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Mycenean Linear B sequences - series D

<p>We present a dataset for Symbol-level language modelling of linear B scripts using a Bidirectional Recurrent Neural Network.&nbsp;<br> The RNN is trained to predict the missing symbol in a given Mycenaean sequence.</p> <p>It includes Series &quot;D&quot; sequences 2565 sequences without missing symbols extracted from:&nbsp;<br> J. Chadwick, L. Godart, J. T. Killen, J. P. Olivier, A. Sacconi, and I. A. Sakellarakis. Corpus of Mycenaean Inscriptions from Knossos: Volumes 1-4,&nbsp;Cambridge University Press, 1987.<br> &nbsp;<br> The first 513 sequences result from the processing of series D tablets,<br> The next 725 sequences result from the augmentation techniques described in the paper<br> The remaining 1327 sequences are duplicates to minimize bias.</p> <p>The dataset was used in the following publication:&nbsp;<br> K. PAPAVASSILEIOU, Kosmopoulos, D. I., G. Owens, &ldquo;A generative model for the Mycenaean Linear B script and its application in infilling text from ancient tablets&rdquo;,&nbsp;ACM Journal on Computing and Cultural Heritage, https://doi.org/10.1145/3593431.</p> <p>If you use this dataset please cite this publication.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

Topics

Dataset details

Repository
zenodo
Published
December 5, 2022
License
cc-by-4.0
DOI
10.5281/zenodo.7404652

Scored with release 0.9.0

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