| | --- |
| | dataset_info: |
| | features: |
| | - name: instruction |
| | dtype: string |
| | - name: input |
| | dtype: string |
| | - name: output |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 30938408 |
| | num_examples: 37413 |
| | download_size: 19612221 |
| | dataset_size: 30938408 |
| | language: |
| | - fr |
| | - en |
| | --- |
| | |
| | # Dataset Description: opus_instruction_format |
| |
|
| | 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: |
| | - "Traduire la ou les phrases suivantes en anglais" (Translate the following sentence(s) into English) |
| | - "Traduce the following sentences in english". |
| |
|
| | The dataset consists of input sentences in either English or French and their corresponding translations in French or English. |
| |
|
| | The dataset includes a variety of sentence types, ranging from simple to complex sentences, and covers a wide range of topics. |
| |
|
| | The dataset consists of a total of 37413 number of examples. |
| |
|
| | 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. |
