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lyon-nlp
/

clustering-hal-s2s

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Text Classification

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mciancone commited on 16 days ago

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@@ -28,7 +28,7 @@ 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, or even evaluate the general knowledge of a model.
-⚠️ This dataset contains 2 subsets. IT IS STRONGLY ADVISE TO USE THE CLEANED UP ``mteb_eval`` SUBSET:
 - ***"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)

 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. *IT IS STRONGLY ADVISED TO USE THE CLEANED UP ``mteb_eval`` SUBSET*:
 - ***"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)