Popular 4k 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
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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
- 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/
- Deprecated
- False
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/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:
- 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”
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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)