Datasets:
File size: 3,490 Bytes
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# See: https://huggingface.co/docs/hub/datasets-cards
pretty_name: "C³B - Comics Cross-Cultural Benchmark"
short_description: "A multicultural, multitask, and multilingual benchmark for evaluating cultural awareness capabilities of Multimodal Large Language Models (MLLMs)."
description: |
C³B (Comics Cross-Cultural Benchmark) is a benchmark for Multimodal Large Language Models (MLLMs)
comprising over 2,000 images and over 18,000 QA pairs. It features three tasks with progressive difficulty:
basic visual recognition, cultural conflict understanding, and cultural content generation.
Part of the data is built on the Manga109 dataset.
license: "cc-by-4.0"
license_link: "https://creativecommons.org/licenses/by/4.0/"
task_categories:
- visual-question-answering
- image-text-to-text
- text-generation
- image-captioning
tags:
- multilingual
- image-text
- question-answering
- cultural-awareness
- comics
- manga
- benchmark
- multimodal
- MLLM
- cross-cultural
languages:
- ja
- en
- de
- es
- ru
- th
size_categories:
- 10K<n<100K
multimodal:
- image
- text
source_datasets:
- Manga109
- Manga109-s
paper:
title: "Culture In a Frame: C³B as a Comic-Based Benchmark for Multimodal Cultural Awareness"
url: "https://openreview.net/forum?id=jvPdTOSTVl"
authors:
- Yuchen Song
- Andong Chen
- Wenxin Zhu
- Kehai Chen
- Xuefeng Bai
- Muyun Yang
- Tiejun Zhao
venue: "ICLR 2026"
bibtex: |
@inproceedings{song2026c3b,
title={Culture In a Frame: C³B as a Comic-Based Benchmark for Multimodal Cultural Awareness},
author={Song, Yuchen and Chen, Andong and Zhu, Wenxin and Chen, Kehai and Bai, Xuefeng and Yang, Muyun and Zhao, Tiejun},
booktitle={International Conference on Learning Representations (ICLR)},
year={2026},
url={https://openreview.net/forum?id=jvPdTOSTVl}
}
dataset_info:
config_name: default
features:
- name: manga_name
dtype: string
description: "Name of the manga title (from Manga109)."
- name: page_index
dtype: string
description: "Page index within the manga volume."
- name: src
dtype: string
description: "Source text (e.g., Japanese or source language)."
- name: tgt
dtype: string
description: "Target text (e.g., translation or answer)."
splits:
- name: task3
description: "Multilingual translation/alignment (e.g. task3.ja-en.json)."
- name: task12
description: "Cultural content generation (task12.json, generation/all_label.txt)."
citation: |
If you use this benchmark, please cite:
@inproceedings{song2026c3b,
title={Culture In a Frame: C³B as a Comic-Based Benchmark for Multimodal Cultural Awareness},
author={Song, Yuchen and Chen, Andong and Zhu, Wenxin and Chen, Kehai and Bai, Xuefeng and Yang, Muyun and Zhao, Tiejun},
booktitle={International Conference on Learning Representations (ICLR)},
year={2026},
url={https://openreview.net/forum?id=jvPdTOSTVl}
}
restrictions: |
Part of C³B is built on Manga109. Redistribution of Manga109/Manga109-s is not permitted.
When using Manga109 images, credit the author (e.g. courtesy of [Author Name]) and cite the Manga109 papers.
See README for full terms and how to obtain Manga109.
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