[DOC] Fix MLM example task

README.md

@@ -1,7 +1,6 @@
 ---
 language:
 - en
-library_name: sentence-transformers
 pipeline_tag: fill-mask
 widget:
 - text: "Marshmallon should be [MASK]. It allows a 1 card FTK."
@@ -16,9 +15,9 @@ widget:
 ![time_wiz](https://ms.yugipedia.com//thumb/7/76/TimeWizard-MRD-EN-UR-UE-25thAnniversaryEdition.png/300px-TimeWizard-MRD-EN-UR-UE-25thAnniversaryEdition.png)
 [ImgSource](https://yugipedia.com/wiki/Time_Wizard)
 
-This is a paraphrase-MiniLM-L3-v2 model that has undergone further domain specific pretraining via Masked Language Modelling. 
+This is a sentence-transformers/paraphrase-MiniLM-L3-v2 model that has undergone further domain specific pretraining via Masked Language Modelling. 
 
-Its intended use is for fast vector search in the domain of YuGiOh discourse.
+Its intended use is to create sentence embeddings for fast vector search in the domain of YuGiOh discourse.
 
 The training data was split into two parts:
 1) A private collection of data collected from YouTube Comments:
@@ -30,4 +29,4 @@ The training data was split into two parts:
 |MSTTV |5340|
 |mkohl40|5224|
 
-2) The Full Database of YuGiOh cards accessed via the [YGOProDeck API](https://ygoprodeck.com/api-guide/). The `name`, `type`, `race` and `desc` fields were concatenated and delimited by `\t` to create the training examples.
+2) The Full Database of YuGiOh cards accessed via the [YGOProDeck API](https://ygoprodeck.com/api-guide/) as of 17/05/2023. The `name`, `type`, `race` and `desc` fields were concatenated and delimited by `\t` to create the training examples.