Published August 31, 2026 | Version 1.0

Dataset for "Prompt Language as an Interface Condition: Multilingual Variation in LLM Translation and Explanation of Traditional Chinese Medicine Terms"

  • 1. Faculty of Languages and Linguistics, Universiti Malaya, Kuala Lumpur, Malyasia
  • 2. ROR icon University of Malaya

Contributors

Distributor:

  • 1. BEYCAMP TECHNOLOGY GROUP

Description

This dataset contains 972 large language model responses generated for 18 traditional Chinese medicine terms across six general-purpose models, three prompt languages (Chinese, English, and Malay), and three independent runs. It includes the generated English terms and explanations, model and prompt-condition information, WHO 2007 and 2022 terminology reference forms, and the final reconciled coding variables for terminological form, Pinyin visibility, and conceptual representation used in the accompanying study.

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