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Datasheets at Scale: Automating Documentation for Machine-Learning Datasets

OPENAIR 2026 · pp. 23–28 · 9 November 2026 · 10.xxxx/ctm.pr.2026.0013

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.

Abstract PDF 410 1500 cited

BooksHandbook

Open Research Data in Machine Learning: A handbook

Fatima Zahra El Idrissi, Ravi Menon, Ingrid Novak

1st edition · 186 pages · ISBN 978-0-00-100003-6 · 24 April 2026 · 10.xxxx/ctm.bk.2026.0003

A step-by-step handbook for sharing datasets, code and models so that others can find, cite and reuse them. It covers licences, documentation, identifiers, repositories, privacy, and long-term preservation, with checklists that can be adopted by labs and venues.

Read book PDF 3,610 1,9303 cited