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Datasheets at Scale: Automating Documentation for Machine-Learning Datasets

In Proceedings of the International Conference on Open and Reproducible AI Research (OPENAIR 2026), pp. 23–28. Nairobi, Kenya, 19 Oct 2026.

DOI 10.xxxx/ctm.pr.2026.0013 · ID CTM-PR-2026-0013

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Idrissi, F. Z. E. & Ibarra, T. (2026). Datasheets at Scale: Automating Documentation for Machine-Learning Datasets. In Proceedings of the International Conference on Open and Reproducible AI Research (OPENAIR 2026) (pp. 23–28). CONTINUUM Proceedings. doi:10.xxxx/ctm.pr.2026.0013

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Abstract

Datasheets improve transparency but are time-consuming to write. We show that a template-driven workflow with automatic statistics halves the time to a complete datasheet and increases the completeness of answers on a fifteen-item rubric.

Keywords datasheets · documentation · datasets

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CTM-PR-2026-0013.pdf

Paper · PDF · pp. 23–28

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How to cite

Idrissi, F. Z. E. & Ibarra, T. (2026). Datasheets at Scale: Automating Documentation for Machine-Learning Datasets. In Proceedings of the International Conference on Open and Reproducible AI Research (OPENAIR 2026) (pp. 23–28). CONTINUUM Proceedings. doi:10.xxxx/ctm.pr.2026.0013

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