TAUR-dev/evals__reproduced_s1k_32B_fft

该数据集包含了文档ID、文档内容（包括答案、难度级别、问题、解决方案、主题和唯一标识符）、目标、参数（包括生成参数和相应的布尔值、最大生成标记数、温度和截至标记）、响应和过滤后的响应等字段。数据集分为训练集，共有500个示例。这些信息表明数据集可能用于文本生成或问答系统训练。

The dataset includes fields such as document ID, document content (including answer, level, problem, solution, subject, and unique identifier), target, arguments (including generation arguments and corresponding boolean values, maximum generation tokens, temperature, and until token), responses, and filtered responses. The dataset is split into a training set with a total of 500 examples. This information suggests that the dataset may be used for text generation or training of question-answering systems.