PKU-SafeRLHF-prompt

# Dataset Card for PKU-SafeRLHF-prompt

This dataset contains 44.6K unique prompts from [PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF). 22.4% of the prompts in this dataset come from the sibling project [BeaverTails](https://huggingface.co/datasets/PKU-Alignment/BeaverTails). Additionally, we performed SFT on Llama3-70B using the Alpaca 52K dataset, resulting in Alpaca3-70B. 63.6% and 14.0% of our dataset is generated by Alpaca3-70B and WizardLM-30B-Uncensored, respectively, under the guidance of experts.

Here is the generation pipeline:

## Usage

To load our dataset, use the `load_dataset()` function as follows:

```python
from datasets import load_dataset

dataset = load_dataset("PKU-Alignment/PKU-SafeRLHF-prompt")
```

# PKU-SafeRLHF-prompt 数据集卡片

本数据集包含源自[PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF)的4.46万个独特提示词。其中22.4%的提示词来自姊妹项目[BeaverTails](https://huggingface.co/datasets/PKU-Alignment/BeaverTails)。此外，我们使用Alpaca 52K数据集对Llama3-70B执行监督微调（Supervised Fine-Tuning，SFT），得到Alpaca3-70B；本数据集63.6%与14.0%的提示词分别由Alpaca3-70B与WizardLM-30B-Uncensored在专家指导下生成。

以下为提示词生成流水线：

## 使用方法

如需加载本数据集，请使用`load_dataset()`函数，示例代码如下：
python
from datasets import load_dataset

dataset = load_dataset("PKU-Alignment/PKU-SafeRLHF-prompt")