Published October 31, 2023 | Version v1
Dataset Open

Lost in Translation? Not for Large Language Models: Automated Divergent Thinking Scoring Performance Translates to Non-English Contexts (Datasets)

Authors/Creators

  • 1. ROR icon University of Wrocław
  • 2. ROR icon University of Denver
  • 3. ROR icon University of Georgia

Contributors

  • 1. ROR icon University of Wrocław
  • 2. ROR icon University of Denver
  • 3. ROR icon University of Georgia

Description

Datasets for: Zielińska, A., Organisciak, P., Dumas, D., & Karwowski, M. (2023). Lost in translation? Not for large language models: Automated divergent thinking scoring performance translates to non-English contexts. Thinking Skills and Creativity, 50, 101414. https://doi.org/10.1016/j.tsc.2023.101414

Files

README.txt

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Additional details

Related works

Has metadata
Computational notebook: https://zenodo.org/records/12635428 (URL)
Journal article: https://zenodo.org/records/12573032 (URL)

Funding

National Science Centre
Grant 2022/45/B/HS6/00372
National Science Centre
Grant 2022/45/N/HS6/00625

Dates

Available
2023-10-31

Software

Repository URL
https://osf.io/ftnvg/
Programming language
R