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XianjingHan/CultureVidBench

CultureVidBench Dataset Dataset Description CultureVidBench is a benchmark for evaluating cultural understanding in text-to-video (T2V) generation. The benchmark contains 1,000 prompts covering: 12 countries 6 continents 8 cultural regions 3 cultural categories 14 cultural aspects Project Page: https://hanxjing.github.io/CultureVidBench/ Cultural Categories Category Aspects Number of Prompts Material Culture Food, Clothing, Architecture… See the full description on the dataset page: https://huggingface.co/datasets/XianjingHan/CultureVidBench.

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Dataset Card

CultureVidBench Dataset

Dataset Description

CultureVidBench is a benchmark for evaluating cultural understanding in text-to-video (T2V) generation.

The benchmark contains 1,000 prompts covering:

  • —12 countries
  • —6 continents
  • —8 cultural regions
  • —3 cultural categories
  • —14 cultural aspects

Project Page: https://hanxjing.github.io/CultureVidBench/

Cultural Categories

CategoryAspectsNumber of Prompts
Material CultureFood, Clothing, Architecture, Decorations272
Social Practice & PerformanceGreetings, Dining, Celebrations, Dancing, Games, Sports, Concert386
Ritual & CeremonyWedding, Funeral, Religious Activity342
Total14 aspects1,000

Prompt Distribution by Country

CountryNumber of Prompts
China102
Italy88
India87
United States87
Malaysia84
Japan84
Russia83
Brazil81
Ethiopia80
Nigeria76
New Zealand75
Netherlands73

Dataset Format

  • —country
  • —aspect
  • —culture_element
  • —prompt

Dataset Sources

  • —Cultural elements were collected from CulturalAtlas and Wikipedia.

Citation

If you find this dataset helpful, please consider citing our work:

bibtex
@inproceedings{han2026culturevidbench,
  title={CultureVidBench: Benchmarking Cultural Understanding in Text-to-Video Generation},
  author={Han, Xianjing and Su, Yuhan and Deng, Yang and Ma, Dong and Tay, Wee Peng and Zhu, Bin},
  booktitle={Proceedings of the Conference on Empirical Methods in Natural Language Processing},
  year={2026}
}