Datasets based on the 2018-09-25 export

2 datasets

• Full compressed graph #

  Comments

  A full export of the graph dated from January 2019. The export was done in two phases, one of them called "2018-09-25" and the other "2019-01-28". They both refer to the same dataset, but the different formats have various inconsistencies between them.

  Dataset size

  Unknown

  Export date

  2018-09-25

  SWH Annex URL

  https://annex.softwareheritage.org/public/dataset/graph/2018-09-25/compressed/

  Download

  The HTTP links point to directories listing all available files.

  wget --recursive --no-parent --reject "index.html*" https://annex.softwareheritage.org/public/dataset/graph/2018-09-25/compressed/

  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)
     • Antoine Pietri, Diomidis Spinellis, and Stefano Zacchiroli. The software heritage graph dataset: public software development under one roof. In MSR 2019: The 16th International Conference on Mining Software Repositories, 138–142. IEEE, 2019. doi:10.1109/MSR.2019.00030. (BibTeX)
  deprecated

• Graph export in columnar tables #

  Comments

  A full export of the graph dated from January 2019. The export was done in two phases, one of them called "2018-09-25" and the other "2019-01-28". They both refer to the same dataset, but the different formats have various inconsistencies between them.

  Dataset size

  1.2 TiB

  Export date

  2018-09-25

  Teaser dataset

  Popular 4k columnar tables (27 GB)

  Popular 3k python columnar tables (5.3 GB)

  S3 URL

  s3://softwareheritage/graph/2018-09-25/parquet/

  SWH Annex URL

  https://annex.softwareheritage.org/public/dataset/graph/2018-09-25/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/2018-09-25/parquet/ 2018-09-25-parquet

  wget --recursive --no-parent --reject "index.html*" https://annex.softwareheritage.org/public/dataset/graph/2018-09-25/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)
  deprecated

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.