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@@ -44,6 +44,8 @@ The **GammaCorpus-chat-70k** dataset consists of 70,000 structured single-turn c
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  This dataset contains approximately **38 million tokens** of text. It is designed to facilitate the training and evaluation of conversational AI models. This dataset can be especially if you need a collection of a very diverse human-generated prompts and the corresponding responses by a SOTA model.
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  ## Dataset Summary
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  - **Number of Rows**: 68,350
 
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  This dataset contains approximately **38 million tokens** of text. It is designed to facilitate the training and evaluation of conversational AI models. This dataset can be especially if you need a collection of a very diverse human-generated prompts and the corresponding responses by a SOTA model.
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+ > It is recommended to filter this dataset before using in production applications.
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  ## Dataset Summary
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  - **Number of Rows**: 68,350