Dataset summary 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 in the OpenAI Cookbook to fine tune the OpenAI gpt oss models. You can load the dataset using: The gpt oss models were trained on the Harmony response format for defining conversation structures, generating reasoning output and structuring function calls. The format is designed to mimic the OpenAI Responses API, and the table below summarizes the different message types used in the dataset: developer The developer message is used to provide custom instructions for the model (what we usually call the system role) : : user The user message is used to provide the input to the model assistant Output by the model which can either be a tool call or a message output. The output might also be associated with a particular “channel” identifying what the intent of the message is. analysis These are messages that are being used by t…
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