# Hugging Face Dataset Card metadata for C³B
# 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.