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@@ -22,20 +22,6 @@ Alpaca GPT4: the original **alpaca_gpt4_data.json** dataset contains 52K instruc
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  - input: str, optional context or input for the task.
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  - output: str, the answer to the instruction as generated by GPT-4.
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- The instructions were sourced from the Alpaca GPT4 dataset and translated using the following prompt:
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- ```
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- Act as an unrivaled English-to-Italian Translator. Your task is to translate the given passage into Italian, as you are a native Italian speaker. Each message passage contains an instruction, with an optional input (preceded by [|IN|]) and an output ([|OUT|]). You MUST provide accurate and fluent Italian translations. When translating the instruction use the second person singular. Translate each section. Keep [|IN|] and [|OUT|] placeholders. If the input or output doesn't make sense in Italian, revise them.
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-
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- ENGLISH:
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- """
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- {passage}
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- """
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-
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- ITALIAN:
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- ```
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-
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- where 'passage' represents the original English text. The inputs are structured in a format that allows `gpt-3.5-turbo` to understand the context. They are translated into Italian while preserving the context of the original English instructions, and formatted in the following way: : `<instruction> (optional [|IN|] <input>) [|OUT|] <output>`.
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  ## License
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  Please note that the original Alpaca GPT4 dataset and the translations generated by `gpt-3.5-turbo` may have their respective licenses, and it is important to comply with any usage restrictions specified by the original data sources. As this dataset contains partially translated data, proper attribution and compliance with relevant licenses is recommended.
 
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  - input: str, optional context or input for the task.
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  - output: str, the answer to the instruction as generated by GPT-4.
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  ## License
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  Please note that the original Alpaca GPT4 dataset and the translations generated by `gpt-3.5-turbo` may have their respective licenses, and it is important to comply with any usage restrictions specified by the original data sources. As this dataset contains partially translated data, proper attribution and compliance with relevant licenses is recommended.