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num_bytes: 379247043
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num_examples: 143
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download_size: 379265555
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dataset_size: 379247043
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configs:
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- config_name: char_coherence
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data_files:
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- split: val
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path: char_coherence/val-*
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---
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dtype: string
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splits:
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- name: val
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num_bytes: 379247043
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num_examples: 143
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download_size: 379265555
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dataset_size: 379247043
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configs:
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- config_name: char_coherence
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data_files:
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- split: val
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path: char_coherence/val-*
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language:
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- en
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tags:
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- comics
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pretty_name: 'Comics: Pick-A-Panel'
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---
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# Comics: Pick-A-Panel
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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)
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The dataset contains five subtask or skills:
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- Sequence Filling
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- Character Coherence
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- Visual Closure
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- Text Closure
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- Caption Relevance
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