Update README.md

README.md

@@ -26,14 +26,21 @@ configs:
 This dataset was created by scrapping data from the HAL platform. 
 Over 80,000 articles have been scrapped to keep their id, title and category. 
 
-It was originally used for the French version of [MTEB](https://github.com/embeddings-benchmark/mteb), but it can also be used for various clustering or classification tasks.
+It was originally used for the French version of [MTEB](https://github.com/embeddings-benchmark/mteb), but it can also be used for various clustering or classification tasks, or even evaluate the general knowledge of a model.
+
+⚠️ This dataset contains 2 subsets:
+- ***"raw"*** subset : contains the data originally scrapped, without any cleaning. The data contains mostly titles in French, but also titles in other languages (english, italian, ...)
+- ***"mteb_eval"*** subset : is the subset used for the MTEB evaluation. It is a cleaned up version of the raw dataset. Notably, samples have been removed if :
+  - their "domain" were in a minor class (less than 500 samples were available)
+  - their "title" were less than or equal 2 words
+  - the language was not French
 
 ### Usage
 
 To use this dataset, you can run the following code :
 ```py
 from datasets import load_dataset
-dataset = load_dataset("lyon-nlp/clustering-hal-s2s", name="raw", split="test")
+dataset = load_dataset("lyon-nlp/clustering-hal-s2s", name="mteb_eval", split="test") # for MTEB eval subset
 ```
 
 ### Citation