Datasets based on the 2021-03-23 export

5 datasets

• Full compressed graph #

  Dataset size

  Unknown

  Export date

  2021-03-23

  Teaser dataset

  Popular 3k python compressed graph (15 GB)

  Derived dataset

  License blobs (14.1 GiB)

  S3 URL

  s3://softwareheritage/graph/2021-03-23/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/2021-03-23/compressed/ 2021-03-23-compressed
  # OR
  swh datasets download-graph 2021-03-23

  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

  8.4 TiB

  Export date

  2021-03-23

  Teaser dataset

  Popular 3k python columnar tables (36 GB)

  S3 URL

  s3://softwareheritage/graph/2021-03-23/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/2021-03-23/orc/ 2021-03-23-orc
  # OR
  swh datasets download-export 2021-03-23

  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)

• License blobs #

  Dataset size

  14.1 GiB

  Export date

  2021-03-23

  Derived of

  Full compressed graph [2021-03-23]

  SWH Annex URL

  https://annex.softwareheritage.org/public/dataset/license-blobs/2021-03-23/

  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/2021-03-23/

  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)

• Popular 3k python columnar tables #

  Comments

  The popular-3k-python teaser contains a subset of 2197 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:

  • the 580 most popular GitHub projects written in Python (by number of stars),
  • the 135 GitLab.com projects written in Python that have 2 stars or more,
  • the 827 most popular PyPI projects (by usage statistics, according to the Top PyPI Packages database),
  • the 655 most popular Debian packages with the debtag implemented-in::python (by "votes" according to the Debian Popularity Contest database)

  Dataset size

  36 GB

  Export date

  2021-03-23

  Teaser of

  Graph export in columnar tables [2021-03-23]

  S3 URL

  s3://softwareheritage/graph/2021-03-23-popular-3k-python/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/2021-03-23-popular-3k-python/orc/ 2021-03-23-popular-3k-python-orc
  # OR
  swh datasets download-export 2021-03-23-popular-3k-python

  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 3k python compressed graph #

  Comments

  The popular-3k-python teaser contains a subset of 2197 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:

  • the 580 most popular GitHub projects written in Python (by number of stars),
  • the 135 GitLab.com projects written in Python that have 2 stars or more,
  • the 827 most popular PyPI projects (by usage statistics, according to the Top PyPI Packages database),
  • the 655 most popular Debian packages with the debtag implemented-in::python (by "votes" according to the Debian Popularity Contest database)

  Dataset size

  15 GB

  Export date

  2021-03-23

  Teaser of

  Full compressed graph [2021-03-23]

  S3 URL

  s3://softwareheritage/graph/2021-03-23-popular-3k-python/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/2021-03-23-popular-3k-python/compressed/ 2021-03-23-popular-3k-python-compressed
  # OR
  swh datasets download-graph 2021-03-23-popular-3k-python

  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)

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.