Generative Artificial Intelligence, Cultural Context and Discrimination Generative: [research data]
= Künstliche Intelligenzen, kultureller Kontext und Diskriminierung : Datensatz - Textdokumente
Künstliche Intelligenzen, kultureller Kontext und Diskriminierung : Datensatz - Textdokumente
Thielicke-Witt, Valerian
VerfasserIn
aut
Weiß, Ana-Nzinga
VerfasserIn
aut
Miltzow, Hannah
VerfasserIn
aut
software, multimedia
Computerdaten
Forschungsdaten
xx
2025
monographic
Rostock
University of Rostock
publisher
2025
München
Ludwig-Maximilians-Universität
publisher
2025
Rostock
Rostock University Library
distributor
eng
1 Online-Ressource (5 Seiten)
The dataset contains data from a qualitative study on texts generated by large language models (Mistral Large Instruct, Gemma 3, DeepSeek R1, Meta Llama 3.1, Llama Sauerkraut, Qwen 3) using various comparable prompts in three different languages (German, English, French) to define diversity in order to identify political and cultural bias in the training material. Each result was generated using a new context window and the same or comparable settings between the LLMs (medium temp, top_p and the same system prompt). The process was repeated at least five times for each prompt in the respective language. In addition, the settings were experimented with in an additional run. In total, the dataset comprises more than 270 comparable documents and more than 50 experimental documents, which are stored as .rtf files and .txt files in the dataset.<eng>
Open Access
Namensnennung - Nicht kommerziell 4.0 International
Valerian Thielicke-Witt, Ana-Nzinga Weiß, Hannah Miltzow
Das Projekt wurde durch die Interdisziplinäre Fakultät (INF) der Universität Rostock im Rahmen des Bereichs "Wissen - Kultur - Transformation" (WKT) gefördert
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https://purl.uni-rostock.de/rosdok/id00005015
10.18453/rosdok_id00005015
1559638430
rda
DE-627
251208
1945030178
20260217T122927.0
Converted from MARCXML to MODS version 3.8 using MARC21slim2MODS3-8_XSLT1-0.xsl
(Revision 1.174 20250328)
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