Update app.py

app.py

@@ -10,9 +10,10 @@ st.title("FW clusters inspection (free topics)")
 st.markdown("""
 We clustered 100k FineWeb samples using [text-clustering](https://github.com/huggingface/text-clustering). 
 
-Our approach involved prompting Mixtral to evaluate whether the topics in each cluster are educational or could be considered college material using a score from 1 to 10. 
+Our approach involved prompting Mixtral to evaluate whether the topics in each cluster are educational or could be considered college material using a score from 1 to 10. \
+Technically, we provide it with 10 random examples from the cluster in the prompt and ask it to judge their topics.
 
-Additionally, the model was tasked with finding the topic of each cluster. 
+Additionally, the model was tasked with finding the topic of each cluster (based on the 10 random examples). 
 """)