Datasets based on the 2022-12-07 export

5 datasets

• Full compressed graph #

  Comments

  author and committer timestamps were shifted back 1 or 2 hours, based on the Europe/Paris timezone, see https://gitlab.softwareheritage.org/swh/devel/swh-graph/-/issues/4788

  Dataset size

  7.1 TiB

  Export date

  2022-12-07

  Derived datasets

  Path counts

  License blobs (16.4 GiB)

  S3 URL

  s3://softwareheritage/graph/2022-12-07/compressed/

  Download

  For Amazon S3 links, you'll need to install either awscli or swh.datasets.

  aws s3 cp --recursive --no-sign-request s3://softwareheritage/graph/2022-12-07/compressed/ 2022-12-07-compressed
  # OR
  swh datasets download-graph 2022-12-07

  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)

• Graph export in columnar tables #

  Dataset size

  13 TiB

  Export date

  2022-12-07

  S3 URL

  s3://softwareheritage/graph/2022-12-07/orc/

  Download

  For Amazon S3 links, you'll need to install either awscli or swh.datasets.

  aws s3 cp --recursive --no-sign-request s3://softwareheritage/graph/2022-12-07/orc/ 2022-12-07-orc
  # OR
  swh datasets download-export 2022-12-07

  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)

• History and hosting Compressed graph #

  Comments

  This is a compressed graph of only the "history and hosting" layer (origins, snapshots, releases, revisions) and the root directory (or rarely content) of every revision/release; but most directories and contents are excluded

  Dataset size

  1 TiB

  Export date

  2022-12-07

  S3 URL

  s3://softwareheritage/graph/2022-12-07-history/compressed/

  Download

  For Amazon S3 links, you'll need to install either awscli or swh.datasets.

  aws s3 cp --recursive --no-sign-request s3://softwareheritage/graph/2022-12-07-history/compressed/ 2022-12-07-history-compressed
  # OR
  swh datasets download-graph 2022-12-07-history

  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)

• License blobs #

  Dataset size

  16.4 GiB

  Export date

  2022-12-07

  Derived of

  Full compressed graph [2022-12-07]

  SWH Annex URL

  https://annex.softwareheritage.org/public/dataset/license-blobs/2022-12-07/

  Download

  The HTTP links point to directories listing all available files.

  wget --recursive --no-parent --reject "index.html*" https://annex.softwareheritage.org/public/dataset/license-blobs/2022-12-07/

  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:
     • Stefano Zacchiroli. A large-scale dataset of (open source) license text variants. In 19th IEEE/ACM International Conference on Mining Software Repositories, MSR 2022, Pittsburgh, PA, USA, May 23-24, 2022, 757–761. ACM, 2022. URL: https://doi.org/10.1145/3524842.3528491, doi:10.1145/3524842.3528491. (BibTeX)
     • Jesús M. González-Barahona, Sergio Raúl Montes León, Gregorio Robles, and Stefano Zacchiroli. The software heritage license dataset (2022 edition). Empir. Softw. Eng., 28(6):147, 2023. URL: https://doi.org/10.1007/s10664-023-10377-w, doi:10.1007/S10664-023-10377-W. (BibTeX)

• Path counts #

  Dataset size

  Unknown

  Export date

  2022-12-07

  Derived of

  Full compressed graph [2022-12-07]

  S3 URL

  s3://softwareheritage/derived_datasets/2022-12-07/path_counts_forward_ori,snp,rel,rev,dir,cnt/

  Download

  For Amazon S3 links, you'll need to install either awscli or swh.datasets.

  aws s3 cp --recursive --no-sign-request s3://softwareheritage/derived_datasets/2022-12-07/path_counts_forward_ori,snp,rel,rev,dir,cnt/ 2022-12-07-path_counts

  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.