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--- |
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language: |
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- en |
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pretty_name: 'Comics: Pick-A-Panel' |
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dataset_info: |
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config_name: char_coherence |
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features: |
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- name: context |
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sequence: image |
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- name: options |
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sequence: image |
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- name: index |
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dtype: int32 |
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- name: solution_index |
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dtype: int32 |
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- name: split |
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dtype: string |
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- name: task_type |
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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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- name: test |
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num_bytes: 1139804961.0 |
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num_examples: 489 |
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download_size: 1518604969 |
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dataset_size: 1519052004.0 |
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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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- split: test |
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path: char_coherence/test-* |
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tags: |
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- comics |
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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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