LsTam/opus_instruction_format

---
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
---

# 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.

原始信息汇总

数据集概述：opus_instruction_format

数据集特征

• instruction：字符串类型
• input：字符串类型
• output：字符串类型

数据集分割

• train：
  • 示例数量：37413
  • 数据大小：30938408字节

数据集大小

• 下载大小：19612221字节
• 数据集总大小：30938408字节

数据集内容

• 包含一系列翻译任务的指令，包括两种表述：
  • "Traduire la ou les phrases suivantes en anglais"（将以下句子翻译成英语）
  • "Traduce the following sentences in english"（将以下句子翻译成英语）
• 数据集包含英语或法语的输入句子及其对应的法语或英语翻译。
• 句子类型从简单到复杂不等，覆盖广泛的主题。

数据集用途

• 用于训练和评估LLM（如LLaMA或GPT类型模型），目的是提升其在法语回答方面的能力。