
This dataset contains the images and labels of the Nuremberg Letterbooks dataset. It consists of four books (books 2 - 5) with line-wise transcriptions. Three kinds of transcriptions are reported: basic, regularized, and diplomatic, with additional expanded abbreviations. Code templates for text verification and writer verification are available at: https://github.com/M4rt1nM4yr/letterbooks_text_verification https://github.com/M4rt1nM4yr/letterbooks_writer_verification When using this dataset, please cite: M. Mayr, J. Krenz, K. Neumeier, A. Bub, S. Bürcky, N. Brolich, K. Herbers, M. Habermann, P. Fleischmann, A. Maier, and V. Christlein. Nuremberg Letterbooks: A Multi-Transcriptional Dataset of Early 15th Century Manuscripts for Document Analysis. Sci Data 12, 811 (2025).https://doi.org/10.1038/s41597-025-05144-z
Document Analysis, Handwritten Text Recognition, Writer Identification
Document Analysis, Handwritten Text Recognition, Writer Identification
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
