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February 8, 20260 citationsOpen Access

The Mainz Cuneiform Benchmark Dataset Series: Sign Annotations of 3D Rendered Tablets

THTimo HomburgLALukas AhlbornKBKai-Christian Bruhn

Key Points

  • The aim is to introduce two datasets that standardize cuneiform sign annotations for machine learning applications and paleographic research.
  • Introduced Mainz Cuneiform Benchmark Dataset and Haft Tappeh Collection dataset.
  • Annotated 3D renderings of cuneiform tablets from various time periods.
  • Provided a web interface for experts to suggest corrections.
  • The datasets facilitate cuneiform sign recognition tasks.
  • Rich metadata enables time period classification of tablets.
  • Support paleographic studies in Assyriology.

Abstract

This paper introduces the Mainz Cuneiform Benchmark Dataset (MaiCuBeDa) and the Mainz Cuneiform Benchmark Dataset for the Haft Tappeh Collection (MaiCuBeDa HT), two datasets of cuneiform sign annotations on renderings of 3D models of cuneiform tablets. The first dataset includes annotations of the Frau Professor Hilprecht Collection, a collection of cuneiform tablets from different time periods. The second dataset comprises the first publications of cuneiform sign annotations from the Middle Elamite period, as excavated at the city of Haft Tappeh, Iran. Both datasets are prepared for use in machine learning tasks, such as cuneiform sign recognition, and, due to their rich metadata, also for, e.g., time period classifications of cuneiform tablets. At the same time, they might be used for paleographic studies in Assyriology of their specific time periods. All annotations are also available through a web interface, allowing experts to suggest corrections for further dataset iterations.

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Cite This Study

Homburg et al. (2025) studied this question.

synapsesocial.com/papers/6988292d0fc35cd7a884943chttps://doi.org/10.17169/refubium-51145
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