Update README.md

README.md

@@ -27,11 +27,11 @@ ZelaiHandi🌱: A Large Open Dataset to Feed the Next Gen of Basque LLMs
 - **License:** CC
 - **Curated by:** Orai NLP Technologies
 
-## Uses
+<!--## Uses -->
 
 <!-- Address questions around how the dataset is intended to be used. -->
 
-The main aim of this dataset is to be used to pretrain fundational LLMs for Basque and their tokenizers.
+<!--The main aim of this dataset is to be used to pretrain fundational LLMs for Basque and their tokenizers. -->
 
 <!--### Direct Use -->
 
@@ -128,11 +128,9 @@ administrative: Legebiltzarra...    | 92,6           | public domain
 | ikergazte          | 1,7            | cc-by-sa 3.0              |
 | game-erauntsia
 
-#### Personal and Sensitive Information
+<!-- #### Personal and Sensitive Information-->
 
-The dataset contains publicly available data that might be considered personal and sensitive (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.).
-
-[More Information Needed]
+<!-- The dataset contains publicly available data that might be considered personal and sensitive (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.).-->
 
 ## Bias, Risks, and Limitations
 
@@ -144,12 +142,12 @@ We decided to include them in the corpus, to ensure that the corpus contains con
 We did not perform any cleaning or censoring of those, since it might be needed for tasks like hate speech detection.-->
 
 
-### Recommendations
+<!--### Recommendations -->
 
 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
-Users should be made aware of the risks, biases and limitations of the dataset. 
-We suggest filtering sources as literature and subtitles that might contain hate speech, slurs or explicit language before pretraining an LLM for end tasks like interactive chat.
+<!--Users should be made aware of the risks, biases and limitations of the dataset. 
+We suggest filtering sources as literature and subtitles that might contain hate speech, slurs or explicit language before pretraining an LLM for end tasks like interactive chat.-->
 
 ## Citation