More info about question format

app.py

@@ -135,7 +135,7 @@ def get_macro_area_data():
     columns = ['Model', 'LI (108)', 'RM (179)', 'RC (33)', 'WF (7)',
                'LS (29)', ' MO (24)', 'SP (4)', 'SY (19)', 'TP (6)']
     dataset.columns = columns
-    # dataset = dataset.style.highlight_max(color='lightgreen', axis=0)
+    dataset = dataset.style.highlight_max(color='lightgreen', axis=0)
     return dataset
 
 

src/about.py

@@ -250,11 +250,15 @@ CITATION_BUTTON_TEXT = r"""
 
 QUESTION_FORMAT_TEXT = """
 Performance (accuracy %) comparison of AI models across school grades and question formats for grades 2 to 13.
-
-
 Due to the stratification and the limited number of questions in some categories, extreme values such as 100 or 0 are more attainable in the sections with few items. 
 
+The question formats are abbreviated as:
 
+- _Multiple Choice (MC)_: composed of a question with several answer options, among which only one is correct.
+- _Multiple Complex Choice (MCC)_: composed of input questions and multiple items to answer.
+- _Unique Response (RU)_: involves open-ended questions in which there are no options or suggestions and where only one answer is considered correct (with sometimes a limited number of possible variants).
+- _Short Response (RB)_: is a specific sub-type of RU questions in which the answer is short, tending to consist of a single identifying word.
+- _Cloze (CL)_: can be open-ended or closed-ended. In both cases, a text with missing words is provided. The aim is to complete the text by inserting the correct missing terms.
 """
 
 MACRO_AREA_TEXT = """"