argilla
/

alpaca-garbage-collector-multilingual

Text Classification

sentence-transformers

text-embeddings-inference

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dvilasuero commited on Apr 4, 2023

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@@ -14,7 +14,7 @@ datasets:
 > [Announcement tweet](https://twitter.com/dvilasuero/status/1643234487386374148?s=20)
 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.)

 > [Announcement tweet](https://twitter.com/dvilasuero/status/1643234487386374148?s=20)
 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 instruction-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.)