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@@ -110,6 +110,8 @@ We have collected a total of 3.6M conversations, approximately 4.51 billion toke
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  ### Dataset Construction
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  #### Base Dataset: Knowledge Injection with Retrieval Augmentation
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  We developed a knowledge search system using open Chinese knowledge corpora, integrated with [QDrant](https://qdrant.tech/). To construct Supervised Fine-Tuning(SFT) pairs, we followed this process:
 
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  ### Dataset Construction
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+ The data construction for Kyara is divided into two parts: English and Chinese. For the English part, we have incorporated multiple high-quality open-source datasets, such as `teknium/OpenHermes-2.5` and `arcee-ai/The-Tome`, and performing semantic deduplication to drop out near-similar examples. As for the Chinese part, the construction follows the process outlined below:
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  #### Base Dataset: Knowledge Injection with Retrieval Augmentation
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  We developed a knowledge search system using open Chinese knowledge corpora, integrated with [QDrant](https://qdrant.tech/). To construct Supervised Fine-Tuning(SFT) pairs, we followed this process: