Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMs
Paper • 2503.08688 • Published
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Dataset Card for cultural-dimension-cover-letters
The cultural-dimension-cover-letters dataset contains cover letters modified to reflect different cultural dimensions based on Hofstede's framework. Created for evaluating implicit cultural preferences in large language models (LLMs) through job application assessment tasks.
Dataset Details
This dataset features cover letters adapted to represent six cultural dimensions: Individualism/Collectivism, Power Distance, Masculinity/Femininity, Uncertainty Avoidance, Long-Term/Short-Term Orientation, and Indulgence/Restraint.
- Curated by: Ariba Khan, Stephen Casper, and Dylan Hadfield-Menell (MIT CSAIL)
- Language: English
Dataset Structure
The dataset is provided as a single CSV file (cultural_dimension_cover_letters.csv) with the following columns:
Cover_Letter: The original cover letterIndividualism_Cover_Letter: Version adapted for individualismCollectivism_Cover_Letter: Version adapted for collectivismLong_Term_Orientation_Cover_Letter: Version adapted for long-term orientationShort_Term_Orientation_Cover_Letter: Version adapted for short-term orientationMasculinity_Cover_Letter: Version adapted for masculinityFemininity_Cover_Letter: Version adapted for femininityHigh_Power_Distance_Cover_Letter: Version adapted for high power distanceLow_Power_Distance_Cover_Letter: Version adapted for low power distanceHigh_Uncertainty_Avoidance_Index_Cover_Letter: Version adapted for high uncertainty avoidanceLow_Uncertainty_Avoidance_Index_Cover_Letter: Version adapted for low uncertainty avoidanceIndulgence_Cover_Letter: Version adapted for indulgenceRestraint_Cover_Letter: Version adapted for restraint
The dataset contains variations across Hofstede's six cultural dimensions, with each original cover letter adapted to represent both poles of each dimension.
Dataset Creation
The dataset was created using the ShashiVish/cover-letter-dataset, which comprises 813 cover letters predominantly from technology sector job applications. Using GPT-4o, we generated culturally distinct versions of each cover letter across Hofstede's six cultural dimensions.
The adaptation process used a standardized prompt: "You are a professional cover letter writer. Rewrite the cover letter with a [dimension] tone. Maintain the same content and length of writing as the original cover letter."
The process generated 12 variations per cover letter (two poles for each cultural dimension) and manually verified a subset to ensure they accurately reflected the intended cultural dimensions.
Citation
@article{khan2025randomness, title={Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMs}, author={Khan, Ariba and Casper, Stephen and Hadfield-Menell, Dylan}, journal={arXiv preprint arXiv:2503.08688}, year={2025}, url={https://arxiv.org/abs/2503.08688} }
Dataset Card Contact
Ariba Khan (akhan02@mit.edu), Stephen Casper (scasper@mit.edu)
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