asdasd1314/CTI_0.1

Alpaca-Cleaned数据集是原始Alpaca数据集的清理版本，修复了原始数据集中存在的多个问题，如幻觉、合并指令、空输出、空代码示例、生成图像指令、N/A输出、不一致的输入字段、错误答案、非明确指令以及多余的转义和控制字符。该数据集包含52,000个英文指令和演示，用于指令微调预训练语言模型，使其更好地遵循指令。

This is a cleaned version of the Alpaca Dataset released by Stanford. The dataset addresses multiple issues from the original version, including hallucinations, merged instructions, empty outputs, missing code examples, instructions to generate images, N/A outputs, inconsistent input fields, wrong answers, non-sensical/unclear instructions, and extraneous escape and control characters. The original Alpaca Dataset contains 52,000 instructions and demonstrations generated by OpenAIs `text-davinci-003` engine, used for instruction-tuning language models. The dataset is primarily designed for training pretrained language models, with data in English.