Graph export in columnar tables

A set of relational tables stored in a columnar format such as Apache ORC, which is particularly suited for scale-out analyses on data lakes and big data processing ecosystems such as the Hadoop environment.

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/
Deprecated: True

Download the dataset

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:

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”
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)