Updated Readme

README.md

@@ -219,7 +219,7 @@ from datasets import load_dataset
 
 skill = "sequence_filling" # "sequence_filling", "char_coherence", "visual_closure", "text_closure", "caption_relevance"
 split = "val" # "val", "test"
-dataset = load_dataset("VLR-CVC/ComPAP", skill, split=split)
+dataset = load_dataset("VLR-CVC/ComicsPAP", skill, split=split)
 ```
 
 <details>
@@ -405,7 +405,7 @@ from datasets import load_dataset
 
 skill = "sequence_filling" # "sequence_filling", "char_coherence", "visual_closure", "text_closure", "caption_relevance"
 split = "val" # "val", "test"
-dataset = load_dataset("VLR-CVC/ComPAP", skill, split=split)
+dataset = load_dataset("VLR-CVC/ComicsPAP", skill, split=split)
 
 processor = SingleImagePickAPanel()
 dataset = dataset.map(
@@ -414,7 +414,7 @@ dataset = dataset.map(
         batch_size=32,
         remove_columns=['context', 'options']
     )
-dataset.save_to_disk(f"ComPAP_{skill}_{split}_single_images")
+dataset.save_to_disk(f"ComicsPAP_{skill}_{split}_single_images")
 ```
 
 </details>
@@ -441,7 +441,6 @@ Where `sample_id` is the id of the sample, `correct_panel_id` is the prediction
 <summary>Pseudocode for the evaluation on val set, adapt for your model:</summary>
 
 ```python
-split = "val"
 skills = {
     "sequence_filling": {
         "num_examples": 262
@@ -461,7 +460,7 @@ skills = {
 }
 
 for skill in skills:
-    dataset = load_dataset("VLR-CVC/ComPAP", skill, split=split)
+    dataset = load_dataset("VLR-CVC/ComicsPAP", skill, split="val")
     correct = 0
     total = 0
     for example in dataset: