Update README.md

README.md

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 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
-This particular model has been trained specifically on Russian definition-word pairs from dictionary data and crosswords (specifically the data presented [here](https://huggingface.co/datasets/snagbreac/russian-reverse-dictionary-train-data)). As such, it can be used as a reverse dictionary when plugged into the semantic search pipeline as an encoder. It might be useful for something else, but I haven't tested for that so I wouldn't know.
+This particular model has been trained on Russian definition-word pairs from dictionary data and crosswords (specifically the data presented [here](https://huggingface.co/datasets/snagbreac/russian-reverse-dictionary-train-data)). As such, it can be used as a reverse dictionary when plugged into the semantic search pipeline as an encoder. It might be useful for something else, but I haven't tested for that so I wouldn't know.
 
 ## Usage (Sentence-Transformers)