Updated README to include compound image segmentation

README.md

@@ -174,7 +174,7 @@ The text in the dataset is English.
 
 ### Information Extraction
 
-This folder contains `caption` `answer` pairse intended to be used for information extraction. Each of the files contains answers to given questions about the captions.
+This folder contains `caption`-`answer` pairs intended to be used for information extraction. Each of the files contains answers to given questions about the captions.
 Each file is provided in `csv` and `json` format for convinience for different cases.
 The list of files and questions they answer are shown below:
 
@@ -196,6 +196,15 @@ The list of files and questions they answer are shown below:
 
 We refer the interested reader to the [cypher queries](https://github.com/source-data/soda-data/blob/master/src/soda_data/sdneo/info_extraction_queries.py) used to generate this data for further information.
 
+
+### Compound Image Segmentation
+
+This folder contain the data for the compound image segmentation task. The data is provided in format compatible to train `YOLOv10` models.
+
+The file `soda_panelization_figures.zip` contains 13039 figures extracted from scientific manuscripts, that are labeled to use object detection algorithms to separate the figure into its panels. The dataset is divided into train, validation and test sets. 
+
+The file ``segmented_images.zip`` contains `panel`-`caption` pairs. These have been used, together with multimodal LLMs to assign the correct panel label and caption to each panel in the figure. 
+
 ## Dataset Creation
 
 ### Curation Rationale