Updated Readme

README.md

@@ -44,16 +44,16 @@ This is the dataset for the [ICDAR 2025 Competition on Comics Understanding in t
 The dataset contains five subtask or skills:
 
 ### Sequence Filling
+![Sequence Filling](figures/seq_filling.png)
 <details>
 <summary>Task Description</summary>
-![Sequence Filling](figures/seq_filling.png)
 Given a sequence of comic panels, a missing panel, and a set of option panels, the task is to select the panel that best fits the sequence.
 </details>
 
 ### Character Coherence, Visual Closure, Text Closure
+![Character Coherence](figures/closure.png)
 <details>
 <summary>Task Description</summary>
-![Character Coherence](figures/closure.png)
 These skills require understanding the context sequence to then pick the best panel to continue the story, focusing on the characters, the visual elements, and the text:
 - Character Coherence: Given a sequence of comic panels, pick the panel from the two options that best continues the story in a coherent with the characters. Both options are the same panel, but the text in the speech bubbles is has been swapped.
 - Visual Closure: Given a sequence of comic panels, pick the panel from the options that best continues the story in a coherent way with the visual elements.
@@ -61,9 +61,9 @@ These skills require understanding the context sequence to then pick the best pa
 </details>
 
 ### Caption Relevance
+![Caption Relevance](figures/caption_relevance.png)
 <details>
 <summary>Task Description</summary>
-![Caption Relevance](figures/caption_relevance.png)
 Given a caption from the previous panel, select the panel that best continues the story.
 </details>