Updaded Readme

README.md

@@ -99,17 +99,24 @@ 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.
@@ -118,9 +125,13 @@ 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>