metadata

language:
  - en
pretty_name: 'Comics: Pick-A-Panel'
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
    - name: test
      num_bytes: 1139804961
      num_examples: 489
  download_size: 1518604969
  dataset_size: 1519052004
configs:
  - config_name: char_coherence
    data_files:
      - split: val
        path: char_coherence/val-*
      - split: test
        path: char_coherence/test-*
tags:
  - comics

Comics: Pick-A-Panel

This is the dataset for the ICDAR 2025 Competition on Comics Understanding in the Era of Foundational Models

The dataset contains five subtask or skills:

Sequence Filling
Character Coherence
Visual Closure
Text Closure
Caption Relevance