Update README.md

README.md

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 # 🚮 🦙 Alpaca GarbageCollector
 
-A cross-lingual SetFit model to **detect bad instructions from Alpaca Datasets** and potentially other instruction-following datasets. 
-`GarbageCollector` can greatly speed up the validation of Alpaca Datasets across many languages, flagging examples that need to be fixed or simply discarded.
+A cross-lingual SetFit model to **detect bad instructions from Alpaca Datasets** and other instruction-following datasets. 
+`GarbageCollector` can greatly speed up the validation of these Datasets across many languages, flagging examples that need to be fixed or simply discarded.
 
+Data quality is key for  LLMs, but open-source LLMs are being built with data of "unknown" quality. This model can help practitioners to find and fix frequent issues (e.g., the model hallucinating stock prices, describing non-existing images, etc.) 
+
+The model has been fine-tuned with 1,000 labeled examples from the AlpacaCleaned dataset labeled with [Argilla](https://www.argilla.io/). It leverages a multilingual sentence transformer `paraphrase-multilingual-mpnet-base-v2`, inspired by the findings from the SetFit paper (Section 6. Multilingual experiments.), where they trained models in English that performed well across languages.
 
 <div style="text-align:center">
     <img src="https://huggingface.co/argilla/alpaca-hallucihunter-multilingual/resolve/main/front-image.png" alt="Alpaca Cleaned"">
 </div>
 
-The model has been fine-tuned with 1,000 labeled examples from the AlpacaCleaned dataset. It leverages a multilingual sentence transformer `paraphrase-multilingual-mpnet-base-v2`, inspired by the findings from the SetFit paper (Section 6. Multilingual experiments.), where they trained models in English that performed well across languages.
 
 It's a binary classifier with two labels: