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--- |
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dataset_info: |
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features: |
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- name: instruction |
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dtype: string |
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- name: input |
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dtype: string |
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- name: output |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 30938408 |
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num_examples: 37413 |
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download_size: 19612221 |
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dataset_size: 30938408 |
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--- |
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# Dataset Description: opus_instruction_format |
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This dataset is a translation dataset from opus-en-fr data, in the same format as the Stanford Alpaca dataset. The dataset contains a set of instructions for translation tasks, which include the following two reformulations: |
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- "Traduire la ou les phrases suivantes en anglais" (Translate the following sentence(s) into English) |
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- "Traduce the following sentences in english". |
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The dataset consists of input sentences in either English or French and their corresponding translations in French or English. |
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The dataset includes a variety of sentence types, ranging from simple to complex sentences, and covers a wide range of topics. |
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The dataset consists of a total of 37413 number of examples. |
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This dataset will be used for training and evaluating LLM such as LLaMA or GPT type models. The goal is to improve it's capabilities to answer in french. |
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