DanielSc4/alpaca-cleaned-italian

Alpaca-Cleaned-Italian数据集是原始Alpaca数据集的清洗版，由斯坦福大学发布。该数据集修复了原始数据集中的多个问题，包括hallucinations、指令合并、空输出、代码示例缺失、生成图像的指令、N/A输出、输入字段使用不一致、错误答案、不清晰的指令和多余的转义和控制字符。原始Alpaca是一个包含52,000个由OpenAI的`text-davinci-003`引擎生成的指令和演示的数据集，可用于对语言模型进行指令微调，使其更好地遵循指令。

The Alpaca-Cleaned-Italian dataset is a cleaned version of the original Alpaca dataset released by Stanford. This dataset fixes several issues found in the original release, including hallucinations, merged instructions, empty outputs, missing code examples, instructions to generate images, N/A outputs, inconsistent input field usage, wrong answers, non-sensical/unclear instructions, and extraneous escape and control characters. The original Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAIs `text-davinci-003` engine, which can be used for instruction-tuning of language models to make them follow instructions better.