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The RISE Humanities Data Benchmark: A Framework for Evaluating Large Language Models for Humanities Tasks Cover

The RISE Humanities Data Benchmark: A Framework for Evaluating Large Language Models for Humanities Tasks

Journal of Open Humanities Data
Volume 12 (2026): Issue 1
By: Maximilian Hindermann,  Sorin Marti,  Lea Katharina Kaspera and  Arno Bossea  
Open Access
|Feb 2026

Authors

Maximilian Hindermann

maximilian.hindermann@unibas.ch

Research & Infrastructure Support (RISE), Universität Basel; Universitätsbibliothek Basel

Sorin Marti

sorin.marti@unibas.ch

Research & Infrastructure Support (RISE), Universität Basel

Lea Katharina Kaspera

lea.kasper@unibas.ch

Research & Infrastructure Support (RISE), Universität Basel; Europainstitut der Universität Basel; Departement Geschichte, Universität Basel

Arno Bossea

arno.bosse@unibas.ch

Research & Infrastructure Support (RISE), Universität Basel
DOI: https://doi.org/10.5334/johd.481 | Journal eISSN: 2059-481X
Journal RSS Feed
Language: English
Submitted on: Nov 15, 2025
|
Accepted on: Jan 7, 2026
|
Published on: Feb 4, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
benchmarking,
humanities,
large language models,
evaluation,
data infrastructure,
reproducibility

© 2026 Maximilian Hindermann, Sorin Marti, Lea Katharina Kaspera, Arno Bossea, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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