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@@ -5,7 +5,11 @@ language:
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  - zh
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  - en
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  library_name: transformers
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- license: mit
 
 
 
 
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  ---
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@@ -110,7 +114,7 @@ We have collected a total of 3.6M conversations, approximately 4.51 billion toke
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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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  - zh
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  - en
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  library_name: transformers
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+ datasets:
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+ - zake7749/kyara-chinese-math-sft-s0-30K
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+ - zake7749/kyara-chinese-preference-rl-dpo-s0-30K
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+ - zake7749/chinese-sft-stem-zh-hant
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+ - zake7749/chinese-sft-stem-zh-hans
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  ---
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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](https://huggingface.co/datasets/teknium/OpenHermes-2.5) and [arcee-ai/The-Tome](https://huggingface.co/datasets/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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