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@@ -30,29 +30,6 @@ dataset_info:
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  num_examples: 932
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  download_size: 2198653805
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  dataset_size: 2201624804.0
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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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  - config_name: sequence_filling
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  features:
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  - name: sample_id
@@ -135,8 +112,8 @@ Given a caption from the previous panel, select the panel that best continues th
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  ```python
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  from datasets import load_dataset
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- skill = "seq_filling" # "seq_filling", "char_coherence", "visual_closure", "text_closure", "caption_relevance"
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- split = "val" # "test"
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  dataset = load_dataset("VLR-CVC/ComPAP", skill, split=split)
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  ```
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  num_examples: 932
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  download_size: 2198653805
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  dataset_size: 2201624804.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - config_name: sequence_filling
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  features:
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  - name: sample_id
 
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  ```python
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  from datasets import load_dataset
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+ skill = "sequence_filling" # "sequence_filling", "char_coherence", "visual_closure", "text_closure", "caption_relevance"
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+ split = "val" # "val", "test"
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  dataset = load_dataset("VLR-CVC/ComPAP", skill, split=split)
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  ```
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