文中提到的数据集下载链接：

https://huggingface.co/datasets/JasonOrange/alpaca_series_datasethttps://huggingface.co/datasets/JasonOrange/alpaca_series_dataset

一. alpaca数据集：

It contains 52K instruction-following data for fine-tuning the Alpaca model. This JSON file is a list of dictionaries, each dictionary contains the following fields:

We used the following prompts for fine-tuning the Alpaca model:

• for examples with a non-empty input field:

Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

### Instruction:
{instruction}

### Input:
{input}

### Response:

• for examples with an empty input field:

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{instruction}

### Response:

二. 《Instruction Tuning with GPT-4》修改过的alpach数据集：

1. alpaca_gpt4_data_en.json: contains 52K instruction-following data generated by GPT-4 with prompts in Alpaca. This JSON file has the same format as Alpaca data, except the output is generated by GPT-4.

2. alpaca_gpt4_data_zh.json: contains 52K instruction-following data generated by GPT-4 with Alpaca prompts translated into Chinese by ChatGPT. This JSON file has the same format.