Wikipedia Cultural Diversity Dataset: A Complete Cartography for 300 Language Editions
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Abstract (arXiv)
In this paper we present the Wikipedia Cultural Diversity dataset. For each existing Wikipedia language edition, the dataset contains a classification of the articles that represent its associated cultural context, i.e. all concepts and entities related to the language and to the territories where it is spoken. We describe the methodology we employed to classify articles, and the rich set of features that we defined to feed the classifier, and that are released as part of the dataset. We present several purposes for which we envision the use of this dataset, including detecting, measuring and countering content gaps in the Wikipedia project, and encouraging cross-cultural research in the field of digital humanities.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Jan 2019.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 1; 2025: 1.
4 papers.
- 2022Probing Pre-Trained Language Models for Cross-Cultural Differences in Valuescited by 149
- 2024SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generationcited by 19
- 2025LAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and Giriamacited by 2
- 2022Considerations for Multilingual Wikipedia Researchcited by 1
- 2025LAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and Giriama14 Mar 2025
- 2024SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation16 Jan 2024
- 2022Considerations for Multilingual Wikipedia Research5 Apr 2022
- 2022Probing Pre-Trained Language Models for Cross-Cultural Differences in Values25 Mar 2022