---
dataset_info:
  config_name: char_coherence
  features:
  - name: context
    sequence: image
  - name: options
    sequence: image
  - name: index
    dtype: int32
  - name: solution_index
    dtype: int32
  - name: split
    dtype: string
  - name: task_type
    dtype: string
  splits:
  - name: val
    num_bytes: 379247043
    num_examples: 143
  download_size: 379265555
  dataset_size: 379247043
configs:
- config_name: char_coherence
  data_files:
  - split: val
    path: char_coherence/val-*
language:
- en
tags:
- comics
pretty_name: 'Comics: Pick-A-Panel'
---

# Comics: Pick-A-Panel

This is the dataset for the [ICDAR 2025 Competition on Comics Understanding in the Era of Foundational Models](https://rrc.cvc.uab.es/?ch=31&com=introduction)

The dataset contains five subtask or skills:
- Sequence Filling
- Character Coherence
- Visual Closure
- Text Closure
- Caption Relevance