Update README.md

README.md

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 Work developed as part of [IRIS] (https://www.inesc-id.pt/projects/PR07005/)
 
-## Extreme Multi-Label Classification of descriptors 
+## Extreme Multi-Label Classification of Descriptors
+The goal of this dataset is to train an Extreme Multi-Label classifier that, given a judgment from the Supreme Court of Justice of Portugal (STJ), can associate relevant descriptors to the judgment.
 
-The goal of this dataset is to train an Extreme Multi-Label classifier that given a judgment of the Supreme Court of Justice of Portugal (STJ) can associate descriptors of STJ.  
+**Dataset Contents:**
+  - Judgment ID: Unique identifier for each judgment.
+  - STJ Section: The section of the STJ to which the judgment belongs.
+  - Judgment Text: Full text of the judgment.
+  - Descriptors List: A list of binary values (0's and 1's) where 1's indicate the presence of active descriptors.
 
-**The Dataset contains:**
-  - id of the judgment
-  - section of the STJ where it belongs
-  - the judgment text
-  - a list of 0's and 1's, where 1's correspond to active descriptors
+The dataset is organized by the sections of the STJ, and each section is further divided into training and testing subsets.
 
-The dataset is divided into sections of the STJ and inside each section is divided in train and test
-
-There is a python file "label.py" that contains a list for each section containing the descriptors names in the same order of the 0's and 1's list in the dataset
+**Additional Files:**
+  - label.py: A Python file containing lists of descriptor names for each section. The order of these lists corresponds to the order of 0's and 1's in the dataset.
 
 
 ## Contributions