Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 task_categories:
 - text-ranking
-pretty_name: FineWeb2-Edu-scores
+pretty_name: FineWeb2-JQL-Education
 size_categories:
 - n>1T
 language:
@@ -190,10 +190,10 @@ configs:
 
 ## Dataset summary
 
-Fineweb2-Edu-scores is a **model-annotated** language subset of [**FineWeb2**](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2), spanning **36 languages**. 
+FineWeb2-JQL-Education is a **model-annotated** language subset of [**FineWeb2**](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2), spanning **36 languages**. 
 Our model-annotations allow for a filtering that achieves higher-quality training outcomes without excessively aggressive data reduction. 
 The original FW2 heuristic filtering method serves as our baseline, providing reference points for both the volume of retained tokens and downstream model performance.
-For example, in the Spanish language case, applying the 0.6 threshold retains over 9% more tokens than FW2 while still surpassing its quality . 
+For example, in the Spanish language case, applying the 0.6 threshold retains over 9% more tokens than FW2 filtered while still surpassing its quality . 
 
 Fineweb2-Edu-scores was created based on scores assigned by a deep learning classifier trained to identify **educational samples** using [**Snowflake's Arctic-embed-m-v2.0**](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0) embeddings.