Update README.md

README.md

@@ -111,7 +111,7 @@ sources provided their data on Open Data Agreements:
 - [`Vilaweb`](https://www.vilaweb.cat/)
 - [`Nació Digita`](https://www.naciodigital.cat/)
 - [`ACN`](https://www.acn.cat/)
-- [`Racó Català`](https://www.racocatala.cat/)
+- [`Racó Català (anonymized version)`](https://www.racocatala.cat/)
 - [`Aquí Berguedà`](https://www.aquibergueda.cat/)
 - ## Academic & Book Repositories
 - [`Tesis Doctorals en Xarxa`](https://www.tesisenred.net/)
@@ -124,11 +124,11 @@ sources provided their data on Open Data Agreements:
 
 ### Annotations
 
-[N/A]
+The score is an automatic label obtained from the aggregation of different heuristic evaluators based on predefined thresholds. Specific evaluators penalize documents for factors like minimum word count, average word per sentence, punctuation per word rate, unique sentences ratio, stopword ratio, Brunet index, language diversity, and content identified by regular expressions, providing a comprehensive approach to document scoring.
 
 #### Annotation process
 
-[N/A]
+The process involves assigning scores between 0 and 1 to sentences, paragraphs, and documents in a hierarchical manner. Individual evaluators at different levels contribute scores that are combined using geometric means, emphasizing a probability-like interpretation to encourage evaluators to assess desirability. The final document score is derived through analogous aggregation of paragraph and document scores, distinct from a linear model.
 
 #### Who are the annotators?
 
@@ -173,4 +173,4 @@ This work was funded by the [Departament de la Vicepresidència i de Polítiques
 
 ### Contributions
 
-[N/A]
+[N/A]