melvindave/Multilingual-Thinking

Multilingual-Thinking是一个推理数据集，其中思维链已从英语翻译成四种语言之一：西班牙语、法语、意大利语和德语。该数据集是通过从SmolTalk2的SystemChat子集中采样1k训练样本，并用另一种语言模型翻译推理轨迹创建的。该数据集用于微调OpenAI gpt-oss模型，并遵循Harmony响应格式来定义对话结构、生成推理输出和结构化函数调用。数据集包含多种消息类型，如developer、user、assistant、analysis、final和messages，每种类型在对话结构中扮演特定角色。

Multilingual-Thinking is a reasoning dataset where the chain-of-thought has been translated from English into one of 4 languages: Spanish, French, Italian, and German. The dataset was created by sampling 1k training samples from the SystemChat subset of SmolTalk2 and translating the reasoning traces with another language model. This dataset was used to fine-tune the OpenAI gpt-oss models and follows the Harmony response format for defining conversation structures, generating reasoning output and structuring function calls. The dataset includes various message types such as developer, user, assistant, analysis, final, and messages, each serving a specific role in the conversation structure.