000 most popular GitLab.com projects (by number of stars)
  • The 1000 most popular PyPI projects (by usage statistics, according to the Top PyPI Packages database),
  • The 1000 most popular Debian packages (by "votes" according to the Debian Popularity Contest database)

  Dataset size

  27 GB

  Export date

  2019-01-28

  Teaser of

  Graph export in columnar tables [2018-09-25]

  S3 URL

  s3://softwareheritage/graph/2019-01-28-popular-4k/parquet/

  SWH Annex URL

  https://annex.softwareheritage.org/public/dataset/graph/2019-01-28-popular-4k/parquet/

  Download

  The HTTP links point to directories listing all available files. For Amazon S3 links, you'll need to install either awscli or swh.datasets.

  aws s3 cp --recursive --no-sign-request s3://softwareheritage/graph/2019-01-28-popular-4k/parquet/ 2019-01-28-popular-4k-parquet

  wget --recursive --no-parent --reject "index.html*" https://annex.softwareheritage.org/public/dataset/graph/2019-01-28-popular-4k/parquet/

  Referencing the dataset

  If you use this dataset for research purposes, please acknowledge Software Heritage as recommended in the publications page, which means doing the next two things:

  1. Add a footnote on the title page of your paper, formatted as: “This work was made possible by Software Heritage, the universal source code archive: https://www.softwareheritage.org”
  2. Cite the following papers:
     • Jean-François Abramatic, Roberto Di Cosmo, and Stefano Zacchiroli. Building the universal archive of source code. Commun. ACM, 61(10):29–31, 2018. URL: https://doi.org/10.1145/3183558, doi:10.1145/3183558. (BibTeX)
     • Roberto Di Cosmo and Stefano Zacchiroli. Software heritage: why and how to preserve software source code. In Shoichiro Hara, Shigeo Sugimoto, and Makoto Goto, editors, Proceedings of the 14th International Conference on Digital Preservation, iPRES 2017, Kyoto, Japan, September 25-29, 2017. 2017. URL: https://hdl.handle.net/11353/10.931064. (BibTeX)

By accessing the datasets, you agree with the Software Heritage Ethical Charter for using the archive data, the terms of use for bulk access, and the Software Heritage principles for large language models.

To learn how to use the datasets read the documentation.