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@@ -182,7 +182,7 @@ The dataset consists of four subsets: `default`, `instruct`, `instruct-augment`,
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  - `default` is a parallel translation dataset.
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  - `instruct` serves as an instruction-tuning dataset and consists of prompt/answer pairs created from a 10,000-sample subset of the `default` dataset.
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- - `instruct-augment` is similar to `instruct`, with the distinction being that the prompt/answer pairs have been augmented by Gemini-Pro.
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  - `instruct-large` is an expanded version of `instruct` that includes all samples from the `default` dataset.
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  ### **Default**
 
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  - `default` is a parallel translation dataset.
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  - `instruct` serves as an instruction-tuning dataset and consists of prompt/answer pairs created from a 10,000-sample subset of the `default` dataset.
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+ - `instruct-augment` is similar to `instruct`, with the distinction being that the prompt/answer pairs have been augmented by Gemini-Pro. (Detailed information can be found in our dataset generation code on [Github](https://github.com/Kaifeng-Gao/WenYanWen_English_Parallel/tree/main))
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  - `instruct-large` is an expanded version of `instruct` that includes all samples from the `default` dataset.
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  ### **Default**