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Git is for Data

Summary: Argues Git's UX/ecosystem is ideal for ML dataset management but vanilla Git fails at scale; introduces XetHub, an extension that preserves Git semantics while enabling TB+ repositories. Demonstrates scalable, low‑friction reproducibility and integration with DevOps pipelines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
478
Venue
CIDR
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,355 | 22.10%
DOI
-

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BibTeX Citation

@inproceedings{low_cidr23,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '23},
        title = {{Git is for Data}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Low, Yucheng and Arya, Rajat and Banerjee, Ajit and Huang, Ann and Ronan, Brian and Koepke, Hoyt and Godlewski, Joseph and Nation, Zach},
        year = {2023}
}

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