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DOI: 10.4121/e058cc9d-7ca8-408f-9233-79ea0bd3953f

Ibrahim, Ahmed (2025): Survey data underlying the MSc thesis: "Generative AI: Investigating Consistency and Neutrality in Multilingual Outputs". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e058cc9d-7ca8-408f-9233-79ea0bd3953f.v1

Categories

• Artificial Intelligence and Image Processing
• Other Information and Communication Services
• Information and Communication Services
• Information and Computing Sciences

Keywords

Arabic Consistency English GenAI

Licence

MIT

Interoperability

• RO-Crate Metadata

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by Ahmed Ibrahim

This dataset contains responses from an online survey designed to evaluate how consistently and neutrally ChatGPT’s English and Arabic answers align across ten prompts (seven politically sensitive, three non-sensitive). Each row captures one participant’s ratings of sentiment and factual consistency between the two language outputs, neutrality scores for each response and the prompt itself, and optional comments. The data were collected via Qualtrics from English- and Arabic-fluent respondents who compared side-by-side model answers, providing quantitative Likert-scale ratings to assess multilingual consistency and neutrality of Generative AI output in a human evaluation study.

History

• 2025-05-20 first online, published, posted

Publisher

4TU.ResearchData

Format

.xlsx

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science